refactor(infra-monitoring): align clusters groupby with structure

- rename groupby_cloud_provider -> test_clusters_groupby, parametrize over
  k8s.cluster.name + cloud.provider; adds the cluster-name-in-groupBy branch
  (clusterName populated) that hosts/pods/nodes/namespaces all cover

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

.github/workflows/integrationci.yaml

@@ -39,10 +39,12 @@ jobs:
       matrix:
         suite:
           - alerts
+          - basepath
           - callbackauthn
           - cloudintegrations
           - dashboard
           - ingestionkeys
+          - inframonitoring
           - logspipelines
           - passwordauthn
           - preference
@@ -83,7 +85,7 @@ jobs:
         run: |
           cd tests && uv sync
       - name: webdriver
-        if: matrix.suite == 'callbackauthn'
+        if: matrix.suite == 'callbackauthn' || matrix.suite == 'basepath'
         run: |
           wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | sudo apt-key add -
           echo "deb http://dl.google.com/linux/chrome/deb/ stable main" | sudo tee -a /etc/apt/sources.list.d/google-chrome.list

cmd/community/server.go

@@ -91,7 +91,7 @@ func runServer(ctx context.Context, config signoz.Config, logger *slog.Logger) e
 		sqlstoreProviderFactories(),
 		signoz.NewTelemetryStoreProviderFactories(),
 		func(ctx context.Context, providerSettings factory.ProviderSettings, store authtypes.AuthNStore, licensing licensing.Licensing) (map[authtypes.AuthNProvider]authn.AuthN, error) {
-			return signoz.NewAuthNs(ctx, providerSettings, store, licensing)
+			return signoz.NewAuthNs(ctx, providerSettings, store, licensing, config.Global)
 		},
 		func(ctx context.Context, sqlstore sqlstore.SQLStore, config authz.Config, _ licensing.Licensing, _ []authz.OnBeforeRoleDelete) (factory.ProviderFactory[authz.AuthZ, authz.Config], error) {
 			openfgaDataStore, err := openfgaserver.NewSQLStore(sqlstore, config)

cmd/enterprise/server.go

@@ -107,17 +107,17 @@ func runServer(ctx context.Context, config signoz.Config, logger *slog.Logger) e
 		sqlstoreProviderFactories(),
 		signoz.NewTelemetryStoreProviderFactories(),
 		func(ctx context.Context, providerSettings factory.ProviderSettings, store authtypes.AuthNStore, licensing licensing.Licensing) (map[authtypes.AuthNProvider]authn.AuthN, error) {
-			samlCallbackAuthN, err := samlcallbackauthn.New(ctx, store, licensing)
+			samlCallbackAuthN, err := samlcallbackauthn.New(ctx, store, licensing, config.Global)
 			if err != nil {
 				return nil, err
 			}
 
-			oidcCallbackAuthN, err := oidccallbackauthn.New(store, licensing, providerSettings)
+			oidcCallbackAuthN, err := oidccallbackauthn.New(store, licensing, providerSettings, config.Global)
 			if err != nil {
 				return nil, err
 			}
 
-			authNs, err := signoz.NewAuthNs(ctx, providerSettings, store, licensing)
+			authNs, err := signoz.NewAuthNs(ctx, providerSettings, store, licensing, config.Global)
 			if err != nil {
 				return nil, err
 			}

conf/example.yaml

@@ -440,6 +440,17 @@ traces:
     max_depth_to_auto_expand: 5
     # Threshold below which all spans are returned without windowing.
     max_limit_to_select_all_spans: 10000
+  flamegraph:
+    # Maximum number of BFS depth levels included in a windowed response.
+    max_selected_levels: 50
+    # Maximum spans per level before sampling is applied.
+    max_spans_per_level: 100
+    # Number of highest-latency spans always included when sampling a level.
+    sampling_top_latency_count: 5
+    # Number of timestamp buckets used for uniform sampling within a level.
+    sampling_bucket_count: 50
+    # Threshold below which all spans are returned without windowing or sampling.
+    select_all_spans_limit: 100000
 
 ##################### Authz #################################
 authz:

docs/api/openapi.yml

@@ -6638,6 +6638,70 @@ components:
       - attribute
       - resource
       type: string
+    SpantypesFlamegraphSpan:
+      properties:
+        attributes:
+          additionalProperties: {}
+          type: object
+        durationNano:
+          minimum: 0
+          type: integer
+        event:
+          items:
+            $ref: '#/components/schemas/SpantypesEvent'
+          type: array
+        hasError:
+          type: boolean
+        level:
+          format: int64
+          type: integer
+        name:
+          type: string
+        parentSpanId:
+          type: string
+        resource:
+          additionalProperties:
+            type: string
+          type: object
+        spanId:
+          type: string
+        timestamp:
+          minimum: 0
+          type: integer
+      required:
+      - spanId
+      - parentSpanId
+      - timestamp
+      - durationNano
+      - hasError
+      - name
+      - level
+      - event
+      - attributes
+      - resource
+      type: object
+    SpantypesGettableFlamegraphTrace:
+      properties:
+        endTimestampMillis:
+          format: int64
+          type: integer
+        hasMore:
+          type: boolean
+        spans:
+          items:
+            items:
+              $ref: '#/components/schemas/SpantypesFlamegraphSpan'
+            type: array
+          type: array
+        startTimestampMillis:
+          format: int64
+          type: integer
+      required:
+      - spans
+      - startTimestampMillis
+      - endTimestampMillis
+      - hasMore
+      type: object
     SpantypesGettableSpanMapperGroups:
       properties:
         items:
@@ -6703,6 +6767,15 @@ components:
         traceId:
           type: string
       type: object
+    SpantypesPostableFlamegraph:
+      properties:
+        selectFields:
+          items:
+            $ref: '#/components/schemas/TelemetrytypesTelemetryFieldKey'
+          type: array
+        selectedSpanId:
+          type: string
+      type: object
     SpantypesPostableSpanMapper:
       properties:
         config:
@@ -20535,6 +20608,75 @@ paths:
       summary: Put profile in Zeus for a deployment.
       tags:
       - zeus
+  /api/v3/traces/{traceID}/flamegraph:
+    post:
+      deprecated: false
+      description: Returns the flamegraph view of spans for a given trace ID.
+      operationId: GetFlamegraph
+      parameters:
+      - in: path
+        name: traceID
+        required: true
+        schema:
+          type: string
+      requestBody:
+        content:
+          application/json:
+            schema:
+              $ref: '#/components/schemas/SpantypesPostableFlamegraph'
+      responses:
+        "200":
+          content:
+            application/json:
+              schema:
+                properties:
+                  data:
+                    $ref: '#/components/schemas/SpantypesGettableFlamegraphTrace'
+                  status:
+                    type: string
+                required:
+                - status
+                - data
+                type: object
+          description: OK
+        "400":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Bad Request
+        "401":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Unauthorized
+        "403":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Forbidden
+        "404":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Not Found
+        "500":
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/RenderErrorResponse'
+          description: Internal Server Error
+      security:
+      - api_key:
+        - VIEWER
+      - tokenizer:
+        - VIEWER
+      summary: Get flamegraph view for a trace
+      tags:
+      - tracedetail
   /api/v3/traces/{traceID}/waterfall:
     post:
       deprecated: false

ee/authn/callbackauthn/oidccallbackauthn/authn.go

@@ -5,10 +5,12 @@ import (
 	"fmt"
 	"log/slog"
 	"net/url"
+	"path"
 
 	"github.com/SigNoz/signoz/pkg/authn"
 	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/factory"
+	"github.com/SigNoz/signoz/pkg/global"
 	"github.com/SigNoz/signoz/pkg/http/client"
 	"github.com/SigNoz/signoz/pkg/licensing"
 	"github.com/SigNoz/signoz/pkg/types/authtypes"
@@ -26,13 +28,14 @@ var defaultScopes []string = []string{"email", "profile", oidc.ScopeOpenID}
 var _ authn.CallbackAuthN = (*AuthN)(nil)
 
 type AuthN struct {
-	settings   factory.ScopedProviderSettings
-	store      authtypes.AuthNStore
-	licensing  licensing.Licensing
-	httpClient *client.Client
+	settings     factory.ScopedProviderSettings
+	store        authtypes.AuthNStore
+	licensing    licensing.Licensing
+	httpClient   *client.Client
+	globalConfig global.Config
 }
 
-func New(store authtypes.AuthNStore, licensing licensing.Licensing, providerSettings factory.ProviderSettings) (*AuthN, error) {
+func New(store authtypes.AuthNStore, licensing licensing.Licensing, providerSettings factory.ProviderSettings, globalConfig global.Config) (*AuthN, error) {
 	settings := factory.NewScopedProviderSettings(providerSettings, "github.com/SigNoz/signoz/ee/authn/callbackauthn/oidccallbackauthn")
 
 	httpClient, err := client.New(providerSettings.Logger, providerSettings.TracerProvider, providerSettings.MeterProvider)
@@ -41,10 +44,11 @@ func New(store authtypes.AuthNStore, licensing licensing.Licensing, providerSett
 	}
 
 	return &AuthN{
-		settings:   settings,
-		store:      store,
-		licensing:  licensing,
-		httpClient: httpClient,
+		settings:     settings,
+		store:        store,
+		licensing:    licensing,
+		httpClient:   httpClient,
+		globalConfig: globalConfig,
 	}, nil
 }
 
@@ -197,7 +201,7 @@ func (a *AuthN) oidcProviderAndoauth2Config(ctx context.Context, siteURL *url.UR
 		RedirectURL: (&url.URL{
 			Scheme: siteURL.Scheme,
 			Host:   siteURL.Host,
-			Path:   redirectPath,
+			Path:   path.Join(a.globalConfig.ExternalPath(), redirectPath),
 		}).String(),
 	}, nil
 }

ee/authn/callbackauthn/samlcallbackauthn/authn.go

@@ -6,10 +6,12 @@ import (
 	"encoding/base64"
 	"encoding/pem"
 	"net/url"
+	"path"
 	"strings"
 
 	"github.com/SigNoz/signoz/pkg/authn"
 	"github.com/SigNoz/signoz/pkg/errors"
+	"github.com/SigNoz/signoz/pkg/global"
 	"github.com/SigNoz/signoz/pkg/licensing"
 	"github.com/SigNoz/signoz/pkg/types/authtypes"
 	"github.com/SigNoz/signoz/pkg/valuer"
@@ -24,14 +26,16 @@ const (
 var _ authn.CallbackAuthN = (*AuthN)(nil)
 
 type AuthN struct {
-	store     authtypes.AuthNStore
-	licensing licensing.Licensing
+	store        authtypes.AuthNStore
+	licensing    licensing.Licensing
+	globalConfig global.Config
 }
 
-func New(ctx context.Context, store authtypes.AuthNStore, licensing licensing.Licensing) (*AuthN, error) {
+func New(ctx context.Context, store authtypes.AuthNStore, licensing licensing.Licensing, globalConfig global.Config) (*AuthN, error) {
 	return &AuthN{
-		store:     store,
-		licensing: licensing,
+		store:        store,
+		licensing:    licensing,
+		globalConfig: globalConfig,
 	}, nil
 }
 
@@ -132,7 +136,7 @@ func (a *AuthN) serviceProvider(siteURL *url.URL, authDomain *authtypes.AuthDoma
 		return nil, err
 	}
 
-	acsURL := &url.URL{Scheme: siteURL.Scheme, Host: siteURL.Host, Path: redirectPath}
+	acsURL := &url.URL{Scheme: siteURL.Scheme, Host: siteURL.Host, Path: path.Join(a.globalConfig.ExternalPath(), redirectPath)}
 
 	// Note:
 	// The ServiceProviderIssuer is the client id in case of keycloak. Since we set it to the host here, we need to set the client id == host in keycloak.

frontend/jest.setup.ts

@@ -41,6 +41,15 @@ if (typeof window.IntersectionObserver === 'undefined') {
 	(window as any).IntersectionObserver = IntersectionObserverMock;
 }
 
+if (typeof window.ResizeObserver === 'undefined') {
+	class ResizeObserverMock {
+		observe(): void {}
+		unobserve(): void {}
+		disconnect(): void {}
+	}
+	(window as any).ResizeObserver = ResizeObserverMock;
+}
+
 // Patch getComputedStyle to handle CSS parsing errors from @signozhq/* packages.
 // These packages inject CSS at import time via style-inject / vite-plugin-css-injected-by-js.
 // jsdom's nwsapi cannot parse some of the injected selectors (e.g. Tailwind's :animate-in),

frontend/src/api/generated/services/sigNoz.schemas.ts

@@ -7769,6 +7769,77 @@ export enum SpantypesFieldContextDTO {
 	attribute = 'attribute',
 	resource = 'resource',
 }
+export type SpantypesFlamegraphSpanDTOAttributes = { [key: string]: unknown };
+
+export type SpantypesFlamegraphSpanDTOResource = { [key: string]: string };
+
+export interface SpantypesFlamegraphSpanDTO {
+	/**
+	 * @type object
+	 */
+	attributes: SpantypesFlamegraphSpanDTOAttributes;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	durationNano: number;
+	/**
+	 * @type array
+	 */
+	event: SpantypesEventDTO[];
+	/**
+	 * @type boolean
+	 */
+	hasError: boolean;
+	/**
+	 * @type integer
+	 * @format int64
+	 */
+	level: number;
+	/**
+	 * @type string
+	 */
+	name: string;
+	/**
+	 * @type string
+	 */
+	parentSpanId: string;
+	/**
+	 * @type object
+	 */
+	resource: SpantypesFlamegraphSpanDTOResource;
+	/**
+	 * @type string
+	 */
+	spanId: string;
+	/**
+	 * @type integer
+	 * @minimum 0
+	 */
+	timestamp: number;
+}
+
+export interface SpantypesGettableFlamegraphTraceDTO {
+	/**
+	 * @type integer
+	 * @format int64
+	 */
+	endTimestampMillis: number;
+	/**
+	 * @type boolean
+	 */
+	hasMore: boolean;
+	/**
+	 * @type array
+	 */
+	spans: SpantypesFlamegraphSpanDTO[][];
+	/**
+	 * @type integer
+	 * @format int64
+	 */
+	startTimestampMillis: number;
+}
+
 export type SpantypesSpanMapperGroupConditionDTOAnyOf = {
 	/**
 	 * @type array,null
@@ -8070,6 +8141,17 @@ export interface SpantypesGettableWaterfallTraceDTO {
 	uncollapsedSpans?: string[] | null;
 }
 
+export interface SpantypesPostableFlamegraphDTO {
+	/**
+	 * @type array
+	 */
+	selectFields?: TelemetrytypesTelemetryFieldKeyDTO[];
+	/**
+	 * @type string
+	 */
+	selectedSpanId?: string;
+}
+
 export enum SpantypesSpanMapperOperationDTO {
 	move = 'move',
 	copy = 'copy',
@@ -10424,6 +10506,17 @@ export type GetHosts200 = {
 	status: string;
 };
 
+export type GetFlamegraphPathParameters = {
+	traceID: string;
+};
+export type GetFlamegraph200 = {
+	data: SpantypesGettableFlamegraphTraceDTO;
+	/**
+	 * @type string
+	 */
+	status: string;
+};
+
 export type GetWaterfallPathParameters = {
 	traceID: string;
 };

frontend/src/api/generated/services/tracedetail/index.ts

@@ -12,6 +12,8 @@ import type {
 } from 'react-query';
 
 import type {
+	GetFlamegraph200,
+	GetFlamegraphPathParameters,
 	GetTraceAggregations200,
 	GetTraceAggregationsPathParameters,
 	GetWaterfall200,
@@ -19,6 +21,7 @@ import type {
 	GetWaterfallV4200,
 	GetWaterfallV4PathParameters,
 	RenderErrorResponseDTO,
+	SpantypesPostableFlamegraphDTO,
 	SpantypesPostableTraceAggregationsDTO,
 	SpantypesPostableWaterfallDTO,
 } from '../sigNoz.schemas';
@@ -126,6 +129,105 @@ export const useGetTraceAggregations = <
 > => {
 	return useMutation(getGetTraceAggregationsMutationOptions(options));
 };
+/**
+ * Returns the flamegraph view of spans for a given trace ID.
+ * @summary Get flamegraph view for a trace
+ */
+export const getFlamegraph = (
+	{ traceID }: GetFlamegraphPathParameters,
+	spantypesPostableFlamegraphDTO?: BodyType<SpantypesPostableFlamegraphDTO>,
+	signal?: AbortSignal,
+) => {
+	return GeneratedAPIInstance<GetFlamegraph200>({
+		url: `/api/v3/traces/${traceID}/flamegraph`,
+		method: 'POST',
+		headers: { 'Content-Type': 'application/json' },
+		data: spantypesPostableFlamegraphDTO,
+		signal,
+	});
+};
+
+export const getGetFlamegraphMutationOptions = <
+	TError = ErrorType<RenderErrorResponseDTO>,
+	TContext = unknown,
+>(options?: {
+	mutation?: UseMutationOptions<
+		Awaited<ReturnType<typeof getFlamegraph>>,
+		TError,
+		{
+			pathParams: GetFlamegraphPathParameters;
+			data?: BodyType<SpantypesPostableFlamegraphDTO>;
+		},
+		TContext
+	>;
+}): UseMutationOptions<
+	Awaited<ReturnType<typeof getFlamegraph>>,
+	TError,
+	{
+		pathParams: GetFlamegraphPathParameters;
+		data?: BodyType<SpantypesPostableFlamegraphDTO>;
+	},
+	TContext
+> => {
+	const mutationKey = ['getFlamegraph'];
+	const { mutation: mutationOptions } = options
+		? options.mutation &&
+			'mutationKey' in options.mutation &&
+			options.mutation.mutationKey
+			? options
+			: { ...options, mutation: { ...options.mutation, mutationKey } }
+		: { mutation: { mutationKey } };
+
+	const mutationFn: MutationFunction<
+		Awaited<ReturnType<typeof getFlamegraph>>,
+		{
+			pathParams: GetFlamegraphPathParameters;
+			data?: BodyType<SpantypesPostableFlamegraphDTO>;
+		}
+	> = (props) => {
+		const { pathParams, data } = props ?? {};
+
+		return getFlamegraph(pathParams, data);
+	};
+
+	return { mutationFn, ...mutationOptions };
+};
+
+export type GetFlamegraphMutationResult = NonNullable<
+	Awaited<ReturnType<typeof getFlamegraph>>
+>;
+export type GetFlamegraphMutationBody =
+	| BodyType<SpantypesPostableFlamegraphDTO>
+	| undefined;
+export type GetFlamegraphMutationError = ErrorType<RenderErrorResponseDTO>;
+
+/**
+ * @summary Get flamegraph view for a trace
+ */
+export const useGetFlamegraph = <
+	TError = ErrorType<RenderErrorResponseDTO>,
+	TContext = unknown,
+>(options?: {
+	mutation?: UseMutationOptions<
+		Awaited<ReturnType<typeof getFlamegraph>>,
+		TError,
+		{
+			pathParams: GetFlamegraphPathParameters;
+			data?: BodyType<SpantypesPostableFlamegraphDTO>;
+		},
+		TContext
+	>;
+}): UseMutationResult<
+	Awaited<ReturnType<typeof getFlamegraph>>,
+	TError,
+	{
+		pathParams: GetFlamegraphPathParameters;
+		data?: BodyType<SpantypesPostableFlamegraphDTO>;
+	},
+	TContext
+> => {
+	return useMutation(getGetFlamegraphMutationOptions(options));
+};
 /**
  * Returns the waterfall view of spans for a given trace ID with tree structure, metadata, and windowed pagination
  * @summary Get waterfall view for a trace

frontend/src/container/DashboardContainer/visualization/charts/ChartWrapper/ChartWrapper.tsx

