Merge branch 'infraM/v2_volumes_integration_tests' into infraM/v2_deployments_integration_tests

Replaces the `SuccessResponse<...> & { warning?: Warning; meta?: ExecStats }`
intersection with a single interface that extends SuccessResponse and declares
warning + meta on its own — no stitched intersection. Also types `params` as
`QueryRangeRequestV5` (was `unknown`), so callers can drop the redundant
`as QueryRangeRequestV5` casts.

Knock-on updates: 13 consumers switched from the raw
`SuccessResponse<MetricRangePayloadProps, unknown>` shape to the new
`MetricQueryRangeSuccessResponse`; 3 prod casts removed;
convertV5ResponseToLegacy and getTimeRange tightened their accept-params types.

.github/workflows/integrationci.yaml

@@ -43,6 +43,7 @@ jobs:
           - cloudintegrations
           - dashboard
           - ingestionkeys
+          - inframonitoring
           - logspipelines
           - passwordauthn
           - preference

deploy/docker-swarm/docker-compose.ha.yaml

@@ -190,7 +190,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:v0.126.1
+    image: signoz/signoz:v0.127.0
     ports:
       - "8080:8080" # signoz port
     #   - "6060:6060"     # pprof port
@@ -213,7 +213,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.4
+    image: signoz/signoz-otel-collector:v0.144.5
     entrypoint:
       - /bin/sh
     command:
@@ -241,7 +241,7 @@ services:
       replicas: 3
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.4
+    image: signoz/signoz-otel-collector:v0.144.5
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

deploy/docker-swarm/docker-compose.yaml

@@ -117,7 +117,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:v0.126.1
+    image: signoz/signoz:v0.127.0
     ports:
       - "8080:8080" # signoz port
     volumes:
@@ -139,7 +139,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.4
+    image: signoz/signoz-otel-collector:v0.144.5
     entrypoint:
       - /bin/sh
     command:
@@ -167,7 +167,7 @@ services:
       replicas: 3
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:v0.144.4
+    image: signoz/signoz-otel-collector:v0.144.5
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_CLUSTER=cluster

deploy/docker/docker-compose.ha.yaml

@@ -181,7 +181,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:${VERSION:-v0.126.1}
+    image: signoz/signoz:${VERSION:-v0.127.0}
     container_name: signoz
     ports:
       - "8080:8080" # signoz port
@@ -204,7 +204,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
     container_name: signoz-otel-collector
     entrypoint:
       - /bin/sh
@@ -229,7 +229,7 @@ services:
       - "4318:4318" # OTLP HTTP receiver
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
     container_name: signoz-telemetrystore-migrator
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

deploy/docker/docker-compose.yaml

@@ -109,7 +109,7 @@ services:
       # - ../common/clickhouse/storage.xml:/etc/clickhouse-server/config.d/storage.xml
   signoz:
     !!merge <<: *db-depend
-    image: signoz/signoz:${VERSION:-v0.126.1}
+    image: signoz/signoz:${VERSION:-v0.127.0}
     container_name: signoz
     ports:
       - "8080:8080" # signoz port
@@ -132,7 +132,7 @@ services:
       retries: 3
   otel-collector:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
     container_name: signoz-otel-collector
     entrypoint:
       - /bin/sh
@@ -157,7 +157,7 @@ services:
       - "4318:4318" # OTLP HTTP receiver
   signoz-telemetrystore-migrator:
     !!merge <<: *db-depend
-    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.4}
+    image: signoz/signoz-otel-collector:${OTELCOL_TAG:-v0.144.5}
     container_name: signoz-telemetrystore-migrator
     environment:
       - SIGNOZ_OTEL_COLLECTOR_CLICKHOUSE_DSN=tcp://clickhouse:9000

frontend/src/api/v5/queryRange/convertV5Response.ts

@@ -349,7 +349,7 @@ function convertV5DataByType(
  */
 // eslint-disable-next-line sonarjs/cognitive-complexity
 export function convertV5ResponseToLegacy(
-	v5Response: SuccessResponse<MetricRangePayloadV5>,
+	v5Response: SuccessResponse<MetricRangePayloadV5, QueryRangeRequestV5>,
 	legendMap: Record<string, string>,
 	formatForWeb?: boolean,
 ): SuccessResponse<MetricRangePayloadV3> & { warning?: Warning } {
@@ -357,7 +357,7 @@ export function convertV5ResponseToLegacy(
 	const v5Data = payload?.data;
 
 	const aggregationPerQuery =
-		(params as QueryRangeRequestV5)?.compositeQuery?.queries
+		params?.compositeQuery?.queries
 			?.filter((query) => query.type === 'builder_query')
 			.reduce(
 				(acc, query) => {

frontend/src/container/DashboardContainer/visualization/hooks/__tests__/usePanelContextMenu.test.ts

@@ -1,8 +1,7 @@
 import { renderHook } from '@testing-library/react';
 import { UseQueryResult } from 'react-query';
-import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 
 import { usePanelContextMenu } from '../usePanelContextMenu';
 
@@ -47,10 +46,7 @@ const mockWidget = { id: 'w-1', query: {} } as unknown as Widgets;
 const mockQueryResponse = {
 	data: undefined,
 	isLoading: false,
-} as unknown as UseQueryResult<
-	SuccessResponse<MetricRangePayloadProps, unknown>,
-	Error
->;
+} as unknown as UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 
 describe('usePanelContextMenu', () => {
 	beforeEach(() => {

frontend/src/container/DashboardContainer/visualization/hooks/usePanelContextMenu.ts

@@ -10,17 +10,13 @@ import {
 	PopoverPosition,
 	useCoordinates,
 } from 'periscope/components/ContextMenu';
-import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { DataSource } from 'types/common/queryBuilder';
 
 interface UseTimeSeriesContextMenuParams {
 	widget: Widgets;
-	queryResponse: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 	enableDrillDown?: boolean;
 }
 

frontend/src/container/GridCardLayout/GridCard/types.ts

@@ -5,9 +5,11 @@ import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import { RowData } from 'lib/query/createTableColumnsFromQuery';
 import { OnClickPluginOpts } from 'lib/uPlotLib/plugins/onClickPlugin';
 import { IDashboardVariables } from 'providers/Dashboard/store/dashboardVariables/dashboardVariablesStoreTypes';
-import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import {
+	MetricQueryRangeSuccessResponse,
+	MetricRangePayloadProps,
+} from 'types/api/metrics/getQueryRange';
 import { QueryData } from 'types/api/widgets/getQuery';
 import uPlot from 'uplot';
 
@@ -21,10 +23,7 @@ export interface GraphVisibilityLegendEntryProps {
 
 export interface WidgetGraphComponentProps {
 	widget: Widgets;
-	queryResponse: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 	errorMessage: string | undefined;
 	version?: string;
 	threshold?: ReactNode;

frontend/src/container/GridValueComponent/types.ts

@@ -1,8 +1,7 @@
 import { UseQueryResult } from 'react-query';
 import { ThresholdProps } from 'container/NewWidget/RightContainer/Threshold/types';
-import { SuccessResponse } from 'types/api';
 import { ContextLinksData, Widgets } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import uPlot from 'uplot';
 
 export type GridValueComponentProps = {
@@ -13,10 +12,7 @@ export type GridValueComponentProps = {
 	thresholds?: ThresholdProps[];
 	// Context menu related props
 	widget?: Widgets;
-	queryResponse?: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryResponse?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 	contextLinks?: ContextLinksData;
 	enableDrillDown?: boolean;
 };

frontend/src/container/NewWidget/LeftContainer/WidgetGraph/WidgetGraphs.tsx

@@ -28,9 +28,8 @@ import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import GetMinMax from 'lib/getMinMax';
 import getTimeString from 'lib/getTimeString';
 import { UpdateTimeInterval } from 'store/actions';
-import { SuccessResponse } from 'types/api';
 import { Widgets } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { DataSource } from 'types/common/queryBuilder';
 
 function WidgetGraph({
@@ -202,10 +201,7 @@ function WidgetGraph({
 
 interface WidgetGraphProps {
 	selectedWidget: Widgets;
-	queryResponse: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 	setRequestData: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	selectedGraph: PANEL_TYPES;
 	enableDrillDown?: boolean;

frontend/src/container/NewWidget/LeftContainer/WidgetGraph/util.ts

@@ -1,11 +1,12 @@
+import { QueryRangeRequestV5 } from 'api/v5/v5';
 import { SuccessResponse } from 'types/api';
 import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
 import { Column, QueryData, QueryDataV3 } from 'types/api/widgets/getQuery';
 
 // eslint-disable-next-line sonarjs/cognitive-complexity
 export function populateMultipleResults(
-	responseData: SuccessResponse<MetricRangePayloadProps, unknown>,
-): SuccessResponse<MetricRangePayloadProps, unknown> {
+	responseData: SuccessResponse<MetricRangePayloadProps, QueryRangeRequestV5>,
+): SuccessResponse<MetricRangePayloadProps, QueryRangeRequestV5> {
 	const queryResults = responseData?.payload?.data?.newResult?.data?.result;
 	const allFormattedResults: QueryData[] = [];
 
@@ -66,17 +67,19 @@ export function populateMultipleResults(
 	}
 
 	// Create a copy instead of mutating the original
-	const updatedResponseData: SuccessResponse<MetricRangePayloadProps, unknown> =
-		{
-			...responseData,
-			payload: {
-				...responseData.payload,
-				data: {
-					...responseData.payload.data,
-					result: allFormattedResults,
-				},
+	const updatedResponseData: SuccessResponse<
+		MetricRangePayloadProps,
+		QueryRangeRequestV5
+	> = {
+		...responseData,
+		payload: {
+			...responseData.payload,
+			data: {
+				...responseData.payload.data,
+				result: allFormattedResults,
 			},
-		};
+		},
+	};
 
 	return updatedResponseData;
 }

frontend/src/container/NewWidget/index.tsx

@@ -52,7 +52,6 @@ import {
 	getSelectedWidgetIndex,
 } from 'providers/Dashboard/util';
 import { AppState } from 'store/reducers';
-import { SuccessResponse } from 'types/api';
 import {
 	ColumnUnit,
 	ContextLinksData,
@@ -61,7 +60,7 @@ import {
 } from 'types/api/dashboard/getAll';
 import { Props } from 'types/api/dashboard/update';
 import { IField } from 'types/api/logs/fields';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { EQueryType } from 'types/common/dashboard';
 import { DataSource } from 'types/common/queryBuilder';
 import { GlobalReducer } from 'types/reducer/globalTime';
@@ -398,7 +397,7 @@ function NewWidget({
 
 	// State to hold query response for sharing between left and right containers
 	const [queryResponse, setQueryResponse] = useState<
-		UseQueryResult<SuccessResponse<MetricRangePayloadProps, unknown>, Error>
+		UseQueryResult<MetricQueryRangeSuccessResponse, Error>
 	>(null as any);
 
 	// request data should be handled by the parent and the child components should consume the same

frontend/src/container/NewWidget/types.ts

@@ -2,9 +2,8 @@ import { Dispatch, SetStateAction } from 'react';
 import { UseQueryResult } from 'react-query';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
-import { SuccessResponse, Warning } from 'types/api';
 import { Dashboard, Widgets } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 
 import { timePreferance } from './RightContainer/timeItems';
 
@@ -29,9 +28,7 @@ export interface WidgetGraphProps {
 	setRequestData: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	isLoadingPanelData: boolean;
 	setQueryResponse?: Dispatch<
-		SetStateAction<
-			UseQueryResult<SuccessResponse<MetricRangePayloadProps, unknown>, Error>
-		>
+		SetStateAction<UseQueryResult<MetricQueryRangeSuccessResponse, Error>>
 	>;
 	enableDrillDown?: boolean;
 	dashboardData: Dashboard | undefined;
@@ -39,12 +36,7 @@ export interface WidgetGraphProps {
 }
 
 export type WidgetGraphContainerProps = {
-	queryResponse: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown> & {
-			warning?: Warning;
-		},
-		Error
-	>;
+	queryResponse: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 	setRequestData: Dispatch<SetStateAction<GetQueryResultsProps>>;
 	selectedGraph: PANEL_TYPES;
 	selectedWidget: Widgets;

frontend/src/container/PanelWrapper/TablePanelWrapper.tsx

@@ -1,7 +1,6 @@
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import GridTableComponent from 'container/GridTableComponent';
 import { GRID_TABLE_CONFIG } from 'container/GridTableComponent/config';
-import { QueryRangeRequestV5 } from 'types/api/v5/queryRange';
 
 import { PanelWrapperProps } from './panelWrapper.types';
 
@@ -20,7 +19,7 @@ function TablePanelWrapper({
 		(queryResponse.data?.payload?.data?.result?.[0] as any)?.table || [];
 	const { thresholds } = widget;
 
-	const queryRangeRequest = queryResponse.data?.params as QueryRangeRequestV5;
+	const queryRangeRequest = queryResponse.data?.params;
 
 	return (
 		<GridTableComponent

frontend/src/container/QueryTable/Drilldown/useAggregateDrilldown.tsx

@@ -2,9 +2,8 @@ import { useMemo } from 'react';
 import { UseQueryResult } from 'react-query';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import useDashboardVarConfig from 'container/QueryTable/Drilldown/useDashboardVarConfig';
-import { SuccessResponse } from 'types/api';
 import { ContextLinksData } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { getTimeRange } from 'utils/getTimeRange';
 
