chore: add todos

.github/workflows/integrationci.yaml

@@ -56,6 +56,8 @@ jobs:
           - querier_json_body
           - querier_skip_resource_fingerprint
           - ttl
+          - clickhousecluster
+          - metricreduction
         sqlstore-provider:
           - postgres
           - sqlite

docs/api/openapi.yml

@@ -4261,8 +4261,6 @@ components:
           $ref: '#/components/schemas/InframonitoringtypesNodeCountsByReadiness'
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
       required:
       - clusterName
       - clusterCPU
@@ -4271,7 +4269,6 @@ components:
       - clusterMemoryAllocatable
       - nodeCountsByReadiness
       - podCountsByPhase
-      - podCountsByStatus
       - meta
       type: object
     InframonitoringtypesClusters:
@@ -4327,8 +4324,6 @@ components:
           type: object
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
       required:
       - daemonSetName
       - daemonSetCPU
@@ -4340,7 +4335,6 @@ components:
       - desiredNodes
       - currentNodes
       - podCountsByPhase
-      - podCountsByStatus
       - meta
       type: object
     InframonitoringtypesDaemonSets:
@@ -4396,8 +4390,6 @@ components:
           type: object
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
       required:
       - deploymentName
       - deploymentCPU
@@ -4409,7 +4401,6 @@ components:
       - desiredPods
       - availablePods
       - podCountsByPhase
-      - podCountsByStatus
       - meta
       type: object
     InframonitoringtypesDeployments:
@@ -4542,8 +4533,6 @@ components:
           type: object
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
         successfulPods:
           type: integer
       required:
@@ -4559,7 +4548,6 @@ components:
       - failedPods
       - successfulPods
       - podCountsByPhase
-      - podCountsByStatus
       - meta
       type: object
     InframonitoringtypesJobs:
@@ -4650,14 +4638,11 @@ components:
           type: string
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
       required:
       - namespaceName
       - namespaceCPU
       - namespaceMemory
       - podCountsByPhase
-      - podCountsByStatus
       - meta
       type: object
     InframonitoringtypesNamespaces:
@@ -4723,14 +4708,11 @@ components:
           type: string
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
       required:
       - nodeName
       - condition
       - nodeCountsByReadiness
       - podCountsByPhase
-      - podCountsByStatus
       - nodeCPU
       - nodeCPUAllocatable
       - nodeMemory
@@ -4776,64 +4758,6 @@ components:
       - failed
       - unknown
       type: object
-    InframonitoringtypesPodCountsByStatus:
-      properties:
-        completed:
-          type: integer
-        containerCannotRun:
-          type: integer
-        containerCreating:
-          type: integer
-        crashLoopBackOff:
-          type: integer
-        createContainerConfigError:
-          type: integer
-        errImagePull:
-          type: integer
-        error:
-          type: integer
-        evicted:
-          type: integer
-        failed:
-          type: integer
-        imagePullBackOff:
-          type: integer
-        nodeAffinity:
-          type: integer
-        nodeLost:
-          type: integer
-        oomKilled:
-          type: integer
-        pending:
-          type: integer
-        running:
-          type: integer
-        shutdown:
-          type: integer
-        unexpectedAdmissionError:
-          type: integer
-        unknown:
-          type: integer
-      required:
-      - pending
-      - running
-      - failed
-      - unknown
-      - crashLoopBackOff
-      - imagePullBackOff
-      - errImagePull
-      - createContainerConfigError
-      - containerCreating
-      - oomKilled
-      - completed
-      - error
-      - containerCannotRun
-      - evicted
-      - nodeAffinity
-      - nodeLost
-      - shutdown
-      - unexpectedAdmissionError
-      type: object
     InframonitoringtypesPodPhase:
       enum:
       - pending
@@ -4864,8 +4788,6 @@ components:
           type: number
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
         podMemory:
           format: double
           type: number
@@ -4877,11 +4799,6 @@ components:
           type: number
         podPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodPhase'
-        podRestarts:
-          format: int64
-          type: integer
-        podStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodStatus'
         podUID:
           type: string
       required:
@@ -4894,34 +4811,9 @@ components:
       - podMemoryLimit
       - podPhase
       - podCountsByPhase
-      - podStatus
-      - podCountsByStatus
-      - podRestarts
       - podAge
       - meta
       type: object
-    InframonitoringtypesPodStatus:
-      enum:
-      - pending
-      - running
-      - failed
-      - unknown
-      - crashloopbackoff
-      - imagepullbackoff
-      - errimagepull
-      - createcontainerconfigerror
-      - containercreating
-      - oomkilled
-      - completed
-      - error
-      - containercannotrun
-      - evicted
-      - nodeaffinity
-      - nodelost
-      - shutdown
-      - unexpectedadmissionerror
-      - no_data
-      type: string
     InframonitoringtypesPods:
       properties:
         endTimeBeforeRetention:
@@ -5220,8 +5112,6 @@ components:
           type: object
         podCountsByPhase:
           $ref: '#/components/schemas/InframonitoringtypesPodCountsByPhase'
-        podCountsByStatus:
-          $ref: '#/components/schemas/InframonitoringtypesPodCountsByStatus'
         statefulSetCPU:
           format: double
           type: number
@@ -5253,7 +5143,6 @@ components:
       - desiredPods
       - currentPods
       - podCountsByPhase
-      - podCountsByStatus
       - meta
       type: object
     InframonitoringtypesStatefulSets:

docs/contributing/go/authz.md

@@ -1,149 +0,0 @@
-# Authz
-
-SigNoz uses [OpenFGA](https://openfga.dev/), a relationship-based access control (ReBAC) system, to authorize every request. Transactions are never attached to users directly — they are attached to **roles** (as relationship tuples in OpenFGA), and users or service accounts (principals) are made **assignees** of those roles. The central interface is `AuthZ` in [pkg/authz/authz.go](/pkg/authz/authz.go), backed by an embedded OpenFGA server in [pkg/authz/openfgaserver](/pkg/authz/openfgaserver/server.go).
-
-As a feature author, you will rarely touch OpenFGA directly. You interact with two layers:
-
-1. **The registries** in [pkg/types/coretypes](/pkg/types/coretypes) — where every resource, verb, and managed-role permission is declared in code.
-2. **The route wiring** in [pkg/apiserver/signozapiserver](/pkg/apiserver/signozapiserver) — where each route declares what resource it touches and which verb it needs, and the middleware turns that into a check.
-
-## What are the building blocks?
-
-### Type
-
-A `Type` is the coarse FGA type of a resource. The set is finite and defined in [pkg/types/coretypes/registry_type.go](/pkg/types/coretypes/registry_type.go): `user`, `serviceaccount`, `anonymous`, `role`, `organization`, `metaresource`, and `telemetryresource`. Each type carries a selector regex (what a valid ID looks like) and the verbs allowed on it.
-
-Almost every feature resource is a `metaresource` (dashboards, rules, pipelines, ...) or a `telemetryresource` (logs, traces, metrics). You should almost never need a new type.
-
-### Verb
-
-A `Verb` is the action being authorized. All verbs are defined in [pkg/types/coretypes/registry_verb.go](/pkg/types/coretypes/registry_verb.go): `create`, `read`, `update`, `delete`, `list`, `assignee`, `attach`, and `detach`.
-
-- `assignee` is special: it is the membership relation between a subject and a role ("user X is an assignee of role Y"), not an action a route checks for.
-- `attach`/`detach` authorize linking two resources together (e.g. assigning a role to a service account).
-
-### Kind
-
-A `Kind` is the fine-grained name of your resource — `dashboard`, `rule`, `quick-filter`. Kinds are registered in [pkg/types/coretypes/registry_kind.go](/pkg/types/coretypes/registry_kind.go). A kind rides on top of an existing type, so adding one does **not** require any OpenFGA schema change.
-
-### Resource
-
-A `Resource` ties a type and a kind together and knows how to render itself as an FGA object string. The interface lives in [pkg/types/coretypes/resource.go](/pkg/types/coretypes/resource.go):
-
-```go
-type Resource interface {
-    Type() Type
-    Kind() Kind
-    Prefix(orgId valuer.UUID) string      // metaresource:organization/<orgID>/dashboard
-    Object(orgId valuer.UUID, selector string) string
-    Scope(verb Verb) string               // dashboard:read
-    AllowedVerbs() []Verb
-}
-```
-
-All resources are registered in [pkg/types/coretypes/registry_resource.go](/pkg/types/coretypes/registry_resource.go) using constructors like `NewResourceMetaResource(KindDashboard)` or `NewResourceTelemetryResource(KindLogs)`.
-
-### Selector
-
-A `Selector` identifies *which* instance(s) of a resource a check is about — a UUID, a role name, or the wildcard `*`. A `SelectorFunc` maps the extracted resource ID to selectors at request time. Two prebuilt ones cover most routes ([pkg/types/coretypes/selector.go](/pkg/types/coretypes/selector.go)):
-
-- `WildcardSelector` — the check is against all instances of the resource (`create`, `list`).
-- `IDSelector` — the check is against the specific instance *or* the wildcard (`read`, `update`, `delete` of one object). A subject authorized on `*` is authorized on every instance.
-
-When the ID in the request is not what FGA needs (e.g. routes receive a role UUID but FGA objects use role names), write a custom `SelectorFunc` — see `roleSelector` in [pkg/apiserver/signozapiserver/serviceaccount.go](/pkg/apiserver/signozapiserver/serviceaccount.go).
-
-### Roles, transactions, and tuples
-
-SigNoz ships four managed roles, declared in [pkg/types/coretypes/registry_managed_role.go](/pkg/types/coretypes/registry_managed_role.go): `signoz-admin`, `signoz-editor`, `signoz-viewer`, and `signoz-anonymous`. Their permissions are declared in code as `Transaction`s (a verb on an object) in `ManagedRoleToTransactions` — this map is the single source of truth for what each managed role can do.
-
-At organization bootstrap, `CreateManagedRoles` and `CreateManagedUserRoleTransactions` (see [pkg/authz/authz.go](/pkg/authz/authz.go)) persist the role rows and write one OpenFGA tuple per transaction, linking `role:organization/<orgID>/role/<name>#assignee` to each permitted object. Users and service accounts are then granted roles via `Grant`/`Revoke`, which writes `assignee` tuples. Custom roles (enterprise) are managed through the roles API in [pkg/authz/signozauthzapi/handler.go](/pkg/authz/signozauthzapi/handler.go).
-
-### Schema
-
-The OpenFGA authorization model is a hand-written DSL, embedded at build time: [pkg/authz/openfgaschema/base.fga](/pkg/authz/openfgaschema/base.fga) for community and [ee/authz/openfgaschema/base.fga](/ee/authz/openfgaschema/base.fga) for enterprise. The community model only supports role assignment; the enterprise model defines per-verb relations on every type, enabling genuine per-resource checks. This split is why `CheckWithTupleCreation` behaves differently per edition (see [How does a check work at runtime?](#how-does-a-check-work-at-runtime)). You only touch these files when introducing a brand-new **type** — never for a new kind.
-
-## How do I add authz to my feature?
-
-### 1. Register the kind
-
-Add your kind in [pkg/types/coretypes/registry_kind.go](/pkg/types/coretypes/registry_kind.go) and append it to `Kinds`:
-
-```go
-KindThing = MustNewKind("thing")
-```
-
-### 2. Register the resource
-
-Add the resource in [pkg/types/coretypes/registry_resource.go](/pkg/types/coretypes/registry_resource.go) and append it to `Resources`:
-
-```go
-ResourceMetaResourceThing = NewResourceMetaResource(KindThing)
-```
-
-Pass an explicit verb list to `NewResourceMetaResource` only if your resource supports fewer verbs than the type default.
-
-### 3. Grant permissions to managed roles
-
-Decide what each managed role can do with your resource and add the transactions in [pkg/types/coretypes/registry_managed_role.go](/pkg/types/coretypes/registry_managed_role.go):
-
-```go
-// thing — editors manage, viewers read
-{Verb: VerbCreate, Object: *MustNewObject(ResourceRef{Type: TypeMetaResource, Kind: KindThing}, WildCardSelectorString)},
-```
-
-The convention so far: admin gets everything, editor gets CRUD on day-to-day observability resources, viewer gets `read`/`list`, anonymous gets nothing (except public dashboards).
-
-### 4. Wire the route
-
-Register the route in [pkg/apiserver/signozapiserver](/pkg/apiserver/signozapiserver), wrapping your handler with `CheckResources` and declaring what the route touches via a `ResourceDef` ([pkg/http/handler/resourcedef.go](/pkg/http/handler/resourcedef.go)). A complete example from [pkg/apiserver/signozapiserver/serviceaccount.go](/pkg/apiserver/signozapiserver/serviceaccount.go):
-
-```go
-router.Handle("/api/v1/service_accounts", handler.New(
-    provider.authzMiddleware.CheckResources(provider.serviceAccountHandler.Create, authtypes.SigNozAdminRoleName),
-    handler.OpenAPIDef{
-        ID: "CreateServiceAccount",
-        // ...
-        SecuritySchemes: newScopedSecuritySchemes([]string{coretypes.ResourceServiceAccount.Scope(coretypes.VerbCreate)}),
-    },
-    handler.WithResourceDefs(handler.BasicResourceDef{
-        Resource: coretypes.ResourceServiceAccount,
-        Verb:     coretypes.VerbCreate,
-        Category: coretypes.ActionCategoryAccessControl,
-        ID:       coretypes.ResponseJSONPath("data.id"),
-        Selector: coretypes.WildcardSelector,
-    }),
-)).Methods(http.MethodPost)
-```
-
-The pieces:
-
-- **`CheckResources(handlerFn, roles...)`** — the resource-aware authorization wrapper from [pkg/http/middleware/authz.go](/pkg/http/middleware/authz.go). The role list is the community-edition fallback: which managed roles may call this route when per-resource checks are unavailable.
-- **`ResourceDef`** — declares the resource, verb, audit category, how to extract the instance ID, and how to turn that ID into selectors. ID extractors live in [pkg/types/coretypes/extractor.go](/pkg/types/coretypes/extractor.go): `PathParam("id")`, `BodyJSONPath("data.id")`, `BodyJSONArray("ids")`, and `ResponseJSONPath("data.id")` for IDs only known after the handler runs (e.g. `create`).
-- **`SecuritySchemes`** — advertises the required scope (`resource.Scope(verb)`, e.g. `serviceaccount:create`) in the OpenAPI spec.
-
-For routes that link two resources, use `AttachDetachSiblingResourceDef` (both sides are authz-checked, e.g. attaching a role to a service account requires `attach` on **both** the service account and the role). For parent-child routes (e.g. creating an API key under a service account), both sides are checked too, but with different verbs: declare a `BasicResourceDef` checking the child with `create`/`delete`, alongside an `AttachDetachParentChildResourceDef` checking the parent with `attach`/`detach` (within that def the child is only recorded for audit) — see the `/api/v1/service_accounts/{id}/keys` route in [pkg/apiserver/signozapiserver/serviceaccount.go](/pkg/apiserver/signozapiserver/serviceaccount.go).
-
-Prefer `CheckResources` with a `ResourceDef` for anything resource-shaped. The older coarse gates `ViewAccess`/`EditAccess`/`AdminAccess` only check "does the caller hold one of these roles" and give up per-resource granularity; `OpenAccess` performs no authorization (authentication still applies); `CheckWithoutClaims` serves anonymous routes such as public dashboards.
-
-### 5. Backfill existing organizations (only if needed)
-
-Managed-role tuples are written from the registry at organization creation, so **new resources need no migration for new organizations**. If existing organizations must get the new permissions, add a migration in [pkg/sqlmigration](/pkg/sqlmigration) that inserts the tuples — see [083_add_role_crud_tuples.go](/pkg/sqlmigration/083_add_role_crud_tuples.go) for the pattern.
-
-## How does a check work at runtime?
-
-1. The resource middleware ([pkg/http/middleware/resource.go](/pkg/http/middleware/resource.go)) runs on every request. It reads the matched handler's `ResourceDef`s, extracts the resource IDs from path/body, and stores the resolved resources in the request context.
-2. `CheckResources` reads them back, runs each `SelectorFunc`, and calls `AuthZ.CheckWithTupleCreation(ctx, claims, orgID, relation, resource, selectors, roleSelectors)`.
-3. What happens next depends on the edition:
-   - **Community** ([pkg/authz/openfgaserver/server.go](/pkg/authz/openfgaserver/server.go)) ignores the resource and selectors and only checks whether the subject is an `assignee` of one of the allowed roles — a plain role gate.
-   - **Enterprise** ([ee/authz/openfgaserver/server.go](/ee/authz/openfgaserver/server.go)) builds tuples via `authtypes.NewTuples` — subject `user:organization/<orgID>/user/<userID>`, relation `create`, object `serviceaccount:organization/<orgID>/serviceaccount/*` — and batch-checks them against OpenFGA: genuine per-resource authorization, including custom roles.
-
-Because both paths go through the same middleware and the same `ResourceDef` declarations, a route wired once works correctly in both editions.
-
-## What should I remember?
-
-- Declare authz in the registries ([pkg/types/coretypes](/pkg/types/coretypes)), not in migrations — tuples for new organizations are derived from code at bootstrap.
-- A new kind never needs an OpenFGA schema change; only a new type does, and then **both** [pkg/authz/openfgaschema/base.fga](/pkg/authz/openfgaschema/base.fga) and [ee/authz/openfgaschema/base.fga](/ee/authz/openfgaschema/base.fga) must be updated together.
-- Prefer `CheckResources` + `ResourceDef` over the coarse `ViewAccess`/`EditAccess`/`AdminAccess` gates for new routes.
-- Use `WildcardSelector` for `create`/`list`, `IDSelector` for instance operations, and a custom `SelectorFunc` when the request ID is not the FGA selector.
-- Linking routes check **both** sides: peers via `AttachDetachSiblingResourceDef` (same verb on both), parent-child via a `BasicResourceDef` on the child (`create`/`delete`) paired with an `AttachDetachParentChildResourceDef` on the parent (`attach`/`detach`).
-- Changing `ManagedRoleToTransactions` only affects organizations created afterwards — add a [pkg/sqlmigration](/pkg/sqlmigration) migration to backfill existing ones.

docs/contributing/go/readme.md

@@ -11,7 +11,6 @@ We adhere to three primary style guides as our foundation:
 We **recommend** (almost enforce) reviewing these guides before contributing to the codebase. They provide valuable insights into writing idiomatic Go code and will help you understand our approach to backend development. In addition, we have a few additional rules that make certain areas stricter than the above which can be found in area-specific files in this package:
 
 - [Abstractions](abstractions.md) - When to introduce new types and intermediate representations
-- [Authz](authz.md) - Authorization, roles, and access control
 - [Errors](errors.md) - Structured error handling
 - [Endpoint](endpoint.md) - HTTP endpoint patterns
 - [Flagger](flagger.md) - Feature flag patterns

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

@@ -5704,81 +5704,6 @@ export interface InframonitoringtypesPodCountsByPhaseDTO {
 	unknown: number;
 }
 