@@ -1,6 +1,6 @@
 import { useCallback, useMemo, useRef } from 'react';
 import ChartLayout from 'container/DashboardContainer/visualization/layout/ChartLayout/ChartLayout';
-import Legend from 'lib/uPlotV2/components/Legend/Legend';
+import UPlotLegend from 'lib/uPlotV2/components/Legend/UPlotLegend';
 import {
 	LegendPosition,
 	TooltipRenderArgs,
@@ -47,7 +47,7 @@ export default function ChartWrapper({
 				return null;
 			}
 			return (
-				<Legend
+				<UPlotLegend
 					config={config}
 					position={legendConfig.position}
 					averageLegendWidth={averageLegendWidth}

frontend/src/container/DashboardContainer/visualization/charts/Pie/Pie.module.scss

@@ -0,0 +1,67 @@
+.pieChartWrapper {
+	display: flex;
+	flex-direction: column;
+	height: 100%;
+	width: 100%;
+	overflow: hidden;
+}
+
+.pieChartNoData {
+	display: flex;
+	justify-content: center;
+	align-items: center;
+	width: 100%;
+	height: 100%;
+	font-size: 14px;
+}
+
+// Size is set inline from the computed chart dimensions (mirrors the uPlot
+// chart/legend split); this just centres the donut within that box.
+.pieChartContainer {
+	flex: 0 0 auto;
+	position: relative;
+	display: flex;
+	justify-content: center;
+	align-items: center;
+}
+
+.pieChartTooltip {
+	padding: 8px 12px;
+	border-radius: 4px;
+	box-shadow: 0 2px 10px rgba(0, 0, 0, 0.2);
+	background-color: var(--l2-background) !important;
+	border: 1px solid var(--l2-border) !important;
+	z-index: 9999;
+	display: flex;
+	align-items: center;
+	justify-content: center;
+}
+.pieChartTooltipContent {
+	display: flex;
+	align-items: center;
+	justify-content: center;
+	gap: 8px;
+}
+
+.pieChartIndicator {
+	width: 12px;
+	height: 12px;
+	border-radius: 2px;
+	margin-right: 8px;
+	display: inline-block;
+}
+
+.pieChartTooltipValue {
+	font-weight: bold;
+	margin-top: 4px;
+}
+
+// Wraps the shared chart Legend. Its width/height are set inline from the
+// computed chart dimensions, so the VirtuosoGrid inside gets the same bounded
+// box (right column / bottom rows) the uPlot charts use.
+.pieChartLegend {
+	flex: 0 0 auto;
+	min-height: 0;
+	min-width: 0;
+	padding: 8px;
+}

frontend/src/container/DashboardContainer/visualization/charts/Pie/Pie.tsx

@@ -0,0 +1,235 @@
+import { useCallback, useMemo, useRef } from 'react';
+import { Color } from '@signozhq/design-tokens';
+import { Group } from '@visx/group';
+import { Pie as VisxPie } from '@visx/shape';
+import { defaultStyles, useTooltip, useTooltipInPortal } from '@visx/tooltip';
+import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
+import { useResizeObserver } from 'hooks/useDimensions';
+import Legend from 'lib/uPlotV2/components/Legend/Legend';
+import { LegendPosition } from 'lib/uPlotV2/components/types';
+
+import { PieChartProps, PieSlice } from '../types';
+import { calculateChartDimensions } from '../utils';
+
+import { usePieInteractions } from '../../hooks/usePieInteractions';
+import PieArc from './PieArc';
+import PieCenterLabel from './PieCenterLabel';
+import styles from './Pie.module.scss';
+import { PieTooltipData } from './types';
+import { getFillColor } from './utils';
+
+/**
+ * Donut chart rendered with @visx. Splits its area into chart + legend with the
+ * same `calculateChartDimensions` logic as the uPlot charts (right column /
+ * up-to-two bottom rows), renders the shared chart Legend, and delegates the
+ * arcs, centre total and interaction state to PieArc / PieCenterLabel /
+ * usePieInteractions. Pure presentation — slices are pre-resolved by the caller.
+ */
+export default function Pie({
+	data,
+	yAxisUnit,
+	decimalPrecision,
+	isDarkMode,
+	position = LegendPosition.BOTTOM,
+	id,
+	onSliceClick,
+	'data-testid': testId,
+}: PieChartProps): JSX.Element {
+	const {
+		active,
+		setActive,
+		visibleData,
+		legendItems,
+		focusedSeriesIndex,
+		onLegendClick,
+		onLegendMouseMove,
+		onLegendMouseLeave,
+	} = usePieInteractions(data, id);
+
+	const {
+		tooltipOpen,
+		tooltipLeft,
+		tooltipTop,
+		tooltipData,
+		hideTooltip,
+		showTooltip,
+	} = useTooltip<PieTooltipData>();
+
+	const { containerRef, TooltipInPortal } = useTooltipInPortal({
+		scroll: true,
+		detectBounds: true,
+	});
+
+	const wrapperRef = useRef<HTMLDivElement>(null);
+	const { width: containerWidth, height: containerHeight } =
+		useResizeObserver(wrapperRef);
+
+	// Reuse the uPlot chart/legend split so the donut + legend get the same area
+	// allocation (right column, or up-to-two bottom rows) as every other panel.
+	const { width, height, legendWidth, legendHeight, averageLegendWidth } =
+		useMemo(
+			() =>
+				calculateChartDimensions({
+					containerWidth,
+					containerHeight,
+					legendConfig: { position },
+					seriesLabels: data.map((slice) => slice.label),
+				}),
+			[containerWidth, containerHeight, position, data],
+		);
+
+	// Donut geometry derived from the allocated chart box.
+	const { size, radius, innerRadius } = useMemo(() => {
+		const nextSize = Math.min(width, height);
+		const nextRadius = nextSize * 0.35;
+		return {
+			size: nextSize,
+			radius: nextRadius,
+			innerRadius: nextRadius * 0.6,
+		};
+	}, [width, height]);
+
+	const totalValue = useMemo(
+		() => visibleData.reduce((sum, slice) => sum + slice.value, 0),
+		[visibleData],
+	);
+
+	const labelColor = isDarkMode ? Color.BG_VANILLA_100 : Color.BG_INK_400;
+	const activeColor = active?.color ?? null;
+
+	const handleSliceEnter = useCallback(
+		(slice: PieSlice, centroidX: number, centroidY: number): void => {
+			showTooltip({
+				tooltipData: {
+					label: slice.label,
+					value: getYAxisFormattedValue(
+						slice.value.toString(),
+						yAxisUnit || 'none',
+						decimalPrecision,
+					),
+					color: slice.color,
+				},
+				tooltipTop: centroidY + height / 2,
+				tooltipLeft: centroidX + width / 2,
+			});
+			setActive(slice);
+		},
+		[showTooltip, setActive, yAxisUnit, decimalPrecision, height, width],
+	);
+
+	const handleSliceLeave = useCallback((): void => {
+		hideTooltip();
+		setActive(null);
+	}, [hideTooltip, setActive]);
+
+	if (!data.length) {
+		return (
+			<div
+				ref={wrapperRef}
+				className={styles.pieChartWrapper}
+				data-testid={testId}
+			>
+				<div className={styles.pieChartNoData}>No data</div>
+			</div>
+		);
+	}
+
+	const isRightLegend = position === LegendPosition.RIGHT;
+
+	return (
+		<div
+			ref={wrapperRef}
+			className={styles.pieChartWrapper}
+			style={{ flexDirection: isRightLegend ? 'row' : 'column' }}
+			data-testid={testId}
+		>
+			<div className={styles.pieChartContainer} style={{ width, height }}>
+				{size > 0 && (
+					<svg width={width} height={height} ref={containerRef}>
+						<Group top={height / 2} left={width / 2}>
+							<VisxPie
+								data={visibleData}
+								pieValue={(slice: PieSlice): number => slice.value}
+								outerRadius={radius}
+								innerRadius={innerRadius}
+								padAngle={0.01}
+								cornerRadius={3}
+								width={size}
+								height={size}
+							>
+								{(pie): JSX.Element[] =>
+									pie.arcs.map((arc) => (
+										<PieArc
+											key={`arc-${arc.data.label}-${arc.data.value}-${arc.startAngle.toFixed(
+												6,
+											)}`}
+											slice={arc.data}
+											arcPath={pie.path(arc) || ''}
+											centroid={pie.path.centroid(arc)}
+											startAngle={arc.startAngle}
+											endAngle={arc.endAngle}
+											radius={radius}
+											totalValue={totalValue}
+											yAxisUnit={yAxisUnit}
+											decimalPrecision={decimalPrecision}
+											labelColor={labelColor}
+											fill={getFillColor(arc.data.color, activeColor)}
+											onEnter={handleSliceEnter}
+											onLeave={handleSliceLeave}
+											onClick={onSliceClick}
+										/>
+									))
+								}
+							</VisxPie>
+							<PieCenterLabel
+								total={totalValue}
+								yAxisUnit={yAxisUnit}
+								decimalPrecision={decimalPrecision}
+								radius={radius}
+								innerRadius={innerRadius}
+								color={labelColor}
+							/>
+						</Group>
+					</svg>
+				)}
+				{tooltipOpen && tooltipData && (
+					<TooltipInPortal
+						top={tooltipTop}
+						left={tooltipLeft}
+						className={styles.pieChartTooltip}
+						style={{
+							...defaultStyles,
+							color: labelColor,
+						}}
+					>
+						<div
+							className={styles.pieChartIndicator}
+							style={{ background: tooltipData.color }}
+						/>
+						<div className={styles.pieChartTooltipContent}>
+							<span>{tooltipData.label}</span>
+							<span className={styles.pieChartTooltipValue}>{tooltipData.value}</span>
+						</div>
+					</TooltipInPortal>
+				)}
+			</div>
+			<div
+				className={styles.pieChartLegend}
+				style={{
+					width: legendWidth,
+					height: legendHeight,
+				}}
+			>
+				<Legend
+					items={legendItems}
+					position={position}
+					averageLegendWidth={averageLegendWidth}
+					focusedSeriesIndex={focusedSeriesIndex}
+					onClick={onLegendClick}
+					onMouseMove={onLegendMouseMove}
+					onMouseLeave={onLegendMouseLeave}
+				/>
+			</div>
+		</div>
+	);
+}

frontend/src/container/DashboardContainer/visualization/charts/Pie/PieArc.tsx

@@ -0,0 +1,123 @@
+import type { PrecisionOption } from 'components/Graph/types';
+import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
+
+import { PieSlice } from '../types';
+
+import { getArcGeometry } from './utils';
+
+// Slices below this share of the total don't get a leader label (too cramped).
+const MIN_LABEL_SHARE = 0.03;
+const MAX_LABEL_LENGTH = 15;
+
+interface PieArcProps {
+	slice: PieSlice;
+	/** SVG path `d` for the arc, from the visx pie generator. */
+	arcPath: string;
+	/** Arc centroid `[x, y]`, used to anchor the leader line and tooltip. */
+	centroid: [number, number];
+	startAngle: number;
+	endAngle: number;
+	radius: number;
+	/** Sum of visible slice values — drives the show-label threshold. */
+	totalValue: number;
+	yAxisUnit?: string;
+	decimalPrecision?: PrecisionOption;
+	labelColor: string;
+	/** Resolved fill (already dimmed if another slice is active). */
+	fill: string;
+	onEnter: (slice: PieSlice, centroidX: number, centroidY: number) => void;
+	onLeave: () => void;
+	onClick?: (slice: PieSlice) => void;
+}
+
+/**
+ * A single donut slice: the arc path plus, for non-tiny slices, a leader line
+ * out to an external label + value. Pure presentation — interaction is
+ * delegated to the `onEnter`/`onLeave`/`onClick` callbacks.
+ */
+export default function PieArc({
+	slice,
+	arcPath,
+	centroid,
+	startAngle,
+	endAngle,
+	radius,
+	totalValue,
+	yAxisUnit,
+	decimalPrecision,
+	labelColor,
+	fill,
+	onEnter,
+	onLeave,
+	onClick,
+}: PieArcProps): JSX.Element {
+	const { label, value } = slice;
+	const [centroidX, centroidY] = centroid;
+	const { labelX, labelY, lineEndX, lineEndY, textAnchor } = getArcGeometry(
+		startAngle,
+		endAngle,
+		radius,
+	);
+
+	const displayValue = getYAxisFormattedValue(
+		value.toString(),
+		yAxisUnit || 'none',
+		decimalPrecision,
+	);
+	const shortenedLabel =
+		label.length > MAX_LABEL_LENGTH ? `${label.substring(0, 12)}...` : label;
+	const shouldShowLabel = value / totalValue > MIN_LABEL_SHARE;
+
+	return (
+		<g
+			onMouseEnter={(): void => onEnter(slice, centroidX, centroidY)}
+			onMouseLeave={onLeave}
+			onClick={(): void => onClick?.(slice)}
+		>
+			<path d={arcPath} fill={fill} />
+			{shouldShowLabel && (
+				<>
+					<line
+						x1={centroidX}
+						y1={centroidY}
+						x2={lineEndX}
+						y2={lineEndY}
+						stroke={labelColor}
+						strokeWidth={1}
+					/>
+					<line
+						x1={lineEndX}
+						y1={lineEndY}
+						x2={labelX}
+						y2={labelY}
+						stroke={labelColor}
+						strokeWidth={1}
+					/>
+					<text
+						x={labelX}
+						y={labelY - 8}
+						dy=".33em"
+						fill={labelColor}
+						fontSize={10}
+						textAnchor={textAnchor}
+						pointerEvents="none"
+					>
+						{shortenedLabel}
+					</text>
+					<text
+						x={labelX}
+						y={labelY + 8}
+						dy=".33em"
+						fill={labelColor}
+						fontSize={10}
+						fontWeight="bold"
+						textAnchor={textAnchor}
+						pointerEvents="none"
+					>
+						{displayValue}
+					</text>
+				</>
+			)}
+		</g>
+	);
+}

frontend/src/container/DashboardContainer/visualization/charts/Pie/PieCenterLabel.tsx

@@ -0,0 +1,57 @@
+import type { PrecisionOption } from 'components/Graph/types';
+import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
+
+import { getScaledFontSize } from './utils';
+
+interface PieCenterLabelProps {
+	/** Sum of the visible slice values, shown in the donut hole. */
+	total: number;
+	yAxisUnit?: string;
+	decimalPrecision?: PrecisionOption;
+	radius: number;
+	innerRadius: number;
+	color: string;
+}
+
+/**
+ * The total shown in the centre of the donut. Splits the formatted value into
+ * its numeric part and unit so each can be sized independently, and scales the
+ * numeric font down for long values so it never overflows the hole.
+ */
+export default function PieCenterLabel({
+	total,
+	yAxisUnit,
+	decimalPrecision,
+	radius,
+	innerRadius,
+	color,
+}: PieCenterLabelProps): JSX.Element {
+	const formattedTotal = getYAxisFormattedValue(
+		total.toString(),
+		yAxisUnit || 'none',
+		decimalPrecision,
+	);
+	const matches = formattedTotal.match(/([\d.]+[KMB]?)(.*)$/);
+	const numericTotal = matches?.[1] || formattedTotal;
+	const unitTotal = matches?.[2]?.trim() || '';
+
+	const numericFontSize = getScaledFontSize({
+		text: numericTotal,
+		baseSize: radius * 0.3,
+		innerRadius,
+	});
+	const unitFontSize = numericFontSize * 0.5;
+
+	return (
+		<text textAnchor="middle" dominantBaseline="central" fill={color}>
+			<tspan fontSize={numericFontSize} fontWeight="bold">
+				{numericTotal}
+			</tspan>
+			{unitTotal && (
+				<tspan fontSize={unitFontSize} opacity={0.9} dx={2}>
+					{unitTotal}
+				</tspan>
+			)}
+		</text>
+	);
+}