@@ -44,10 +43,7 @@ const useAggregateDrilldown = ({
 	aggregateData: AggregateData | null;
 	contextLinks?: ContextLinksData;
 	panelType?: PANEL_TYPES;
-	queryRange?: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryRange?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 }): {
 	aggregateDrilldownConfig: {
 		header?: string | React.ReactNode;

frontend/src/container/QueryTable/Drilldown/useGraphContextMenu.tsx

@@ -2,9 +2,8 @@ import { useMemo } from 'react';
 import { UseQueryResult } from 'react-query';
 import { PANEL_TYPES } from 'constants/queryBuilder';
 import { useGetCompositeQueryParam } from 'hooks/queryBuilder/useGetCompositeQueryParam';
-import { SuccessResponse } from 'types/api';
 import { ContextLinksData } from 'types/api/dashboard/getAll';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 
 import { isValidQueryName } from './drilldownUtils';
@@ -20,10 +19,7 @@ interface UseGraphContextMenuProps {
 	setSubMenu: (subMenu: string) => void;
 	contextLinks?: ContextLinksData;
 	panelType?: PANEL_TYPES;
-	queryRange?: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>;
+	queryRange?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>;
 }
 
 export function useGraphContextMenu({

frontend/src/hooks/queryBuilder/useGetExplorerQueryRange.ts

@@ -7,8 +7,7 @@ import { initialQueriesMap, PANEL_TYPES } from 'constants/queryBuilder';
 import { REACT_QUERY_KEY } from 'constants/reactQueryKeys';
 import { GetQueryResultsProps } from 'lib/dashboard/getQueryResults';
 import { AppState } from 'store/reducers';
-import { SuccessResponse, Warning } from 'types/api';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { Query } from 'types/api/queryBuilder/queryBuilderData';
 import { GlobalReducer } from 'types/reducer/globalTime';
 
@@ -19,16 +18,13 @@ export const useGetExplorerQueryRange = (
 	requestData: Query | null,
 	panelType: PANEL_TYPES | null,
 	version: string,
-	options?: UseQueryOptions<SuccessResponse<MetricRangePayloadProps>, Error>,
+	options?: UseQueryOptions<MetricQueryRangeSuccessResponse, Error>,
 	params?: Record<string, unknown>,
 	isDependentOnQB = true,
 	keyRef?: MutableRefObject<any>,
 	headers?: Record<string, string>,
 	selectedTimeInterval?: GetQueryResultsProps['globalSelectedInterval'],
-): UseQueryResult<
-	SuccessResponse<MetricRangePayloadProps> & { warning?: Warning },
-	Error
-> => {
+): UseQueryResult<MetricQueryRangeSuccessResponse, Error> => {
 	const { isEnabledQuery } = useQueryBuilder();
 	const {
 		selectedTime: globalSelectedInterval,

frontend/src/types/api/metrics/getQueryRange.ts

@@ -8,7 +8,7 @@ import {
 	IClickHouseQuery,
 	IPromQLQuery,
 } from '../queryBuilder/queryBuilderData';
-import { ExecStats } from '../v5/queryRange';
+import { ExecStats, QueryRangeRequestV5 } from '../v5/queryRange';
 import { QueryData, QueryDataV3 } from '../widgets/getQuery';
 
 export type QueryRangePayload = {
@@ -39,11 +39,16 @@ export interface MetricRangePayloadProps {
 	meta?: ExecStats;
 }
 
-/** Query range success response including optional warning and meta */
-export type MetricQueryRangeSuccessResponse = SuccessResponse<
+/** Query range success response. `params` is the request that produced the
+ *  payload; `warning` and `meta` are lifted from the payload to the top level
+ *  by `getQueryResults.ts` for consumer convenience. */
+export interface MetricQueryRangeSuccessResponse extends SuccessResponse<
 	MetricRangePayloadProps,
-	unknown
-> & { warning?: Warning; meta?: ExecStats };
+	QueryRangeRequestV5
+> {
+	warning?: Warning;
+	meta?: ExecStats;
+}
 
 export interface MetricRangePayloadV3 {
 	data: {

frontend/src/utils/getTimeRange.ts

@@ -1,8 +1,7 @@
 import { UseQueryResult } from 'react-query';
 import getStartEndRangeTime from 'lib/getStartEndRangeTime';
 import store from 'store';
-import { SuccessResponse } from 'types/api';
-import { MetricRangePayloadProps } from 'types/api/metrics/getQueryRange';
+import { MetricQueryRangeSuccessResponse } from 'types/api/metrics/getQueryRange';
 import { QueryRangeRequestV5 } from 'types/api/v5/queryRange';
 
 export const getTimeRangeFromQueryRangeRequest = (
@@ -28,13 +27,9 @@ export const getTimeRangeFromQueryRangeRequest = (
 };
 
 export const getTimeRange = (
-	widgetQueryRange?: UseQueryResult<
-		SuccessResponse<MetricRangePayloadProps, unknown>,
-		Error
-	>,
+	widgetQueryRange?: UseQueryResult<MetricQueryRangeSuccessResponse, Error>,
 ): Record<string, number> => {
-	const widgetParams =
-		(widgetQueryRange?.data?.params as QueryRangeRequestV5) || null;
+	const widgetParams = widgetQueryRange?.data?.params;
 
 	return getTimeRangeFromQueryRangeRequest(widgetParams);
 };

tests/integration/testdata/inframonitoring/clusters_filter_dataset.jsonl

@@ -0,0 +1,144 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"node-web-gcp-prod","k8s.node.uid":"node-web-gcp-prod-uid","k8s.cluster.name":"web-gcp-prod","cloud.provider":"gcp","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/clusters_groupby.jsonl

@@ -0,0 +1,72 @@
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tests/integration/testdata/inframonitoring/clusters_happy_path.jsonl

@@ -0,0 +1,84 @@
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+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"hp-c2-n1","k8s.node.uid":"hp-c2-n1-uid","k8s.cluster.name":"happy-cluster-2"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"hp-c2-n1-p1-uid","k8s.pod.name":"hp-c2-n1-p1","k8s.namespace.name":"ns-x","k8s.node.name":"hp-c2-n1","k8s.cluster.name":"happy-cluster-2"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"hp-c2-n2-p1-uid","k8s.pod.name":"hp-c2-n2-p1","k8s.namespace.name":"ns-x","k8s.node.name":"hp-c2-n2","k8s.cluster.name":"happy-cluster-2"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"hp-c2-n2-p2-uid","k8s.pod.name":"hp-c2-n2-p2","k8s.namespace.name":"ns-x","k8s.node.name":"hp-c2-n2","k8s.cluster.name":"happy-cluster-2"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"hp-c2-n2-p2-uid","k8s.pod.name":"hp-c2-n2-p2","k8s.namespace.name":"ns-x","k8s.node.name":"hp-c2-n2","k8s.cluster.name":"happy-cluster-2"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"hp-c2-n2-p2-uid","k8s.pod.name":"hp-c2-n2-p2","k8s.namespace.name":"ns-x","k8s.node.name":"hp-c2-n2","k8s.cluster.name":"happy-cluster-2"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/clusters_missing_metrics.jsonl

@@ -0,0 +1,3 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n","k8s.node.uid":"miss-n-uid","k8s.cluster.name":"miss-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n","k8s.node.uid":"miss-n-uid","k8s.cluster.name":"miss-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n","k8s.node.uid":"miss-n-uid","k8s.cluster.name":"miss-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/clusters_node_readiness.jsonl

@@ -0,0 +1,78 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"rn-ready-1","k8s.node.uid":"rn-ready-1-uid","k8s.cluster.name":"rn-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/clusters_orderby.jsonl

@@ -0,0 +1,90 @@
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tests/integration/testdata/inframonitoring/clusters_pagination.jsonl

@@ -0,0 +1,126 @@
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+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"page-c7-n","k8s.node.uid":"page-c7-n-uid","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-c7-p-uid","k8s.pod.name":"page-c7-p","k8s.namespace.name":"ns-x","k8s.node.name":"page-c7-n","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-c7-p-uid","k8s.pod.name":"page-c7-p","k8s.namespace.name":"ns-x","k8s.node.name":"page-c7-n","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"page-c7-p-uid","k8s.pod.name":"page-c7-p","k8s.namespace.name":"ns-x","k8s.node.name":"page-c7-n","k8s.cluster.name":"page-c7"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/clusters_pod_phases.jsonl

@@ -0,0 +1,36 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-node","k8s.node.uid":"pp-node-uid","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-1-uid","k8s.pod.name":"pp-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-2-uid","k8s.pod.name":"pp-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-3-uid","k8s.pod.name":"pp-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-3-uid","k8s.pod.name":"pp-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-3-uid","k8s.pod.name":"pp-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-4-uid","k8s.pod.name":"pp-run-4","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-4-uid","k8s.pod.name":"pp-run-4","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-run-4-uid","k8s.pod.name":"pp-run-4","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pend-1-uid","k8s.pod.name":"pp-pend-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pend-1-uid","k8s.pod.name":"pp-pend-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/clusters_value_accuracy.jsonl

@@ -0,0 +1,90 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c1-n1","k8s.node.uid":"acc-c1-n1-uid","k8s.cluster.name":"acc-cluster-1"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c2-n3","k8s.node.uid":"acc-c2-n3-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:00:00+00:00","value":16000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c2-n3","k8s.node.uid":"acc-c2-n3-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:02:00+00:00","value":16000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-c2-n3","k8s.node.uid":"acc-c2-n3-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:04:00+00:00","value":16000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c2-n3","k8s.node.uid":"acc-c2-n3-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c2-n3","k8s.node.uid":"acc-c2-n3-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-c2-n3","k8s.node.uid":"acc-c2-n3-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-c2-n3-p-uid","k8s.pod.name":"acc-c2-n3-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c2-n3","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-c2-n3-p-uid","k8s.pod.name":"acc-c2-n3-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c2-n3","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-c2-n3-p-uid","k8s.pod.name":"acc-c2-n3-p","k8s.namespace.name":"ns-x","k8s.node.name":"acc-c2-n3","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/clusters_value_accuracy_expected.json

@@ -0,0 +1,40 @@
+{
+  "records": [
+    {
+      "clusterName": "acc-cluster-1",
+      "clusterCPU": 1.0,
+      "clusterCPUAllocatable": 8.0,
+      "clusterMemory": 2000000000.0,
+      "clusterMemoryAllocatable": 16000000000.0,
+      "nodeCountsByReadiness": {
+        "ready": 2,
+        "notReady": 0
+      },
+      "podCountsByPhase": {
+        "pending": 0,
+        "running": 2,
+        "succeeded": 0,
+        "failed": 0,
+        "unknown": 0
+      }
+    },
+    {
+      "clusterName": "acc-cluster-2",
+      "clusterCPU": 3.0,
+      "clusterCPUAllocatable": 24.0,
+      "clusterMemory": 6000000000.0,
+      "clusterMemoryAllocatable": 48000000000.0,
+      "nodeCountsByReadiness": {
+        "ready": 3,
+        "notReady": 0
+      },
+      "podCountsByPhase": {
+        "pending": 0,
+        "running": 3,
+        "succeeded": 0,
+        "failed": 0,
+        "unknown": 0
+      }
+    }
+  ]
+}

tests/integration/testdata/inframonitoring/deployments_desired_available.jsonl

@@ -0,0 +1,48 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"da-p1-uid","k8s.pod.name":"da-p1","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"da-p2-uid","k8s.pod.name":"da-p2","k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"da-dep","k8s.namespace.name":"ns-da","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/deployments_filter_dataset.jsonl

@@ -0,0 +1,216 @@
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tests/integration/testdata/inframonitoring/deployments_groupby.jsonl

@@ -0,0 +1,108 @@
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tests/integration/testdata/inframonitoring/deployments_happy_path.jsonl

@@ -0,0 +1,96 @@
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+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-dep-2-p2-uid","k8s.pod.name":"happy-dep-2-p2","k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"happy-dep-2","k8s.namespace.name":"ns-h","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/deployments_missing_metrics.jsonl

@@ -0,0 +1,3 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.deployment.name":"miss-dep","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.deployment.name":"miss-dep","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.deployment.name":"miss-dep","k8s.namespace.name":"ns-miss","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/deployments_non_deployment_pods.jsonl

@@ -0,0 +1,69 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"nd-dep-p1-uid","k8s.pod.name":"nd-dep-p1","k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"nd-dep","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"nd-standalone-uid","k8s.pod.name":"nd-standalone","k8s.namespace.name":"ns-nd","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/deployments_orderby.jsonl

@@ -0,0 +1,135 @@
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tests/integration/testdata/inframonitoring/deployments_pagination.jsonl

@@ -0,0 +1,189 @@
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tests/integration/testdata/inframonitoring/deployments_pod_phases.jsonl

@@ -0,0 +1,153 @@
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tests/integration/testdata/inframonitoring/deployments_value_accuracy.jsonl

@@ -0,0 +1,117 @@
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+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"acc-dep-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.deployment.desired","labels":{"k8s.deployment.name":"acc-dep-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"acc-dep-2","k8s.namespace.name":"ns-acc","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/deployments_value_accuracy_expected.json

@@ -0,0 +1,40 @@
+{
+  "records": [
+    {
+      "deploymentName": "acc-dep-1",
+      "deploymentCPU": 1.0,
+      "deploymentCPURequest": 0.5,
+      "deploymentCPULimit": 0.4,
+      "deploymentMemory": 300000000.0,
+      "deploymentMemoryRequest": 0.5,
+      "deploymentMemoryLimit": 0.4,
+      "desiredPods": 3,
+      "availablePods": 2,
+      "podCountsByPhase": {
+        "pending": 0,
+        "running": 2,
+        "succeeded": 0,
+        "failed": 0,
+        "unknown": 0
+      }
+    },
+    {
+      "deploymentName": "acc-dep-2",
+      "deploymentCPU": 1.2,
+      "deploymentCPURequest": 0.4,
+      "deploymentCPULimit": 0.3,
+      "deploymentMemory": 600000000.0,
+      "deploymentMemoryRequest": 0.4,
+      "deploymentMemoryLimit": 0.3,
+      "desiredPods": 4,
+      "availablePods": 4,
+      "podCountsByPhase": {
+        "pending": 0,
+        "running": 3,
+        "succeeded": 0,
+        "failed": 0,
+        "unknown": 0
+      }
+    }
+  ]
+}

tests/integration/testdata/inframonitoring/hosts_filter_dataset.jsonl

@@ -0,0 +1,84 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"prod-linux-1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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tests/integration/testdata/inframonitoring/hosts_groupby_os_type.jsonl

@@ -0,0 +1,126 @@
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+{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"used"},"timestamp":"2025-01-10T10:22:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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+{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:20:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"active-windows-1","os.type":"windows","state":"free"},"timestamp":"2025-01-10T10:22:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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tests/integration/testdata/inframonitoring/hosts_happy_path.jsonl