-export interface InframonitoringtypesPodCountsByStatusDTO {
-	/**
-	 * @type integer
-	 */
-	completed: number;
-	/**
-	 * @type integer
-	 */
-	containerCannotRun: number;
-	/**
-	 * @type integer
-	 */
-	containerCreating: number;
-	/**
-	 * @type integer
-	 */
-	crashLoopBackOff: number;
-	/**
-	 * @type integer
-	 */
-	createContainerConfigError: number;
-	/**
-	 * @type integer
-	 */
-	errImagePull: number;
-	/**
-	 * @type integer
-	 */
-	error: number;
-	/**
-	 * @type integer
-	 */
-	evicted: number;
-	/**
-	 * @type integer
-	 */
-	failed: number;
-	/**
-	 * @type integer
-	 */
-	imagePullBackOff: number;
-	/**
-	 * @type integer
-	 */
-	nodeAffinity: number;
-	/**
-	 * @type integer
-	 */
-	nodeLost: number;
-	/**
-	 * @type integer
-	 */
-	oomKilled: number;
-	/**
-	 * @type integer
-	 */
-	pending: number;
-	/**
-	 * @type integer
-	 */
-	running: number;
-	/**
-	 * @type integer
-	 */
-	shutdown: number;
-	/**
-	 * @type integer
-	 */
-	unexpectedAdmissionError: number;
-	/**
-	 * @type integer
-	 */
-	unknown: number;
-}
-
 export interface InframonitoringtypesClusterRecordDTO {
 	/**
 	 * @type number
@@ -5810,7 +5735,6 @@ export interface InframonitoringtypesClusterRecordDTO {
 	meta: InframonitoringtypesClusterRecordDTOMeta;
 	nodeCountsByReadiness: InframonitoringtypesNodeCountsByReadinessDTO;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 }
 
 export enum InframonitoringtypesResponseTypeDTO {
@@ -5914,7 +5838,6 @@ export interface InframonitoringtypesDaemonSetRecordDTO {
 	 */
 	meta: InframonitoringtypesDaemonSetRecordDTOMeta;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 }
 
 export interface InframonitoringtypesDaemonSetsDTO {
@@ -5992,7 +5915,6 @@ export interface InframonitoringtypesDeploymentRecordDTO {
 	 */
 	meta: InframonitoringtypesDeploymentRecordDTOMeta;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 }
 
 export interface InframonitoringtypesDeploymentsDTO {
@@ -6159,7 +6081,6 @@ export interface InframonitoringtypesJobRecordDTO {
 	 */
 	meta: InframonitoringtypesJobRecordDTOMeta;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 	/**
 	 * @type integer
 	 */
@@ -6213,7 +6134,6 @@ export interface InframonitoringtypesNamespaceRecordDTO {
 	 */
 	namespaceName: string;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 }
 
 export interface InframonitoringtypesNamespacesDTO {
@@ -6280,7 +6200,6 @@ export interface InframonitoringtypesNodeRecordDTO {
 	 */
 	nodeName: string;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 }
 
 export interface InframonitoringtypesNodesDTO {
@@ -6318,27 +6237,6 @@ export type InframonitoringtypesPodRecordDTOMetaAnyOf = {
 export type InframonitoringtypesPodRecordDTOMeta =
 	InframonitoringtypesPodRecordDTOMetaAnyOf | null;
 
-export enum InframonitoringtypesPodStatusDTO {
-	pending = 'pending',
-	running = 'running',
-	failed = 'failed',
-	unknown = 'unknown',
-	crashloopbackoff = 'crashloopbackoff',
-	imagepullbackoff = 'imagepullbackoff',
-	errimagepull = 'errimagepull',
-	createcontainerconfigerror = 'createcontainerconfigerror',
-	containercreating = 'containercreating',
-	oomkilled = 'oomkilled',
-	completed = 'completed',
-	error = 'error',
-	containercannotrun = 'containercannotrun',
-	evicted = 'evicted',
-	nodeaffinity = 'nodeaffinity',
-	nodelost = 'nodelost',
-	shutdown = 'shutdown',
-	unexpectedadmissionerror = 'unexpectedadmissionerror',
-	no_data = 'no_data',
-}
 export interface InframonitoringtypesPodRecordDTO {
 	/**
 	 * @type object,null
@@ -6365,7 +6263,6 @@ export interface InframonitoringtypesPodRecordDTO {
 	 */
 	podCPURequest: number;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 	/**
 	 * @type number
 	 * @format double
@@ -6382,12 +6279,6 @@ export interface InframonitoringtypesPodRecordDTO {
 	 */
 	podMemoryRequest: number;
 	podPhase: InframonitoringtypesPodPhaseDTO;
-	/**
-	 * @type integer
-	 * @format int64
-	 */
-	podRestarts: number;
-	podStatus: InframonitoringtypesPodStatusDTO;
 	/**
 	 * @type string
 	 */
@@ -6705,7 +6596,6 @@ export interface InframonitoringtypesStatefulSetRecordDTO {
 	 */
 	meta: InframonitoringtypesStatefulSetRecordDTOMeta;
 	podCountsByPhase: InframonitoringtypesPodCountsByPhaseDTO;
-	podCountsByStatus: InframonitoringtypesPodCountsByStatusDTO;
 	/**
 	 * @type number
 	 * @format double

frontend/src/assets/Logos/cassandra.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" fill="#1287b1" viewBox="0 0 24 24"><title>Apache Cassandra</title><path d="M10.374 10.53a3 3 0 0 1-.428-.222l.555.143c0 .02-.01.036-.01.055l-.117.025zm-.283 1.506-.315.253.852-1.079-1.078.391c.002.017.009.033.009.05a.57.57 0 0 1-.184.42q.154.327.375.616a3.2 3.2 0 0 1 .34-.651zm.717-2.347-.652-.82a.43.43 0 0 1-.506.162c-.054.073-.083.162-.13.24l1.258.463zm-1.666.444c-.07.314-.087.637-.05.956a.57.57 0 0 1 .451.475l.946-.606c-.067-.022-.126-.06-.191-.088l-1.119-.08.64-.14a3.2 3.2 0 0 1-.668-.554zM20.1 11.648c-.164.202.833 1.022.833 1.022s-1.654-1.022-2.234-.72c-.278.144.574.811 1.175 1.242-.428-.274-.982-.571-1.175-.408-.328.277 1.565 2.549 1.565 2.549s-2.145-2.322-2.36-2.209c-.214.114.593 1.224.593 1.224s-1.06-1.16-1.35-.959c-.29.202 1.514 3.218 1.514 3.218s-1.956-3.091-2.763-2.574c1.268 2.782.795 3.18.795 3.18s-.162-2.839-1.742-2.764c-.795.038.379 2.12.379 2.12s-1.08-1.902-1.8-1.864c1.326 2.51.854 3.53.854 3.53s.219-2.143-1.58-3.336c.682.606-.427 3.336-.427 3.336s.976-4.023-.719-3.256c-.268.121-.019 2.007-.019 2.007s-.34-2.158-.851-2.045c-.298.066-1.893 2.99-1.893 2.99s1.306-3.16.908-3.027c-.29.096-.833 1.4-.833 1.4s.265-1.287 0-1.363c-.264-.075-1.74 1.363-1.74 1.363s1.097-1.287.908-1.552c-.287-.402-.623-.42-1.022-.265-.581.226-1.363 1.287-1.363 1.287s.78-1.074.643-1.476c-.219-.647-2.46 1.249-2.46 1.249s1.325-1.25 1.022-1.514c-.303-.265-1.947-.183-2.46-.185-1.515-.004-2.039-.36-2.498-.724 1.987.997 3.803-.151 6.094.494l.21.06c-1.3-.558-2.144-1.378-2.226-2.354-.036-.416.074-.827.297-1.222.619-.4 1.29-.773 2.06-1.095a4 4 0 0 0-.064.698c0 2.44 2.203 4.417 4.92 4.417s4.92-1.977 4.92-4.417c0-.45-.083-.881-.223-1.29 1.431.404 2.45.968 3.132 1.335.022.092.045.184.053.279.024.274-.018.547-.11.814.095-.147.198-.288.28-.445.367-.997 1.855.227 1.855.227s-1.085-.454-1.06-.24c.026.215 1.628.96 1.628.96s-1.45-.455-1.362-.114c.088.34 1.817 1.703 1.817 1.703s-1.956-1.489-2.12-1.287zm-7.268 2.65.042-.008-.06.01zM9.256 9.753c.12.13.26.234.396.343l.927-.029-1.064-.788c-.093.154-.195.303-.26.474Zm10.62 3.44c.3.215.54.373.54.373s-.24-.181-.54-.374zM7.507 8.617c-.14.229-.214.492-.215.76a3.99 3.99 0 0 0 2.358 3.64q0-.008.003-.014a3.2 3.2 0 0 1-.58-.788c-.648.099-.926-.794-.336-1.08a3.2 3.2 0 0 1 .138-1.388 3.16 3.16 0 0 1-.52-1.36q-.444.105-.848.23m1.488.82q.163-.36.402-.661a.435.435 0 0 1 .568-.557c.077-.059.166-.099.248-.15a16 16 0 0 0-1.727.284c.114.388.272.76.509 1.084m2.285 3.928c1.4 0 2.633-.723 3.344-1.816a3.4 3.4 0 0 0-1.265-.539l-.297-.023.916.9-1.197-.467.704 1.078-1.074-.832-.012.006.347 1.278-.596-1.134-.098 1.33-.401-1.326-.472 1.261.114-1.359-.015-.008-.814 1.154.286-1.067c-.34.322-.605.713-.781 1.146q.143.153.303.29.484.126 1.008.128m10.145-4.434c.971-.567 1.716-1.955 1.716-1.955s-1.893 1.955-3.205 1.665c1.186-.934 1.766-2.549 1.766-2.549s-1.506 2.325-2.448 2.423c1.086-.959 1.54-2.322 1.54-2.322s-1.237 1.817-2.196 1.944c1.287-1.161 1.338-1.893 1.338-1.893s-1.781 2.302-2.499 1.943c.858-.934 1.439-2.12 1.439-2.12s-1.489 2.019-1.893 1.69c-.277-.05.454-.958.454-.958s-.908.807-1.16.606c.454-.278 1.236-1.64 1.236-1.64S16 7.505 15.621 7.304l.731-1.483s-.73 1.483-1.715 1.23c.454-.58.63-1.112.63-1.112s-.756 1.213-1.69.885c-.22-.077.273-.635.273-.635s-.626.61-1.055.534c-.43-.076.025-.858.025-.858s-.757 1.186-.908 1.136.075-.833.075-.833-.555.908-.858.858 0-.934 0-.934-.328.984-.58.909c-.252-.076-.303-.656-.303-.656s-.068.788-.429.858c-2.725.53-5.728 1.69-9.489 5.45C3.887 10.738 5.3 7.91 11.962 7.659c5.044-.191 7.399 2.137 8.177 2.17C22.51 9.93 24 7.633 24 7.633s-1.489 1.716-2.574 1.3zm-7.74.872-.608.464v.001l.054.003a3.4 3.4 0 0 0 .554-.468m1.583-.426c0-.536-.237-.929-.594-1.217a3.2 3.2 0 0 1-.165.825.393.393 0 0 1-.328.681c-.154.233-.34.445-.549.63l.661.034-.995.237c-.025.018-.045.041-.07.058a3.2 3.2 0 0 1 1.536.691c.32-.574.504-1.235.504-1.94zM10.99 7.996a3.5 3.5 0 0 0-.785.46.43.43 0 0 1-.013.357l.885.643.023-.016-.36-1.262.627 1.12c.018-.006.04-.006.058-.011l-.02-1.251.398 1.163.477-1.15.016 1.268.012.007.713-1.005-.363 1.218.009.01 1.04-.69-.759 1.05.002.005.95-.34.041-.045a.395.395 0 0 1 .394-.632 3.4 3.4 0 0 0 .27-.784 14 14 0 0 0-2.798-.168c-.286.011-.55.033-.817.053"/></svg>