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/Pie.test.tsx

@@ -0,0 +1,116 @@
+import React from 'react';
+import { fireEvent, render, screen, within } from '@testing-library/react';
+import { TooltipProvider } from '@signozhq/ui/tooltip';
+import { LegendPosition } from 'lib/uPlotV2/components/types';
+import { LegendItem } from 'lib/uPlotV2/config/types';
+
+import { PieSlice } from '../../types';
+import Pie from '../Pie';
+
+jest.mock('hooks/useDimensions', () => ({
+	useResizeObserver: jest.fn().mockReturnValue({ width: 400, height: 300 }),
+}));
+
+jest.mock('components/Graph/yAxisConfig', () => ({
+	getYAxisFormattedValue: jest.fn((value: string) => value),
+}));
+
+// VirtuosoGrid only renders a window in jsdom; render every item so we can
+// assert on legend entries.
+jest.mock('react-virtuoso', () => ({
+	VirtuosoGrid: ({
+		data,
+		itemContent,
+	}: {
+		data: LegendItem[];
+		itemContent: (index: number, item: LegendItem) => React.ReactNode;
+	}): JSX.Element => (
+		<div data-testid="virtuoso-grid">
+			{data.map((item, index) => (
+				<div key={item.seriesIndex ?? index}>{itemContent(index, item)}</div>
+			))}
+		</div>
+	),
+}));
+
+const DATA: PieSlice[] = [
+	{ label: 'frontend', value: 100, color: '#aa0000' },
+	{ label: 'cart', value: 60, color: '#00aa00' },
+	{ label: 'checkout', value: 40, color: '#0000aa' },
+];
+
+function renderPie(
+	props: Partial<React.ComponentProps<typeof Pie>> = {},
+): void {
+	render(
+		<TooltipProvider>
+			<Pie data={DATA} isDarkMode={false} data-testid="pie" {...props} />
+		</TooltipProvider>,
+	);
+}
+
+describe('Pie', () => {
+	it('renders the "No data" state for empty data', () => {
+		render(
+			<TooltipProvider>
+				<Pie data={[]} isDarkMode={false} data-testid="pie" />
+			</TooltipProvider>,
+		);
+		expect(screen.getByText('No data')).toBeInTheDocument();
+	});
+
+	it('renders one arc per slice plus the legend entries and centre total', () => {
+		renderPie();
+
+		const svg = screen.getByTestId('pie').querySelector('svg') as SVGElement;
+		expect(svg.querySelectorAll('path')).toHaveLength(DATA.length);
+
+		const legend = screen.getByTestId('virtuoso-grid');
+		expect(within(legend).getByText('frontend')).toBeInTheDocument();
+		expect(within(legend).getByText('cart')).toBeInTheDocument();
+		expect(within(legend).getByText('checkout')).toBeInTheDocument();
+
+		// Centre total = 100 + 60 + 40 (formatter mocked to echo the value).
+		expect(screen.getByText('200')).toBeInTheDocument();
+	});
+
+	it('lays the legend out in a row for the right position and a column for bottom', () => {
+		const { rerender } = render(
+			<TooltipProvider>
+				<Pie
+					data={DATA}
+					isDarkMode={false}
+					position={LegendPosition.RIGHT}
+					data-testid="pie"
+				/>
+			</TooltipProvider>,
+		);
+		expect(screen.getByTestId('pie')).toHaveStyle({ flexDirection: 'row' });
+
+		rerender(
+			<TooltipProvider>
+				<Pie
+					data={DATA}
+					isDarkMode={false}
+					position={LegendPosition.BOTTOM}
+					data-testid="pie"
+				/>
+			</TooltipProvider>,
+		);
+		expect(screen.getByTestId('pie')).toHaveStyle({ flexDirection: 'column' });
+	});
+
+	it('hides a slice when its legend marker is clicked', () => {
+		renderPie();
+		const svg = screen.getByTestId('pie').querySelector('svg') as SVGElement;
+		expect(svg.querySelectorAll('path')).toHaveLength(3);
+
+		const marker = document.querySelector(
+			'[data-legend-item-id="1"] [data-is-legend-marker="true"]',
+		) as HTMLElement;
+		fireEvent.click(marker);
+
+		// One slice hidden → one fewer arc drawn.
+		expect(svg.querySelectorAll('path')).toHaveLength(2);
+	});
+});

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/PieArc.test.tsx

@@ -0,0 +1,85 @@
+import { fireEvent, render, screen } from '@testing-library/react';
+
+import { PieSlice } from '../../types';
+import PieArc from '../PieArc';
+
+jest.mock('components/Graph/yAxisConfig', () => ({
+	// Echo the raw value so assertions are deterministic.
+	getYAxisFormattedValue: jest.fn((value: string) => value),
+}));
+
+const SLICE: PieSlice = { label: 'frontend', value: 50, color: '#f00' };
+
+function renderArc(props: Partial<React.ComponentProps<typeof PieArc>> = {}): {
+	onEnter: jest.Mock;
+	onLeave: jest.Mock;
+	onClick: jest.Mock;
+	container: HTMLElement;
+} {
+	const onEnter = jest.fn();
+	const onLeave = jest.fn();
+	const onClick = jest.fn();
+	const { container } = render(
+		<svg>
+			<PieArc
+				slice={SLICE}
+				arcPath="M0,0L1,1"
+				centroid={[10, 20]}
+				startAngle={0}
+				endAngle={Math.PI}
+				radius={100}
+				totalValue={100}
+				labelColor="#fff"
+				fill="#f00"
+				onEnter={onEnter}
+				onLeave={onLeave}
+				onClick={onClick}
+				{...props}
+			/>
+		</svg>,
+	);
+	return { onEnter, onLeave, onClick, container };
+}
+
+describe('PieArc', () => {
+	it('renders the arc path with the resolved fill', () => {
+		const { container } = renderArc();
+		const path = container.querySelector('path');
+		expect(path).toHaveAttribute('d', 'M0,0L1,1');
+		expect(path).toHaveAttribute('fill', '#f00');
+	});
+
+	it('shows the leader label + value for a slice above the threshold', () => {
+		renderArc(); // 50 / 100 = 0.5
+		expect(screen.getByText('frontend')).toBeInTheDocument();
+		expect(screen.getByText('50')).toBeInTheDocument();
+	});
+
+	it('hides the leader label for a slice below the 3% threshold', () => {
+		renderArc({ totalValue: 10000 }); // 50 / 10000 = 0.005
+		expect(screen.queryByText('frontend')).not.toBeInTheDocument();
+		// the arc path itself still renders
+		expect(screen.queryByText('50')).not.toBeInTheDocument();
+	});
+
+	it('truncates labels longer than 15 chars', () => {
+		renderArc({
+			slice: { label: 'a-really-long-service-name', value: 50, color: '#f00' },
+		});
+		expect(screen.getByText('a-really-lon...')).toBeInTheDocument();
+	});
+
+	it('fires onEnter with the slice + centroid, and onLeave / onClick', () => {
+		const { onEnter, onLeave, onClick, container } = renderArc();
+		const g = container.querySelector('g') as SVGGElement;
+
+		fireEvent.mouseEnter(g);
+		expect(onEnter).toHaveBeenCalledWith(SLICE, 10, 20);
+
+		fireEvent.mouseLeave(g);
+		expect(onLeave).toHaveBeenCalledTimes(1);
+
+		fireEvent.click(g);
+		expect(onClick).toHaveBeenCalledWith(SLICE);
+	});
+});

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/PieCenterLabel.test.tsx

@@ -0,0 +1,45 @@
+import { render, screen } from '@testing-library/react';
+import { getYAxisFormattedValue } from 'components/Graph/yAxisConfig';
+
+import PieCenterLabel from '../PieCenterLabel';
+
+jest.mock('components/Graph/yAxisConfig', () => ({
+	getYAxisFormattedValue: jest.fn(),
+}));
+
+const mockFormat = getYAxisFormattedValue as jest.MockedFunction<
+	typeof getYAxisFormattedValue
+>;
+
+function renderInSvg(node: JSX.Element): ReturnType<typeof render> {
+	// PieCenterLabel returns an SVG <text>, so it needs an <svg> host.
+	return render(<svg>{node}</svg>);
+}
+
+describe('PieCenterLabel', () => {
+	const baseProps = {
+		total: 3700,
+		radius: 100,
+		innerRadius: 60,
+		color: '#fff',
+	};
+
+	it('renders the formatted total (numeric + unit suffix) as one numeric tspan when there is no separate unit', () => {
+		mockFormat.mockReturnValue('3.7K');
+		renderInSvg(<PieCenterLabel {...baseProps} />);
+		expect(screen.getByText('3.7K')).toBeInTheDocument();
+	});
+
+	it('splits the numeric part and the trailing unit into separate tspans', () => {
+		mockFormat.mockReturnValue('1.2 MB');
+		renderInSvg(<PieCenterLabel {...baseProps} />);
+		expect(screen.getByText('1.2')).toBeInTheDocument();
+		expect(screen.getByText('MB')).toBeInTheDocument();
+	});
+
+	it('passes the unit + precision through to the formatter', () => {
+		mockFormat.mockReturnValue('100');
+		renderInSvg(<PieCenterLabel {...baseProps} total={100} yAxisUnit="bytes" />);
+		expect(mockFormat).toHaveBeenCalledWith('100', 'bytes', undefined);
+	});
+});

frontend/src/container/DashboardContainer/visualization/charts/Pie/__tests__/utils.test.ts

@@ -0,0 +1,101 @@
+import {
+	getArcGeometry,
+	getFillColor,
+	getScaledFontSize,
+	lightenColor,
+} from '../utils';
+
+describe('Pie utils', () => {
+	describe('getScaledFontSize', () => {
+		it('returns the base size for empty text', () => {
+			expect(getScaledFontSize({ text: '', baseSize: 30, innerRadius: 100 })).toBe(
+				30,
+			);
+		});
+
+		it('does not scale short text (length <= 3)', () => {
+			// scaleFactor = max(0.3, 1) = 1 → baseSize, capped by innerRadius * 0.9.
+			expect(
+				getScaledFontSize({ text: '3.7', baseSize: 30, innerRadius: 100 }),
+			).toBe(30);
+		});
+
+		it('scales longer text down', () => {
+			// length 8 → scaleFactor = max(0.3, 1 - 5 * 0.09) = 0.55 → 30 * 0.55.
+			expect(
+				getScaledFontSize({ text: '12345678', baseSize: 30, innerRadius: 100 }),
+			).toBeCloseTo(16.5);
+		});
+
+		it('floors the scale factor at 0.3 for very long text', () => {
+			// length 20 → 1 - 17 * 0.09 < 0.3 → floored to 0.3 → 100 * 0.3.
+			expect(
+				getScaledFontSize({
+					text: '12345678901234567890',
+					baseSize: 100,
+					innerRadius: 1000,
+				}),
+			).toBeCloseTo(30);
+		});
+
+		it('caps the size at 90% of the inner radius', () => {
+			expect(
+				getScaledFontSize({ text: '3.7', baseSize: 200, innerRadius: 10 }),
+			).toBeCloseTo(9);
+		});
+	});
+
+	describe('getArcGeometry', () => {
+		it('places the label below for a slice centred at the top (angle 0)', () => {
+			const g = getArcGeometry(0, 0, 100);
+			expect(g.labelX).toBeCloseTo(0);
+			expect(g.labelY).toBeCloseTo(-130);
+			expect(g.lineEndX).toBeCloseTo(0);
+			expect(g.lineEndY).toBeCloseTo(-110);
+			// sin(0) is not > 0 → anchor end.
+			expect(g.textAnchor).toBe('end');
+		});
+
+		it('anchors to the start on the right half (angle pi/2)', () => {
+			const g = getArcGeometry(0, Math.PI, 100);
+			expect(g.labelX).toBeCloseTo(130);
+			expect(g.labelY).toBeCloseTo(0);
+			expect(g.textAnchor).toBe('start');
+		});
+
+		it('anchors to the end on the left half (angle 3pi/2)', () => {
+			const g = getArcGeometry(Math.PI, 2 * Math.PI, 100);
+			expect(g.labelX).toBeCloseTo(-130);
+			expect(g.textAnchor).toBe('end');
+		});
+	});
+
+	describe('lightenColor', () => {
+		it('converts a #rrggbb hex to rgba at the given opacity', () => {
+			expect(lightenColor('#ff0000', 0.4)).toBe('rgba(255, 0, 0, 0.4)');
+		});
+
+		it('accepts hex without a leading #', () => {
+			expect(lightenColor('00ff00', 0.4)).toBe('rgba(0, 255, 0, 0.4)');
+		});
+
+		it('returns the original colour when it is not parseable hex', () => {
+			expect(lightenColor('rgba(0,0,0,1)', 0.4)).toBe('rgba(0,0,0,1)');
+			expect(lightenColor('red', 0.4)).toBe('red');
+		});
+	});
+
+	describe('getFillColor', () => {
+		it('returns the colour unchanged when nothing is active', () => {
+			expect(getFillColor('#ff0000', null)).toBe('#ff0000');
+		});
+
+		it('returns the colour unchanged for the active slice', () => {
+			expect(getFillColor('#ff0000', '#ff0000')).toBe('#ff0000');
+		});
+
+		it('dims non-active slices to 40% opacity', () => {
+			expect(getFillColor('#00ff00', '#ff0000')).toBe('rgba(0, 255, 0, 0.4)');
+		});
+	});
+});

frontend/src/container/DashboardContainer/visualization/charts/Pie/types.ts

@@ -0,0 +1,35 @@
+/**
+ * Pie-local types. Kept out of the component / util files so each stays focused
+ * (per the one-component-per-file + dedicated-types rules). Shared chart types
+ * (PieSlice, PieChartProps) live in the parent charts/types.ts.
+ */
+
+export interface ScaledFontSizeArgs {
+	text: string;
+	baseSize: number;
+	innerRadius: number;
+}
+
+export interface ArcGeometry {
+	/** Outer point where the leader label sits. */
+	labelX: number;
+	labelY: number;
+	/** Elbow point where the leader line bends toward the label. */
+	lineEndX: number;
+	lineEndY: number;
+	/** Anchor the label left/right depending on which half of the circle it's in. */
+	textAnchor: 'start' | 'end';
+}
+
+export interface ParsedRgb {
+	r: number;
+	g: number;
+	b: number;
+}
+
+/** Resolved tooltip payload shown when a slice is hovered. */
+export interface PieTooltipData {
+	label: string;
+	value: string;
+	color: string;
+}

frontend/src/container/DashboardContainer/visualization/charts/Pie/utils.ts

@@ -0,0 +1,89 @@
+/**
+ * Pure presentation helpers for the Pie chart. Kept out of the component file
+ * so the renderer stays declarative (per the one-component-per-file rule).
+ */
+
+import { ArcGeometry, ParsedRgb, ScaledFontSizeArgs } from './types';
+
+/**
+ * Shrinks the centre-total font as the text gets longer so it never overflows
+ * the donut hole. Ported from the V1 PiePanelWrapper.
+ */
+export function getScaledFontSize({
+	text,
+	baseSize,
+	innerRadius,
+}: ScaledFontSizeArgs): number {
+	if (!text) {
+		return baseSize;
+	}
+
+	const { length } = text;
+	// More aggressive scaling for very long numbers.
+	const scaleFactor = Math.max(0.3, 1 - (length - 3) * 0.09);
+	// Don't use more than 90% of the inner radius.
+	const maxSize = innerRadius * 0.9;
+
+	return Math.min(baseSize * scaleFactor, maxSize);
+}
+
+/**
+ * Computes the leader-line / label geometry for one arc from its angular span.
+ * Pulled out of the render prop so the SVG markup stays declarative.
+ */
+export function getArcGeometry(
+	startAngle: number,
+	endAngle: number,
+	radius: number,
+): ArcGeometry {
+	const angle = (startAngle + endAngle) / 2;
+	const labelRadius = radius * 1.3;
+	const lineEndRadius = radius * 1.1;
+	return {
+		labelX: Math.sin(angle) * labelRadius,
+		labelY: -Math.cos(angle) * labelRadius,
+		lineEndX: Math.sin(angle) * lineEndRadius,
+		lineEndY: -Math.cos(angle) * lineEndRadius,
+		textAnchor: Math.sin(angle) > 0 ? 'start' : 'end',
+	};
+}
+
+// Parses `#rrggbb` into its components. Returns null for anything else (e.g. an
+// already-rgba string), letting callers fall back to the original colour.
+function hexToRgb(color: string): ParsedRgb | null {
+	const result = /^#?([a-f\d]{2})([a-f\d]{2})([a-f\d]{2})$/i.exec(color);
+	return result
+		? {
+				r: parseInt(result[1], 16),
+				g: parseInt(result[2], 16),
+				b: parseInt(result[3], 16),
+			}
+		: null;
+}
+
+/**
+ * Returns an rgba() string for `color` at the given opacity. Used to dim the
+ * non-hovered slices. Falls back to the original colour if it can't be parsed.
+ */
+export function lightenColor(color: string, opacity: number): string {
+	const rgb = hexToRgb(color);
+	if (!rgb) {
+		return color;
+	}
+	return `rgba(${rgb.r}, ${rgb.g}, ${rgb.b}, ${opacity})`;
+}
+
+/**
+ * Resolves the fill for a slice given the currently-hovered slice colour:
+ * everything but the active slice dims to 40% opacity. With nothing hovered
+ * (`activeColor === null`) every slice keeps its full colour.
+ */
+export function getFillColor(
+	color: string,
+	activeColor: string | null,
+): string {
+	if (activeColor === null) {
+		return color;
+	}
+	return activeColor === color ? color : lightenColor(color, 0.4);
+}

frontend/src/container/DashboardContainer/visualization/charts/types.ts

@@ -3,13 +3,14 @@ import { PrecisionOption } from 'components/Graph/types';
 import {
 	IRenderTooltipFooterArgs,
 	LegendConfig,
+	LegendPosition,
 	TooltipRenderArgs,
 } from 'lib/uPlotV2/components/types';
 import { UPlotConfigBuilder } from 'lib/uPlotV2/config/UPlotConfigBuilder';
 import {
 	DashboardCursorSync,
 	SyncTooltipFilterMode,
-	TooltipClickData,
+	ChartClickData,
 } from 'lib/uPlotV2/plugins/TooltipPlugin/types';
 import { BaseAutocompleteData } from 'types/api/queryBuilder/queryAutocompleteResponse';
 
@@ -22,10 +23,10 @@ interface BaseChartProps {
 	/** Key that pins the tooltip while hovering. Defaults to DEFAULT_PIN_TOOLTIP_KEY ('l'). */
 	pinKey?: string;
 	/** Called when the user clicks the uPlot overlay. Receives resolved click data. */
-	onClick?: (clickData: TooltipClickData) => void;
+	onClick?: (clickData: ChartClickData) => void;
 	yAxisUnit?: string;
 	decimalPrecision?: PrecisionOption;
-	pinnedTooltipElement?: (clickData: TooltipClickData) => React.ReactNode;
+	pinnedTooltipElement?: (clickData: ChartClickData) => React.ReactNode;
 	renderTooltipFooter?: (args: IRenderTooltipFooterArgs) => React.ReactNode;
 	customTooltip?: (props: TooltipRenderArgs) => React.ReactNode;
 	'data-testid'?: string;
@@ -69,3 +70,36 @@ export type ChartProps =
 	| TimeSeriesChartProps
 	| BarChartProps
 	| HistogramChartProps;
+
+/**
+ * One resolved pie/donut slice: a display label, its (already parsed) positive
+ * numeric value, and the colour used for the arc + legend swatch.
+ */
+export interface PieSlice {
+	label: string;
+	value: number;
+	color: string;
+}
+
+/**
+ * Props for the Pie chart. Unlike the others above, Pie is NOT uPlot-based
+ * (it renders with @visx), so it deliberately does not extend BaseChartProps /
+ * UPlotBasedChartProps — it takes pre-resolved slices and self-measures its
+ * draw area rather than receiving a uPlot config + aligned data.
+ */
+export interface PieChartProps {
+	data: PieSlice[];
+	yAxisUnit?: string;
+	decimalPrecision?: PrecisionOption;
+	isDarkMode: boolean;
+	/** Legend placement. Drives the chart-vs-legend layout. Default BOTTOM. */
+	position?: LegendPosition;
+	/**
+	 * Widget id used to persist per-slice hide/unhide state to localStorage
+	 * (shared GRAPH_VISIBILITY_STATES, keyed by label). Omit to disable persistence.
+	 */
+	id?: string;
+	/** Fired when a slice (or its legend entry) is clicked. */
+	onSliceClick?: (slice: PieSlice) => void;
+	'data-testid'?: string;
+}

frontend/src/container/DashboardContainer/visualization/hooks/__tests__/usePieInteractions.test.tsx