@@ -0,0 +1,72 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":150,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":80,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":160,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":240,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":40,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":80,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":120,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":500,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":700,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"happy-h2","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":15,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":2100000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":2200000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":6000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":5900000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":5800000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:00:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:02:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:04:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":3000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":3250000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":3500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":4750000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":4500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"buffered"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:00:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:02:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.memory.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:04:00+00:00","value":1500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"happy-h1","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"happy-h1","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.55,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"happy-h1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"happy-h2","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"happy-h2","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"happy-h2","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":49000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":70000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":71000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":72000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":29000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":28000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"happy-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}

tests/integration/testdata/inframonitoring/hosts_missing_metrics.jsonl

@@ -0,0 +1,12 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":300,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:00:00+00:00","value":50,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"system"},"timestamp":"2025-01-10T10:04:00+00:00","value":150,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:02:00+00:00","value":20,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"miss-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:04:00+00:00","value":30,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}

tests/integration/testdata/inframonitoring/hosts_orderby.jsonl

@@ -0,0 +1,120 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":0,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:02:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:04:00+00:00","value":200,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:00:00+00:00","value":400,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:02:00+00:00","value":600,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
+{"metric_name":"system.cpu.time","labels":{"host.name":"order-h1","os.type":"linux","state":"idle"},"timestamp":"2025-01-10T10:04:00+00:00","value":800,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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tests/integration/testdata/inframonitoring/hosts_pagination.jsonl

@@ -0,0 +1,147 @@
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tests/integration/testdata/inframonitoring/hosts_status.jsonl

@@ -0,0 +1,42 @@
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tests/integration/testdata/inframonitoring/hosts_value_accuracy.jsonl

@@ -0,0 +1,72 @@
+{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":100,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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+{"metric_name":"system.memory.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h1","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.6,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h2","os.type":"linux"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h2","os.type":"linux"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.cpu.load_average.15m","labels":{"host.name":"acc-h2","os.type":"linux"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":51000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":52000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":48000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h1","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:00:00+00:00","value":70000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:02:00+00:00","value":71000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":72000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:02:00+00:00","value":29000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"free"},"timestamp":"2025-01-10T10:04:00+00:00","value":28000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-h2","os.type":"linux","state":"reserved"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}

tests/integration/testdata/inframonitoring/hosts_value_accuracy_expected.json

@@ -0,0 +1,20 @@
+{
+  "records": [
+    {
+      "hostName": "acc-h1",
+      "cpu": 0.4444444444444445,
+      "memory": 0.205,
+      "wait": 0.027777777777777776,
+      "load15": 1.525,
+      "diskUsage": 0.48095238095238096
+    },
+    {
+      "hostName": "acc-h2",
+      "cpu": 0.3846153846153845,
+      "memory": 0.3125,
+      "wait": 0.015384615384615384,
+      "load15": 2.025,
+      "diskUsage": 0.6714285714285714
+    }
+  ]
+}

tests/integration/testdata/inframonitoring/namespaces_filter_dataset.jsonl

@@ -0,0 +1,72 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-web-a-prod-uid","k8s.pod.name":"pod-web-a-prod","k8s.namespace.name":"web-a-prod","k8s.cluster.name":"cluster-a","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-api-b-dev-uid","k8s.pod.name":"pod-api-b-dev","k8s.namespace.name":"api-b-dev","k8s.cluster.name":"cluster-b","env":"dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-api-b-dev-uid","k8s.pod.name":"pod-api-b-dev","k8s.namespace.name":"api-b-dev","k8s.cluster.name":"cluster-b","env":"dev"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-api-b-dev-uid","k8s.pod.name":"pod-api-b-dev","k8s.namespace.name":"api-b-dev","k8s.cluster.name":"cluster-b","env":"dev"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-api-b-dev-uid","k8s.pod.name":"pod-api-b-dev","k8s.namespace.name":"api-b-dev","k8s.cluster.name":"cluster-b","env":"dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_groupby.jsonl

@@ -0,0 +1,36 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-1-uid","k8s.pod.name":"pod-gb-ns-1","k8s.namespace.name":"gb-ns-1","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-2-uid","k8s.pod.name":"pod-gb-ns-2","k8s.namespace.name":"gb-ns-2","k8s.cluster.name":"gb-cluster-a"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-3-uid","k8s.pod.name":"pod-gb-ns-3","k8s.namespace.name":"gb-ns-3","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-ns-4-uid","k8s.pod.name":"pod-gb-ns-4","k8s.namespace.name":"gb-ns-4","k8s.cluster.name":"gb-cluster-b"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_happy_path.jsonl

@@ -0,0 +1,36 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1a-uid","k8s.pod.name":"happy-p1a","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p1b-uid","k8s.pod.name":"happy-p1b","k8s.namespace.name":"happy-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2a-uid","k8s.pod.name":"happy-p2a","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2b-uid","k8s.pod.name":"happy-p2b","k8s.namespace.name":"happy-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_missing_metrics.jsonl

@@ -0,0 +1,3 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p-uid","k8s.pod.name":"miss-p","k8s.namespace.name":"miss-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_orderby.jsonl

@@ -0,0 +1,45 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-1-uid","k8s.pod.name":"pod-order-ns-1","k8s.namespace.name":"order-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":400000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-2-uid","k8s.pod.name":"pod-order-ns-2","k8s.namespace.name":"order-ns-2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":300000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-3-uid","k8s.pod.name":"pod-order-ns-3","k8s.namespace.name":"order-ns-3","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-order-ns-4-uid","k8s.pod.name":"pod-order-ns-4","k8s.namespace.name":"order-ns-4","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"pod-order-ns-5-uid","k8s.pod.name":"pod-order-ns-5","k8s.namespace.name":"order-ns-5","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/namespaces_pagination.jsonl

@@ -0,0 +1,63 @@
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tests/integration/testdata/inframonitoring/namespaces_pod_phases.jsonl

@@ -0,0 +1,63 @@
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"pp-ns","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_value_accuracy.jsonl

@@ -0,0 +1,45 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p1a-uid","k8s.pod.name":"acc-p1a","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p1b-uid","k8s.pod.name":"acc-p1b","k8s.namespace.name":"acc-ns-1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2a-uid","k8s.pod.name":"acc-p2a","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2b-uid","k8s.pod.name":"acc-p2b","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2c-uid","k8s.pod.name":"acc-p2c","k8s.namespace.name":"acc-ns-2","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/namespaces_value_accuracy_expected.json

@@ -0,0 +1,16 @@
+{
+  "records": [
+    {
+      "namespaceName": "acc-ns-1",
+      "namespaceCPU": 1.0,
+      "namespaceMemory": 200000000.0,
+      "podCountsByPhase": {"pending": 0, "running": 2, "succeeded": 0, "failed": 0, "unknown": 0}
+    },
+    {
+      "namespaceName": "acc-ns-2",
+      "namespaceCPU": 2.25,
+      "namespaceMemory": 600000000.0,
+      "podCountsByPhase": {"pending": 0, "running": 3, "succeeded": 0, "failed": 0, "unknown": 0}
+    }
+  ]
+}

tests/integration/testdata/inframonitoring/nodes_conditions.jsonl

@@ -0,0 +1,33 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"ready-n","k8s.node.uid":"ready-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_conditions_grouped.jsonl

@@ -0,0 +1,54 @@
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tests/integration/testdata/inframonitoring/nodes_conditions_transition.jsonl

@@ -0,0 +1,18 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"trans-n","k8s.node.uid":"trans-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_filter_dataset.jsonl

@@ -0,0 +1,144 @@
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tests/integration/testdata/inframonitoring/nodes_groupby.jsonl

@@ -0,0 +1,72 @@
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tests/integration/testdata/inframonitoring/nodes_happy_path.jsonl

@@ -0,0 +1,42 @@
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+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"happy-n2","k8s.node.uid":"happy-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-pod-2a-uid","k8s.pod.name":"happy-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-pod-2a-uid","k8s.pod.name":"happy-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-pod-2a-uid","k8s.pod.name":"happy-pod-2a","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-pod-2b-uid","k8s.pod.name":"happy-pod-2b","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-pod-2b-uid","k8s.pod.name":"happy-pod-2b","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-pod-2b-uid","k8s.pod.name":"happy-pod-2b","k8s.namespace.name":"ns-b","k8s.node.name":"happy-n2","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_missing_metrics.jsonl

@@ -0,0 +1,3 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"miss-n1","k8s.node.uid":"miss-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_no_pods.jsonl

@@ -0,0 +1,18 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"no-pod-n","k8s.node.uid":"no-pod-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_orderby.jsonl

@@ -0,0 +1,78 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":20.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n1","k8s.node.uid":"order-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"order-n2","k8s.node.uid":"order-n2-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"order-n3","k8s.node.uid":"order-n3-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_pagination.jsonl

@@ -0,0 +1,108 @@
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+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"page-n7","k8s.node.uid":"page-n7-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"page-n7","k8s.node.uid":"page-n7-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"page-n7","k8s.node.uid":"page-n7-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"page-n7","k8s.node.uid":"page-n7-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"page-n7","k8s.node.uid":"page-n7-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"carrier-pod-uid","k8s.pod.name":"carrier-pod","k8s.namespace.name":"carrier-ns","k8s.node.name":"carrier-phantom-host","k8s.cluster.name":"carrier-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_pod_phases.jsonl

@@ -0,0 +1,30 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"pp-n1","k8s.node.uid":"pp-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-1-uid","k8s.pod.name":"pp-pod-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-1-uid","k8s.pod.name":"pp-pod-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-1-uid","k8s.pod.name":"pp-pod-run-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-2-uid","k8s.pod.name":"pp-pod-run-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-run-3-uid","k8s.pod.name":"pp-pod-run-3","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-1-uid","k8s.pod.name":"pp-pod-fail-1","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-pod-fail-2-uid","k8s.pod.name":"pp-pod-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/nodes_value_accuracy.jsonl

@@ -0,0 +1,36 @@
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_memory","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":8000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.condition_ready","labels":{"k8s.node.name":"acc-n1","k8s.node.uid":"acc-n1-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-pod-1a-uid","k8s.pod.name":"acc-pod-1a","k8s.namespace.name":"ns-a","k8s.node.name":"acc-n1","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":3.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":16.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:00:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:04:00+00:00","value":4000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_value_accuracy_expected.json

@@ -0,0 +1,24 @@
+{
+  "records": [
+    {
+      "nodeName": "acc-n1",
+      "nodeCPU": 1.0,
+      "nodeCPUAllocatable": 4.0,
+      "nodeMemory": 2000000000.0,
+      "nodeMemoryAllocatable": 8000000000.0,
+      "condition": "ready",
+      "nodeCountsByReadiness": {"ready": 1, "notReady": 0},
+      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
+    },
+    {
+      "nodeName": "acc-n2",
+      "nodeCPU": 3.0,
+      "nodeCPUAllocatable": 16.0,
+      "nodeMemory": 4000000000.0,
+      "nodeMemoryAllocatable": 32000000000.0,
+      "condition": "ready",
+      "nodeCountsByReadiness": {"ready": 1, "notReady": 0},
+      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
+    }
+  ]
+}

tests/integration/testdata/inframonitoring/pods_filter_dataset.jsonl

@@ -0,0 +1,168 @@
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tests/integration/testdata/inframonitoring/pods_groupby.jsonl

@@ -0,0 +1,84 @@
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tests/integration/testdata/inframonitoring/pods_happy_path.jsonl

@@ -0,0 +1,42 @@
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"happy-p2-uid","k8s.pod.name":"happy-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_missing_metrics.jsonl

@@ -0,0 +1,3 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"miss-p1-uid","k8s.pod.name":"miss-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"2025-01-10T09:00:00+00:00"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_orderby.jsonl

@@ -0,0 +1,105 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.9,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.05,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"order-p1-uid","k8s.pod.name":"order-p1","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"order-p2-uid","k8s.pod.name":"order-p2","k8s.namespace.name":"ns-order","k8s.node.name":"node-a","k8s.deployment.name":"order-dep","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.8,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/pods_pagination.jsonl

@@ -0,0 +1,147 @@
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tests/integration/testdata/inframonitoring/pods_phases.jsonl

@@ -0,0 +1,105 @@
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tests/integration/testdata/inframonitoring/pods_phases_grouped.jsonl

@@ -0,0 +1,126 @@
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_phases_transition.jsonl

@@ -0,0 +1,21 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_value_accuracy.jsonl

@@ -0,0 +1,42 @@
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p1-uid","k8s.pod.name":"acc-p1","k8s.namespace.name":"ns-a","k8s.node.name":"node-a","k8s.deployment.name":"dep-1","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.25,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1073741824,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.75,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/pods_value_accuracy_expected.json

@@ -0,0 +1,26 @@
+{
+  "records": [
+    {
+      "podName": "acc-p1",
+      "podCPU": 0.5,
+      "podCPURequest": 0.25,
+      "podCPULimit": 0.5,
+      "podMemory": 524288000.0,
+      "podMemoryRequest": 0.5,
+      "podMemoryLimit": 0.25,
+      "podPhase": "running",
+      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
+    },
+    {
+      "podName": "acc-p2",
+      "podCPU": 1.5,
+      "podCPURequest": 0.75,
+      "podCPULimit": 1.0,
+      "podMemory": 1073741824.0,
+      "podMemoryRequest": 0.75,
+      "podMemoryLimit": 0.5,
+      "podPhase": "running",
+      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
+    }
+  ]
+}

tests/integration/testdata/inframonitoring/volumes_filter_dataset.jsonl

@@ -0,0 +1,120 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"data-ns-a-prod","k8s.pod.uid":"pod-data-ns-a-prod-uid","k8s.pod.name":"pod-data-ns-a-prod","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"prod"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"logs-ns-b-dev","k8s.pod.uid":"pod-logs-ns-b-dev-uid","k8s.pod.name":"pod-logs-ns-b-dev","k8s.namespace.name":"ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"dev"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"logs-ns-b-dev","k8s.pod.uid":"pod-logs-ns-b-dev-uid","k8s.pod.name":"pod-logs-ns-b-dev","k8s.namespace.name":"ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x","env":"dev"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_groupby.jsonl