frontend/src/assets/Logos/fluxcd.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" viewBox="48 -2.25 262.5 364"><defs><style>.cls-1{fill:#326ce5}.cls-3{fill:none}</style></defs><path d="M59.724 97.778a10.183 10.183 0 0 1 0-17.073l114.07-74.16a10.18 10.18 0 0 1 11.1 0l114.07 74.16a10.183 10.183 0 0 1 0 17.073l-114.07 74.16a10.18 10.18 0 0 1-11.1 0z" class="cls-1"/><path fill="#c1d2f7" d="M197.356 110.866h7.912a6.003 6.003 0 0 0 5.2-9.005l-25.924-44.902a6.004 6.004 0 0 0-10.399 0l-25.924 44.902a6.003 6.003 0 0 0 5.2 9.005h7.912a6.003 6.003 0 0 1 6.004 6.003v51.257l5.31 3.452a12.29 12.29 0 0 0 13.395 0l5.31-3.452v-51.257a6.003 6.003 0 0 1 6.004-6.003"/><path d="M173.793 353.271a10.1 10.1 0 0 0 3.457 1.402 119 119 0 0 0-6.623-3.46zm-6.456-161.195-11.316 7.356a111 111 0 0 0 11.316 6.6zm24.015 23.716c9.739 3.115 19.813 5.648 30.11 8.186 10.92 2.692 21.973 5.427 32.818 9.009l-35.416-23.025a216 216 0 0 1-27.512-9.41zm0 62.191v.586c0 2.57-2.688 4.652-6.003 4.652H173.34c-3.315 0-6.003-2.083-6.003-4.652v-6.605c-24.906-6.402-49.873-14.485-70.86-33.82l-14.529 9.445c22.468 22.05 50.28 28.933 79.715 36.189 27.178 6.698 55.18 13.651 78.685 33.442l14.68-9.544c-18.532-16.504-40.41-23.687-63.676-29.693M93.315 300.95l38.908 25.295c20.064 5.113 40.2 11.248 58.31 23.36l14.901-9.687c-19.752-13.672-42.55-19.313-66.419-25.197-15.287-3.767-30.835-7.616-45.7-13.771m74.022-82.254a124.3 124.3 0 0 1-21.534-12.62l-14.805 9.625a124.5 124.5 0 0 0 36.339 18.708zm51.41 16.294c-9.106-2.245-18.304-4.524-27.395-7.299v13.682q5.051 1.286 10.177 2.538c29.934 7.379 60.888 15.01 85.708 39.829.61.61 1.162 1.24 1.752 1.857l9.974-6.484a10.1 10.1 0 0 0 3.475-3.8 101 101 0 0 0-3.289-3.486c-22.585-22.585-50.669-29.508-80.402-36.837m-19.933 19.933q-3.722-.918-7.462-1.855v13.21c25.817 6.561 51.803 14.688 73.455 35.04l14.521-9.44-.11-.118c-22.586-22.585-50.67-29.509-80.404-36.837m-31.477-8.587c-16.28-5.278-32.118-12.397-46.344-24.131l-14.682 9.545c17.87 15.557 38.784 22.673 61.026 28.5z" class="cls-3"/><path d="M73.24 254.96c-.348-.348-.658-.71-1-1.06l-12.514 8.136a10 10 0 0 0-1.644 1.397c1.053 1.157 2.115 2.31 3.245 3.44 22.585 22.585 50.67 29.509 80.403 36.837 25.343 6.247 51.401 12.717 73.865 29.603l14.806-9.626c-20.865-16.42-45.53-22.509-71.453-28.898-29.934-7.379-60.888-15.01-85.708-39.83" class="cls-3"/><path d="m218.864 209.962-27.512-17.886v8.476a216 216 0 0 0 27.512 9.41m-27.512 5.83v11.9c9.091 2.774 18.289 5.053 27.395 7.298 29.733 7.329 57.817 14.252 80.402 36.837a101 101 0 0 1 3.29 3.486 10.193 10.193 0 0 0-3.476-13.277l-44.683-29.05c-10.845-3.58-21.898-6.316-32.818-9.008-10.297-2.538-20.371-5.071-30.11-8.186m-24.015-9.76a111 111 0 0 1-11.316-6.6l-10.218 6.644a124.3 124.3 0 0 0 21.534 12.62zm34.192 37.88q-5.125-1.264-10.177-2.539v11.695q3.737.938 7.462 1.855c29.733 7.328 57.818 14.252 80.403 36.837.039.039.073.079.111.118l9.66-6.28c-.589-.618-1.142-1.248-1.751-1.858-24.82-24.82-55.774-32.45-85.708-39.829m-34.192-9.503a124.5 124.5 0 0 1-36.34-18.708l-10.004 6.504c14.226 11.734 30.064 18.853 46.344 24.13zm0 25.842c-22.242-5.828-43.156-12.944-61.026-28.5l-9.834 6.392c20.987 19.336 45.954 27.42 70.86 33.821zm24.015 17.732c23.266 6.006 45.144 13.19 63.675 29.693l9.78-6.358c-21.652-20.352-47.638-28.479-73.455-35.04zM81.948 247.59l-9.707 6.311c.341.35.652.712 1 1.06 24.82 24.82 55.773 32.45 85.707 39.829 25.922 6.39 50.588 12.478 71.452 28.898l9.948-6.467c-23.505-19.791-51.507-26.744-78.685-33.442-29.436-7.256-57.247-14.138-79.715-36.189m-20.621 19.284c-1.13-1.13-2.192-2.283-3.245-3.44a10.154 10.154 0 0 0 1.644 15.68l33.589 21.837c14.865 6.155 30.413 10.004 45.7 13.771 23.869 5.884 46.667 11.525 66.419 25.197l10.16-6.605c-22.463-16.886-48.521-23.356-73.864-29.603-29.733-7.328-57.818-14.252-80.403-36.837m109.3 84.34a119 119 0 0 1 6.623 3.46 10.16 10.16 0 0 0 7.645-1.402l5.639-3.666c-18.11-12.112-38.247-18.247-58.311-23.36z" class="cls-1"/></svg>

frontend/src/assets/Logos/planetscale.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" fill="currentColor" viewBox="0 0 24 24"><title>PlanetScale</title><path d="M0 12C0 5.373 5.373 0 12 0c4.873 0 9.067 2.904 10.947 7.077l-15.87 15.87a12 12 0 0 1-1.935-1.099L14.99 12H12l-8.485 8.485A11.96 11.96 0 0 1 0 12m12.004 12L24 12.004C23.998 18.628 18.628 23.998 12.004 24"/></svg>

frontend/src/container/AIAssistant/ConversationView/ConversationView.tsx

@@ -177,13 +177,7 @@ export default function ConversationView({
 				conversationId={conversationId}
 				messages={messages}
 				isStreaming={isStreamingHere}
-				onSendSuggestedPrompt={(text): void => {
-					handleSend(
-						text,
-						undefined,
-						autoContexts.length > 0 ? autoContexts : undefined,
-					);
-				}}
+				onSendSuggestedPrompt={(text): void => handleSend(text)}
 			/>
 			{showDisclaimer && (
 				<div className={disclaimerClass} role="note" aria-live="polite">

frontend/src/container/AIAssistant/ConversationView/__tests__/ConversationView.test.tsx