@@ -0,0 +1,147 @@
+import { act, renderHook } from '@testing-library/react';
+import {
+	getStoredSeriesVisibility,
+	updateSeriesVisibilityToLocalStorage,
+} from 'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils';
+import type { MouseEvent } from 'react';
+
+import { PieSlice } from '../../charts/types';
+import { usePieInteractions } from '../usePieInteractions';
+
+jest.mock(
+	'container/DashboardContainer/visualization/panels/utils/legendVisibilityUtils',
+);
+
+const mockGetStored = getStoredSeriesVisibility as jest.MockedFunction<
+	typeof getStoredSeriesVisibility
+>;
+const mockUpdateStored =
+	updateSeriesVisibilityToLocalStorage as jest.MockedFunction<
+		typeof updateSeriesVisibilityToLocalStorage
+	>;
+
+const DATA: PieSlice[] = [
+	{ label: 'frontend', value: 100, color: '#a' },
+	{ label: 'cart', value: 60, color: '#b' },
+	{ label: 'checkout', value: 40, color: '#c' },
+];
+
+// Builds a fake legend click/move event: `e.target.closest('[data-legend-item-id]')`
+// resolves to the item at `index`, and `e.target.dataset.isLegendMarker` flags marker clicks.
+function legendEvent(
+	index: number | null,
+	isMarker = false,
+): MouseEvent<HTMLDivElement> {
+	const itemEl =
+		index == null ? null : { dataset: { legendItemId: String(index) } };
+	return {
+		target: {
+			closest: (): unknown => itemEl,
+			dataset: { isLegendMarker: isMarker ? 'true' : undefined },
+		},
+	} as unknown as MouseEvent<HTMLDivElement>;
+}
+
+describe('usePieInteractions', () => {
+	beforeEach(() => {
+		mockGetStored.mockReturnValue(null);
+		mockUpdateStored.mockReset();
+	});
+
+	it('starts with everything visible and nothing focused', () => {
+		const { result } = renderHook(() => usePieInteractions(DATA));
+
+		expect(result.current.visibleData).toStrictEqual(DATA);
+		expect(result.current.legendItems.map((i) => i.show)).toStrictEqual([
+			true,
+			true,
+			true,
+		]);
+		expect(result.current.focusedSeriesIndex).toBeNull();
+		expect(result.current.active).toBeNull();
+	});
+
+	describe('marker click (toggle one)', () => {
+		it('hides then unhides the clicked slice', () => {
+			const { result } = renderHook(() => usePieInteractions(DATA, 'panel-1'));
+
+			act(() => result.current.onLegendClick(legendEvent(1, true)));
+
+			expect(result.current.visibleData).toStrictEqual([DATA[0], DATA[2]]);
+			expect(result.current.legendItems[1].show).toBe(false);
+			expect(mockUpdateStored).toHaveBeenLastCalledWith('panel-1', [
+				{ label: 'frontend', show: true },
+				{ label: 'cart', show: false },
+				{ label: 'checkout', show: true },
+			]);
+
+			act(() => result.current.onLegendClick(legendEvent(1, true)));
+
+			expect(result.current.visibleData).toStrictEqual(DATA);
+			expect(result.current.legendItems[1].show).toBe(true);
+		});
+	});
+
+	describe('label click (isolate / reset)', () => {
+		it('isolates the clicked slice, then resets on a second click', () => {
+			const { result } = renderHook(() => usePieInteractions(DATA));
+
+			act(() => result.current.onLegendClick(legendEvent(0, false)));
+
+			expect(result.current.visibleData).toStrictEqual([DATA[0]]);
+			expect(result.current.legendItems.map((i) => i.show)).toStrictEqual([
+				true,
+				false,
+				false,
+			]);
+
+			act(() => result.current.onLegendClick(legendEvent(0, false)));
+
+			expect(result.current.visibleData).toStrictEqual(DATA);
+		});
+	});
+
+	describe('hover', () => {
+		it('focuses the hovered slice and clears on leave', () => {
+			const { result } = renderHook(() => usePieInteractions(DATA));
+
+			act(() => result.current.onLegendMouseMove(legendEvent(2)));
+			expect(result.current.active).toStrictEqual(DATA[2]);
+			expect(result.current.focusedSeriesIndex).toBe(2);
+
+			act(() => result.current.onLegendMouseLeave());
+			expect(result.current.active).toBeNull();
+			expect(result.current.focusedSeriesIndex).toBeNull();
+		});
+
+		it('does not focus a hidden slice', () => {
+			const { result } = renderHook(() => usePieInteractions(DATA));
+
+			act(() => result.current.onLegendClick(legendEvent(1, true))); // hide cart
+			act(() => result.current.onLegendMouseMove(legendEvent(1)));
+
+			expect(result.current.active).toBeNull();
+		});
+	});
+
+	describe('persistence', () => {
+		it('does not write to storage when no id is provided', () => {
+			const { result } = renderHook(() => usePieInteractions(DATA));
+			act(() => result.current.onLegendClick(legendEvent(0, true)));
+			expect(mockUpdateStored).not.toHaveBeenCalled();
+		});
+
+		it('rehydrates hidden slices from storage on mount (matched by label)', () => {
+			mockGetStored.mockReturnValue([
+				{ label: 'frontend', show: true },
+				{ label: 'cart', show: false },
+				{ label: 'checkout', show: true },
+			]);
+
+			const { result } = renderHook(() => usePieInteractions(DATA, 'panel-1'));
+
+			expect(result.current.visibleData).toStrictEqual([DATA[0], DATA[2]]);
+			expect(result.current.legendItems[1].show).toBe(false);
+		});
+	});
+});

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

@@ -0,0 +1,168 @@
+import { LegendItem } from 'lib/uPlotV2/config/types';
+import type { Dispatch, MouseEvent, SetStateAction } from 'react';
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react';
+
+import {
+	getStoredSeriesVisibility,
+	updateSeriesVisibilityToLocalStorage,
+} from '../panels/utils/legendVisibilityUtils';
+import { PieSlice } from '../charts/types';
+
+export interface UsePieInteractionsResult {
+	/** The hovered/focused slice (drives donut dimming + tooltip). */
+	active: PieSlice | null;
+	setActive: Dispatch<SetStateAction<PieSlice | null>>;
+	/** Slices currently shown (hidden ones removed). */
+	visibleData: PieSlice[];
+	/** Legend item per slice (`show` reflects hide state). */
+	legendItems: LegendItem[];
+	/** Index of the active slice for the legend's focus highlight, or null. */
+	focusedSeriesIndex: number | null;
+	onLegendClick: (e: MouseEvent<HTMLDivElement>) => void;
+	onLegendMouseMove: (e: MouseEvent<HTMLDivElement>) => void;
+	onLegendMouseLeave: () => void;
+}
+
+// Reads the slice index off the nearest `[data-legend-item-id]` ancestor of the
+// event target (the shared Legend tags each item with its seriesIndex).
+function getLegendIndex(e: MouseEvent<HTMLDivElement>): number | null {
+	const el = (e.target as HTMLElement | null)?.closest<HTMLElement>(
+		'[data-legend-item-id]',
+	);
+	const id = el?.dataset.legendItemId;
+	return id != null ? Number(id) : null;
+}
+
+/**
+ * Pie interaction + derived state: hover/focus, slice hide/unhide (mirroring the
+ * uPlot legend — marker toggles one, label isolates), and persistence of the
+ * hidden set to localStorage (keyed by `id`, matched by label) so it survives
+ * reloads. Returns the visible slices, legend items, focus index, and the
+ * legend container handlers.
+ */
+export function usePieInteractions(
+	data: PieSlice[],
+	id?: string,
+): UsePieInteractionsResult {
+	const [active, setActive] = useState<PieSlice | null>(null);
+	const [hiddenIndices, setHiddenIndices] = useState<Set<number>>(
+		() => new Set(),
+	);
+	const isolatedIndexRef = useRef<number | null>(null);
+
+	const legendItems = useMemo<LegendItem[]>(
+		() =>
+			data.map((slice, index) => ({
+				seriesIndex: index,
+				label: slice.label,
+				color: slice.color,
+				show: !hiddenIndices.has(index),
+			})),
+		[data, hiddenIndices],
+	);
+
+	// Hidden slices drop out so the remaining arcs + centre total recompute.
+	const visibleData = useMemo(
+		() => data.filter((_, index) => !hiddenIndices.has(index)),
+		[data, hiddenIndices],
+	);
+
+	// Rehydrate hide/unhide from localStorage (matched by label) whenever the
+	// data set changes — including first load and every refetch, since the store
+	// is the source of truth and toggles write back to it.
+	useEffect(() => {
+		if (!id || !data.length) {
+			return;
+		}
+		const stored = getStoredSeriesVisibility(id);
+		if (!stored) {
+			return;
+		}
+		const hidden = new Set<number>();
+		data.forEach((slice, index) => {
+			if (stored.find((s) => s.label === slice.label)?.show === false) {
+				hidden.add(index);
+			}
+		});
+		setHiddenIndices(hidden);
+	}, [id, data]);
+
+	// Apply a new hidden set and persist it (label + show) to localStorage.
+	const applyHidden = useCallback(
+		(hidden: Set<number>): void => {
+			setHiddenIndices(hidden);
+			if (id) {
+				updateSeriesVisibilityToLocalStorage(
+					id,
+					data.map((slice, index) => ({
+						label: slice.label,
+						show: !hidden.has(index),
+					})),
+				);
+			}
+		},
+		[id, data],
+	);
+
+	const onLegendMouseMove = useCallback(
+		(e: MouseEvent<HTMLDivElement>): void => {
+			const index = getLegendIndex(e);
+			// Don't focus/dim for hidden slices — they aren't on the donut.
+			setActive(index != null && !hiddenIndices.has(index) ? data[index] : null);
+		},
+		[data, hiddenIndices],
+	);
+
+	// Marker click toggles just that slice on/off; label click isolates it
+	// (clicking the isolated one again resets to all) — mirrors the uPlot legend.
+	const onLegendClick = useCallback(
+		(e: MouseEvent<HTMLDivElement>): void => {
+			const index = getLegendIndex(e);
+			if (index == null) {
+				return;
+			}
+			const isMarker = (e.target as HTMLElement).dataset.isLegendMarker;
+
+			if (isMarker) {
+				const next = new Set(hiddenIndices);
+				if (next.has(index)) {
+					next.delete(index);
+				} else {
+					next.add(index);
+				}
+				applyHidden(next);
+				return;
+			}
+
+			const isReset = isolatedIndexRef.current === index;
+			isolatedIndexRef.current = isReset ? null : index;
+			if (isReset) {
+				applyHidden(new Set());
+				return;
+			}
+			const next = new Set<number>();
+			data.forEach((_, i) => {
+				if (i !== index) {
+					next.add(i);
+				}
+			});
+			applyHidden(next);
+		},
+		[data, hiddenIndices, applyHidden],
+	);
+
+	const onLegendMouseLeave = useCallback((): void => setActive(null), []);
+
+	const focusedIndex = active ? data.indexOf(active) : -1;
+
+	return {
+		active,
+		setActive,
+		visibleData,
+		legendItems,
+		focusedSeriesIndex: focusedIndex >= 0 ? focusedIndex : null,
+		onLegendClick,
+		onLegendMouseMove,
+		onLegendMouseLeave,
+	};
+}

frontend/src/container/InfraMonitoringK8s/Deployments/constants.ts

@@ -72,7 +72,7 @@ export const deploymentWidgetInfo = [
 		yAxisUnit: '',
 	},
 	{
-		title: 'Memory usage, request, limits)',
+		title: 'Memory usage, request, limits',
 		yAxisUnit: 'bytes',
 	},
 	{

frontend/src/container/InfraMonitoringK8s/Jobs/constants.ts

@@ -69,7 +69,7 @@ export const jobWidgetInfo = [
 		yAxisUnit: '',
 	},
 	{
-		title: 'Memory usage, request, limits',
+		title: 'Memory Usage',
 		yAxisUnit: 'bytes',
 	},
 	{

frontend/src/container/InfraMonitoringK8s/Namespaces/constants.ts

@@ -703,7 +703,7 @@ export const getNamespaceMetricsQueryPayload = (
 							],
 							having: [],
 							legend: `{{${k8sPodNameKey}}}`,
-							limit: 20,
+							limit: 10,
 							orderBy: [],
 							queryName: 'A',
 							reduceTo: ReduceOperators.AVG,
@@ -1014,8 +1014,8 @@ export const getNamespaceMetricsQueryPayload = (
 										id: '5f2a55c5',
 										key: {
 											dataType: DataTypes.String,
-											id: k8sStatefulsetNameKey,
-											key: k8sStatefulsetNameKey,
+											id: k8sNamespaceNameKey,
+											key: k8sNamespaceNameKey,
 											type: 'tag',
 										},
 										op: '=',

frontend/src/container/InfraMonitoringK8s/Volumes/constants.ts

@@ -317,9 +317,9 @@ export const getVolumeMetricsQueryPayload = (
 						{
 							aggregateAttribute: {
 								dataType: DataTypes.Float64,
-								id: 'k8s_volume_inodes_used--float64----true',
+								id: 'k8s_volume_inodes_used--float64--Gauge--true',
 								key: k8sVolumeInodesUsedKey,
-								type: '',
+								type: 'Gauge',
 							},
 							aggregateOperator: 'avg',
 							dataSource: DataSource.METRICS,
@@ -409,9 +409,9 @@ export const getVolumeMetricsQueryPayload = (
 						{
 							aggregateAttribute: {
 								dataType: DataTypes.Float64,
-								id: 'k8s_volume_inodes--float64----true',
+								id: 'k8s_volume_inodes--float64--Gauge--true',
 								key: k8sVolumeInodesKey,
-								type: '',
+								type: 'Gauge',
 							},
 							aggregateOperator: 'avg',
 							dataSource: DataSource.METRICS,
@@ -501,9 +501,9 @@ export const getVolumeMetricsQueryPayload = (
 						{
 							aggregateAttribute: {
 								dataType: DataTypes.Float64,
-								id: 'k8s_volume_inodes_free--float64----true',
+								id: 'k8s_volume_inodes_free--float64--Gauge--true',
 								key: k8sVolumeInodesFreeKey,
-								type: '',
+								type: 'Gauge',
 							},
 							aggregateOperator: 'avg',
 							dataSource: DataSource.METRICS,

frontend/src/container/LogDetailedView/InfraMetrics/constants.ts

@@ -1619,6 +1619,9 @@ export const getHostQueryPayload = (
 	const diskOpTimeKey = dotMetricsEnabled
 		? 'system.disk.operation_time'
 		: 'system_disk_operation_time';
+	const diskOpsKey = dotMetricsEnabled
+		? 'system.disk.operations'
+		: 'system_disk_operations';
 	const diskPendingKey = dotMetricsEnabled
 		? 'system.disk.pending_operations'
 		: 'system_disk_pending_operations';
@@ -2375,9 +2378,24 @@ export const getHostQueryPayload = (
 								op: 'AND',
 							},
 							functions: [],
-							groupBy: [],
+							groupBy: [
+								{
+									dataType: DataTypes.String,
+									id: 'direction--string--tag--false',
+
+									key: 'direction',
+									type: 'tag',
+								},
+								{
+									dataType: DataTypes.String,
+									id: 'device--string--tag--false',
+
+									key: 'device',
+									type: 'tag',
+								},
+							],
 							having: [],
-							legend: 'system disk io',
+							legend: '{{device}}::{{direction}}',
 							limit: null,
 							orderBy: [],
 							queryName: 'A',
@@ -2409,9 +2427,9 @@ export const getHostQueryPayload = (
 						{
 							aggregateAttribute: {
 								dataType: DataTypes.Float64,
-								id: 'system_disk_operation_time--float64--Sum--true',
+								id: 'system_disk_operations--float64--Sum--true',
 
-								key: diskOpTimeKey,
+								key: diskOpsKey,
 								type: 'Sum',
 							},
 							aggregateOperator: 'rate',
@@ -2421,7 +2439,7 @@ export const getHostQueryPayload = (
 							filters: {
 								items: [
 									{
-										id: 'diskop_f1',
+										id: 'diskops_f1',
 										key: {
 											dataType: DataTypes.String,
 											id: 'host_name--string--tag--false',
@@ -2454,7 +2472,7 @@ export const getHostQueryPayload = (
 							],
 							having: [
 								{
-									columnName: `SUM(${diskOpTimeKey})`,
+									columnName: `SUM(${diskOpsKey})`,
 									op: '>',
 									value: 0,
 								},
@@ -2557,6 +2575,88 @@ export const getHostQueryPayload = (
 			start,
 			end,
 		},
+		{
+			selectedTime: 'GLOBAL_TIME',
+			graphType: PANEL_TYPES.TIME_SERIES,
+			query: {
+				builder: {
+					queryData: [
+						{
+							aggregateAttribute: {
+								dataType: DataTypes.Float64,
+								id: 'system_disk_operation_time--float64--Sum--true',
+
+								key: diskOpTimeKey,
+								type: 'Sum',
+							},
+							aggregateOperator: 'rate',
+							dataSource: DataSource.METRICS,
+							disabled: false,
+							expression: 'A',
+							filters: {
+								items: [
+									{
+										id: 'diskoptime_f1',
+										key: {
+											dataType: DataTypes.String,
+											id: 'host_name--string--tag--false',
+
+											key: hostNameKey,
+											type: 'tag',
+										},
+										op: '=',
+										value: hostName,
+									},
+								],
+								op: 'AND',
+							},
+							functions: [],
+							groupBy: [
+								{
+									dataType: DataTypes.String,
+									id: 'device--string--tag--false',
+
+									key: 'device',
+									type: 'tag',
+								},
+								{
+									dataType: DataTypes.String,
+									id: 'direction--string--tag--false',
+
+									key: 'direction',
+									type: 'tag',
+								},
+							],
+							having: [
+								{
+									columnName: `SUM(${diskOpTimeKey})`,
+									op: '>',
+									value: 0,
+								},
+							],
+							legend: '{{device}}::{{direction}}',
+							limit: null,
+							orderBy: [],
+							queryName: 'A',
+							reduceTo: ReduceOperators.AVG,
+							spaceAggregation: 'sum',
+							stepInterval: 60,
+							timeAggregation: 'rate',
+						},
+					],
+					queryFormulas: [],
+					queryTraceOperator: [],
+				},
+				clickhouse_sql: [{ disabled: false, legend: '', name: 'A', query: '' }],
+				id: 'a8b3d2e1-4f5c-4a6b-9c8d-7e2f1a0b3c4f',
+				promql: [{ disabled: false, legend: '', name: 'A', query: '' }],
+				queryType: EQueryType.QUERY_BUILDER,
+			},
+			variables: {},
+			formatForWeb: false,
+			start,
+			end,
+		},
 	];
 };
 