@@ -0,0 +1,60 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a1","k8s.pod.uid":"pod-gb-pvc-a1-uid","k8s.pod.name":"pod-gb-pvc-a1","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-a2","k8s.pod.uid":"pod-gb-pvc-a2-uid","k8s.pod.name":"pod-gb-pvc-a2","k8s.namespace.name":"gb-ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b1","k8s.pod.uid":"pod-gb-pvc-b1-uid","k8s.pod.name":"pod-gb-pvc-b1","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"gb-pvc-b2","k8s.pod.uid":"pod-gb-pvc-b2-uid","k8s.pod.name":"pod-gb-pvc-b2","k8s.namespace.name":"gb-ns-b","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_happy_path.jsonl

@@ -0,0 +1,30 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-1","k8s.pod.uid":"pod-happy-pvc-1-uid","k8s.pod.name":"pod-happy-pvc-1","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"happy-pvc-2","k8s.pod.uid":"pod-happy-pvc-2-uid","k8s.pod.name":"pod-happy-pvc-2","k8s.namespace.name":"ns-a","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_missing_metrics.jsonl

@@ -0,0 +1,3 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"miss-pvc","k8s.pod.uid":"pod-x-uid","k8s.pod.name":"pod-x","k8s.namespace.name":"ns-x","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"miss-pvc","k8s.pod.uid":"pod-x-uid","k8s.pod.name":"pod-x","k8s.namespace.name":"ns-x","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"miss-pvc","k8s.pod.uid":"pod-x-uid","k8s.pod.name":"pod-x","k8s.namespace.name":"ns-x","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_non_pvc_volume.jsonl

@@ -0,0 +1,30 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"np-real-pvc","k8s.pod.uid":"pod-np-real-pvc-uid","k8s.pod.name":"np-real-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"","k8s.pod.uid":"np-emptydir-pod-uid","k8s.pod.name":"np-emptydir-pod","k8s.namespace.name":"ns-np","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_orderby.jsonl

@@ -0,0 +1,75 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":10000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":10000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":10000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-1","k8s.pod.uid":"pod-order-pvc-1-uid","k8s.pod.name":"pod-order-pvc-1","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":20000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":20000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":20000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-2","k8s.pod.uid":"pod-order-pvc-2-uid","k8s.pod.name":"pod-order-pvc-2","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":300000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":300000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":300000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-3","k8s.pod.uid":"pod-order-pvc-3-uid","k8s.pod.name":"pod-order-pvc-3","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":40000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":400000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":400000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":400000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":3200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":3200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":3200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-4","k8s.pod.uid":"pod-order-pvc-4-uid","k8s.pod.name":"pod-order-pvc-4","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":50000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":500000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":500000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":500000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":5000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":5000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":5000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":4000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":4000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":4000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"order-pvc-5","k8s.pod.uid":"pod-order-pvc-5-uid","k8s.pod.name":"pod-order-pvc-5","k8s.namespace.name":"ns-order","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_pagination.jsonl

@@ -0,0 +1,105 @@
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+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"page-pvc-7","k8s.pod.uid":"pod-page-pvc-7-uid","k8s.pod.name":"pod-page-pvc-7","k8s.namespace.name":"ns-page","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_usage_formula.jsonl

@@ -0,0 +1,15 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"uf-pvc","k8s.pod.uid":"pod-uf-pvc-uid","k8s.pod.name":"pod-uf-pvc","k8s.namespace.name":"ns-uf","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_value_accuracy.jsonl

@@ -0,0 +1,30 @@
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":30000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":100000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":800000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-1","k8s.pod.uid":"pod-acc-pvc-1-uid","k8s.pod.name":"pod-acc-pvc-1","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":80000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":80000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.available","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":80000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":200000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":200000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.capacity","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":200000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":2000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":2000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":1600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":1600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.free","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":1600000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:00:00+00:00","value":400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:02:00+00:00","value":400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.volume.inodes.used","labels":{"k8s.persistentvolumeclaim.name":"acc-pvc-2","k8s.pod.uid":"pod-acc-pvc-2-uid","k8s.pod.name":"pod-acc-pvc-2","k8s.namespace.name":"ns-acc","k8s.node.name":"node-x","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"ss-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":400000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}

tests/integration/testdata/inframonitoring/volumes_value_accuracy_expected.json

@@ -0,0 +1,22 @@
+{
+  "records": [
+    {
+      "persistentVolumeClaimName": "acc-pvc-1",
+      "volumeAvailable": 30000000000.0,
+      "volumeCapacity": 100000000000.0,
+      "volumeUsage": 70000000000.0,
+      "volumeInodes": 1000000.0,
+      "volumeInodesFree": 800000.0,
+      "volumeInodesUsed": 200000.0
+    },
+    {
+      "persistentVolumeClaimName": "acc-pvc-2",
+      "volumeAvailable": 80000000000.0,
+      "volumeCapacity": 200000000000.0,
+      "volumeUsage": 120000000000.0,
+      "volumeInodes": 2000000.0,
+      "volumeInodesFree": 1600000.0,
+      "volumeInodesUsed": 400000.0
+    }
+  ]
+}

tests/integration/tests/inframonitoring/01_hosts.py

@@ -0,0 +1,913 @@
+"""Integration tests for v2 infra-monitoring host endpoints."""
+
+import json
+from datetime import UTC, datetime, timedelta
+from http import HTTPStatus
+
+import pytest
+import requests
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.fs import get_testdata_file_path
+from fixtures.metrics import Metrics
+from fixtures.querier import compare_values
+
+ENDPOINT = "/api/v2/infra_monitoring/hosts"
+
+
+def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
+    return requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+
+
+def test_hosts_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed 2 hosts x 4 metrics; assert response shape + counts."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    metrics = Metrics.load_from_file(
+        get_testdata_file_path("inframonitoring/hosts_happy_path.jsonl"),
+        base_time=now - timedelta(minutes=4),
+    )
+    insert_metrics(metrics)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["hostName"] for r in data["records"]} == {"happy-h1", "happy-h2"}
+
+    for record in data["records"]:
+        for field in (
+            "hostName",
+            "status",
+            "cpu",
+            "memory",
+            "wait",
+            "load15",
+            "diskUsage",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+
+def test_hosts_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Assert exact metric values per record against precomputed expected output."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_value_accuracy.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/hosts_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_host = {r["hostName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    for record in data["records"]:
+        exp = exp_by_host[record["hostName"]]
+        for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
+            assert compare_values(record[field], exp[field], 1e-9), f"{record['hostName']}.{field}: got {record[field]}, expected {exp[field]}"
+
+
+def test_hosts_missing_metrics(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed only system.cpu.time; assert other 3 required metrics flagged missing."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_missing_metrics.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == {
+        "system.memory.usage",
+        "system.cpu.load_average.15m",
+        "system.filesystem.usage",
+    }
+    # Endpoint short-circuits when any required metric is missing:
+    # records is empty and total=0 regardless of which hosts have partial data.
+    # See pkg/modules/inframonitoring/implinframonitoring/module.go:84-89.
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+def test_hosts_filter_and(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """AND of two attribute clauses returns the single matching host."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {
+                "expression": "host.name = 'prod-linux-1' AND os.type = 'linux'",
+            },
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["total"] == 1
+    assert {r["hostName"] for r in data["records"]} == {"prod-linux-1"}
+
+
+def test_hosts_filter_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """IN (...) operator returns exactly the listed hosts."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {
+                "expression": "host.name IN ('prod-linux-1', 'prod-windows-1')",
+            },
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["total"] == 2
+    assert {r["hostName"] for r in data["records"]} == {
+        "prod-linux-1",
+        "prod-windows-1",
+    }
+
+
+def test_hosts_filter_not_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """NOT IN (...) returns the complement of the listed hosts."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {
+                "expression": "host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
+            },
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["total"] == 2
+    assert {r["hostName"] for r in data["records"]} == {
+        "dev-linux-1",
+        "dev-windows-1",
+    }
+
+
+def test_hosts_filter_contains(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """CONTAINS 'substr' returns hosts whose attribute contains the substring."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "host.name CONTAINS 'prod-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["total"] == 2
+    assert {r["hostName"] for r in data["records"]} == {
+        "prod-linux-1",
+        "prod-windows-1",
+    }
+
+
+@pytest.mark.parametrize(
+    "expression,expected_hosts",
+    [
+        pytest.param(
+            "os.type = 'linux' AND host.name IN ('prod-linux-1', 'prod-windows-1')",
+            {"prod-linux-1"},
+            id="and_in",
+        ),
+        pytest.param(
+            "os.type = 'linux' AND host.name NOT IN ('prod-linux-1', 'prod-windows-1')",
+            {"dev-linux-1"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "os.type = 'linux' AND host.name CONTAINS 'prod-'",
+            {"prod-linux-1"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "host.name IN ('prod-linux-1', 'prod-windows-1', 'dev-linux-1') AND host.name CONTAINS 'linux'",
+            {"prod-linux-1", "dev-linux-1"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_hosts_filter_combos(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected_hosts: set,
+) -> None:
+    """AND-combined pairs of filter operators return the correct intersection."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert {r["hostName"] for r in data["records"]} == expected_hosts
+    assert data["total"] == len(expected_hosts)
+
+
+def test_hosts_filter_bad_attr_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Filter with a typo'd attribute key — discovery: silent empty vs error."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "host.namee = 'prod-linux-1'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert any("host.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
+
+
+@pytest.mark.parametrize(
+    "expression",
+    [
+        pytest.param("host.name =", id="trailing_op"),
+        pytest.param("(host.name = 'prod-linux-1'", id="unclosed_paren"),
+        # Cases dropped — parser is permissive and accepts these silently:
+        #   `host.name == 'x'` → treated as `=` (matches as if single `=`)
+        #   `host.name 'x'`    → returns 200 with empty records
+        # Tracked as a QB v5 parser gap; not enforced by this test.
+    ],
+)
+def test_hosts_filter_bad_grammar(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+) -> None:
+    """Malformed filter expressions return 400 invalid_input with structured errors."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+
+
+@pytest.mark.parametrize(
+    "status,expected_hosts",
+    [
+        pytest.param("active", {"active-h1"}, id="active"),
+        pytest.param("inactive", {"inactive-h1"}, id="inactive"),
+        pytest.param(None, {"active-h1", "inactive-h1"}, id="unset"),
+    ],
+)
+def test_hosts_filter_by_status(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    status,
+    expected_hosts: set,
+) -> None:
+    """filterByStatus subsets hosts and per-record activeHostCount/inactiveHostCount
+    track each host's status. Omitting filterByStatus returns all hosts.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_status.jsonl"),
+            base_time=now - timedelta(minutes=24),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    body = {
+        "start": int((now - timedelta(minutes=30)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if status is not None:
+        body["filter"] = {"filterByStatus": status}
+
+    response = _post(signoz, token, body)
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+
+    assert {r["hostName"] for r in data["records"]} == expected_hosts
+    assert data["total"] == len(expected_hosts)
+
+    if status is not None:
+        for r in data["records"]:
+            assert r["status"] == status
+
+    for r in data["records"]:
+        if r["status"] == "active":
+            assert r["activeHostCount"] == 1
+            assert r["inactiveHostCount"] == 0
+        else:
+            assert r["status"] == "inactive"
+            assert r["activeHostCount"] == 0
+            assert r["inactiveHostCount"] == 1
+
+
+def test_hosts_groupby_hostname(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Explicit groupBy=[host.name] returns one record per distinct host."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "host.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                },
+            ],
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["total"] == 4
+    assert {r["hostName"] for r in data["records"]} == {
+        "prod-linux-1",
+        "prod-windows-1",
+        "dev-linux-1",
+        "dev-windows-1",
+    }
+    for r in data["records"]:
+        assert r["activeHostCount"] + r["inactiveHostCount"] == 1
+
+
+def test_hosts_groupby_os_type(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[os.type] aggregates active/inactive counts and metric values per os.type."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_groupby_os_type.jsonl"),
+            base_time=now - timedelta(minutes=24),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=30)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "os.type",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                },
+            ],
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["total"] == 2
+
+    by_os = {r["meta"]["os.type"]: r for r in data["records"]}
+    assert set(by_os.keys()) == {"linux", "windows"}
+
+    # Per-group active/inactive counts. Seed had linux: 2 active + 1 inactive,
+    # windows: 1 active + 2 inactive.
+    assert by_os["linux"]["activeHostCount"] == 2
+    assert by_os["linux"]["inactiveHostCount"] == 1
+    assert by_os["windows"]["activeHostCount"] == 1
+    assert by_os["windows"]["inactiveHostCount"] == 2
+
+    # When host.name is NOT in groupBy: per-record hostName is empty.
+    for r in data["records"]:
+        assert r["hostName"] == ""
+
+    # Aggregated metric values per os.type group. Values differ between groups
+    # because active hosts (last sample step-floored out) and inactive hosts
+    # (all 3 samples averaged) contribute slightly different per-host
+    # contributions to the space-aggregated formula.
+    expected = {
+        "linux": {
+            "cpu": 0.3333333333333333,
+            "memory": 0.25892857142857145,
+            "wait": 0,
+            "load15": 2.15,
+            "diskUsage": 0.5071428571428571,
+        },
+        "windows": {
+            "cpu": 0.33333333333333337,
+            "memory": 0.2609375,
+            "wait": 0,
+            "load15": 2.47,
+            "diskUsage": 0.50875,
+        },
+    }
+    for os_type, rec in by_os.items():
+        for field in ("cpu", "memory", "wait", "load15", "diskUsage"):
+            assert compare_values(rec[field], expected[os_type][field], 1e-9), f"{os_type}.{field}: got {rec[field]}, expected {expected[os_type][field]}"
+
+
+def test_hosts_pagination_sync(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Pagination: per-page len matches min(limit, total-offset), total invariant,
+    pages cover the full set with no overlap.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_hosts: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = _post(
+            signoz,
+            token,
+            {
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+            },
+        )
+        assert response.status_code == HTTPStatus.OK
+        data = response.json()["data"]
+        seen_totals.add(data["total"])
+        expected_len = min(limit, K - offset)
+        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len} records, got {len(data['records'])}"
+        seen_hosts.extend(r["hostName"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_hosts) == K
+    assert set(seen_hosts) == {f"page-h{i}" for i in range(1, K + 1)}
+
+
+def test_hosts_offset_beyond_total(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Offset beyond total returns empty records; total still reflects dataset size."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+def test_hosts_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Total stays K across all orderBy column x direction combinations.
+    Hosts have staggered timestamps (simulating real-world emit drift)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    # orderBy keys use snake_case (inframonitoringtypes/hosts_constants.go:26-30).
+    # Note: response uses camelCase (diskUsage) but request uses disk_usage.
+    for column in ("cpu", "memory", "wait", "load15", "disk_usage"):
+        for direction in ("asc", "desc"):
+            response = _post(
+                signoz,
+                token,
+                {
+                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                    "end": int(now.timestamp() * 1000),
+                    "limit": 50,
+                    "orderBy": {
+                        "key": {"name": column},
+                        "direction": direction,
+                    },
+                },
+            )
+            ctx = f"orderBy={column} {direction}"
+            assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+            data = response.json()["data"]
+            assert data["total"] == K, f"{ctx}: total={data['total']}"
+            assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_hosts_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """Records sorted by cpu in the requested direction."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK
+    data = response.json()["data"]
+    cpu_values = [r["cpu"] for r in data["records"]]
+    expected = sorted(cpu_values, reverse=(direction == "desc"))
+    assert cpu_values == expected, f"cpu {direction} not sorted; got {cpu_values}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_hosts_orderby_by_host_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=host.name with empty groupBy returns hosts sorted alphabetically
+    via the metadata-name branch (hosts.go:218-219, PaginateMetadataByName)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/hosts_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "host.name"}, "direction": direction},
+            "filter": {"expression": "host.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["hostName"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"host.name {direction} not sorted; got {names}"
+
+
+@pytest.mark.parametrize(
+    "payload_override,err_substr",
+    [
+        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
+        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
+        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
+        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
+        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
+        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
+        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
+        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
+        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
+        pytest.param(
+            {"filter": {"filterByStatus": "bogus"}},
+            "invalid filter by status",
+            id="filter_by_status_invalid",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_invalid_key",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {"key": {"name": "host.name"}, "direction": "desc"},
+                "groupBy": [
+                    {
+                        "name": "host.name",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_hostname_with_groupby",
+        ),
+    ],
+)
+def test_hosts_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostableHosts.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/hosts.go:53-108."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(signoz, token, body)
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
+
+
+@pytest.mark.parametrize(
+    "auth_state,expected_status",
+    [
+        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
+        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
+    ],
+)
+def test_hosts_auth(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    auth_state: str,
+    expected_status: int,
+) -> None:
+    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    headers: dict = {}
+    if auth_state == "admin":
+        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+        headers["authorization"] = f"Bearer {token}"
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers=headers,
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == expected_status, response.text