@@ -1,142 +0,0 @@
-import { MemoryRouter } from 'react-router-dom';
-// eslint-disable-next-line no-restricted-imports
-import { fireEvent, render } from '@testing-library/react';
-import { MessageContext } from 'api/ai-assistant/chat';
-import { useAIAssistantStore } from 'container/AIAssistant/store/useAIAssistantStore';
-import { VariantContext } from 'container/AIAssistant/VariantContext';
-
-const CHIP_ID = 'recent-errors';
-const CHIP_TEXT = 'Show me recent errors';
-
-// Auto-derived page context that a normal (typed) send would attach. The chip
-// send must forward the exact same array.
-const mockAutoContexts: MessageContext[] = [
-	{
-		source: 'auto',
-		type: 'dashboard',
-		resourceId: 'dashboard-123',
-		resourceName: 'Checkout dashboard',
-	},
-];
-
-jest.mock('api/common/logEvent', () => ({
-	__esModule: true,
-	default: jest.fn(),
-}));
-
-jest.mock('container/AIAssistant/getAutoContexts', () => ({
-	getAutoContexts: jest.fn(() => mockAutoContexts),
-}));
-
-jest.mock('container/AIAssistant/hooks/useAIAssistantAnalyticsContext', () => ({
-	normalizePage: (page: string): string => page,
-	useAIAssistantAnalyticsContext: (): unknown => ({ threadId: 'thread-1' }),
-}));
-
-// ChatInput is heavy and irrelevant here — the chip path lives entirely in the
-// empty state. Provide a lightweight stub plus the `autoContextKey` named export
-// ConversationView imports for its dismissed-context filter.
-jest.mock('container/AIAssistant/components/ChatInput', () => ({
-	__esModule: true,
-	default: (): JSX.Element => <div data-testid="chat-input" />,
-	autoContextKey: (): string => '',
-}));
-
-jest.mock('container/AIAssistant/components/ConversationSkeleton', () => ({
-	__esModule: true,
-	default: (): JSX.Element => <div data-testid="skeleton" />,
-}));
-
-// VirtualizedMessages renders the real empty-state chips; stub only its
-// never-rendered-in-empty-state children and the virtual list.
-jest.mock('components/Noz/Noz', () => ({
-	__esModule: true,
-	default: (): JSX.Element => <div data-testid="noz" />,
-}));
-
-jest.mock('container/AIAssistant/components/MessageBubble', () => ({
-	__esModule: true,
-	default: (): null => null,
-}));
-
-jest.mock('container/AIAssistant/components/StreamingMessage', () => ({
-	__esModule: true,
-	default: (): null => null,
-}));
-
-jest.mock('react-virtuoso', () => ({
-	__esModule: true,
-	Virtuoso: (): null => null,
-}));
-
-jest.mock(
-	'container/AIAssistant/components/VirtualizedMessages/useEmptyStateChips',
-	() => ({
-		useEmptyStateChips: (): { chips: { id: string; text: string }[] } => ({
-			chips: [{ id: CHIP_ID, text: CHIP_TEXT }],
-		}),
-	}),
-);
-
-// eslint-disable-next-line import/first
-import ConversationView from '../ConversationView';
-
-const CONVERSATION_ID = 'conv-1';
-
-function renderView(variant: 'panel' | 'page' | 'modal'): {
-	getByTestId: (id: string) => HTMLElement;
-} {
-	return render(
-		<MemoryRouter initialEntries={['/dashboard/dashboard-123']}>
-			<VariantContext.Provider value={variant}>
-				<ConversationView conversationId={CONVERSATION_ID} />
-			</VariantContext.Provider>
-		</MemoryRouter>,
-	);
-}
-
-describe('ConversationView — empty-state chip context', () => {
-	let sendMessage: jest.Mock;
-
-	beforeEach(() => {
-		jest.clearAllMocks();
-		sendMessage = jest.fn();
-		useAIAssistantStore.setState({
-			conversations: {
-				[CONVERSATION_ID]: {
-					id: CONVERSATION_ID,
-					messages: [],
-					createdAt: 1,
-					updatedAt: 1,
-				},
-			},
-			streams: {},
-			activeConversationId: CONVERSATION_ID,
-			isLoadingThread: false,
-			sendMessage,
-		} as unknown as Partial<ReturnType<typeof useAIAssistantStore.getState>>);
-	});
-
-	it('forwards the page auto-contexts when a chip is clicked (embedded variant)', () => {
-		const { getByTestId } = renderView('panel');
-
-		fireEvent.click(getByTestId(`empty-state-chip-${CHIP_ID}`));
-
-		// The chip send must carry the same auto-contexts a typed message would.
-		expect(sendMessage).toHaveBeenCalledTimes(1);
-		expect(sendMessage).toHaveBeenCalledWith(
-			CHIP_TEXT,
-			undefined,
-			mockAutoContexts,
-		);
-	});
-
-	it('sends undefined contexts on the standalone page (no page context to attach)', () => {
-		const { getByTestId } = renderView('page');
-
-		fireEvent.click(getByTestId(`empty-state-chip-${CHIP_ID}`));
-
-		expect(sendMessage).toHaveBeenCalledTimes(1);
-		expect(sendMessage).toHaveBeenCalledWith(CHIP_TEXT, undefined, undefined);
-	});
-});

frontend/src/container/DashboardContainer/DashboardDescription/Description.styles.scss

@@ -149,18 +149,6 @@
 		line-height: 22px; /* 157.143% */
 		letter-spacing: -0.07px;
 		padding: 20px 16px 0px 16px;
-		/* Preserve author-entered line breaks in the description. */
-		white-space: pre-wrap;
-		overflow-wrap: anywhere;
-
-		a {
-			color: var(--accent-primary);
-			text-decoration: underline;
-
-			&:hover {
-				text-decoration: none;
-			}
-		}
 	}
 
 	.dashboard-variables {

frontend/src/container/DashboardContainer/DashboardDescription/index.tsx

@@ -43,7 +43,6 @@ import { sortLayout } from 'providers/Dashboard/util';
 import { DashboardData } from 'types/api/dashboard/getAll';
 import { Props } from 'types/api/dashboard/update';
 import { ROLES, USER_ROLES } from 'types/roles';
-import { linkifyText } from 'utils/linkifyText';
 import { ComponentTypes } from 'utils/permission';
 import { v4 as uuid } from 'uuid';
 
@@ -516,9 +515,7 @@ function DashboardDescription(props: DashboardDescriptionProps): JSX.Element {
 				</div>
 			)}
 			{!isEmpty(description) && (
-				<section className="dashboard-description-section">
-					{linkifyText(description ?? '')}
-				</section>
+				<section className="dashboard-description-section">{description}</section>
 			)}
 
 			{!isEmpty(dashboardVariables) && (

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

@@ -1625,9 +1625,6 @@ export const getHostQueryPayload = (
 	const diskPendingKey = dotMetricsEnabled
 		? 'system.disk.pending_operations'
 		: 'system_disk_pending_operations';
-	const fsUsageKey = dotMetricsEnabled
-		? 'system.filesystem.usage'
-		: 'system_filesystem_usage';
 
 	return [
 		{
@@ -2660,155 +2657,6 @@ export const getHostQueryPayload = (
 			start,
 			end,
 		},
-		{
-			selectedTime: 'GLOBAL_TIME',
-			graphType: PANEL_TYPES.TIME_SERIES,
-			query: {
-				builder: {
-					queryData: [
-						{
-							aggregateAttribute: {
-								dataType: DataTypes.Float64,
-								id: 'system_filesystem_usage--float64--Gauge--true',
-
-								key: fsUsageKey,
-								type: 'Gauge',
-							},
-							aggregateOperator: 'avg',
-							dataSource: DataSource.METRICS,
-							disabled: true,
-							expression: 'A',
-							filters: {
-								items: [
-									{
-										id: 'fs_f1',
-										key: {
-											dataType: DataTypes.String,
-											id: 'host_name--string--tag--false',
-
-											key: hostNameKey,
-											type: 'tag',
-										},
-										op: '=',
-										value: hostName,
-									},
-									{
-										id: 'fs_f2',
-										key: {
-											dataType: DataTypes.String,
-											id: 'state--string--tag--false',
-
-											key: 'state',
-											type: 'tag',
-										},
-										op: '=',
-										value: 'used',
-									},
-								],
-								op: 'AND',
-							},
-							functions: [],
-							groupBy: [
-								{
-									dataType: DataTypes.String,
-									id: 'mountpoint--string--tag--false',
-
-									key: 'mountpoint',
-									type: 'tag',
-								},
-							],
-							having: [
-								{
-									columnName: `SUM(${fsUsageKey})`,
-									op: '>',
-									value: 0,
-								},
-							],
-							legend: '{{mountpoint}}',
-							limit: null,
-							orderBy: [],
-							queryName: 'A',
-							reduceTo: ReduceOperators.AVG,
-							spaceAggregation: 'sum',
-							stepInterval: 60,
-							timeAggregation: 'avg',
-						},
-						{
-							aggregateAttribute: {
-								dataType: DataTypes.Float64,
-								id: 'system_filesystem_usage--float64--Gauge--true',
-
-								key: fsUsageKey,
-								type: 'Gauge',
-							},
-							aggregateOperator: 'avg',
-							dataSource: DataSource.METRICS,
-							disabled: true,
-							expression: 'B',
-							filters: {
-								items: [
-									{
-										id: 'fs_f3',
-										key: {
-											dataType: DataTypes.String,
-											id: 'host_name--string--tag--false',
-
-											key: hostNameKey,
-											type: 'tag',
-										},
-										op: '=',
-										value: hostName,
-									},
-								],
-								op: 'AND',
-							},
-							functions: [],
-							groupBy: [
-								{
-									dataType: DataTypes.String,
-									id: 'mountpoint--string--tag--false',
-
-									key: 'mountpoint',
-									type: 'tag',
-								},
-							],
-							having: [
-								{
-									columnName: `SUM(${fsUsageKey})`,
-									op: '>',
-									value: 0,
-								},
-							],
-							legend: '{{mountpoint}}',
-							limit: null,
-							orderBy: [],
-							queryName: 'B',
-							reduceTo: ReduceOperators.AVG,
-							spaceAggregation: 'sum',
-							stepInterval: 60,
-							timeAggregation: 'avg',
-						},
-					],
-					queryFormulas: [
-						{
-							disabled: false,
-							expression: 'A/B',
-							legend: '{{mountpoint}}',
-							queryName: 'F1',
-						},
-					],
-					queryTraceOperator: [],
-				},
-				clickhouse_sql: [{ disabled: false, legend: '', name: 'A', query: '' }],
-				id: 'a1b2c3d4-e5f6-7890-abcd-ef1234567890',
-				promql: [{ disabled: false, legend: '', name: 'A', query: '' }],
-				queryType: EQueryType.QUERY_BUILDER,
-			},
-			variables: {},
-			formatForWeb: false,
-			start,
-			end,
-		},
 	];
 };
 
@@ -2884,5 +2732,4 @@ export const hostWidgetInfo = [
 	{ title: 'System disk operations/s', yAxisUnit: 'short' },
 	{ title: 'Queue size', yAxisUnit: 'short' },
 	{ title: 'System disk operation time/s', yAxisUnit: 's' },
-	{ title: 'Disk Usage (%) by mountpoint', yAxisUnit: 'percentunit' },
 ];

frontend/src/container/OnboardingV2Container/onboarding-configs/onboarding-config-with-links.ts