@@ -2631,5 +2731,5 @@ export const hostWidgetInfo = [
 	{ title: 'System disk io (bytes transferred)', yAxisUnit: 'bytes' },
 	{ title: 'System disk operations/s', yAxisUnit: 'short' },
 	{ title: 'Queue size', yAxisUnit: 'short' },
-	{ title: 'Disk operations time', yAxisUnit: 's' },
+	{ title: 'System disk operation time/s', yAxisUnit: 's' },
 ];

frontend/src/container/OrganizationSettings/AuthDomain/CreateEdit/CreateEdit.tsx

@@ -96,14 +96,28 @@ function CreateOrEdit(props: CreateOrEditProps): JSX.Element {
 			return undefined;
 		}
 
-		const { domainToAdminEmailList, ...rest } = config;
+		const {
+			domainToAdminEmailList,
+			allowedGroups,
+			serviceAccountJson,
+			domainToAdminEmail: _domainToAdminEmail,
+			fetchTransitiveGroupMembership,
+			...rest
+		} = config;
 		const domainToAdminEmail = convertDomainMappingsToRecord(
 			domainToAdminEmailList,
 		);
 
 		return {
 			...rest,
-			domainToAdminEmail: domainToAdminEmail ?? {},
+			...(rest.fetchGroups
+				? {
+						allowedGroups,
+						serviceAccountJson,
+						domainToAdminEmail: domainToAdminEmail ?? {},
+						fetchTransitiveGroupMembership,
+					}
+				: { domainToAdminEmail: {} }),
 		};
 	}, [form]);
 
@@ -129,7 +143,7 @@ function CreateOrEdit(props: CreateOrEditProps): JSX.Element {
 
 		return {
 			...rest,
-			groupMappings: groupMappings ?? {},
+			groupMappings: rest.useRoleAttribute ? undefined : (groupMappings ?? {}),
 		};
 	}, [form]);
 

frontend/src/container/OrganizationSettings/AuthDomain/__tests__/CreateEdit.sanitization.test.tsx

@@ -0,0 +1,195 @@
+import { fireEvent, render, screen, waitFor } from 'tests/test-utils';
+import { rest, server } from 'mocks-server/server';
+import { AuthtypesGettableAuthDomainDTO } from 'api/generated/services/sigNoz.schemas';
+
+import CreateEdit from '../CreateEdit/CreateEdit';
+import {
+	AUTH_DOMAINS_UPDATE_ENDPOINT,
+	mockDomainWithRoleMapping,
+	mockGoogleAuthDomain,
+	mockGoogleAuthWithWorkspaceGroups,
+	mockOidcWithClaimMapping,
+	mockSamlWithAttributeMapping,
+	mockUpdateSuccessResponse,
+} from './mocks';
+
+// @signozhq/ui/button internal effects block form.validateFields() in tests
+jest.mock('@signozhq/ui/button', () => ({
+	...jest.requireActual('@signozhq/ui/button'),
+	Button: ({
+		children,
+		onClick,
+		loading,
+		disabled,
+		'aria-label': ariaLabel,
+		prefix,
+		suffix,
+	}: {
+		children?: React.ReactNode;
+		onClick?: React.MouseEventHandler<HTMLButtonElement>;
+		loading?: boolean;
+		disabled?: boolean;
+		'aria-label'?: string;
+		prefix?: React.ReactNode;
+		suffix?: React.ReactNode;
+	}) => (
+		<button
+			type="button"
+			onClick={onClick}
+			disabled={disabled || loading}
+			aria-label={ariaLabel}
+		>
+			{prefix}
+			{children}
+			{suffix}
+		</button>
+	),
+}));
+
+type SavedPayload = {
+	config: {
+		googleAuthConfig?: Record<string, unknown>;
+		samlConfig?: Record<string, unknown>;
+		oidcConfig?: Record<string, unknown>;
+		roleMapping?: Record<string, unknown>;
+	};
+};
+
+async function submitForm(
+	record: AuthtypesGettableAuthDomainDTO,
+): Promise<SavedPayload> {
+	const requests: SavedPayload[] = [];
+
+	server.use(
+		rest.put(AUTH_DOMAINS_UPDATE_ENDPOINT, async (req, res, ctx) => {
+			requests.push((await req.json()) as SavedPayload);
+			return res(ctx.status(200), ctx.json(mockUpdateSuccessResponse));
+		}),
+	);
+
+	render(<CreateEdit isCreate={false} record={record} onClose={jest.fn()} />);
+	fireEvent.click(screen.getByRole('button', { name: /save changes/i }));
+	await waitFor(() => expect(requests).toHaveLength(1));
+
+	return requests[0];
+}
+
+describe('CreateEdit — payload sanitization', () => {
+	afterEach(() => server.resetHandlers());
+
+	describe('Google Auth', () => {
+		it('sends core fields and omits workspace fields when fetchGroups is not set', async () => {
+			const payload = await submitForm(mockGoogleAuthDomain);
+
+			const g = payload.config.googleAuthConfig;
+			expect(g?.clientId).toBe('test-client-id');
+			expect(g?.clientSecret).toBe('test-client-secret');
+			expect(g?.allowedGroups).toBeUndefined();
+			expect(g?.serviceAccountJson).toBeUndefined();
+			expect(g?.fetchTransitiveGroupMembership).toBeUndefined();
+			expect(g?.domainToAdminEmail).toStrictEqual({});
+		});
+
+		it('strips workspace fields when fetchGroups is false', async () => {
+			const payload = await submitForm({
+				...mockGoogleAuthWithWorkspaceGroups,
+				config: {
+					...mockGoogleAuthWithWorkspaceGroups.config,
+					googleAuthConfig: {
+						...mockGoogleAuthWithWorkspaceGroups.config?.googleAuthConfig,
+						fetchGroups: false,
+					},
+				},
+			});
+
+			const g = payload.config.googleAuthConfig;
+			expect(g?.fetchGroups).toBe(false);
+			expect(g?.allowedGroups).toBeUndefined();
+			expect(g?.serviceAccountJson).toBeUndefined();
+			expect(g?.fetchTransitiveGroupMembership).toBeUndefined();
+			expect(g?.domainToAdminEmail).toStrictEqual({});
+		});
+
+		it('includes all workspace fields when fetchGroups is true', async () => {
+			const payload = await submitForm(mockGoogleAuthWithWorkspaceGroups);
+
+			const g = payload.config.googleAuthConfig;
+			expect(g?.fetchGroups).toBe(true);
+			expect(g?.serviceAccountJson).toBe('{"type": "service_account"}');
+			expect(g?.fetchTransitiveGroupMembership).toBe(true);
+			expect(g?.allowedGroups).toStrictEqual([
+				'allowed-group-1',
+				'allowed-group-2',
+			]);
+			expect(g?.domainToAdminEmail).toStrictEqual({
+				'google-groups.com': 'admin@google-groups.com',
+			});
+		});
+	});
+
+	describe('SAML', () => {
+		it('sends core and attributeMapping fields', async () => {
+			const payload = await submitForm(mockSamlWithAttributeMapping);
+
+			const s = payload.config.samlConfig;
+			expect(s?.samlIdp).toBe('https://idp.saml-attrs.com/sso');
+			expect(s?.samlEntity).toBe('urn:saml-attrs:idp');
+			expect(s?.samlCert).toBe('MOCK_CERTIFICATE_ATTRS');
+			expect(s?.insecureSkipAuthNRequestsSigned).toBe(true);
+
+			const attr = s?.attributeMapping as Record<string, unknown>;
+			expect(attr?.name).toBe('user_display_name');
+			expect(attr?.groups).toBe('member_of');
+			expect(attr?.role).toBe('signoz_role');
+		});
+	});
+
+	describe('OIDC', () => {
+		it('sends all fields including claimMapping', async () => {
+			const payload = await submitForm(mockOidcWithClaimMapping);
+
+			const o = payload.config.oidcConfig;
+			expect(o?.issuer).toBe('https://oidc.claims.com');
+			expect(o?.issuerAlias).toBe('https://alias.claims.com');
+			expect(o?.clientId).toBe('claims-client-id');
+			expect(o?.clientSecret).toBe('claims-client-secret');
+			expect(o?.insecureSkipEmailVerified).toBe(true);
+			expect(o?.getUserInfo).toBe(true);
+
+			const claim = o?.claimMapping as Record<string, unknown>;
+			expect(claim?.email).toBe('user_email');
+			expect(claim?.name).toBe('display_name');
+			expect(claim?.groups).toBe('user_groups');
+			expect(claim?.role).toBe('user_role');
+		});
+	});
+
+	describe('Role Mapping', () => {
+		it('strips groupMappings when useRoleAttribute is true', async () => {
+			const payload = await submitForm({
+				...mockDomainWithRoleMapping,
+				config: {
+					...mockDomainWithRoleMapping.config,
+					roleMapping: {
+						...mockDomainWithRoleMapping.config?.roleMapping,
+						useRoleAttribute: true,
+					},
+				},
+			});
+
+			expect(payload.config.roleMapping?.useRoleAttribute).toBe(true);
+			expect(payload.config.roleMapping?.groupMappings).toBeUndefined();
+		});
+
+		it('sends groupMappings when useRoleAttribute is false', async () => {
+			const payload = await submitForm(mockDomainWithRoleMapping);
+
+			expect(payload.config.roleMapping?.useRoleAttribute).toBe(false);
+			expect(payload.config.roleMapping?.groupMappings).toStrictEqual({
+				'admin-group': 'ADMIN',
+				'dev-team': 'EDITOR',
+				viewers: 'VIEWER',
+			});
+		});
+	});
+});

frontend/src/lib/uPlotV2/components/Legend/Legend.styles.scss

@@ -171,17 +171,18 @@
 	}
 
 	.legend-copy-button {
-		display: none;
-		align-items: center;
-		justify-content: center;
+		// Always laid out (space reserved) but transparent, so revealing it on
+		// hover fades the icon in without reflowing the row / shifting the label.
+		// Shrink the shared icon Button (defaults to a 2rem square) to the
+		// compact legend row via its size tokens.
+		--button-height: auto;
+		--button-width: auto;
+		--button-padding: 2px;
+
+		opacity: 0;
 		flex-shrink: 0;
-		padding: 2px;
-		margin: 0;
-		border: none;
 		color: var(--l2-foreground);
-		cursor: pointer;
 		border-radius: 4px;
-		opacity: 1;
 		transition:
 			opacity 0.15s ease,
 			color 0.15s ease;
@@ -192,9 +193,8 @@
 	}
 
 	&:hover {
-		background: color-mix(in srgb, var(--l1-foreground) 5%, transparent);
+		background: var(--l3-background);
 		.legend-copy-button {
-			display: flex;
 			opacity: 1;
 		}
 	}

frontend/src/lib/uPlotV2/components/Legend/Legend.tsx

@@ -1,39 +1,41 @@
 import { useCallback, useMemo, useRef, useState } from 'react';
 import { VirtuosoGrid } from 'react-virtuoso';
-import { Input, Tooltip as AntdTooltip } from 'antd';
+import { Input } from 'antd';
+import { Button } from '@signozhq/ui/button';
+import { TooltipSimple } from '@signozhq/ui/tooltip';
 import cx from 'classnames';
 import { useCopyToClipboard } from 'hooks/useCopyToClipboard';
 import { LegendItem } from 'lib/uPlotV2/config/types';
-import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
 import { Check, Copy } from '@signozhq/icons';
 
-import { useLegendActions } from '../../hooks/useLegendActions';
 import { LegendPosition, LegendProps } from '../types';
 
 import './Legend.styles.scss';
 
 export const MAX_LEGEND_WIDTH = 240;
 
+/**
+ * Presentational legend. Renders the supplied `items` (markers + labels, an
+ * optional copy button, and a search box for the RIGHT position) and delegates
+ * all interaction to the container handlers. Source-agnostic — the uPlot
+ * charts feed it via UPlotLegend; Pie feeds it directly.
+ */
 export default function Legend({
-	position = LegendPosition.BOTTOM,
-	config,
+	items,
+	position,
 	averageLegendWidth = MAX_LEGEND_WIDTH,
+	focusedSeriesIndex,
+	onClick,
+	onMouseMove,
+	onMouseLeave,
+	showCopy = true,
 }: LegendProps): JSX.Element {
-	const { legendItemsMap, focusedSeriesIndex, setFocusedSeriesIndex } =
-		useLegendsSync({ config });
-	const { onLegendClick, onLegendMouseMove, onLegendMouseLeave } =
-		useLegendActions({
-			setFocusedSeriesIndex,
-			focusedSeriesIndex,
-		});
 	const legendContainerRef = useRef<HTMLDivElement | null>(null);
 	const [legendSearchQuery, setLegendSearchQuery] = useState('');
 	const { copyToClipboard, id: copiedId } = useCopyToClipboard();
 
-	const legendItems = useMemo(
-		() => Object.values(legendItemsMap),
-		[legendItemsMap],
-	);
+	// Search is intrinsic to the right-positioned legend.
+	const searchEnabled = position === LegendPosition.RIGHT;
 
 	const isSingleRow = useMemo(() => {
 		if (!legendContainerRef.current || position !== LegendPosition.BOTTOM) {
@@ -41,21 +43,19 @@ export default function Legend({
 		}
 		const containerWidth = legendContainerRef.current.clientWidth;
 
-		const totalLegendWidth = legendItems.length * (averageLegendWidth + 16);
+		const totalLegendWidth = items.length * (averageLegendWidth + 16);
 		const totalRows = Math.ceil(totalLegendWidth / containerWidth);
 		return totalRows <= 1;
-	}, [averageLegendWidth, legendContainerRef, legendItems.length, position]);
+	}, [averageLegendWidth, items.length, position]);
 
 	const visibleLegendItems = useMemo(() => {
-		if (position !== LegendPosition.RIGHT || !legendSearchQuery.trim()) {
-			return legendItems;
+		if (!searchEnabled || !legendSearchQuery.trim()) {
+			return items;
 		}
 
 		const query = legendSearchQuery.trim().toLowerCase();
-		return legendItems.filter((item) =>
-			item.label?.toLowerCase().includes(query),
-		);
-	}, [position, legendSearchQuery, legendItems]);
+		return items.filter((item) => item.label?.toLowerCase().includes(query));
+	}, [searchEnabled, legendSearchQuery, items]);
 
 	const handleCopyLegendItem = useCallback(
 		(e: React.MouseEvent, seriesIndex: number, label: string): void => {
@@ -68,6 +68,9 @@ export default function Legend({
 	const renderLegendItem = useCallback(
 		(item: LegendItem): JSX.Element => {
 			const isCopied = copiedId === item.seriesIndex;
+			// `color` is uPlot's stroke union (string | fn | gradient); only a string
+			// is a usable CSS colour for the marker.
+			const markerColor = typeof item.color === 'string' ? item.color : undefined;
 			return (
 				<div
 					key={item.seriesIndex}
@@ -77,54 +80,68 @@ export default function Legend({
 						'legend-item-focused': focusedSeriesIndex === item.seriesIndex,
 					})}
 				>
-					<AntdTooltip title={item.label}>
+					<TooltipSimple title={item.label} arrow side="top" disableHoverableContent>
 						<div className="legend-item-label-trigger">
 							<div
 								className="legend-marker"
-								style={{ borderColor: String(item.color) }}
+								style={{ borderColor: markerColor }}
 								data-is-legend-marker={true}
 							/>
 							<span className="legend-label">{item.label}</span>
 						</div>
-					</AntdTooltip>
-					<AntdTooltip title={isCopied ? 'Copied' : 'Copy'}>
-						<button
-							type="button"
-							className="legend-copy-button"
-							onClick={(e): void =>
-								handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
-							}
-							aria-label={`Copy ${item.label}`}
-							data-testid="legend-copy"
+					</TooltipSimple>
+					{showCopy && (
+						<TooltipSimple
+							title={isCopied ? 'Copied' : 'Copy'}
+							arrow
+							side="top"
+							disableHoverableContent
 						>
-							{isCopied ? <Check size={12} /> : <Copy size={12} />}
-						</button>
-					</AntdTooltip>
+							<Button
+								type="button"
+								size="icon"
+								variant="ghost"
+								color="secondary"
+								className="legend-copy-button"
+								onClick={(e): void =>
+									handleCopyLegendItem(e, item.seriesIndex, item.label ?? '')
+								}
+								aria-label={`Copy ${item.label}`}
+								// data-testid (not testId): TooltipSimple's trigger injects
+								// data-testid:undefined via Radix Slot, and Button spreads
+								// incoming props after its own testId — so set it as a prop
+								// that wins the Slot merge and survives the spread.
+								data-testid="legend-copy"
+							>
+								{isCopied ? <Check size={12} /> : <Copy size={12} />}
+							</Button>
+						</TooltipSimple>
+					)}
 				</div>
 			);
 		},
-		[copiedId, focusedSeriesIndex, handleCopyLegendItem, position],
+		[copiedId, focusedSeriesIndex, handleCopyLegendItem, position, showCopy],
 	);
 
 	const isEmptyState = useMemo(() => {
-		if (position !== LegendPosition.RIGHT || !legendSearchQuery.trim()) {
+		if (!searchEnabled || !legendSearchQuery.trim()) {
 			return false;
 		}
 		return visibleLegendItems.length === 0;
-	}, [position, legendSearchQuery, visibleLegendItems]);
+	}, [searchEnabled, legendSearchQuery, visibleLegendItems]);
 
 	return (
 		<div
 			ref={legendContainerRef}
 			className="legend-container"
-			onClick={onLegendClick}
-			onMouseMove={onLegendMouseMove}
-			onMouseLeave={onLegendMouseLeave}
+			onClick={onClick}
+			onMouseMove={onMouseMove}
+			onMouseLeave={onMouseLeave}
 			style={{
 				['--legend-average-width' as string]: `${averageLegendWidth + 16}px`, // 16px is the marker width
 			}}
 		>
-			{position === LegendPosition.RIGHT && (
+			{searchEnabled && (
 				<div className="legend-search-container">
 					<Input
 						allowClear

frontend/src/lib/uPlotV2/components/Legend/UPlotLegend.tsx

@@ -0,0 +1,41 @@
+import { useMemo } from 'react';
+import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
+
+import { useLegendActions } from '../../hooks/useLegendActions';
+import { LegendPosition, UPlotLegendProps } from '../types';
+
+import Legend from './Legend';
+
+/**
+ * uPlot legend controller. Derives the legend items + focus/visibility state
+ * from the chart config (useLegendsSync) and the toggle/focus interactions from
+ * the plot context (useLegendActions), then renders the presentational Legend.
+ * Must be rendered inside a PlotContextProvider.
+ */
+export default function UPlotLegend({
+	position = LegendPosition.BOTTOM,
+	config,
+	averageLegendWidth,
+}: UPlotLegendProps): JSX.Element {
+	const { legendItemsMap, focusedSeriesIndex, setFocusedSeriesIndex } =
+		useLegendsSync({ config });
+	const { onLegendClick, onLegendMouseMove, onLegendMouseLeave } =
+		useLegendActions({
+			setFocusedSeriesIndex,
+			focusedSeriesIndex,
+		});
+
+	const items = useMemo(() => Object.values(legendItemsMap), [legendItemsMap]);
+
+	return (
+		<Legend
+			items={items}
+			position={position}
+			averageLegendWidth={averageLegendWidth}
+			focusedSeriesIndex={focusedSeriesIndex}
+			onClick={onLegendClick}
+			onMouseMove={onLegendMouseMove}
+			onMouseLeave={onLegendMouseLeave}
+		/>
+	);
+}

frontend/src/lib/uPlotV2/components/__tests__/UPlotLegend.test.tsx

@@ -7,11 +7,12 @@ import {
 	within,
 } from '@testing-library/react';
 import userEvent from '@testing-library/user-event';
+import { TooltipProvider } from '@signozhq/ui/tooltip';
 import { LegendItem } from 'lib/uPlotV2/config/types';
 import useLegendsSync from 'lib/uPlotV2/hooks/useLegendsSync';
 
 import { useLegendActions } from '../../hooks/useLegendActions';
-import Legend from '../Legend/Legend';
+import UPlotLegend from '../Legend/UPlotLegend';
 import { LegendPosition } from '../types';
 
 const mockWriteText = jest.fn().mockResolvedValue(undefined);
@@ -47,7 +48,7 @@ const mockUseLegendActions = useLegendActions as jest.MockedFunction<
 	typeof useLegendActions
 >;
 