tests/integration/tests/inframonitoring/04_namespaces.py

@@ -0,0 +1,825 @@
+"""Integration tests for v2 infra-monitoring namespace endpoints."""
+
+import json
+from datetime import UTC, datetime, timedelta
+from http import HTTPStatus
+
+import pytest
+import requests
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.fs import get_testdata_file_path
+from fixtures.metrics import Metrics
+from fixtures.querier import compare_values
+
+ENDPOINT = "/api/v2/infra_monitoring/namespaces"
+
+# Required metrics for the v2 namespaces endpoint
+# (pkg/modules/inframonitoring/implinframonitoring/namespaces_constants.go:22-26).
+REQUIRED_METRICS = {
+    "k8s.pod.cpu.usage",
+    "k8s.pod.memory.working_set",
+    "k8s.pod.phase",
+}
+
+
+def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
+    return requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+
+
+def test_namespaces_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed 2 namespaces x 3 metrics + 2 pods/ns; assert response shape + counts."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_happy_path.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["namespaceName"] for r in data["records"]} == {"happy-ns-1", "happy-ns-2"}
+
+    for record in data["records"]:
+        for field in (
+            "namespaceName",
+            "namespaceCPU",
+            "namespaceMemory",
+            "podCountsByPhase",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
+            assert bucket in record["podCountsByPhase"]
+            assert isinstance(record["podCountsByPhase"][bucket], int)
+
+        # Each happy-path namespace has 2 running pods.
+        assert record["podCountsByPhase"]["running"] == 2
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert record["podCountsByPhase"][other] == 0
+
+        assert record["meta"].get("k8s.namespace.name") == record["namespaceName"]
+        assert "k8s.cluster.name" in record["meta"]
+
+
+def test_namespaces_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Exact per-namespace metric values + podCountsByPhase.
+
+    Tests v1-parity expectation: SpaceAggregationSum across pods within a
+    namespace (pods_query.go A=cpu, D=memory both use Sum, namespaces.go:225
+    clones PodsTableListQuery; v2 namespaces_constants.go:54,73 use Sum too).
+    Predicted: acc-ns-1 (2 pods @ cpu=0.5,mem=1e8) -> cpu=1.0, mem=2e8;
+    acc-ns-2 (3 pods @ cpu=0.75,mem=2e8) -> cpu=2.25, mem=6e8.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_value_accuracy.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/namespaces_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_name = {r["namespaceName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    for record in data["records"]:
+        exp = exp_by_name[record["namespaceName"]]
+        for field in ("namespaceCPU", "namespaceMemory"):
+            assert compare_values(record[field], exp[field], 1e-6), f"{record['namespaceName']}.{field}: got {record[field]}, expected {exp[field]}"
+        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
+
+
+def test_namespaces_missing_metrics(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed only k8s.pod.cpu.usage; assert other 2 required metrics flagged missing."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_missing_metrics.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.pod.cpu.usage"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+def test_namespaces_filter_and(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """AND of two attribute clauses returns only the matching namespaces."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {
+                "expression": "k8s.cluster.name = 'cluster-a' AND env = 'prod'",
+            },
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["namespaceName"] for r in data["records"]} == {"web-a-prod", "api-a-prod"}
+    assert data["total"] == 2
+
+
+def test_namespaces_filter_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """IN (...) returns exactly the listed namespaces."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {
+                "expression": "k8s.namespace.name IN ('web-a-prod', 'api-b-dev')",
+            },
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["namespaceName"] for r in data["records"]} == {"web-a-prod", "api-b-dev"}
+    assert data["total"] == 2
+
+
+def test_namespaces_filter_not_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """NOT IN excludes a cluster, returns the rest."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.cluster.name NOT IN ('cluster-a')"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["namespaceName"] for r in data["records"]} == {
+        "web-b-prod",
+        "web-b-dev",
+        "api-b-prod",
+        "api-b-dev",
+    }
+
+
+def test_namespaces_filter_contains(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """CONTAINS performs substring match on the attribute value."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.namespace.name CONTAINS 'web'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["namespaceName"] for r in data["records"]} == {
+        "web-a-prod",
+        "web-a-dev",
+        "web-b-prod",
+        "web-b-dev",
+    }
+
+
+@pytest.mark.parametrize(
+    "expression,expected",
+    [
+        pytest.param(
+            "k8s.cluster.name = 'cluster-a' AND k8s.namespace.name IN ('web-a-prod', 'api-a-prod')",
+            {"web-a-prod", "api-a-prod"},
+            id="and_in",
+        ),
+        pytest.param(
+            "k8s.cluster.name = 'cluster-a' AND k8s.namespace.name NOT IN ('web-a-prod', 'web-a-dev')",
+            {"api-a-prod", "api-a-dev"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "env = 'prod' AND k8s.namespace.name CONTAINS 'web'",
+            {"web-a-prod", "web-b-prod"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "k8s.namespace.name IN ('web-a-prod', 'web-b-prod', 'api-a-prod') AND k8s.namespace.name CONTAINS 'web'",
+            {"web-a-prod", "web-b-prod"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_namespaces_filter_combos(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected: set,
+) -> None:
+    """AND-combined pairs of filter operators return the correct intersection."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["namespaceName"] for r in data["records"]} == expected
+    assert data["total"] == len(expected)
+
+
+def test_namespaces_filter_bad_attr_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Filter with a typo'd attribute key returns 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.namespace.namee = 'web-a-prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert any("k8s.namespace.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
+
+
+@pytest.mark.parametrize(
+    "expression",
+    [
+        pytest.param("k8s.namespace.name =", id="trailing_op"),
+        pytest.param("(k8s.namespace.name = 'web-a-prod'", id="unclosed_paren"),
+    ],
+)
+def test_namespaces_filter_bad_grammar(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+) -> None:
+    """Malformed filter expressions return 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+
+
+def test_namespaces_pod_phase_aggregation(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Namespace with mixed pod phases: podCountsByPhase aggregates correctly.
+    Dataset: 4 running + 1 pending + 2 failed pods all in pp-ns."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_pod_phases.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.namespace.name = 'pp-ns'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["namespaceName"] == "pp-ns"
+    assert rec["podCountsByPhase"] == {
+        "pending": 1,
+        "running": 4,
+        "succeeded": 0,
+        "failed": 2,
+        "unknown": 0,
+    }
+
+
+def test_namespaces_groupby_cluster(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Explicit groupBy=[k8s.cluster.name]: 2 records, aggregated counts per cluster,
+    meta surfaces cluster.name. Each cluster has 2 namespaces with 1 running pod each."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_groupby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.cluster.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+
+    clusters_seen = set()
+    for rec in data["records"]:
+        # Per-row namespace identity is cleared; only the groupBy field surfaces.
+        assert rec["namespaceName"] == ""
+        # Each cluster has 2 namespaces x 1 pod = 2 running pods.
+        assert rec["podCountsByPhase"]["running"] == 2
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert rec["podCountsByPhase"][other] == 0
+        assert "k8s.cluster.name" in rec["meta"], rec["meta"]
+        clusters_seen.add(rec["meta"]["k8s.cluster.name"])
+    assert clusters_seen == {"gb-cluster-a", "gb-cluster-b"}
+
+
+def test_namespaces_pagination_sync(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Pagination invariants across 3 offset windows."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_names: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = _post(
+            signoz,
+            token,
+            {
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+            },
+        )
+        assert response.status_code == HTTPStatus.OK, response.text
+        data = response.json()["data"]
+        seen_totals.add(data["total"])
+        expected_len = min(limit, K - offset)
+        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
+        seen_names.extend(r["namespaceName"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_names) == K
+    assert set(seen_names) == {f"page-ns-{i}" for i in range(1, K + 1)}
+
+
+def test_namespaces_offset_beyond_total(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Offset beyond total returns empty records; total still reflects dataset size."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+def test_namespaces_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Total stays K across all orderBy column x direction combinations."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    # orderBy keys per namespaces_constants.go (cpu, memory only).
+    for column in ("cpu", "memory"):
+        for direction in ("asc", "desc"):
+            response = _post(
+                signoz,
+                token,
+                {
+                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                    "end": int(now.timestamp() * 1000),
+                    "limit": 50,
+                    "orderBy": {"key": {"name": column}, "direction": direction},
+                },
+            )
+            ctx = f"orderBy={column} {direction}"
+            assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+            data = response.json()["data"]
+            assert data["total"] == K, f"{ctx}: total={data['total']}"
+            assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_namespaces_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """Records sorted by namespaceCPU in the requested direction."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "cpu"}, "direction": direction},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    cpu_values = [r["namespaceCPU"] for r in data["records"]]
+    expected = sorted(cpu_values, reverse=(direction == "desc"))
+    assert cpu_values == expected, f"cpu {direction} not sorted; got {cpu_values}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_namespaces_orderby_by_namespace_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=k8s.namespace.name with empty groupBy returns namespaces sorted
+    alphabetically via the metadata-name branch (PaginateMetadataByName)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/namespaces_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.namespace.name"}, "direction": direction},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["namespaceName"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"namespace.name {direction} not sorted; got {names}"
+
+
+@pytest.mark.parametrize(
+    "payload_override,err_substr",
+    [
+        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
+        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
+        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
+        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
+        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
+        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
+        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
+        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
+        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
+        pytest.param(
+            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_invalid_key",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {"key": {"name": "k8s.namespace.name"}, "direction": "desc"},
+                "groupBy": [
+                    {
+                        "name": "k8s.cluster.name",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_nsname_with_groupby",
+        ),
+    ],
+)
+def test_namespaces_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostableNamespaces.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/namespaces.go:40-91."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(signoz, token, body)
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
+
+
+@pytest.mark.parametrize(
+    "auth_state,expected_status",
+    [
+        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
+        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
+    ],
+)
+def test_namespaces_auth(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    auth_state: str,
+    expected_status: int,
+) -> None:
+    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    headers: dict = {}
+    if auth_state == "admin":
+        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+        headers["authorization"] = f"Bearer {token}"
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers=headers,
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == expected_status, response.text