@@ -20,7 +20,6 @@ import azureOpenaiUrl from '@/assets/Logos/azure-openai.svg';
 import azureSqlDatabaseMetricsUrl from '@/assets/Logos/azure-sql-database-metrics.svg';
 import azureVmUrl from '@/assets/Logos/azure-vm.svg';
 import basetenUrl from '@/assets/Logos/baseten.svg';
-import cassandraUrl from '@/assets/Logos/cassandra.svg';
 import celeryUrl from '@/assets/Logos/celery.svg';
 import certManagerUrl from '@/assets/Logos/cert-manager.svg';
 import claudeCodeUrl from '@/assets/Logos/claude-code.svg';
@@ -52,7 +51,6 @@ import externalApiMonitoringUrl from '@/assets/Logos/external-api-monitoring.svg
 import fluentbitUrl from '@/assets/Logos/fluentbit.svg';
 import fluentdUrl from '@/assets/Logos/fluentd.svg';
 import flutterMonitoringUrl from '@/assets/Logos/flutter-monitoring.svg';
-import fluxcdUrl from '@/assets/Logos/fluxcd.svg';
 import flyIoUrl from '@/assets/Logos/fly-io.svg';
 import fromLogFileUrl from '@/assets/Logos/from-log-file.svg';
 import gcpAppEngineUrl from '@/assets/Logos/gcp-app-engine.svg';
@@ -96,7 +94,6 @@ import langtraceUrl from '@/assets/Logos/langtrace.svg';
 import litellmUrl from '@/assets/Logos/litellm.svg';
 import livekitUrl from '@/assets/Logos/livekit.svg';
 import llamaindexUrl from '@/assets/Logos/llamaindex.svg';
-import llmMonitoringUrl from '@/assets/Logos/llm-monitoring.svg';
 import logrusUrl from '@/assets/Logos/logrus.svg';
 import logsUrl from '@/assets/Logos/logs.svg';
 import logstashUrl from '@/assets/Logos/logstash.svg';
@@ -123,7 +120,6 @@ import opentelemetryUrl from '@/assets/Logos/opentelemetry.svg';
 import phpUrl from '@/assets/Logos/php.svg';
 import pinoUrl from '@/assets/Logos/pino.svg';
 import pipecatUrl from '@/assets/Logos/pipecat.svg';
-import planetscaleUrl from '@/assets/Logos/planetscale.svg';
 import postgresqlUrl from '@/assets/Logos/postgresql.svg';
 import prometheusUrl from '@/assets/Logos/prometheus.svg';
 import pydanticAiUrl from '@/assets/Logos/pydantic-ai.svg';
@@ -1530,28 +1526,6 @@ const onboardingConfigWithLinks = [
 		id: 'nginx-tracing',
 		link: '/docs/instrumentation/opentelemetry-nginx/',
 	},
-	{
-		dataSource: 'nginx-ingress-controller',
-		label: 'NGINX Ingress Controller',
-		imgUrl: nginxUrl,
-		tags: ['infrastructure monitoring'],
-		module: 'metrics',
-		relatedSearchKeywords: [
-			'ingress',
-			'ingress controller',
-			'kubernetes ingress',
-			'monitoring',
-			'nginx ingress',
-			'nginx ingress controller',
-			'nginx ingress metrics',
-			'nginx ingress monitoring',
-			'nginx ingress observability',
-			'observability',
-			'opentelemetry nginx ingress',
-		],
-		id: 'nginx-ingress-controller',
-		link: '/docs/metrics-management/nginx-ingress-controller/',
-	},
 	{
 		dataSource: 'opentelemetry-cloudflare',
 		label: 'Cloudflare Tracing',
@@ -1612,119 +1586,6 @@ const onboardingConfigWithLinks = [
 		id: 'opentelemetry-cloudflare-logs',
 		link: '/docs/logs-management/send-logs/cloudflare-logs/',
 	},
-	{
-		dataSource: 'cloudflare-workers',
-		label: 'Cloudflare Workers',
-		imgUrl: cloudflareUrl,
-		tags: ['apm/traces'],
-		module: 'apm',
-		relatedSearchKeywords: [
-			'cloudflare',
-			'cloudflare workers',
-			'cloudflare workers monitoring',
-			'cloudflare workers observability',
-			'cloudflare workers otlp',
-			'edge computing monitoring',
-			'monitor cloudflare workers',
-			'monitoring',
-			'observability',
-			'opentelemetry cloudflare workers',
-			'otlp',
-			'serverless monitoring',
-		],
-		id: 'cloudflare-workers',
-		link: '/docs/integrations/outposts/cloudflare-workers/',
-	},
-	{
-		dataSource: 'opentelemetry-cassandra',
-		label: 'Cassandra',
-		imgUrl: cassandraUrl,
-		tags: ['database'],
-		module: 'apm',
-		relatedSearchKeywords: [
-			'apache cassandra',
-			'cassandra',
-			'cassandra database',
-			'cassandra logs',
-			'cassandra metrics',
-			'cassandra monitoring',
-			'cassandra observability',
-			'database',
-			'monitoring',
-			'nosql',
-			'observability',
-			'opentelemetry cassandra',
-		],
-		id: 'opentelemetry-cassandra',
-		link: '/docs/integrations/opentelemetry-cassandra/',
-	},
-	{
-		dataSource: 'fluxcd',
-		label: 'FluxCD',
-		imgUrl: fluxcdUrl,
-		tags: ['infrastructure monitoring'],
-		module: 'metrics',
-		relatedSearchKeywords: [
-			'continuous delivery',
-			'flux',
-			'fluxcd',
-			'fluxcd dashboard',
-			'fluxcd metrics',
-			'fluxcd monitoring',
-			'fluxcd observability',
-			'gitops',
-			'kubernetes',
-			'monitoring',
-			'observability',
-			'opentelemetry fluxcd',
-		],
-		id: 'fluxcd',
-		link: '/docs/metrics-management/fluxcd-metrics/',
-	},
-	{
-		dataSource: 'planetscale',
-		label: 'PlanetScale',
-		imgUrl: planetscaleUrl,
-		tags: ['database'],
-		module: 'apm',
-		relatedSearchKeywords: [
-			'database',
-			'monitoring',
-			'mysql',
-			'observability',
-			'opentelemetry planetscale',
-			'planetscale',
-			'planetscale database',
-			'planetscale metrics',
-			'planetscale monitoring',
-			'planetscale observability',
-			'serverless database',
-		],
-		id: 'planetscale',
-		link: '/docs/metrics-management/opentelemetry-planetscale/',
-	},
-	{
-		dataSource: 'hermes-agent',
-		label: 'Hermes Agent',
-		imgUrl: llmMonitoringUrl,
-		tags: ['LLM Monitoring'],
-		module: 'apm',
-		relatedSearchKeywords: [
-			'ai agent monitoring',
-			'hermes',
-			'hermes agent',
-			'hermes agent monitoring',
-			'hermes agent observability',
-			'hermes monitoring',
-			'llm monitoring',
-			'monitoring',
-			'nous research',
-			'observability',
-			'opentelemetry hermes',
-		],
-		id: 'hermes-agent',
-		link: '/docs/hermes-monitoring/',
-	},
 	{
 		dataSource: 'convex-logs',
 		label: 'Convex Logs',

frontend/src/pages/AIAssistantPage/AIAssistantPage.tsx

@@ -26,8 +26,8 @@ export default function AIAssistantPage(): JSX.Element {
 
 	// Skip the mount-time Opened fire when the user expanded an already-open
 	// drawer/modal — that surface already emitted Opened with the right source.
-	// Router state (vs a module flag) survives page remounts and aborted
-	// navigations.
+	// Router state (vs a module flag) survives StrictMode double-mount and
+	// aborted navigations.
 	const fromInApp = location.state?.fromInApp === true;
 	useEffect(() => {
 		if (fromInApp) {
@@ -52,34 +52,18 @@ export default function AIAssistantPage(): JSX.Element {
 		(s) => s.startNewConversation,
 	);
 
-	// Keep refs so the effect can read the latest store state without re-firing
-	// when it mutates the store mid-effect (it only depends on the URL param).
+	// Keep a ref so the effect can read latest conversations without re-firing
+	// when startNewConversation mutates the store mid-effect.
 	const conversationsRef = useRef(conversations);
 	conversationsRef.current = conversations;
-	const activeConversationIdRef = useRef(activeConversationId);
-	activeConversationIdRef.current = activeConversationId;
 
 	useEffect(() => {
-		// URL points at a known conversation → just activate it.
-		if (conversationId && conversationsRef.current[conversationId]) {
+		if (conversationsRef.current[conversationId]) {
 			setActiveConversation(conversationId);
-			return;
+		} else {
+			const newId = startNewConversation();
+			history.replace(ROUTES.AI_ASSISTANT.replace(':conversationId', newId));
 		}
-
-		// The URL has no usable conversation id (bare `/ai-assistant`, or a stale
-		// param). Prefer resuming the active conversation — including the
-		// rehydrating placeholder for the persisted thread — over minting a new
-		// one. This is what stops a throwaway blank chat from flashing as a
-		// second thread during load, and stops a duplicate when the page
-		// remounts during startup route churn (the active id is already set, so
-		// we resume instead of create). Starting fresh is the last resort, only
-		// when there is genuinely nothing to resume.
-		const activeId = activeConversationIdRef.current;
-		const resumeId =
-			activeId && conversationsRef.current[activeId]
-				? activeId
-				: startNewConversation();
-		history.replace(ROUTES.AI_ASSISTANT.replace(':conversationId', resumeId));
 		// Only re-run when the URL param changes, not when conversations mutates.
 		// eslint-disable-next-line react-hooks/exhaustive-deps
 	}, [conversationId]);