-describe('Legend', () => {
+describe('UPlotLegend', () => {
 	beforeAll(() => {
 		// JSDOM does not define navigator.clipboard; add it so we can spy on writeText
 		Object.defineProperty(navigator, 'clipboard', {
@@ -115,11 +116,13 @@ describe('Legend', () => {
 
 	const renderLegend = (position?: LegendPosition): RenderResult =>
 		render(
-			<Legend
-				position={position}
-				// config is not used directly in the component, it's consumed by the mocked hook
-				config={{} as any}
-			/>,
+			<TooltipProvider>
+				<UPlotLegend
+					position={position}
+					// config is consumed by the mocked useLegendsSync hook, not directly
+					config={{} as any}
+				/>
+			</TooltipProvider>,
 		);
 
 	describe('layout and position', () => {

frontend/src/lib/uPlotV2/components/types.ts

@@ -1,9 +1,10 @@
-import { ReactNode } from 'react';
+import { MouseEventHandler, ReactNode } from 'react';
 import { Timezone } from 'components/CustomTimePicker/timezoneUtils';
 import { PrecisionOption } from 'components/Graph/types';
 import uPlot from 'uplot';
 
 import { UPlotConfigBuilder } from '../config/UPlotConfigBuilder';
+import { LegendItem } from '../config/types';
 import { SyncTooltipFilterMode } from '../plugins/TooltipPlugin/types';
 
 /**
@@ -109,7 +110,33 @@ export enum LegendPosition {
 export interface LegendConfig {
 	position: LegendPosition;
 }
+/**
+ * Presentational legend props. Source-agnostic: it renders whatever `items`
+ * it's given and delegates interaction to the container handlers, so it serves
+ * both uPlot charts (via UPlotLegend) and non-uPlot charts (Pie). The search
+ * box is intrinsic to the RIGHT position (derived from `position`, not a flag).
+ */
 export interface LegendProps {
+	items: LegendItem[];
+	/** Legend placement; always supplied by the container. */
+	position: LegendPosition;
+	averageLegendWidth?: number;
+	/** Series index to highlight (hovered/focused). */
+	focusedSeriesIndex: number | null;
+	/**
+	 * Container-delegated handlers. Items carry `data-legend-item-id`, so the
+	 * handler reads the target's id rather than binding per item.
+	 */
+	onClick: MouseEventHandler<HTMLDivElement>;
+	onMouseMove: MouseEventHandler<HTMLDivElement>;
+	onMouseLeave: () => void;
+	/** Show the per-item copy button. Default true. */
+	showCopy?: boolean;
+}
+
+/** Props for the uPlot legend controller, which derives items + interaction
+ * from the chart config and renders the presentational Legend. */
+export interface UPlotLegendProps {
 	position?: LegendPosition;
 	config: UPlotConfigBuilder;
 	averageLegendWidth?: number;

frontend/src/lib/uPlotV2/plugins/TooltipPlugin/types.ts

@@ -37,7 +37,7 @@ export interface TooltipViewState {
 	isHovering: boolean;
 	isPinned: boolean;
 	dismiss: () => void;
-	clickData: TooltipClickData | null;
+	clickData: ChartClickData | null;
 	contents?: ReactNode;
 }
 
@@ -59,17 +59,17 @@ export interface TooltipPluginProps {
 	/** Key that pins the tooltip while hovering. Defaults to DEFAULT_PIN_TOOLTIP_KEY ('l'). */
 	pinKey?: string;
 	/** Called when the user clicks the uPlot overlay. Receives resolved click data. */
-	onClick?: (clickData: TooltipClickData) => void;
+	onClick?: (clickData: ChartClickData) => void;
 	syncMode?: DashboardCursorSync;
 	syncKey?: string;
 	syncMetadata?: TooltipSyncMetadata;
 	render: (args: TooltipRenderArgs) => ReactNode;
-	pinnedTooltipElement?: (clickData: TooltipClickData) => ReactNode;
+	pinnedTooltipElement?: (clickData: ChartClickData) => ReactNode;
 	maxWidth?: number;
 	maxHeight?: number;
 }
 
-export interface TooltipClickData {
+export interface ChartClickData {
 	xValue: number;
 	yValue: number;
 	focusedSeries: {
@@ -101,7 +101,7 @@ export interface TooltipControllerState {
 	hoverActive: boolean;
 	isAnySeriesActive: boolean;
 	pinned: boolean;
-	clickData: TooltipClickData | null;
+	clickData: ChartClickData | null;
 	style: TooltipViewState['style'];
 	horizontalOffset: number;
 	verticalOffset: number;

frontend/src/lib/uPlotV2/plugins/TooltipPlugin/utils.ts

@@ -2,7 +2,7 @@ import { getFocusedSeriesAtPosition } from 'lib/uPlotLib/plugins/onClickPlugin';
 
 import {
 	TOOLTIP_OFFSET,
-	TooltipClickData,
+	ChartClickData,
 	TooltipLayoutInfo,
 	TooltipViewState,
 } from './types';
@@ -167,14 +167,11 @@ export function createLayoutObserver(
 }
 
 /**
- * Resolves a TooltipClickData snapshot from a MouseEvent (real or synthetic)
+ * Resolves a ChartClickData snapshot from a MouseEvent (real or synthetic)
  * and the current uPlot instance. Shared by the overlay click handler and the
  * keyboard-pin handler (which synthesises an event from the cursor position).
  */
-export function buildClickData(
-	event: MouseEvent,
-	plot: uPlot,
-): TooltipClickData {
+export function buildClickData(event: MouseEvent, plot: uPlot): ChartClickData {
 	const xValue = plot.posToVal(event.offsetX, 'x');
 	const yValue = plot.posToVal(event.offsetY, 'y');
 	const focusedSeries = getFocusedSeriesAtPosition(event, plot);

pkg/apiserver/signozapiserver/tracedetail.go

@@ -67,5 +67,24 @@ func (provider *provider) addTraceDetailRoutes(router *mux.Router) error {
 		return err
 	}
 
+	if err := router.Handle("/api/v3/traces/{traceID}/flamegraph", handler.New(
+		provider.authzMiddleware.ViewAccess(provider.traceDetailHandler.GetFlamegraph),
+		handler.OpenAPIDef{
+			ID:                  "GetFlamegraph",
+			Tags:                []string{"tracedetail"},
+			Summary:             "Get flamegraph view for a trace",
+			Description:         "Returns the flamegraph view of spans for a given trace ID.",
+			Request:             new(spantypes.PostableFlamegraph),
+			RequestContentType:  "application/json",
+			Response:            new(spantypes.GettableFlamegraphTrace),
+			ResponseContentType: "application/json",
+			SuccessStatusCode:   http.StatusOK,
+			ErrorStatusCodes:    []int{http.StatusBadRequest, http.StatusNotFound},
+			SecuritySchemes:     newSecuritySchemes(types.RoleViewer),
+		},
+	)).Methods(http.MethodPost).GetError(); err != nil {
+		return err
+	}
+
 	return nil
 }

pkg/authn/callbackauthn/googlecallbackauthn/authn.go

@@ -4,6 +4,7 @@ import (
 	"context"
 	"log/slog"
 	"net/url"
+	"path"
 
 	"github.com/coreos/go-oidc/v3/oidc"
 	"golang.org/x/oauth2"
@@ -14,6 +15,7 @@ import (
 	"github.com/SigNoz/signoz/pkg/authn"
 	"github.com/SigNoz/signoz/pkg/errors"
 	"github.com/SigNoz/signoz/pkg/factory"
+	"github.com/SigNoz/signoz/pkg/global"
 	"github.com/SigNoz/signoz/pkg/http/client"
 	"github.com/SigNoz/signoz/pkg/types/authtypes"
 	"github.com/SigNoz/signoz/pkg/valuer"
@@ -29,12 +31,13 @@ var scopes []string = []string{"email", "profile"}
 var _ authn.CallbackAuthN = (*AuthN)(nil)
 
 type AuthN struct {
-	store      authtypes.AuthNStore
-	settings   factory.ScopedProviderSettings
-	httpClient *client.Client
+	store        authtypes.AuthNStore
+	settings     factory.ScopedProviderSettings
+	httpClient   *client.Client
+	globalConfig global.Config
 }
 
-func New(ctx context.Context, store authtypes.AuthNStore, providerSettings factory.ProviderSettings) (*AuthN, error) {
+func New(ctx context.Context, store authtypes.AuthNStore, providerSettings factory.ProviderSettings, globalConfig global.Config) (*AuthN, error) {
 	settings := factory.NewScopedProviderSettings(providerSettings, "github.com/SigNoz/signoz/pkg/authn/callbackauthn/googlecallbackauthn")
 
 	httpClient, err := client.New(settings.Logger(), providerSettings.TracerProvider, providerSettings.MeterProvider)
@@ -43,9 +46,10 @@ func New(ctx context.Context, store authtypes.AuthNStore, providerSettings facto
 	}
 
 	return &AuthN{
-		store:      store,
-		settings:   settings,
-		httpClient: httpClient,
+		store:        store,
+		settings:     settings,
+		httpClient:   httpClient,
+		globalConfig: globalConfig,
 	}, nil
 }
 
@@ -178,7 +182,7 @@ func (a *AuthN) oauth2Config(siteURL *url.URL, authDomain *authtypes.AuthDomain,
 		RedirectURL: (&url.URL{
 			Scheme: siteURL.Scheme,
 			Host:   siteURL.Host,
-			Path:   redirectPath,
+			Path:   path.Join(a.globalConfig.ExternalPath(), redirectPath),
 		}).String(),
 	}
 }

pkg/modules/session/implsession/handler.go

@@ -4,9 +4,11 @@ import (
 	"context"
 	"net/http"
 	"net/url"
+	"path"
 	"time"
 
 	"github.com/SigNoz/signoz/pkg/errors"
+	"github.com/SigNoz/signoz/pkg/global"
 	"github.com/SigNoz/signoz/pkg/http/binding"
 	"github.com/SigNoz/signoz/pkg/http/render"
 	"github.com/SigNoz/signoz/pkg/modules/session"
@@ -15,11 +17,12 @@ import (
 )
 
 type handler struct {
-	module session.Module
+	module       session.Module
+	globalConfig global.Config
 }
 
-func NewHandler(module session.Module) session.Handler {
-	return &handler{module: module}
+func NewHandler(module session.Module, globalConfig global.Config) session.Handler {
+	return &handler{module: module, globalConfig: globalConfig}
 }
 
 func (handler *handler) GetSessionContext(rw http.ResponseWriter, req *http.Request) {
@@ -158,13 +161,13 @@ func (handler *handler) DeleteSession(rw http.ResponseWriter, req *http.Request)
 	render.Success(rw, http.StatusNoContent, nil)
 }
 
-func (*handler) getRedirectURLFromErr(err error) string {
+func (handler *handler) getRedirectURLFromErr(err error) string {
 	values := errors.AsURLValues(err)
 	values.Add("callbackauthnerr", "true")
 
 	return (&url.URL{
 		// When UI is being served on a prefix, we need to redirect to the login page on the prefix.
-		Path:     "/login",
+		Path:     path.Join(handler.globalConfig.ExternalPath(), "/login"),
 		RawQuery: values.Encode(),
 	}).String()
 }

pkg/modules/tracedetail/config.go

@@ -6,7 +6,16 @@ import (
 )
 
 type Config struct {
-	Waterfall WaterfallConfig `mapstructure:"waterfall"`
+	Waterfall  WaterfallConfig  `mapstructure:"waterfall"`
+	Flamegraph FlamegraphConfig `mapstructure:"flamegraph"`
+}
+
+type FlamegraphConfig struct {
+	MaxSelectedLevels            int  `mapstructure:"max_selected_levels"`
+	MaxSpansPerLevel             int  `mapstructure:"max_spans_per_level"`
+	SamplingTopLatencySpansCount int  `mapstructure:"sampling_top_latency_count"`
+	SamplingBucketCount          int  `mapstructure:"sampling_bucket_count"`
+	SelectAllSpansLimit          uint `mapstructure:"select_all_spans_limit"`
 }
 
 type WaterfallConfig struct {
@@ -29,6 +38,13 @@ func newConfig() factory.Config {
 			MaxDepthToAutoExpand:     5,
 			MaxLimitToSelectAllSpans: 10_000,
 		},
+		Flamegraph: FlamegraphConfig{
+			MaxSelectedLevels:            50,
+			MaxSpansPerLevel:             100,
+			SamplingTopLatencySpansCount: 5,
+			SamplingBucketCount:          50,
+			SelectAllSpansLimit:          100_000,
+		},
 	}
 }
 
@@ -42,5 +58,20 @@ func (c Config) Validate() error {
 	if c.Waterfall.MaxLimitToSelectAllSpans == 0 {
 		return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.waterfall.max_limit_to_select_all_spans must be positive")
 	}
+	if c.Flamegraph.MaxSelectedLevels <= 0 {
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.level_limit must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
+	}
+	if c.Flamegraph.MaxSpansPerLevel <= 0 {
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
+	}
+	if c.Flamegraph.SamplingTopLatencySpansCount < 0 {
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
+	}
+	if c.Flamegraph.SamplingBucketCount <= 0 {
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
+	}
+	if c.Flamegraph.SelectAllSpansLimit == 0 {
+		return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.max_limit_to_select_all_spans must be positive")
+	}
 	return nil
 }

pkg/modules/tracedetail/impltracedetail/handler.go

@@ -80,3 +80,19 @@ func (h *handler) GetTraceAggregations(rw http.ResponseWriter, r *http.Request)
 
 	render.Success(rw, http.StatusOK, result)
 }
+
+func (h *handler) GetFlamegraph(rw http.ResponseWriter, r *http.Request) {
+	req := new(spantypes.PostableFlamegraph)
+	if err := binding.JSON.BindBody(r.Body, req); err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	result, err := h.module.GetFlamegraph(r.Context(), mux.Vars(r)["traceID"], req.SelectedSpanID, req.SelectFields)
+	if err != nil {
+		render.Error(rw, err)
+		return
+	}
+
+	render.Success(rw, http.StatusOK, result)
+}

pkg/modules/tracedetail/impltracedetail/module.go

@@ -7,6 +7,7 @@ import (
 	"github.com/SigNoz/signoz/pkg/factory"
 	"github.com/SigNoz/signoz/pkg/modules/tracedetail"
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 	"go.opentelemetry.io/otel/metric"
 )
 
@@ -164,6 +165,17 @@ func (m *module) GetTraceAggregations(ctx context.Context, traceID string, req *
 	return &spantypes.GettableTraceAggregations{Aggregations: results}, nil
 }
 