tests/integration/tests/inframonitoring/05_clusters.py

@@ -0,0 +1,890 @@
+"""Integration tests for v2 infra-monitoring cluster endpoints."""
+
+import json
+from datetime import UTC, datetime, timedelta
+from http import HTTPStatus
+
+import pytest
+import requests
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.fs import get_testdata_file_path
+from fixtures.metrics import Metrics
+from fixtures.querier import compare_values
+
+ENDPOINT = "/api/v2/infra_monitoring/clusters"
+
+# Required metrics for the v2 clusters endpoint
+# (pkg/modules/inframonitoring/implinframonitoring/clusters_constants.go:23-30).
+REQUIRED_METRICS = {
+    "k8s.node.cpu.usage",
+    "k8s.node.allocatable_cpu",
+    "k8s.node.memory.working_set",
+    "k8s.node.allocatable_memory",
+    "k8s.node.condition_ready",
+    "k8s.pod.phase",
+}
+
+
+def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
+    return requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+
+
+def test_clusters_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """2 clusters x 2 nodes x 2 pods/node; assert shape + node/pod count buckets."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_happy_path.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["clusterName"] for r in data["records"]} == {"happy-cluster-1", "happy-cluster-2"}
+
+    for record in data["records"]:
+        for field in (
+            "clusterName",
+            "clusterCPU",
+            "clusterCPUAllocatable",
+            "clusterMemory",
+            "clusterMemoryAllocatable",
+            "nodeCountsByReadiness",
+            "podCountsByPhase",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+        for bucket in ("ready", "notReady"):
+            assert bucket in record["nodeCountsByReadiness"]
+            assert isinstance(record["nodeCountsByReadiness"][bucket], int)
+        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
+            assert bucket in record["podCountsByPhase"]
+            assert isinstance(record["podCountsByPhase"][bucket], int)
+
+        # 2 ready nodes per cluster, no notReady.
+        assert record["nodeCountsByReadiness"] == {"ready": 2, "notReady": 0}
+        # 2 nodes x 2 running pods = 4 per cluster.
+        assert record["podCountsByPhase"]["running"] == 4
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert record["podCountsByPhase"][other] == 0
+
+        assert record["meta"].get("k8s.cluster.name") == record["clusterName"]
+
+
+def test_clusters_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Exact per-cluster metric sums + node readiness + pod phase counts.
+
+    SpaceAggregationSum across nodes per cluster (clusters_constants.go:62,82,100,119).
+    acc-cluster-1: 2 nodes @ cpu=0.5, alloc_cpu=4, mem=1e9, alloc_mem=8e9
+        -> clusterCPU=1.0, clusterCPUAllocatable=8.0, clusterMemory=2e9, clusterMemoryAllocatable=16e9
+    acc-cluster-2: 3 nodes @ cpu=1.0, alloc_cpu=8, mem=2e9, alloc_mem=16e9
+        -> clusterCPU=3.0, clusterCPUAllocatable=24.0, clusterMemory=6e9, clusterMemoryAllocatable=48e9
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_value_accuracy.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/clusters_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_name = {r["clusterName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    for record in data["records"]:
+        exp = exp_by_name[record["clusterName"]]
+        for field in (
+            "clusterCPU",
+            "clusterCPUAllocatable",
+            "clusterMemory",
+            "clusterMemoryAllocatable",
+        ):
+            assert compare_values(record[field], exp[field], 1e-6), f"{record['clusterName']}.{field}: got {record[field]}, expected {exp[field]}"
+        assert record["nodeCountsByReadiness"] == exp["nodeCountsByReadiness"]
+        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
+
+
+def test_clusters_missing_metrics(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed only k8s.node.cpu.usage; assert other 5 required metrics flagged missing."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_missing_metrics.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.node.cpu.usage"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+def test_clusters_filter_and(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """AND of two attribute clauses returns only the matching clusters."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "cloud.provider = 'gcp' AND env = 'prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["clusterName"] for r in data["records"]} == {"web-gcp-prod", "api-gcp-prod"}
+    assert data["total"] == 2
+
+
+def test_clusters_filter_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """IN (...) returns exactly the listed clusters."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.cluster.name IN ('web-gcp-prod', 'api-aws-dev')"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["clusterName"] for r in data["records"]} == {"web-gcp-prod", "api-aws-dev"}
+    assert data["total"] == 2
+
+
+def test_clusters_filter_not_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """NOT IN on the partition key returns the rest.
+    NOT IN on a non-partition label (e.g. cloud.provider) is unreliable — likely
+    a QB v5 label-extraction gap; covered indirectly via the and_not_in combo."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": ("k8s.cluster.name NOT IN ('web-gcp-prod', 'web-gcp-dev', 'api-gcp-prod', 'api-gcp-dev')")},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["clusterName"] for r in data["records"]} == {
+        "web-aws-prod",
+        "web-aws-dev",
+        "api-aws-prod",
+        "api-aws-dev",
+    }
+
+
+def test_clusters_filter_contains(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """CONTAINS performs substring match on the attribute value."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.cluster.name CONTAINS 'web'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["clusterName"] for r in data["records"]} == {
+        "web-gcp-prod",
+        "web-gcp-dev",
+        "web-aws-prod",
+        "web-aws-dev",
+    }
+
+
+@pytest.mark.parametrize(
+    "expression,expected",
+    [
+        pytest.param(
+            "cloud.provider = 'gcp' AND k8s.cluster.name IN ('web-gcp-prod', 'api-gcp-prod')",
+            {"web-gcp-prod", "api-gcp-prod"},
+            id="and_in",
+        ),
+        pytest.param(
+            "cloud.provider = 'gcp' AND k8s.cluster.name NOT IN ('web-gcp-prod', 'web-gcp-dev')",
+            {"api-gcp-prod", "api-gcp-dev"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "env = 'prod' AND k8s.cluster.name CONTAINS 'web'",
+            {"web-gcp-prod", "web-aws-prod"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "k8s.cluster.name IN ('web-gcp-prod', 'web-aws-prod', 'api-gcp-prod') AND k8s.cluster.name CONTAINS 'web'",
+            {"web-gcp-prod", "web-aws-prod"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_clusters_filter_combos(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected: set,
+) -> None:
+    """AND-combined pairs of filter operators return the correct intersection."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["clusterName"] for r in data["records"]} == expected
+    assert data["total"] == len(expected)
+
+
+def test_clusters_filter_bad_attr_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Filter with a typo'd attribute key returns 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.cluster.namee = 'web-gcp-prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert any("k8s.cluster.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
+
+
+@pytest.mark.parametrize(
+    "expression",
+    [
+        pytest.param("k8s.cluster.name =", id="trailing_op"),
+        pytest.param("(k8s.cluster.name = 'web-gcp-prod'", id="unclosed_paren"),
+    ],
+)
+def test_clusters_filter_bad_grammar(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+) -> None:
+    """Malformed filter expressions return 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+
+
+def test_clusters_node_readiness_aggregation(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Cluster with mixed node readiness: 3 ready + 2 not_ready -> {ready:3, notReady:2}."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_node_readiness.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.cluster.name = 'rn-cluster'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["clusterName"] == "rn-cluster"
+    assert rec["nodeCountsByReadiness"] == {"ready": 3, "notReady": 2}
+
+
+def test_clusters_pod_phase_aggregation(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Cluster with mixed pod phases: 4 running + 1 pending + 2 failed."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_pod_phases.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.cluster.name = 'pp-cluster'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["clusterName"] == "pp-cluster"
+    assert rec["podCountsByPhase"] == {
+        "pending": 1,
+        "running": 4,
+        "succeeded": 0,
+        "failed": 2,
+        "unknown": 0,
+    }
+
+
+def test_clusters_groupby_cloud_provider(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[cloud.provider]: 2 records (one per provider), aggregated counts,
+    meta surfaces cloud.provider. Each provider has 2 clusters x 1 node x 1 pod."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_groupby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "cloud.provider",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+
+    providers_seen = set()
+    for rec in data["records"]:
+        # Per-row cluster identity is cleared; only the groupBy field surfaces.
+        assert rec["clusterName"] == ""
+        # Each provider has 2 clusters x 1 ready node -> {ready:2, notReady:0}
+        assert rec["nodeCountsByReadiness"] == {"ready": 2, "notReady": 0}
+        # 2 clusters x 1 running pod = 2 running.
+        assert rec["podCountsByPhase"]["running"] == 2
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert rec["podCountsByPhase"][other] == 0
+        assert "cloud.provider" in rec["meta"], rec["meta"]
+        providers_seen.add(rec["meta"]["cloud.provider"])
+    assert providers_seen == {"gcp", "aws"}
+
+
+def test_clusters_pagination_sync(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Pagination invariants across 3 offset windows."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_names: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = _post(
+            signoz,
+            token,
+            {
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+                "filter": {"expression": "k8s.cluster.name CONTAINS 'page-'"},
+            },
+        )
+        assert response.status_code == HTTPStatus.OK, response.text
+        data = response.json()["data"]
+        seen_totals.add(data["total"])
+        expected_len = min(limit, K - offset)
+        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
+        seen_names.extend(r["clusterName"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_names) == K
+    assert set(seen_names) == {f"page-c{i}" for i in range(1, K + 1)}
+
+
+def test_clusters_offset_beyond_total(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Offset beyond total returns empty records; total still reflects dataset size."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+            "filter": {"expression": "k8s.cluster.name CONTAINS 'page-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+def test_clusters_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Total stays K across all 4 orderBy metric columns x 2 directions = 8 calls."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    # orderBy keys per clusters_constants.go (cpu, cpu_allocatable, memory, memory_allocatable).
+    for column in ("cpu", "cpu_allocatable", "memory", "memory_allocatable"):
+        for direction in ("asc", "desc"):
+            response = _post(
+                signoz,
+                token,
+                {
+                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                    "end": int(now.timestamp() * 1000),
+                    "limit": 50,
+                    "orderBy": {"key": {"name": column}, "direction": direction},
+                    "filter": {"expression": "k8s.cluster.name CONTAINS 'order-'"},
+                },
+            )
+            ctx = f"orderBy={column} {direction}"
+            assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+            data = response.json()["data"]
+            assert data["total"] == K, f"{ctx}: total={data['total']}"
+            assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize(
+    "column,record_field",
+    [
+        pytest.param("cpu", "clusterCPU", id="cpu"),
+        pytest.param("cpu_allocatable", "clusterCPUAllocatable", id="cpu_allocatable"),
+        pytest.param("memory", "clusterMemory", id="memory"),
+        pytest.param("memory_allocatable", "clusterMemoryAllocatable", id="memory_allocatable"),
+    ],
+)
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_clusters_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    record_field: str,
+    direction: str,
+) -> None:
+    """Records sorted by the chosen metric column in the requested direction."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": column}, "direction": direction},
+            "filter": {"expression": "k8s.cluster.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    values = [r[record_field] for r in data["records"]]
+    expected = sorted(values, reverse=(direction == "desc"))
+    assert values == expected, f"{column} {direction} not sorted; got {values}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_clusters_orderby_by_cluster_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=k8s.cluster.name with empty groupBy returns clusters sorted
+    alphabetically via the metadata-name branch (PaginateMetadataByName)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/clusters_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.cluster.name"}, "direction": direction},
+            "filter": {"expression": "k8s.cluster.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["clusterName"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"cluster.name {direction} not sorted; got {names}"
+
+
+@pytest.mark.parametrize(
+    "payload_override,err_substr",
+    [
+        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
+        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
+        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
+        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
+        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
+        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
+        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
+        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
+        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
+        pytest.param(
+            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_invalid_key",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {"key": {"name": "k8s.cluster.name"}, "direction": "desc"},
+                "groupBy": [
+                    {
+                        "name": "cloud.provider",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_clustername_with_groupby",
+        ),
+    ],
+)
+def test_clusters_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostableClusters.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/clusters.go:45-97."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(signoz, token, body)
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
+
+
+@pytest.mark.parametrize(
+    "auth_state,expected_status",
+    [
+        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
+        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
+    ],
+)
+def test_clusters_auth(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    auth_state: str,
+    expected_status: int,
+) -> None:
+    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    headers: dict = {}
+    if auth_state == "admin":
+        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+        headers["authorization"] = f"Bearer {token}"
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers=headers,
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == expected_status, response.text