frontend/src/pages/AIAssistantPage/__tests__/AIAssistantPage.test.tsx

@@ -1,181 +0,0 @@
-import { MemoryRouter, Route } from 'react-router-dom';
-// eslint-disable-next-line no-restricted-imports
-import { render } from '@testing-library/react';
-import ROUTES from 'constants/routes';
-import { useAIAssistantStore } from 'container/AIAssistant/store/useAIAssistantStore';
-
-jest.mock('api/common/logEvent', () => ({
-	__esModule: true,
-	default: jest.fn(),
-}));
-
-jest.mock('container/AIAssistant/ConversationView', () => ({
-	__esModule: true,
-	default: (): JSX.Element => <div data-testid="conversation-view" />,
-}));
-
-jest.mock('container/AIAssistant/components/ConversationsList', () => ({
-	__esModule: true,
-	default: (): JSX.Element => <div data-testid="conversations-list" />,
-}));
-
-jest.mock('components/Noz/Noz', () => ({
-	__esModule: true,
-	default: (): JSX.Element => <div data-testid="noz" />,
-}));
-
-jest.mock('container/AIAssistant/hooks/useAIAssistantAnalyticsContext', () => ({
-	normalizePage: (page: string): string => page,
-	useAIAssistantAnalyticsContext: (): unknown => ({ mode: 'page' }),
-}));
-
-// eslint-disable-next-line import/first
-import AIAssistantPage from '../AIAssistantPage';
-
-function renderAt(entry: string): { unmount: () => void } {
-	return render(
-		<MemoryRouter initialEntries={[entry]}>
-			<Route
-				exact
-				path={[ROUTES.AI_ASSISTANT_BASE, ROUTES.AI_ASSISTANT]}
-				component={AIAssistantPage}
-			/>
-		</MemoryRouter>,
-	);
-}
-
-function renderAtBase(): { unmount: () => void } {
-	return renderAt(ROUTES.AI_ASSISTANT_BASE);
-}
-
-function conversationCount(): number {
-	return Object.keys(useAIAssistantStore.getState().conversations).length;
-}
-
-function conversationIds(): string[] {
-	return Object.keys(useAIAssistantStore.getState().conversations);
-}
-
-function activeId(): string | null {
-	return useAIAssistantStore.getState().activeConversationId;
-}
-
-describe('AIAssistantPage', () => {
-	beforeEach(() => {
-		useAIAssistantStore.setState({
-			conversations: {},
-			streams: {},
-			activeConversationId: null,
-		});
-	});
-
-	it('opens exactly one conversation when navigating to /ai-assistant', () => {
-		const { unmount } = renderAtBase();
-
-		expect(conversationCount()).toBe(1);
-
-		unmount();
-	});
-
-	it('does not stack a second conversation when the page remounts at the bare URL (route churn)', () => {
-		// First mount at `/ai-assistant` creates one blank conversation and
-		// redirects to `/ai-assistant/:id`.
-		const { unmount } = renderAtBase();
-		expect(conversationCount()).toBe(1);
-		const firstId = conversationIds()[0];
-
-		// Startup route-list churn unmounts and remounts the page while the URL
-		// is momentarily back at the bare `/ai-assistant`. This previously
-		// created a second blank conversation — now it reuses the first.
-		unmount();
-		const { unmount: unmount2 } = renderAtBase();
-
-		expect(conversationCount()).toBe(1);
-		// The surviving conversation is the original one, resumed — not a fresh mint.
-		expect(conversationIds()).toStrictEqual([firstId]);
-		expect(activeId()).toBe(firstId);
-
-		unmount2();
-	});
-
-	it('activates the conversation named in the URL without creating a new one', () => {
-		useAIAssistantStore.setState({
-			conversations: {
-				existing: {
-					id: 'existing',
-					messages: [],
-					createdAt: 1,
-					updatedAt: 1,
-				},
-			},
-			streams: {},
-			activeConversationId: null,
-		});
-
-		const { unmount } = renderAt(
-			ROUTES.AI_ASSISTANT.replace(':conversationId', 'existing'),
-		);
-
-		expect(conversationCount()).toBe(1);
-		expect(activeId()).toBe('existing');
-
-		unmount();
-	});
-
-	it('resumes the active conversation on /ai-assistant/new instead of minting a new one', () => {
-		// The sidenav only routes to `/ai-assistant/new` as a fallback, but if an
-		// active conversation exists the page must resume it rather than spawn a
-		// throwaway blank thread for the unknown "new" param.
-		useAIAssistantStore.setState({
-			conversations: {
-				active: {
-					id: 'active',
-					messages: [],
-					createdAt: 1,
-					updatedAt: 1,
-				},
-			},
-			streams: {},
-			activeConversationId: 'active',
-		});
-
-		const { unmount } = renderAt(
-			ROUTES.AI_ASSISTANT.replace(':conversationId', 'new'),
-		);
-
-		expect(conversationCount()).toBe(1);
-		expect(conversationIds()).toStrictEqual(['active']);
-		expect(activeId()).toBe('active');
-
-		unmount();
-	});
-
-	it('resumes the persisted (hydrating) conversation during load instead of creating a second', () => {
-		// Simulates `onRehydrateStorage` priming the persisted active
-		// conversation as a hydrating placeholder before `fetchThreads` resolves.
-		useAIAssistantStore.setState({
-			conversations: {
-				persisted: {
-					id: 'persisted',
-					messages: [],
-					createdAt: 1,
-					updatedAt: 1,
-					isHydrating: true,
-				},
-			},
-			streams: {},
-			activeConversationId: 'persisted',
-		});
-
-		const { unmount } = renderAtBase();
-
-		// Opening the bare URL must resume the persisted conversation, not mint a
-		// throwaway blank alongside it (which flashed as a 2nd thread during load).
-		expect(conversationCount()).toBe(1);
-		expect(
-			Object.keys(useAIAssistantStore.getState().conversations),
-		).toStrictEqual(['persisted']);
-
-		unmount();
-	});
-});

frontend/src/pages/DashboardPageV2/DashboardContainer/DashboardPageToolbar/DashboardInfo/DashboardInfo.module.scss

@@ -32,22 +32,6 @@
 	cursor: help;
 }
 
-.descriptionTooltip {
-	display: block;
-	overflow-wrap: anywhere;
-	/* Preserve author-entered line breaks in the description. */
-	white-space: pre-wrap;
-
-	a {
-		color: var(--accent-primary);
-		text-decoration: underline;
-
-		&:hover {
-			text-decoration: none;
-		}
-	}
-}
-
 .publicLink {
 	display: inline-flex;
 	align-items: center;

frontend/src/pages/DashboardPageV2/DashboardContainer/DashboardPageToolbar/DashboardInfo/DashboardInfo.tsx

@@ -14,7 +14,6 @@ import { TooltipSimple } from '@signozhq/ui/tooltip';
 import { Typography } from '@signozhq/ui/typography';
 import cx from 'classnames';
 import { isEmpty } from 'lodash-es';
-import { linkifyText } from 'utils/linkifyText';
 import { openInNewTab } from 'utils/navigation';
 
 import styles from './DashboardInfo.module.scss';
@@ -144,14 +143,7 @@ function DashboardInfo({
 			)}
 
 			{hasDescription && (
-				<TooltipSimple
-					side="bottom"
-					title={
-						<span className={styles.descriptionTooltip}>
-							{linkifyText(description)}
-						</span>
-					}
-				>
+				<TooltipSimple title={description} disableHoverableContent>
 					<SolidInfoCircle
 						className={styles.descriptionIcon}
 						size={14}

frontend/src/utils/__tests__/linkifyText.test.tsx

@@ -1,66 +0,0 @@
-import { render, screen } from '@testing-library/react';
-
-import { linkifyText } from '../linkifyText';
-
-describe('linkifyText', () => {
-	it('returns plain text unchanged when there are no links', () => {
-		render(<div>{linkifyText('just a plain description')}</div>);
-
-		expect(screen.getByText('just a plain description')).toBeInTheDocument();
-		expect(screen.queryByRole('link')).not.toBeInTheDocument();
-	});
-
-	it('wraps an http(s) URL in an anchor that opens in a new tab', () => {
-		render(<div>{linkifyText('see https://signoz.io/docs for more')}</div>);
-
-		const link = screen.getByRole('link', { name: 'https://signoz.io/docs' });
-		expect(link).toHaveAttribute('href', 'https://signoz.io/docs');
-		expect(link).toHaveAttribute('target', '_blank');
-		expect(link).toHaveAttribute('rel', 'noopener noreferrer');
-	});
-
-	it('prefixes bare www. links with https://', () => {
-		render(<div>{linkifyText('visit www.signoz.io')}</div>);
-
-		const link = screen.getByRole('link', { name: 'www.signoz.io' });
-		expect(link).toHaveAttribute('href', 'https://www.signoz.io');
-	});
-
-	it('keeps trailing punctuation outside the link', () => {
-		render(<div>{linkifyText('read https://signoz.io.')}</div>);
-
-		const link = screen.getByRole('link', { name: 'https://signoz.io' });
-		expect(link).toHaveAttribute('href', 'https://signoz.io');
-	});
-
-	it('linkifies multiple URLs in the same string', () => {
-		render(
-			<div>{linkifyText('a https://one.com and b https://two.com end')}</div>,
-		);
-
-		expect(screen.getAllByRole('link')).toHaveLength(2);
-		expect(
-			screen.getByRole('link', { name: 'https://one.com' }),
-		).toBeInTheDocument();
-		expect(
-			screen.getByRole('link', { name: 'https://two.com' }),
-		).toBeInTheDocument();
-	});
-
-	it('preserves newlines around a link', () => {
-		const { container } = render(
-			<div>{linkifyText('line one\nsee https://signoz.io\nline three')}</div>,
-		);
-
-		expect(container.textContent).toBe(
-			'line one\nsee https://signoz.io\nline three',
-		);
-		expect(
-			screen.getByRole('link', { name: 'https://signoz.io' }),
-		).toHaveAttribute('href', 'https://signoz.io');
-	});
-
-	it('returns an empty string unchanged', () => {
-		expect(linkifyText('')).toBe('');
-	});
-});