+func (m *module) GetFlamegraph(ctx context.Context, traceID string, selectedSpanID string, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
+	summary, err := m.store.GetTraceSummary(ctx, traceID)
+	if err != nil {
+		return nil, err
+	}
+	if summary.NumSpans <= uint64(m.config.Flamegraph.SelectAllSpansLimit) {
+		return m.getFullFlamegraph(ctx, traceID, summary, selectFields)
+	}
+	return m.getWindowedFlamegraph(ctx, traceID, selectedSpanID, summary, selectFields)
+}
+
 // getWindowedWaterfall builds the waterfall tree with minimal data and then returns only a window of full spans.
 func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpanID string, uncollapsedSpans []string, start, end time.Time) (*spantypes.GettableWaterfallTrace, error) {
 	// Step 1: minimal fetch → build full tree → select visible window
@@ -204,3 +216,47 @@ func (m *module) getWindowedWaterfall(ctx context.Context, traceID, selectedSpan
 		waterfallTrace, selectedSpans, uncollapsedSpans, false, nil,
 	), nil
 }
+
+func (m *module) getFullFlamegraph(ctx context.Context, traceID string, summary *spantypes.TraceSummary, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
+	fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, summary.Start, summary.End, nil)
+	if err != nil {
+		return nil, err
+	}
+	if len(fullSpans) == 0 {
+		return nil, spantypes.ErrTraceNotFound
+	}
+	flamegraphTrace := spantypes.NewFlamegraphTraceFromStorable(fullSpans, selectFields)
+	return spantypes.NewGettableFlamegraphTrace(flamegraphTrace.GetAllLevels(), summary.Start.UnixMilli(), summary.End.UnixMilli(), false), nil
+}
+
+// getWindowedFlamegraph returns a window of a max levels and max sampled spans per level around the selected span.
+func (m *module) getWindowedFlamegraph(ctx context.Context, traceID, selectedSpanID string, summary *spantypes.TraceSummary, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error) {
+	minimalSpans, err := m.store.GetMinimalSpans(ctx, traceID, summary.Start, summary.End)
+	if err != nil {
+		return nil, err
+	}
+	if len(minimalSpans) == 0 {
+		return nil, spantypes.ErrTraceNotFound
+	}
+
+	flamegraphTrace := spantypes.NewFlamegraphTraceFromMinimal(minimalSpans)
+	minimalSpans = nil //nolint:ineffassign,wastedassign // release backing array before further db calls
+
+	cfg := m.config.Flamegraph
+	selectedSpans := flamegraphTrace.GetSelectedLevels(selectedSpanID, cfg.MaxSelectedLevels, cfg.MaxSpansPerLevel, cfg.SamplingTopLatencySpansCount, cfg.SamplingBucketCount)
+	if len(selectedSpans) == 0 {
+		return nil, spantypes.ErrTraceNotFound
+	}
+
+	fullSpans, err := m.store.GetFlamegraphSpans(ctx, traceID, summary.Start, summary.End, spantypes.FlamegraphWindowSpanIDs(selectedSpans))
+	if err != nil {
+		return nil, err
+	}
+
+	return spantypes.NewGettableFlamegraphTrace(
+		flamegraphTrace.EnrichSelectedSpans(selectedSpans, fullSpans, selectFields),
+		summary.Start.UnixMilli(),
+		summary.End.UnixMilli(),
+		true,
+	), nil
+}

pkg/modules/tracedetail/impltracedetail/store.go

@@ -154,6 +154,47 @@ func (s *traceStore) GetTraceSpansByIDs(ctx context.Context, traceID string, sta
 	return spans, nil
 }
 
+func (s *traceStore) GetFlamegraphSpans(ctx context.Context, traceID string, start, end time.Time, spanIDs []string) ([]spantypes.StorableSpan, error) {
+	sb := sqlbuilder.NewSelectBuilder()
+	sb.Select(
+		"span_id",
+		"any(parent_span_id) AS parent_span_id",
+		"any(timestamp) AS timestamp",
+		"any(duration_nano) AS duration_nano",
+		"any(has_error) AS has_error",
+		"any(name) AS name",
+		"any(events) AS events",
+		"any(attributes_string) AS attributes_string",
+		"any(attributes_number) AS attributes_number",
+		"any(attributes_bool) AS attributes_bool",
+		"any(resources_string) AS resources_string",
+	)
+	sb.From(fmt.Sprintf("%s.%s", spantypes.TraceDB, spantypes.TraceTable))
+	conditions := []string{
+		sb.E("trace_id", traceID),
+		sb.GE("ts_bucket_start", start.Unix()-1800),
+		sb.LE("ts_bucket_start", end.Unix()),
+	}
+	if len(spanIDs) > 0 {
+		ids := make([]any, len(spanIDs))
+		for i, id := range spanIDs {
+			ids[i] = id
+		}
+		conditions = append(conditions, sb.In("span_id", ids...))
+	}
+	sb.Where(conditions...)
+	sb.GroupBy("span_id")
+	sb.OrderByAsc("timestamp")
+	sb.OrderByAsc("name")
+	query, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse)
+
+	var spans []spantypes.StorableSpan
+	if err := s.telemetryStore.ClickhouseDB().Select(ctx, &spans, query, args...); err != nil {
+		return nil, errors.WrapInternalf(err, errors.CodeInternal, "error querying flamegraph spans")
+	}
+	return spans, nil
+}
+
 func (s *traceStore) GetSpanCountByField(ctx context.Context, traceID string, summary *spantypes.TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error) {
 	fieldExpr, err := buildFieldExpr(fieldKey)
 	if err != nil {

pkg/modules/tracedetail/impltracedetail/store_test.go

@@ -91,6 +91,30 @@ func TestGetSpanCountByField(t *testing.T) {
 	}
 }
 
+func TestGetFlamegraphSpans(t *testing.T) {
+	baseSQL := "SELECT span_id, any(parent_span_id) AS parent_span_id, any(timestamp) AS timestamp, any(duration_nano) AS duration_nano, any(has_error) AS has_error, any(name) AS name, any(events) AS events, any(attributes_string) AS attributes_string, any(attributes_number) AS attributes_number, any(attributes_bool) AS attributes_bool, any(resources_string) AS resources_string FROM signoz_traces.distributed_signoz_index_v3 WHERE trace_id = ? AND ts_bucket_start >= ? AND ts_bucket_start <= ? GROUP BY span_id ORDER BY timestamp ASC, name ASC"
+	withSpanIDsSQL := "SELECT span_id, any(parent_span_id) AS parent_span_id, any(timestamp) AS timestamp, any(duration_nano) AS duration_nano, any(has_error) AS has_error, any(name) AS name, any(events) AS events, any(attributes_string) AS attributes_string, any(attributes_number) AS attributes_number, any(attributes_bool) AS attributes_bool, any(resources_string) AS resources_string FROM signoz_traces.distributed_signoz_index_v3 WHERE trace_id = ? AND ts_bucket_start >= ? AND ts_bucket_start <= ? AND span_id IN (?, ?) GROUP BY span_id ORDER BY timestamp ASC, name ASC"
+
+	tests := []struct {
+		name    string
+		spanIDs []string
+		sql     string
+	}{
+		{name: "NoSpanIDs_GeneratesBaseSQL", spanIDs: nil, sql: baseSQL},
+		{name: "WithSpanIDs_GeneratesInClauseSQL", spanIDs: []string{"span-1", "span-2"}, sql: withSpanIDsSQL},
+	}
+
+	for _, tc := range tests {
+		t.Run(tc.name, func(t *testing.T) {
+			s := newTestStore(sqlmock.QueryMatcherRegexp)
+			s.Mock().ExpectSelect(regexp.QuoteMeta(tc.sql)).
+				WillReturnRows(cmock.NewRows(nil, nil))
+			_, _ = s.Store().GetFlamegraphSpans(context.Background(), testTraceID, testStart, testEnd, tc.spanIDs)
+			assert.NoError(t, s.Mock().ExpectationsWereMet())
+		})
+	}
+}
+
 func TestGetSpanDurationByField(t *testing.T) {
 
 	expectedSQL := "WITH all_spans AS (SELECT DISTINCT ON (span_id) resource.`service.name`::String AS field_value, toUnixTimestamp64Nano(timestamp) AS start_ns, start_ns + duration_nano AS end_ns FROM signoz_traces.distributed_signoz_index_v3 WHERE trace_id = ? AND ts_bucket_start >= ? AND ts_bucket_start <= ? AND notEmpty(field_value) ORDER BY timestamp ASC, name ASC), effective_start AS (SELECT field_value, end_ns, greatest(start_ns, ifNull(max(end_ns) OVER (PARTITION BY field_value ORDER BY start_ns ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING), toUInt64(0))) AS effective_start_ns FROM all_spans) SELECT field_value, sum(toUInt64(greatest(end_ns - effective_start_ns, 0))) AS total_ns FROM effective_start GROUP BY field_value"

pkg/modules/tracedetail/tracedetail.go

@@ -5,6 +5,7 @@ import (
 	"net/http"
 
 	"github.com/SigNoz/signoz/pkg/types/spantypes"
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
 )
 
 // Handler exposes HTTP handlers for trace detail APIs.
@@ -12,6 +13,7 @@ type Handler interface {
 	GetWaterfall(http.ResponseWriter, *http.Request)
 	GetWaterfallV4(http.ResponseWriter, *http.Request)
 	GetTraceAggregations(http.ResponseWriter, *http.Request)
+	GetFlamegraph(http.ResponseWriter, *http.Request)
 }
 
 // Module defines the business logic for trace detail operations.
@@ -19,4 +21,5 @@ type Module interface {
 	GetWaterfall(ctx context.Context, traceID string, req *spantypes.PostableWaterfall) (*spantypes.GettableWaterfallTrace, error)
 	GetWaterfallV4(ctx context.Context, traceID string, selectedSpanID string, uncollapsedSpans []string, selectAllLimit uint) (*spantypes.GettableWaterfallTrace, error)
 	GetTraceAggregations(ctx context.Context, traceID string, req *spantypes.PostableTraceAggregations) (*spantypes.GettableTraceAggregations, error)
+	GetFlamegraph(ctx context.Context, traceID string, selectedSpanID string, selectFields []telemetrytypes.TelemetryFieldKey) (*spantypes.GettableFlamegraphTrace, error)
 }

pkg/signoz/authn.go

@@ -7,14 +7,15 @@ import (
 	"github.com/SigNoz/signoz/pkg/authn/callbackauthn/googlecallbackauthn"
 	"github.com/SigNoz/signoz/pkg/authn/passwordauthn/emailpasswordauthn"
 	"github.com/SigNoz/signoz/pkg/factory"
+	"github.com/SigNoz/signoz/pkg/global"
 	"github.com/SigNoz/signoz/pkg/licensing"
 	"github.com/SigNoz/signoz/pkg/types/authtypes"
 )
 
-func NewAuthNs(ctx context.Context, providerSettings factory.ProviderSettings, store authtypes.AuthNStore, licensing licensing.Licensing) (map[authtypes.AuthNProvider]authn.AuthN, error) {
+func NewAuthNs(ctx context.Context, providerSettings factory.ProviderSettings, store authtypes.AuthNStore, licensing licensing.Licensing, globalConfig global.Config) (map[authtypes.AuthNProvider]authn.AuthN, error) {
 	emailPasswordAuthN := emailpasswordauthn.New(store)
 
-	googleCallbackAuthN, err := googlecallbackauthn.New(ctx, store, providerSettings)
+	googleCallbackAuthN, err := googlecallbackauthn.New(ctx, store, providerSettings, globalConfig)
 	if err != nil {
 		return nil, err
 	}

pkg/signoz/provider.go

@@ -275,14 +275,14 @@ func NewQuerierProviderFactories(telemetryStore telemetrystore.TelemetryStore, p
 	)
 }
 
-func NewAPIServerProviderFactories(orgGetter organization.Getter, authz authz.AuthZ, modules Modules, handlers Handlers) factory.NamedMap[factory.ProviderFactory[apiserver.APIServer, apiserver.Config]] {
+func NewAPIServerProviderFactories(orgGetter organization.Getter, authz authz.AuthZ, modules Modules, handlers Handlers, globalConfig global.Config) factory.NamedMap[factory.ProviderFactory[apiserver.APIServer, apiserver.Config]] {
 	return factory.MustNewNamedMap(
 		signozapiserver.NewFactory(
 			orgGetter,
 			authz,
 			implorganization.NewHandler(modules.OrgGetter, modules.OrgSetter),
 			impluser.NewHandler(modules.UserSetter, modules.UserGetter),
-			implsession.NewHandler(modules.Session),
+			implsession.NewHandler(modules.Session, globalConfig),
 			implauthdomain.NewHandler(modules.AuthDomain),
 			implpreference.NewHandler(modules.Preference),
 			handlers.Global,

pkg/signoz/provider_test.go

@@ -95,6 +95,7 @@ func TestNewProviderFactories(t *testing.T) {
 			nil,
 			Modules{},
 			Handlers{},
+			global.Config{},
 		)
 	})
 }

pkg/signoz/signoz.go

@@ -542,7 +542,7 @@ func New(
 		ctx,
 		providerSettings,
 		config.APIServer,
-		NewAPIServerProviderFactories(orgGetter, authz, modules, handlers),
+		NewAPIServerProviderFactories(orgGetter, authz, modules, handlers, config.Global),
 		"signoz",
 	)
 	if err != nil {

pkg/types/spantypes/flamegraph_span.go

@@ -0,0 +1,102 @@
+package spantypes
+
+import (
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+)
+
+type FlamegraphSpan struct {
+	SpanID       string            `json:"spanId" required:"true"`
+	ParentSpanID string            `json:"parentSpanId" required:"true"`
+	Timestamp    uint64            `json:"timestamp" required:"true"`
+	DurationNano uint64            `json:"durationNano" required:"true"`
+	HasError     bool              `json:"hasError" required:"true"`
+	Name         string            `json:"name" required:"true"`
+	Level        int64             `json:"level" required:"true"`
+	Events       []Event           `json:"event" required:"true" nullable:"false"`
+	Attributes   map[string]any    `json:"attributes" required:"true" nullable:"false"`
+	Resource     map[string]string `json:"resource" required:"true" nullable:"false"`
+	Children     []*FlamegraphSpan `json:"-"` // internal tree use only
+}
+
+// FlamegraphLevel groups span IDs at a single level within the selected window.
+type FlamegraphLevel struct {
+	Level   int64
+	SpanIDs []string
+}
+
+type PostableFlamegraph struct {
+	SelectedSpanID string                             `json:"selectedSpanId"`
+	SelectFields   []telemetrytypes.TelemetryFieldKey `json:"selectFields,omitempty"`
+}
+
+// GettableFlamegraphTrace is the response for the v3 flamegraph API.
+type GettableFlamegraphTrace struct {
+	Spans                [][]*FlamegraphSpan `json:"spans" required:"true" nullable:"false"`
+	StartTimestampMillis int64               `json:"startTimestampMillis" required:"true"`
+	EndTimestampMillis   int64               `json:"endTimestampMillis" required:"true"`
+	HasMore              bool                `json:"hasMore" required:"true"`
+}
+
+func NewGettableFlamegraphTrace(spans [][]*FlamegraphSpan, startMs, endMs int64, hasMore bool) *GettableFlamegraphTrace {
+	return &GettableFlamegraphTrace{
+		Spans:                spans,
+		StartTimestampMillis: startMs,
+		EndTimestampMillis:   endMs,
+		HasMore:              hasMore,
+	}
+}
+
+func NewFlamegraphSpanFromStorable(s *StorableSpan, level int64, selectFields []telemetrytypes.TelemetryFieldKey) *FlamegraphSpan {
+	span := &FlamegraphSpan{
+		SpanID:       s.SpanID,
+		ParentSpanID: s.ParentSpanID,
+		Timestamp:    uint64(s.StartTime.UnixNano()),
+		DurationNano: s.DurationNano,
+		HasError:     s.HasError,
+		Name:         s.Name,
+		Level:        level,
+		Events:       s.UnmarshalledEvents(),
+		Attributes:   make(map[string]any),
+		Resource:     make(map[string]string),
+	}
+	if len(selectFields) == 0 {
+		return span
+	}
+	for _, field := range selectFields {
+		switch field.FieldContext {
+		case telemetrytypes.FieldContextResource:
+			if v, ok := s.ResourcesString[field.Name]; ok && v != "" {
+				span.Resource[field.Name] = v
+			}
+		case telemetrytypes.FieldContextAttribute:
+			if v := s.AttributeValue(field.Name); v != nil {
+				span.Attributes[field.Name] = v
+			}
+		}
+	}
+	return span
+}
+
+func NewMissingParentFlamegraphSpan(node *FlamegraphSpan) *FlamegraphSpan {
+	return &FlamegraphSpan{
+		SpanID:       node.ParentSpanID,
+		Name:         "Missing Span",
+		Timestamp:    node.Timestamp,
+		DurationNano: node.DurationNano,
+		Events:       []Event{},
+		Children:     []*FlamegraphSpan{node},
+	}
+}
+
+// FlamegraphWindowSpanIDs collects all span IDs from a level window into a flat slice.
+func FlamegraphWindowSpanIDs(window []FlamegraphLevel) []string {
+	total := 0
+	for _, lvl := range window {
+		total += len(lvl.SpanIDs)
+	}
+	ids := make([]string, 0, total)
+	for _, lvl := range window {
+		ids = append(ids, lvl.SpanIDs...)
+	}
+	return ids
+}

pkg/types/spantypes/flamegraph_trace.go

@@ -0,0 +1,111 @@
+package spantypes
+
+import (
+	"sort"
+
+	"github.com/SigNoz/signoz/pkg/types/telemetrytypes"
+)
+
+// FlamegraphTrace holds the level wise tree built from minimal spans.
+type FlamegraphTrace struct {
+	roots     []*FlamegraphSpan
+	nodeByID  map[string]*FlamegraphSpan
+	startTime uint64
+	endTime   uint64
+}
+
+func NewFlamegraphTraceFromMinimal(spans []MinimalSpan) *FlamegraphTrace {
+	t := &FlamegraphTrace{
+		nodeByID: make(map[string]*FlamegraphSpan, len(spans)),
+	}
+	for i := range spans {
+		node := spans[i].ToFlamegraphSpan()
+		t.updateTimeRange(node.Timestamp, node.DurationNano)
+		t.nodeByID[node.SpanID] = node
+	}
+	t.buildSpanTree()
+	return t
+}
+
+func NewFlamegraphTraceFromStorable(spans []StorableSpan, selectFields []telemetrytypes.TelemetryFieldKey) *FlamegraphTrace {
+	t := &FlamegraphTrace{
+		nodeByID: make(map[string]*FlamegraphSpan, len(spans)),
+	}
+	for i := range spans {
+		node := NewFlamegraphSpanFromStorable(&spans[i], 0, selectFields) // level is set later by BFS
+		t.updateTimeRange(node.Timestamp, node.DurationNano)
+		t.nodeByID[node.SpanID] = node
+	}
+	t.buildSpanTree()
+	return t
+}
+
+func (t *FlamegraphTrace) GetAllLevels() [][]*FlamegraphSpan {
+	return nil
+}
+
+// GetSelectedLevels returns the window of levels around selectedSpanID with sampling applied to dense levels.
+func (t *FlamegraphTrace) GetSelectedLevels(selectedSpanID string, levelLimit, spansPerLevel, topLatencyCount, bucketCount int) []FlamegraphLevel {
+	return nil
+}
+
+func (t *FlamegraphTrace) EnrichSelectedSpans(selectedSpans []FlamegraphLevel, fullSpans []StorableSpan, selectFields []telemetrytypes.TelemetryFieldKey) [][]*FlamegraphSpan {
+	fullByID := make(map[string]*StorableSpan, len(fullSpans))
+	for i := range fullSpans {
+		fullByID[fullSpans[i].SpanID] = &fullSpans[i]
+	}
+
+	result := make([][]*FlamegraphSpan, len(selectedSpans))
+	for i, lvl := range selectedSpans {
+		result[i] = make([]*FlamegraphSpan, 0, len(lvl.SpanIDs))
+		for _, spanID := range lvl.SpanIDs {
+			if full, ok := fullByID[spanID]; ok {
+				result[i] = append(result[i], NewFlamegraphSpanFromStorable(full, lvl.Level, selectFields))
+			} else if lean, ok := t.nodeByID[spanID]; ok {
+				result[i] = append(result[i], lean)
+			}
+		}
+	}
+	return result
+}
+
+func (t *FlamegraphTrace) updateTimeRange(timestamp, durationNano uint64) {
+	if t.startTime == 0 || timestamp < t.startTime {
+		t.startTime = timestamp
+	}
+	if end := timestamp + durationNano; end > t.endTime {
+		t.endTime = end
+	}
+}
+
+func (t *FlamegraphTrace) buildSpanTree() {
+	for _, node := range t.nodeByID {
+		if node.ParentSpanID != "" {
+			if parent, ok := t.nodeByID[node.ParentSpanID]; ok {
+				parent.Children = append(parent.Children, node)
+			} else {
+				missing := NewMissingParentFlamegraphSpan(node)
+				t.nodeByID[missing.SpanID] = missing
+				t.roots = append(t.roots, missing)
+			}
+		} else if flamegraphSpanIndex(t.roots, node.SpanID) == -1 {
+			t.roots = append(t.roots, node)
+		}
+	}
+
+	sort.Slice(t.roots, func(i, j int) bool {
+		if t.roots[i].Timestamp == t.roots[j].Timestamp {
+			return t.roots[i].SpanID < t.roots[j].SpanID
+		}
+		return t.roots[i].Timestamp < t.roots[j].Timestamp
+	})
+}
+
+func flamegraphSpanIndex(spans []*FlamegraphSpan, spanID string) int {
+	for i, s := range spans {
+		if s.SpanID == spanID {
+			return i
+		}
+	}
+	return -1
+}

pkg/types/spantypes/store.go

@@ -30,6 +30,7 @@ type TraceStore interface {
 	GetTraceSpans(ctx context.Context, traceID string, summary *TraceSummary) ([]StorableSpan, error)
 	GetMinimalSpans(ctx context.Context, traceID string, start, end time.Time) ([]MinimalSpan, error)
 	GetTraceSpansByIDs(ctx context.Context, traceID string, start, end time.Time, spanIDs []string) ([]StorableSpan, error)
+	GetFlamegraphSpans(ctx context.Context, traceID string, start, end time.Time, spanIDs []string) ([]StorableSpan, error)
 