tests/integration/tests/inframonitoring/06_volumes.py

@@ -0,0 +1,882 @@
+"""Integration tests for v2 infra-monitoring volumes (pvcs) endpoints."""
+
+import json
+from datetime import UTC, datetime, timedelta
+from http import HTTPStatus
+
+import pytest
+import requests
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.fs import get_testdata_file_path
+from fixtures.metrics import Metrics
+from fixtures.querier import compare_values
+
+ENDPOINT = "/api/v2/infra_monitoring/pvcs"
+
+# Required metrics for the v2 volumes endpoint
+# (pkg/modules/inframonitoring/implinframonitoring/volumes_constants.go:20-27).
+REQUIRED_METRICS = {
+    "k8s.volume.available",
+    "k8s.volume.capacity",
+    "k8s.volume.inodes",
+    "k8s.volume.inodes.free",
+    "k8s.volume.inodes.used",
+}
+
+
+def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
+    return requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+
+
+def test_volumes_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """2 PVCs in 1 namespace; assert shape, 7 record fields, formula spot check, meta."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_happy_path.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["persistentVolumeClaimName"] for r in data["records"]} == {"happy-pvc-1", "happy-pvc-2"}
+
+    for record in data["records"]:
+        for field in (
+            "persistentVolumeClaimName",
+            "volumeAvailable",
+            "volumeCapacity",
+            "volumeUsage",
+            "volumeInodes",
+            "volumeInodesFree",
+            "volumeInodesUsed",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+        # Spot check formula: usage == capacity - available.
+        assert compare_values(record["volumeUsage"], record["volumeCapacity"] - record["volumeAvailable"], 1e-6), f"usage formula failed: {record!r}"
+
+        # Meta carries the 7 hardcoded attrs (volumes_constants.go:31-39).
+        meta = record["meta"]
+        assert meta.get("k8s.persistentvolumeclaim.name") == record["persistentVolumeClaimName"]
+        for key in (
+            "k8s.pod.uid",
+            "k8s.pod.name",
+            "k8s.namespace.name",
+            "k8s.node.name",
+            "k8s.cluster.name",
+            "k8s.statefulset.name",
+        ):
+            assert key in meta, f"missing meta key {key!r} in {meta!r}"
+
+
+def test_volumes_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Exact per-PVC metric values + formula verification.
+
+    TimeAggregationAvg + SpaceAggregationSum across pod-mounts.
+    With 1 pod per PVC, expected values == seeded values.
+    Usage = capacity - available (F1, volumes_constants.go:54-189).
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_value_accuracy.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/volumes_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_name = {r["persistentVolumeClaimName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    for record in data["records"]:
+        exp = exp_by_name[record["persistentVolumeClaimName"]]
+        for field in (
+            "volumeAvailable",
+            "volumeCapacity",
+            "volumeUsage",
+            "volumeInodes",
+            "volumeInodesFree",
+            "volumeInodesUsed",
+        ):
+            assert compare_values(record[field], exp[field], 1e-6), f"{record['persistentVolumeClaimName']}.{field}: got {record[field]}, expected {exp[field]}"
+
+
+def test_volumes_missing_metrics(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed only k8s.volume.available; other 4 required metrics flagged missing."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_missing_metrics.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.volume.available"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+def test_volumes_filter_and(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """AND of two attribute clauses returns only the matching PVCs."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.namespace.name = 'ns-a' AND env = 'prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["persistentVolumeClaimName"] for r in data["records"]} == {"data-ns-a-prod", "logs-ns-a-prod"}
+    assert data["total"] == 2
+
+
+def test_volumes_filter_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """IN (...) returns exactly the listed PVCs."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.persistentvolumeclaim.name IN ('data-ns-a-prod', 'logs-ns-b-dev')"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["persistentVolumeClaimName"] for r in data["records"]} == {"data-ns-a-prod", "logs-ns-b-dev"}
+    assert data["total"] == 2
+
+
+def test_volumes_filter_not_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """NOT IN on the partition key returns the rest.
+    NOT IN on non-partition labels is unreliable in QB v5 (see clusters test);
+    use partition key here, combo path covers NOT IN with non-partition labels."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": ("k8s.persistentvolumeclaim.name NOT IN ('data-ns-a-prod', 'data-ns-a-dev', 'data-ns-b-prod', 'data-ns-b-dev')")},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["persistentVolumeClaimName"] for r in data["records"]} == {
+        "logs-ns-a-prod",
+        "logs-ns-a-dev",
+        "logs-ns-b-prod",
+        "logs-ns-b-dev",
+    }
+
+
+def test_volumes_filter_contains(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """CONTAINS performs substring match on the attribute value."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.persistentvolumeclaim.name CONTAINS 'data'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["persistentVolumeClaimName"] for r in data["records"]} == {
+        "data-ns-a-prod",
+        "data-ns-a-dev",
+        "data-ns-b-prod",
+        "data-ns-b-dev",
+    }
+
+
+@pytest.mark.parametrize(
+    "expression,expected",
+    [
+        pytest.param(
+            "k8s.namespace.name = 'ns-a' AND k8s.persistentvolumeclaim.name IN ('data-ns-a-prod', 'logs-ns-a-prod')",
+            {"data-ns-a-prod", "logs-ns-a-prod"},
+            id="and_in",
+        ),
+        pytest.param(
+            "k8s.namespace.name = 'ns-a' AND k8s.persistentvolumeclaim.name NOT IN ('data-ns-a-prod', 'data-ns-a-dev')",
+            {"logs-ns-a-prod", "logs-ns-a-dev"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "env = 'prod' AND k8s.persistentvolumeclaim.name CONTAINS 'data'",
+            {"data-ns-a-prod", "data-ns-b-prod"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "k8s.persistentvolumeclaim.name IN ('data-ns-a-prod', 'logs-ns-a-prod', 'data-ns-b-prod') AND k8s.persistentvolumeclaim.name CONTAINS 'data'",
+            {"data-ns-a-prod", "data-ns-b-prod"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_volumes_filter_combos(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected: set,
+) -> None:
+    """AND-combined pairs of filter operators return the correct intersection."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["persistentVolumeClaimName"] for r in data["records"]} == expected
+    assert data["total"] == len(expected)
+
+
+def test_volumes_filter_bad_attr_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Filter with a typo'd attribute key returns 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.persistentvolumeclaim.namee = 'data-ns-a-prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert any("k8s.persistentvolumeclaim.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
+
+
+@pytest.mark.parametrize(
+    "expression",
+    [
+        pytest.param("k8s.persistentvolumeclaim.name =", id="trailing_op"),
+        pytest.param("(k8s.persistentvolumeclaim.name = 'data-ns-a-prod'", id="unclosed_paren"),
+    ],
+)
+def test_volumes_filter_bad_grammar(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+) -> None:
+    """Malformed filter expressions return 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+
+
+def test_volumes_usage_formula(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """volumeUsage = capacity - available (F1, volumes_constants.go:54-189).
+    capacity=100GB, available=30GB -> volumeUsage=70GB."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_usage_formula.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.persistentvolumeclaim.name = 'uf-pvc'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["persistentVolumeClaimName"] == "uf-pvc"
+    assert compare_values(rec["volumeCapacity"], 100.0e9, 1e-6)
+    assert compare_values(rec["volumeAvailable"], 30.0e9, 1e-6)
+    assert compare_values(rec["volumeUsage"], 70.0e9, 1e-6)
+
+
+def test_volumes_non_pvc_volume_filtered(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Volumes with empty k8s.persistentvolumeclaim.name (emptyDir/configMap/etc.)
+    are silently dropped by volumesBaseFilterExpr (volumes_constants.go:57-63).
+    Dataset has 1 real PVC + 1 empty-pvc row; only the real PVC should appear."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_non_pvc_volume.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["persistentVolumeClaimName"] == "np-real-pvc"
+
+
+def test_volumes_groupby_namespace(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[k8s.namespace.name]: 2 records, aggregated metrics per namespace,
+    persistentVolumeClaimName cleared, meta surfaces k8s.namespace.name."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_groupby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.namespace.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+
+    namespaces_seen = set()
+    for rec in data["records"]:
+        # Per-row PVC identity is cleared; only the groupBy field surfaces.
+        assert rec["persistentVolumeClaimName"] == ""
+        assert "k8s.namespace.name" in rec["meta"], rec["meta"]
+        namespaces_seen.add(rec["meta"]["k8s.namespace.name"])
+    assert namespaces_seen == {"gb-ns-a", "gb-ns-b"}
+
+
+def test_volumes_pagination_sync(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Pagination invariants across 3 offset windows."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_names: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = _post(
+            signoz,
+            token,
+            {
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+                "filter": {"expression": "k8s.persistentvolumeclaim.name CONTAINS 'page-'"},
+            },
+        )
+        assert response.status_code == HTTPStatus.OK, response.text
+        data = response.json()["data"]
+        seen_totals.add(data["total"])
+        expected_len = min(limit, K - offset)
+        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
+        seen_names.extend(r["persistentVolumeClaimName"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_names) == K
+    assert set(seen_names) == {f"page-pvc-{i}" for i in range(1, K + 1)}
+
+
+def test_volumes_offset_beyond_total(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Offset beyond total returns empty records; total still reflects dataset size."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+            "filter": {"expression": "k8s.persistentvolumeclaim.name CONTAINS 'page-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+def test_volumes_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Total stays K across all 6 orderBy metric columns x 2 directions = 12 calls."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    # orderBy keys per volumes_constants.go (6 metric columns).
+    for column in ("available", "capacity", "usage", "inodes", "inodes_free", "inodes_used"):
+        for direction in ("asc", "desc"):
+            response = _post(
+                signoz,
+                token,
+                {
+                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                    "end": int(now.timestamp() * 1000),
+                    "limit": 50,
+                    "orderBy": {"key": {"name": column}, "direction": direction},
+                    "filter": {"expression": "k8s.persistentvolumeclaim.name CONTAINS 'order-'"},
+                },
+            )
+            ctx = f"orderBy={column} {direction}"
+            assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+            data = response.json()["data"]
+            assert data["total"] == K, f"{ctx}: total={data['total']}"
+            assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize(
+    "column,record_field",
+    [
+        pytest.param("available", "volumeAvailable", id="available"),
+        pytest.param("capacity", "volumeCapacity", id="capacity"),
+        pytest.param("usage", "volumeUsage", id="usage"),
+        pytest.param("inodes", "volumeInodes", id="inodes"),
+        pytest.param("inodes_free", "volumeInodesFree", id="inodes_free"),
+        pytest.param("inodes_used", "volumeInodesUsed", id="inodes_used"),
+    ],
+)
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_volumes_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    record_field: str,
+    direction: str,
+) -> None:
+    """Records sorted by the chosen metric column in the requested direction.
+    The 'usage' orderBy exercises the F1 ranking-dependency path
+    (volumes_constants.go:41-52: usage needs A, B, F1)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": column}, "direction": direction},
+            "filter": {"expression": "k8s.persistentvolumeclaim.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    values = [r[record_field] for r in data["records"]]
+    expected = sorted(values, reverse=(direction == "desc"))
+    assert values == expected, f"{column} {direction} not sorted; got {values}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_volumes_orderby_by_pvc_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=k8s.persistentvolumeclaim.name with empty groupBy returns PVCs
+    sorted alphabetically via the metadata-name branch (PaginateMetadataByName)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/volumes_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.persistentvolumeclaim.name"}, "direction": direction},
+            "filter": {"expression": "k8s.persistentvolumeclaim.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["persistentVolumeClaimName"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"pvc.name {direction} not sorted; got {names}"
+
+
+@pytest.mark.parametrize(
+    "payload_override,err_substr",
+    [
+        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
+        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
+        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
+        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
+        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
+        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
+        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
+        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
+        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
+        pytest.param(
+            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_invalid_key",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "available"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {"key": {"name": "k8s.persistentvolumeclaim.name"}, "direction": "desc"},
+                "groupBy": [
+                    {
+                        "name": "k8s.namespace.name",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_pvcname_with_groupby",
+        ),
+    ],
+)
+def test_volumes_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostableVolumes.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/volumes.go:43-94."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(signoz, token, body)
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
+
+
+@pytest.mark.parametrize(
+    "auth_state,expected_status",
+    [
+        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
+        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
+    ],
+)
+def test_volumes_auth(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    auth_state: str,
+    expected_status: int,
+) -> None:
+    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    headers: dict = {}
+    if auth_state == "admin":
+        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+        headers["authorization"] = f"Bearer {token}"
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers=headers,
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == expected_status, response.text