 	GetSpanCountByField(ctx context.Context, traceID string, summary *TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error)
 	GetSpanDurationByField(ctx context.Context, traceID string, summary *TraceSummary, fieldKey telemetrytypes.TelemetryFieldKey) (map[string]uint64, error)

pkg/types/spantypes/waterfall_span.go

@@ -164,6 +164,17 @@ func (item *MinimalSpan) ToWaterfallSpan(traceID string) *WaterfallSpan {
 	}
 }
 
+func (item *MinimalSpan) ToFlamegraphSpan() *FlamegraphSpan {
+	return &FlamegraphSpan{
+		SpanID:       item.SpanID,
+		ParentSpanID: item.ParentSpanID,
+		Timestamp:    uint64(item.StartTime.UnixNano()),
+		DurationNano: item.DurationNano,
+		HasError:     item.HasError,
+		Children:     make([]*FlamegraphSpan, 0),
+	}
+}
+
 // NewMissingWaterfallSpan creates a synthetic placeholder span for a parent that has no recorded data.
 func NewMissingWaterfallSpan(spanID, traceID string, timeUnixNano, durationNano uint64) *WaterfallSpan {
 	return &WaterfallSpan{
@@ -267,6 +278,19 @@ func (ws *WaterfallSpan) getPathToSelectedSpanID(selectedSpanID string) ([]strin
 	return nil, false
 }
 
+func (item *StorableSpan) AttributeValue(name string) any {
+	if v, ok := item.AttributesString[name]; ok {
+		return v
+	}
+	if v, ok := item.AttributesNumber[name]; ok {
+		return v
+	}
+	if v, ok := item.AttributesBool[name]; ok {
+		return v
+	}
+	return nil
+}
+
 func (item *StorableSpan) Attributes() map[string]any {
 	attributes := make(map[string]any, len(item.AttributesString)+len(item.AttributesNumber)+len(item.AttributesBool))
 	for k, v := range item.AttributesString {
@@ -296,7 +320,7 @@ func (item *StorableSpan) UnmarshalledEvents() []Event {
 func (item *StorableSpan) UnmarshalledRefs() []OtelSpanRef {
 	refs := []OtelSpanRef{}
 	if err := json.Unmarshal([]byte(item.References), &refs); err != nil {
-		return nil // skip malformed values
+		return []OtelSpanRef{} // skip malformed values
 	}
 	return refs
 }

tests/fixtures/auth.py

@@ -56,11 +56,18 @@ def _login(signoz: types.SigNoz, email: str, password: str) -> str:
     return login.json()["data"]["accessToken"]
 
 
-@pytest.fixture(name="create_user_admin", scope="package")
-def create_user_admin(signoz: types.SigNoz, request: pytest.FixtureRequest, pytestconfig: pytest.Config) -> types.Operation:
-    def create() -> None:
+def register_admin(
+    signoz: types.SigNoz,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+    cache_key: str = "create_user_admin",
+    base_path: str = "",
+) -> types.Operation:
+    """Register the first admin (creates the org), under base_path. Reuse-wrapped."""
+
+    def create() -> types.Operation:
         response = requests.post(
-            signoz.self.host_configs["8080"].get("/api/v1/register"),
+            signoz.self.host_configs["8080"].get(f"{base_path}/api/v1/register"),
             json={
                 "name": USER_ADMIN_NAME,
                 "orgName": "",
@@ -83,7 +90,7 @@ def create_user_admin(signoz: types.SigNoz, request: pytest.FixtureRequest, pyte
     return reuse.wrap(
         request,
         pytestconfig,
-        "create_user_admin",
+        cache_key,
         lambda: types.Operation(name=""),
         create,
         delete,
@@ -91,86 +98,86 @@ def create_user_admin(signoz: types.SigNoz, request: pytest.FixtureRequest, pyte
     )
 
 
-@pytest.fixture(name="get_session_context", scope="function")
-def get_session_context(signoz: types.SigNoz) -> Callable[[str, str], str]:
-    def _get_session_context(email: str) -> str:
+@pytest.fixture(name="create_user_admin", scope="package")
+def create_user_admin(signoz: types.SigNoz, request: pytest.FixtureRequest, pytestconfig: pytest.Config) -> types.Operation:
+    return register_admin(signoz, request, pytestconfig)
+
+
+def session_context_getter(signoz: types.SigNoz, base_path: str = "") -> Callable[[str], dict]:
+    """Build a callable that fetches the session context for an email (under base_path)."""
+
+    def fetch_session_context(email: str) -> dict:
         response = requests.get(
-            signoz.self.host_configs["8080"].get("/api/v2/sessions/context"),
-            params={
-                "email": email,
-                "ref": f"{signoz.self.host_configs['8080'].base()}",
-            },
+            signoz.self.host_configs["8080"].get(f"{base_path}/api/v2/sessions/context"),
+            params={"email": email, "ref": f"{signoz.self.host_configs['8080'].base()}"},
             timeout=5,
         )
-
         assert response.status_code == HTTPStatus.OK
         return response.json()["data"]
 
-    return _get_session_context
+    return fetch_session_context
+
+
+@pytest.fixture(name="get_session_context", scope="function")
+def get_session_context(signoz: types.SigNoz) -> Callable[[str], dict]:
+    return session_context_getter(signoz)
+
+
+def token_getter(signoz: types.SigNoz, base_path: str = "") -> Callable[[str, str], str]:
+    """Build a callable that logs in (email/password) and returns the access token (under base_path)."""
+
+    def fetch_token(email: str, password: str) -> str:
+        context = requests.get(
+            signoz.self.host_configs["8080"].get(f"{base_path}/api/v2/sessions/context"),
+            params={"email": email, "ref": f"{signoz.self.host_configs['8080'].base()}"},
+            timeout=5,
+        )
+        assert context.status_code == HTTPStatus.OK
+        org_id = context.json()["data"]["orgs"][0]["id"]
+
+        login = requests.post(
+            signoz.self.host_configs["8080"].get(f"{base_path}/api/v2/sessions/email_password"),
+            json={"email": email, "password": password, "orgId": org_id},
+            timeout=5,
+        )
+        assert login.status_code == HTTPStatus.OK
+        return login.json()["data"]["accessToken"]
+
+    return fetch_token
 
 
 @pytest.fixture(name="get_token", scope="function")
 def get_token(signoz: types.SigNoz) -> Callable[[str, str], str]:
-    def _get_token(email: str, password: str) -> str:
-        response = requests.get(
-            signoz.self.host_configs["8080"].get("/api/v2/sessions/context"),
-            params={
-                "email": email,
-                "ref": f"{signoz.self.host_configs['8080'].base()}",
-            },
+    return token_getter(signoz)
+
+
+def tokens_getter(signoz: types.SigNoz, base_path: str = "") -> Callable[[str, str], tuple[str, str]]:
+    """Build a callable that logs in and returns the (access, refresh) token pair (under base_path)."""
+
+    def fetch_tokens(email: str, password: str) -> tuple[str, str]:
+        context = requests.get(
+            signoz.self.host_configs["8080"].get(f"{base_path}/api/v2/sessions/context"),
+            params={"email": email, "ref": f"{signoz.self.host_configs['8080'].base()}"},
             timeout=5,
         )
+        assert context.status_code == HTTPStatus.OK
+        org_id = context.json()["data"]["orgs"][0]["id"]
 
-        assert response.status_code == HTTPStatus.OK
-        org_id = response.json()["data"]["orgs"][0]["id"]
-
-        response = requests.post(
-            signoz.self.host_configs["8080"].get("/api/v2/sessions/email_password"),
-            json={
-                "email": email,
-                "password": password,
-                "orgId": org_id,
-            },
+        login = requests.post(
+            signoz.self.host_configs["8080"].get(f"{base_path}/api/v2/sessions/email_password"),
+            json={"email": email, "password": password, "orgId": org_id},
             timeout=5,
         )
+        assert login.status_code == HTTPStatus.OK
+        data = login.json()["data"]
+        return data["accessToken"], data["refreshToken"]
 
-        assert response.status_code == HTTPStatus.OK
-        return response.json()["data"]["accessToken"]
-
-    return _get_token
+    return fetch_tokens
 
 
 @pytest.fixture(name="get_tokens", scope="function")
 def get_tokens(signoz: types.SigNoz) -> Callable[[str, str], tuple[str, str]]:
-    def _get_tokens(email: str, password: str) -> str:
-        response = requests.get(
-            signoz.self.host_configs["8080"].get("/api/v2/sessions/context"),
-            params={
-                "email": email,
-                "ref": f"{signoz.self.host_configs['8080'].base()}",
-            },
-            timeout=5,
-        )
-
-        assert response.status_code == HTTPStatus.OK
-        org_id = response.json()["data"]["orgs"][0]["id"]
-
-        response = requests.post(
-            signoz.self.host_configs["8080"].get("/api/v2/sessions/email_password"),
-            json={
-                "email": email,
-                "password": password,
-                "orgId": org_id,
-            },
-            timeout=5,
-        )
-
-        assert response.status_code == HTTPStatus.OK
-        access_token = response.json()["data"]["accessToken"]
-        refresh_token = response.json()["data"]["refreshToken"]
-        return access_token, refresh_token
-
-    return _get_tokens
+    return tokens_getter(signoz)
 
 
 @pytest.fixture(name="apply_license", scope="package")
@@ -270,6 +277,7 @@ def add_license(
     signoz: types.SigNoz,
     make_http_mocks: Callable[[types.TestContainerDocker, list[Mapping]], None],
     get_token: Callable[[str, str], str],  # pylint: disable=redefined-outer-name
+    base_path: str = "",
 ) -> None:
     make_http_mocks(
         signoz.zeus,
@@ -308,7 +316,7 @@ def add_license(
     access_token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
 
     response = requests.post(
-        url=signoz.self.host_configs["8080"].get("/api/v3/licenses"),
+        url=signoz.self.host_configs["8080"].get(f"{base_path}/api/v3/licenses"),
         json={"key": "secret-key"},
         headers={"Authorization": "Bearer " + access_token},
         timeout=5,

tests/integration/testdata/inframonitoring/clusters_filter_dataset.jsonl

@@ -0,0 +1,288 @@
+{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-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": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-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": "web-gcp-prod-acc-c1-n1", "k8s.node.uid": "web-gcp-prod-acc-c1-n1-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}
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tests/integration/testdata/inframonitoring/clusters_groupby.jsonl

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

@@ -0,0 +1,36 @@
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tests/integration/testdata/inframonitoring/clusters_value_accuracy.jsonl

@@ -0,0 +1,90 @@
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+{"metric_name":"k8s.node.memory.working_set","labels":{"k8s.node.name":"acc-c2-n2","k8s.node.uid":"acc-c2-n2-uid","k8s.cluster.name":"acc-cluster-2"},"timestamp":"2025-01-10T10:00:00+00:00","value":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"metric_name":"k8s.node.memory.working_set","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":2000000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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+{"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/hosts_filter_dataset.jsonl

@@ -0,0 +1,144 @@
+{"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": "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": "prod-linux-1", "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": "prod-linux-1", "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": "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.cpu.time", "labels": {"host.name": "prod-linux-1", "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": "prod-linux-1", "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": "prod-linux-1", "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.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}
+{"metric_name": "system.memory.usage", "labels": {"host.name": "prod-linux-1", "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": "prod-linux-1", "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": "prod-linux-1", "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": "prod-linux-1", "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": "prod-linux-1", "os.type": "linux", "state": "cached"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1500000000, "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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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}
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+{"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}
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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.cpu.time","labels":{"host.name":"acc-h1","os.type":"linux","state":"wait"},"timestamp":"2025-01-10T10:00:00+00:00","value":10,"temporality":"Cumulative","type_":"Sum","is_monotonic":true}
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+{"metric_name":"system.cpu.time","labels":{"host.name":"acc-h2","os.type":"linux","state":"user"},"timestamp":"2025-01-10T10:00:00+00:00","value":80,"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.memory.usage","labels":{"host.name":"acc-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":"acc-h2","os.type":"linux","state":"used"},"timestamp":"2025-01-10T10:04:00+00:00","value":3500000000,"temporality":"Unspecified","type_":"Sum","is_monotonic":false}
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+{"metric_name":"system.memory.usage","labels":{"host.name":"acc-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":"acc-h2","os.type":"linux","state":"cached"},"timestamp":"2025-01-10T10:02:00+00:00","value":1500000000,"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}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-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":"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}
+{"metric_name":"system.filesystem.usage","labels":{"host.name":"acc-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":"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 +1,144 @@
+{"metric_name": "k8s.pod.cpu.usage", "labels": {"k8s.pod.uid": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "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": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "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": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "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": "web-a-prod-acc-p1a-uid", "k8s.pod.name": "web-a-prod-acc-p1a", "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}
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+{"metric_name": "k8s.pod.phase", "labels": {"k8s.pod.uid": "api-b-dev-acc-p1b-uid", "k8s.pod.name": "api-b-dev-acc-p1b", "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": "api-b-dev-acc-p1b-uid", "k8s.pod.name": "api-b-dev-acc-p1b", "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_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}
+{"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":"2025-01-10T10:00:00+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":"2025-01-10T10:02:00+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}
+{"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":"2025-01-10T10:00:00+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":"2025-01-10T10:02:00+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}
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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.memory.working_set","labels":{"k8s.pod.uid":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.namespace.name":"pp-ns","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":"pp-fail-1-uid","k8s.pod.name":"pp-fail-1","k8s.namespace.name":"pp-ns","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-fail-1-uid","k8s.pod.name":"pp-fail-1","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-1-uid","k8s.pod.name":"pp-fail-1","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}
+{"metric_name":"k8s.pod.cpu.usage","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":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","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":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","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":100000000.0,"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":"2025-01-10T10:00:00+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":"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}
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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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+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"trans-n","k8s.node.uid":"trans-n-uid","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.node.allocatable_cpu","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":4.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/nodes_filter_dataset.jsonl

@@ -0,0 +1,144 @@
+{"metric_name": "k8s.node.cpu.usage", "labels": {"k8s.node.name": "web-a-us-1", "k8s.node.uid": "f-w-aus-1-uid", "k8s.cluster.name": "cluster-a", "zone": "us"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1.0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
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tests/integration/testdata/inframonitoring/nodes_groupby.jsonl

@@ -0,0 +1,72 @@
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+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pod-gb-b-us-uid","k8s.pod.name":"pod-gb-b-us","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-us","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.node.cpu.usage","labels":{"k8s.node.name":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"gb-b-eu","k8s.node.uid":"gb-beu-uid","k8s.cluster.name":"gb-cluster-b","zone":"eu"},"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":"pod-gb-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","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-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","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-b-eu-uid","k8s.pod.name":"pod-gb-b-eu","k8s.namespace.name":"ns-x","k8s.node.name":"gb-b-eu","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/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}
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tests/integration/testdata/inframonitoring/nodes_pagination.jsonl

@@ -0,0 +1,108 @@
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+{"metric_name":"k8s.node.memory.working_set","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":1000000000.0,"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":"2025-01-10T10:00:00+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":"2025-01-10T10:02:00+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}
+{"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":"2025-01-10T10:04:00+00:00","value":2,"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":"2025-01-10T10:00:00+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}
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+{"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.node.condition_ready","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,"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":"2025-01-10T10:00:00+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}
+{"metric_name":"k8s.node.cpu.usage","labels":{"k8s.node.name":"acc-n2","k8s.node.uid":"acc-n2-uid","k8s.cluster.name":"cluster-y"},"timestamp":"2025-01-10T10:02:00+00:00","value":3.0,"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":"2025-01-10T10:04:00+00:00","value":3.0,"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":"2025-01-10T10:00:00+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":"2025-01-10T10:02:00+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}
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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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+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu.usage","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.cpu_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":"2025-01-10T10:00:00+00:00","value":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory.working_set","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":100000000.0,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_request_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":"2025-01-10T10:00:00+00:00","value":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.memory_limit_utilization","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":0.5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
+{"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-p4-uid","k8s.pod.name":"g-p4","k8s.namespace.name":"gns-b","k8s.node.name":"node-b","k8s.deployment.name":"gdep-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":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}
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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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