tests/integration/tests/inframonitoring/07_deployments.py

@@ -0,0 +1,953 @@
+"""Integration tests for v2 infra-monitoring deployments endpoint."""
+
+import json
+from datetime import UTC, datetime, timedelta
+from http import HTTPStatus
+
+import pytest
+import requests
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.fs import get_testdata_file_path
+from fixtures.metrics import Metrics
+from fixtures.querier import compare_values
+
+ENDPOINT = "/api/v2/infra_monitoring/deployments"
+
+# Required metrics for the v2 deployments endpoint
+# (pkg/modules/inframonitoring/implinframonitoring/deployments_constants.go:24-34).
+REQUIRED_METRICS = {
+    "k8s.pod.phase",
+    "k8s.pod.cpu.usage",
+    "k8s.pod.cpu_request_utilization",
+    "k8s.pod.cpu_limit_utilization",
+    "k8s.pod.memory.working_set",
+    "k8s.pod.memory_request_utilization",
+    "k8s.pod.memory_limit_utilization",
+    "k8s.deployment.desired",
+    "k8s.deployment.available",
+}
+
+
+def _post(signoz: types.SigNoz, token: str, body: dict) -> requests.Response:
+    return requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers={"authorization": f"Bearer {token}"},
+        json=body,
+        timeout=5,
+    )
+
+
+def test_deployments_happy_path(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """2 deployments x 2 pods/deployment, all Running; assert response shape + counts."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_happy_path.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert data["total"] == 2
+    assert len(data["records"]) == 2
+    assert data["requiredMetricsCheck"]["missingMetrics"] == []
+    assert data["endTimeBeforeRetention"] is False
+
+    assert {r["deploymentName"] for r in data["records"]} == {"happy-dep-1", "happy-dep-2"}
+
+    for record in data["records"]:
+        for field in (
+            "deploymentName",
+            "deploymentCPU",
+            "deploymentCPURequest",
+            "deploymentCPULimit",
+            "deploymentMemory",
+            "deploymentMemoryRequest",
+            "deploymentMemoryLimit",
+            "desiredPods",
+            "availablePods",
+            "podCountsByPhase",
+            "meta",
+        ):
+            assert field in record, f"missing {field} in {record!r}"
+
+        # ints (not floats) for replica counts.
+        assert isinstance(record["desiredPods"], int)
+        assert isinstance(record["availablePods"], int)
+        assert record["desiredPods"] == 2
+        assert record["availablePods"] == 2
+
+        for bucket in ("pending", "running", "succeeded", "failed", "unknown"):
+            assert bucket in record["podCountsByPhase"]
+            assert isinstance(record["podCountsByPhase"][bucket], int)
+
+        # Each happy-path deployment has 2 Running pods.
+        assert record["podCountsByPhase"]["running"] == 2
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert record["podCountsByPhase"][other] == 0
+
+        assert record["meta"].get("k8s.deployment.name") == record["deploymentName"]
+        assert "k8s.namespace.name" in record["meta"]
+        assert "k8s.cluster.name" in record["meta"]
+
+
+def test_deployments_value_accuracy(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Exact per-deployment metric values + replica counts + phase counts.
+
+    Locks in Sum vs Avg split across pod-level metrics
+    (deployments_constants.go:79-198): A/D = SpaceAggregationSum across pods;
+    B/C/E/F = SpaceAggregationAvg. Replica counts (H/I) are latest-summed.
+    """
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_value_accuracy.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    with open(
+        get_testdata_file_path("inframonitoring/deployments_value_accuracy_expected.json"),
+        encoding="utf-8",
+    ) as f:
+        expected = json.load(f)
+    exp_by_name = {r["deploymentName"]: r for r in expected["records"]}
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert len(data["records"]) == len(expected["records"])
+
+    for record in data["records"]:
+        exp = exp_by_name[record["deploymentName"]]
+        for field in (
+            "deploymentCPU",
+            "deploymentCPURequest",
+            "deploymentCPULimit",
+            "deploymentMemory",
+            "deploymentMemoryRequest",
+            "deploymentMemoryLimit",
+        ):
+            assert compare_values(record[field], exp[field], 1e-6), f"{record['deploymentName']}.{field}: got {record[field]}, expected {exp[field]}"
+        assert record["desiredPods"] == exp["desiredPods"]
+        assert record["availablePods"] == exp["availablePods"]
+        assert record["podCountsByPhase"] == exp["podCountsByPhase"]
+
+
+def test_deployments_missing_metrics(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Seed only k8s.pod.cpu.usage; assert other 8 required metrics flagged missing."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_missing_metrics.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+
+    assert set(data["requiredMetricsCheck"]["missingMetrics"]) == (REQUIRED_METRICS - {"k8s.pod.cpu.usage"})
+    assert data["records"] == []
+    assert data["total"] == 0
+
+
+def test_deployments_filter_and(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """AND of two attribute clauses returns only the matching deployments."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.namespace.name = 'ns-a' AND env = 'prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["deploymentName"] for r in data["records"]} == {"web-a-prod", "api-a-prod"}
+    assert data["total"] == 2
+
+
+def test_deployments_filter_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """IN (...) returns exactly the listed deployments."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.deployment.name IN ('web-a-prod', 'api-b-dev')"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["deploymentName"] for r in data["records"]} == {"web-a-prod", "api-b-dev"}
+    assert data["total"] == 2
+
+
+def test_deployments_filter_not_in(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """NOT IN on the partition key (k8s.deployment.name) returns the rest.
+    NOT IN on non-partition labels is unreliable in QB v5 — covered indirectly
+    via the and_not_in combo. Same workaround as clusters/volumes."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.deployment.name NOT IN ('web-a-prod', 'web-a-dev', 'api-a-prod', 'api-a-dev')"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["deploymentName"] for r in data["records"]} == {
+        "web-b-prod",
+        "web-b-dev",
+        "api-b-prod",
+        "api-b-dev",
+    }
+
+
+def test_deployments_filter_contains(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """CONTAINS performs substring match on the attribute value."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.deployment.name CONTAINS 'web'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["deploymentName"] for r in data["records"]} == {
+        "web-a-prod",
+        "web-a-dev",
+        "web-b-prod",
+        "web-b-dev",
+    }
+
+
+@pytest.mark.parametrize(
+    "expression,expected",
+    [
+        pytest.param(
+            "k8s.namespace.name = 'ns-a' AND k8s.deployment.name IN ('web-a-prod', 'api-a-prod')",
+            {"web-a-prod", "api-a-prod"},
+            id="and_in",
+        ),
+        pytest.param(
+            "k8s.namespace.name = 'ns-a' AND k8s.deployment.name NOT IN ('web-a-prod', 'web-a-dev')",
+            {"api-a-prod", "api-a-dev"},
+            id="and_not_in",
+        ),
+        pytest.param(
+            "env = 'prod' AND k8s.deployment.name CONTAINS 'web'",
+            {"web-a-prod", "web-b-prod"},
+            id="and_contains",
+        ),
+        pytest.param(
+            "k8s.deployment.name IN ('web-a-prod', 'web-b-prod', 'api-a-prod') AND k8s.deployment.name CONTAINS 'web'",
+            {"web-a-prod", "web-b-prod"},
+            id="in_contains",
+        ),
+    ],
+)
+def test_deployments_filter_combos(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+    expected: set,
+) -> None:
+    """AND-combined pairs of filter operators return the correct intersection."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert {r["deploymentName"] for r in data["records"]} == expected
+    assert data["total"] == len(expected)
+
+
+def test_deployments_filter_bad_attr_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Filter with a typo'd attribute key returns 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.deployment.namee = 'web-a-prod'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert any("k8s.deployment.namee" in e["message"] for e in body["error"]["errors"]), f"bad attr name not surfaced: {body['error']['errors']!r}"
+
+
+@pytest.mark.parametrize(
+    "expression",
+    [
+        pytest.param("k8s.deployment.name =", id="trailing_op"),
+        pytest.param("(k8s.deployment.name = 'web-a-prod'", id="unclosed_paren"),
+    ],
+)
+def test_deployments_filter_bad_grammar(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    expression: str,
+) -> None:
+    """Malformed filter expressions return 400 invalid_input."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_filter_dataset.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": expression},
+        },
+    )
+    assert response.status_code == HTTPStatus.BAD_REQUEST, f"expected 400, got {response.status_code}: {response.text}"
+    body = response.json()
+    assert body["status"] == "error"
+    assert body["error"]["code"] == "invalid_input"
+    assert len(body["error"]["errors"]) > 0
+
+
+def test_deployments_pod_phase_aggregation(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Deployment with mixed pod phases: 4 Running + 1 Pending + 2 Failed."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_pod_phases.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.deployment.name = 'pp-dep'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["deploymentName"] == "pp-dep"
+    assert rec["podCountsByPhase"] == {
+        "pending": 1,
+        "running": 4,
+        "succeeded": 0,
+        "failed": 2,
+        "unknown": 0,
+    }
+
+
+def test_deployments_desired_available_counts(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """desired=5, available=3 from k8s.deployment.* metrics; only 2 Running pods seeded.
+    Distinguishes replica counts from phase counts (separate code paths)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_desired_available.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "filter": {"expression": "k8s.deployment.name = 'da-dep'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1
+    rec = data["records"][0]
+    assert rec["deploymentName"] == "da-dep"
+    assert isinstance(rec["desiredPods"], int)
+    assert isinstance(rec["availablePods"], int)
+    assert rec["desiredPods"] == 5
+    assert rec["availablePods"] == 3
+    assert rec["podCountsByPhase"]["running"] == 2
+
+
+def test_deployments_base_filter_drops_non_deployment_pods(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Locks in deploymentsBaseFilterExpr (deployments_constants.go:10, :63-69):
+    standalone pods (no k8s.deployment.name) + StatefulSet pods (k8s.statefulset.name only)
+    are dropped. Only the real deployment row appears, total=1, no empty-name group."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_non_deployment_pods.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 1, f"expected only the real deployment row; got {[r['deploymentName'] for r in data['records']]}"
+    rec = data["records"][0]
+    assert rec["deploymentName"] == "nd-dep"
+    # No empty-name group leaking through.
+    assert all(r["deploymentName"] != "" for r in data["records"])
+
+
+def test_deployments_groupby_namespace(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """groupBy=[k8s.namespace.name]: 2 records, deploymentName cleared,
+    phase counts aggregate per namespace, meta surfaces k8s.namespace.name."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_groupby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "groupBy": [
+                {
+                    "name": "k8s.namespace.name",
+                    "fieldDataType": "string",
+                    "fieldContext": "resource",
+                }
+            ],
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["total"] == 2
+
+    namespaces_seen = set()
+    for rec in data["records"]:
+        # Per-row deployment identity is cleared; only the groupBy field surfaces.
+        assert rec["deploymentName"] == ""
+        # Each ns has 2 deployments x 1 Running pod = 2 Running pods.
+        assert rec["podCountsByPhase"]["running"] == 2
+        for other in ("pending", "succeeded", "failed", "unknown"):
+            assert rec["podCountsByPhase"][other] == 0
+        assert "k8s.namespace.name" in rec["meta"], rec["meta"]
+        namespaces_seen.add(rec["meta"]["k8s.namespace.name"])
+    assert namespaces_seen == {"gb-ns-a", "gb-ns-b"}
+
+
+def test_deployments_pagination_sync(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Pagination invariants across 3 offset windows."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K, limit = 7, 3
+    seen_names: list[str] = []
+    seen_totals: set[int] = set()
+
+    for offset in (0, 3, 6):
+        response = _post(
+            signoz,
+            token,
+            {
+                "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                "end": int(now.timestamp() * 1000),
+                "limit": limit,
+                "offset": offset,
+                "filter": {"expression": "k8s.deployment.name CONTAINS 'page-'"},
+            },
+        )
+        assert response.status_code == HTTPStatus.OK, response.text
+        data = response.json()["data"]
+        seen_totals.add(data["total"])
+        expected_len = min(limit, K - offset)
+        assert len(data["records"]) == expected_len, f"offset={offset}: expected {expected_len}, got {len(data['records'])}"
+        seen_names.extend(r["deploymentName"] for r in data["records"])
+
+    assert seen_totals == {K}
+    assert len(seen_names) == K
+    assert set(seen_names) == {f"page-dep-{i}" for i in range(1, K + 1)}
+
+
+def test_deployments_offset_beyond_total(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Offset beyond total returns empty records; total still reflects dataset size."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_pagination.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 7
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 3,
+            "offset": K + 5,
+            "filter": {"expression": "k8s.deployment.name CONTAINS 'page-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    assert data["records"] == []
+    assert data["total"] == K
+
+
+def test_deployments_total_invariant_across_orderby(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+) -> None:
+    """Total stays K across all 8 orderBy metric columns x 2 directions = 16 calls."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    K = 5
+
+    # orderBy keys per deployments_constants.go:5-14.
+    for column in (
+        "cpu",
+        "cpu_request",
+        "cpu_limit",
+        "memory",
+        "memory_request",
+        "memory_limit",
+        "desired_pods",
+        "available_pods",
+    ):
+        for direction in ("asc", "desc"):
+            response = _post(
+                signoz,
+                token,
+                {
+                    "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+                    "end": int(now.timestamp() * 1000),
+                    "limit": 50,
+                    "orderBy": {"key": {"name": column}, "direction": direction},
+                    "filter": {"expression": "k8s.deployment.name CONTAINS 'order-'"},
+                },
+            )
+            ctx = f"orderBy={column} {direction}"
+            assert response.status_code == HTTPStatus.OK, f"{ctx}: {response.text}"
+            data = response.json()["data"]
+            assert data["total"] == K, f"{ctx}: total={data['total']}"
+            assert len(data["records"]) == K, f"{ctx}: len(records)={len(data['records'])}"
+
+
+@pytest.mark.parametrize(
+    "column,record_field",
+    [
+        pytest.param("cpu", "deploymentCPU", id="cpu"),
+        pytest.param("cpu_request", "deploymentCPURequest", id="cpu_request"),
+        pytest.param("cpu_limit", "deploymentCPULimit", id="cpu_limit"),
+        pytest.param("memory", "deploymentMemory", id="memory"),
+        pytest.param("memory_request", "deploymentMemoryRequest", id="memory_request"),
+        pytest.param("memory_limit", "deploymentMemoryLimit", id="memory_limit"),
+        pytest.param("desired_pods", "desiredPods", id="desired_pods"),
+        pytest.param("available_pods", "availablePods", id="available_pods"),
+    ],
+)
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_deployments_orderby_correctness(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    column: str,
+    record_field: str,
+    direction: str,
+) -> None:
+    """Records sorted by the chosen metric column in the requested direction.
+    Covers each entry in orderByToDeploymentsQueryNames (deployments_constants.go:47-56)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": column}, "direction": direction},
+            "filter": {"expression": "k8s.deployment.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    values = [r[record_field] for r in data["records"]]
+    expected = sorted(values, reverse=(direction == "desc"))
+    assert values == expected, f"{column} {direction} not sorted; got {values}"
+
+
+@pytest.mark.parametrize("direction", ["asc", "desc"])
+def test_deployments_orderby_by_deployment_name(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    insert_metrics,
+    direction: str,
+) -> None:
+    """orderBy=k8s.deployment.name with empty groupBy returns deployments sorted
+    alphabetically via the metadata-name branch (PaginateMetadataByName)."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    insert_metrics(
+        Metrics.load_from_file(
+            get_testdata_file_path("inframonitoring/deployments_orderby.jsonl"),
+            base_time=now - timedelta(minutes=4),
+        )
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(
+        signoz,
+        token,
+        {
+            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+            "end": int(now.timestamp() * 1000),
+            "limit": 50,
+            "orderBy": {"key": {"name": "k8s.deployment.name"}, "direction": direction},
+            "filter": {"expression": "k8s.deployment.name CONTAINS 'order-'"},
+        },
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    data = response.json()["data"]
+    names = [r["deploymentName"] for r in data["records"]]
+    expected = sorted(names, reverse=(direction == "desc"))
+    assert names == expected, f"deployment.name {direction} not sorted; got {names}"
+
+
+@pytest.mark.parametrize(
+    "payload_override,err_substr",
+    [
+        pytest.param({"start": 0}, "start must be greater than 0", id="start_zero"),
+        pytest.param({"start": -1}, "start must be greater than 0", id="start_negative"),
+        pytest.param({"end": 0}, "end must be greater than 0", id="end_zero"),
+        pytest.param({"end": -1}, "end must be greater than 0", id="end_negative"),
+        pytest.param({"_use_end_eq_start": True}, "must be less than end", id="start_equals_end"),
+        pytest.param({"_use_start_gt_end": True}, "must be less than end", id="start_greater_than_end"),
+        pytest.param({"limit": 0}, "limit must be between", id="limit_zero"),
+        pytest.param({"limit": 5001}, "limit must be between", id="limit_too_large"),
+        pytest.param({"offset": -1}, "offset cannot be negative", id="offset_negative"),
+        pytest.param(
+            {"orderBy": {"key": {"name": "bogus_col"}, "direction": "desc"}},
+            "invalid order by key",
+            id="orderby_invalid_key",
+        ),
+        pytest.param(
+            {"orderBy": {"key": {"name": "cpu"}, "direction": "up"}},
+            "invalid order by direction",
+            id="orderby_invalid_direction",
+        ),
+        pytest.param(
+            {
+                "orderBy": {"key": {"name": "k8s.deployment.name"}, "direction": "desc"},
+                "groupBy": [
+                    {
+                        "name": "k8s.namespace.name",
+                        "fieldDataType": "string",
+                        "fieldContext": "resource",
+                    }
+                ],
+            },
+            "is only allowed when groupBy is empty",
+            id="orderby_depname_with_groupby",
+        ),
+    ],
+)
+def test_deployments_validation_errors(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    payload_override: dict,
+    err_substr: str,
+) -> None:
+    """All PostableDeployments.Validate() rules reject with 400 + descriptive error.
+    See pkg/types/inframonitoringtypes/deployments.go:46-97."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body: dict = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    if payload_override.pop("_use_end_eq_start", False):
+        body["end"] = body["start"]
+    if payload_override.pop("_use_start_gt_end", False):
+        body["start"] = body["end"] + 1
+    body.update(payload_override)
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = _post(signoz, token, body)
+    assert response.status_code == HTTPStatus.BAD_REQUEST, response.text
+    error = response.json()["error"]
+    assert error["code"] == "invalid_input"
+    assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
+
+
+@pytest.mark.parametrize(
+    "auth_state,expected_status",
+    [
+        pytest.param("none", HTTPStatus.UNAUTHORIZED, id="no_token"),
+        pytest.param("admin", HTTPStatus.OK, id="admin_token"),
+    ],
+)
+def test_deployments_auth(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token,
+    auth_state: str,
+    expected_status: int,
+) -> None:
+    """Auth required: no Authorization header -> 401; admin Bearer -> 200."""
+    now = datetime.now(tz=UTC).replace(microsecond=0)
+    body = {
+        "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
+        "end": int(now.timestamp() * 1000),
+        "limit": 50,
+    }
+    headers: dict = {}
+    if auth_state == "admin":
+        token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+        headers["authorization"] = f"Bearer {token}"
+
+    response = requests.post(
+        signoz.self.host_configs["8080"].get(ENDPOINT),
+        headers=headers,
+        json=body,
+        timeout=5,
+    )
+    assert response.status_code == expected_status, response.text