frontend/src/utils/linkifyText.tsx

@@ -1,71 +0,0 @@
-import { Fragment, MouseEvent, ReactNode } from 'react';
-
-/** Matches http(s) URLs and bare www. links up to the next whitespace. */
-const URL_REGEX = /((?:https?:\/\/|www\.)[^\s]+)/gi;
-/** Trailing punctuation that is almost never part of the intended URL. */
-const TRAILING_PUNCTUATION = /[.,;:!?)\]}'"]+$/;
-
-const stopPropagation = (
-	event: MouseEvent<HTMLAnchorElement, globalThis.MouseEvent>,
-): void => {
-	// Prevent parent click listeners (e.g. title edit) from firing.
-	event.stopPropagation();
-};
-
-/**
- * Splits `text` into plain-text and anchor segments, wrapping any detected
- * URL in an anchor that opens in a new tab. Trailing punctuation is kept
- * outside the link so sentences like "see https://signoz.io." stay clean.
- */
-export function linkifyText(text: string): ReactNode {
-	if (!text) {
-		return text;
-	}
-
-	const segments: ReactNode[] = [];
-	let lastIndex = 0;
-	let key = 0;
-
-	const matches = text.matchAll(URL_REGEX);
-	for (const match of matches) {
-		const matchStart = match.index ?? 0;
-		const rawUrl = match[0];
-
-		const trailing = rawUrl.match(TRAILING_PUNCTUATION)?.[0] ?? '';
-		const url = trailing ? rawUrl.slice(0, -trailing.length) : rawUrl;
-		const href = url.startsWith('www.') ? `https://${url}` : url;
-
-		if (matchStart > lastIndex) {
-			segments.push(
-				<Fragment key={key}>{text.slice(lastIndex, matchStart)}</Fragment>,
-			);
-			key += 1;
-		}
-
-		segments.push(
-			<a
-				key={key}
-				href={href}
-				rel="noopener noreferrer"
-				target="_blank"
-				onClick={stopPropagation}
-			>
-				{url}
-			</a>,
-		);
-		key += 1;
-
-		if (trailing) {
-			segments.push(<Fragment key={key}>{trailing}</Fragment>);
-			key += 1;
-		}
-
-		lastIndex = matchStart + rawUrl.length;
-	}
-
-	if (lastIndex < text.length) {
-		segments.push(<Fragment key={key}>{text.slice(lastIndex)}</Fragment>);
-	}
-
-	return segments;
-}

pkg/modules/inframonitoring/implinframonitoring/checks_constants.go

@@ -117,16 +117,8 @@ var podsSpec = checkSpec{
 			DocumentationLink: docLinkKubeletStatsReceiver,
 		},
 		{
-			Component: componentK8sClusterReceiver,
-			DefaultMetrics: []string{
-				"k8s.pod.phase",
-				"k8s.container.restarts", // pod restart count (default-on)
-			},
-			OptionalMetrics: []string{
-				// kubectl-style pod display status (default-off in the receiver).
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
+			Component:         componentK8sClusterReceiver,
+			DefaultMetrics:    []string{"k8s.pod.phase"},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -157,10 +149,6 @@ var nodesSpec = checkSpec{
 				//  By default, only k8s.node.condition_ready is enabled. (Check https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/4f9a578b210a6dcb9f9bf47942f27208b5765298/receiver/k8sclusterreceiver/metadata.yaml#L802)
 				"k8s.pod.phase", // pod counts per node by phase
 			},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -194,10 +182,6 @@ var deploymentsSpec = checkSpec{
 				"k8s.deployment.desired",
 				"k8s.deployment.available",
 			},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -236,10 +220,6 @@ var daemonsetsSpec = checkSpec{
 				"k8s.daemonset.desired_scheduled_nodes",
 				"k8s.daemonset.current_scheduled_nodes",
 			},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -278,10 +258,6 @@ var statefulsetsSpec = checkSpec{
 				"k8s.statefulset.desired_pods",
 				"k8s.statefulset.current_pods",
 			},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -322,10 +298,6 @@ var jobsSpec = checkSpec{
 				"k8s.job.failed_pods",
 				"k8s.job.successful_pods",
 			},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -352,12 +324,8 @@ var namespacesSpec = checkSpec{
 			DocumentationLink: docLinkKubeletStatsReceiver,
 		},
 		{
-			Component:      componentK8sClusterReceiver,
-			DefaultMetrics: []string{"k8s.pod.phase"},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
+			Component:         componentK8sClusterReceiver,
+			DefaultMetrics:    []string{"k8s.pod.phase"},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{
@@ -392,10 +360,6 @@ var clustersSpec = checkSpec{
 				"k8s.node.condition_ready", // node counts by readiness
 				"k8s.pod.phase",            // pod counts per cluster by phase
 			},
-			OptionalMetrics: []string{
-				"k8s.pod.status_reason",
-				"k8s.container.status.reason",
-			},
 			DocumentationLink: docLinkK8sClusterReceiver,
 		},
 		{

pkg/modules/inframonitoring/implinframonitoring/clusters.go

@@ -20,7 +20,6 @@ func buildClusterRecords(
 	metadataMap map[string]map[string]string,
 	nodeConditionCountsMap map[string]nodeConditionCounts,
 	podPhaseCountsMap map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.ClusterRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -70,10 +69,6 @@ func buildClusterRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/clusters_constants.go

@@ -27,8 +27,6 @@ var clustersTableMetricNamesList = []string{
 	"k8s.node.allocatable_memory",
 	"k8s.node.condition_ready", //TODO(nikhilmantri0902): should these metrics be used to count groups k8s.node.condition_ready and k8s.pod.phase
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 }
 
 var clusterAttrKeysForMetadata = []string{

pkg/modules/inframonitoring/implinframonitoring/daemonsets.go

@@ -19,7 +19,6 @@ func buildDaemonSetRecords(
 	groupBy []qbtypes.GroupByKey,
 	metadataMap map[string]map[string]string,
 	phaseCounts map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.DaemonSetRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -78,10 +77,6 @@ func buildDaemonSetRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/daemonsets_constants.go

@@ -23,8 +23,6 @@ var daemonSetNameGroupByKey = qbtypes.GroupByKey{
 // response to short-circuit cleanly when the phase metric is absent.
 var daemonSetsTableMetricNamesList = []string{
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 	"k8s.pod.cpu.usage",
 	"k8s.pod.cpu_request_utilization",
 	"k8s.pod.cpu_limit_utilization",

pkg/modules/inframonitoring/implinframonitoring/deployments.go

@@ -19,7 +19,6 @@ func buildDeploymentRecords(
 	groupBy []qbtypes.GroupByKey,
 	metadataMap map[string]map[string]string,
 	phaseCounts map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.DeploymentRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -78,10 +77,6 @@ func buildDeploymentRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/deployments_constants.go

@@ -23,8 +23,6 @@ var deploymentNameGroupByKey = qbtypes.GroupByKey{
 // response to short-circuit cleanly when the phase metric is absent.
 var deploymentsTableMetricNamesList = []string{
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 	"k8s.pod.cpu.usage",
 	"k8s.pod.cpu_request_utilization",
 	"k8s.pod.cpu_limit_utilization",

pkg/modules/inframonitoring/implinframonitoring/helpers.go

@@ -440,30 +440,6 @@ func (m *module) buildFilterClause(ctx context.Context, filter *qbtypes.Filter,
 	return whereClause.WhereClause, nil
 }
 
-// mergeQueryWarnings combines any number of query warnings. It is nil-safe and
-// skips nil entries. The first non-nil warning becomes the primary; each
-// subsequent one contributes its message (as an additional warning) and its
-// own additional warnings. Returns nil when all inputs are nil.
-func mergeQueryWarnings(warnings ...*qbtypes.QueryWarnData) *qbtypes.QueryWarnData {
-	var merged *qbtypes.QueryWarnData
-	for _, w := range warnings {
-		if w == nil {
-			continue
-		}
-		if merged == nil {
-			// Copy so we don't mutate the caller's warning.
-			primary := *w
-			merged = &primary
-			continue
-		}
-		if w.Message != "" {
-			merged.Warnings = append(merged.Warnings, qbtypes.QueryWarnDataAdditional{Message: w.Message})
-		}
-		merged.Warnings = append(merged.Warnings, w.Warnings...)
-	}
-	return merged
-}
-
 // NOTE: this method is not specific to infra monitoring — it queries attributes_metadata generically.
 // Consider moving to telemetryMetaStore when a second use case emerges.
 //

pkg/modules/inframonitoring/implinframonitoring/internaltypes.go

@@ -26,60 +26,6 @@ type podPhaseCounts struct {
 	Unknown   int
 }
 
-// podStatusCounts holds per-group pod counts bucketed by latest kubectl-style
-// display status in window. Mirrors inframonitoringtypes.PodCountsByStatus.
-type podStatusCounts struct {
-	// Phase fallback.
-	Pending int
-	Running int
-	Failed  int
-	Unknown int
-
-	// Container-level reasons.
-	CrashLoopBackOff           int
-	ImagePullBackOff           int
-	ErrImagePull               int
-	CreateContainerConfigError int
-	ContainerCreating          int
-	OOMKilled                  int
-	Completed                  int
-	Error                      int
-	ContainerCannotRun         int
-
-	// Pod-level reasons.
-	Evicted                  int
-	NodeAffinity             int
-	NodeLost                 int
-	Shutdown                 int
-	UnexpectedAdmissionError int
-}
-
-// podStatusCountsToResponse copies the internal per-group status counts into the
-// public response struct. Shared by every entity that surfaces pod status
-// counts (pods, nodes, namespaces, clusters, workloads).
-func podStatusCountsToResponse(podStatuses podStatusCounts) inframonitoringtypes.PodCountsByStatus {
-	return inframonitoringtypes.PodCountsByStatus{
-		Pending:                    podStatuses.Pending,
-		Running:                    podStatuses.Running,
-		Failed:                     podStatuses.Failed,
-		Unknown:                    podStatuses.Unknown,
-		CrashLoopBackOff:           podStatuses.CrashLoopBackOff,
-		ImagePullBackOff:           podStatuses.ImagePullBackOff,
-		ErrImagePull:               podStatuses.ErrImagePull,
-		CreateContainerConfigError: podStatuses.CreateContainerConfigError,
-		ContainerCreating:          podStatuses.ContainerCreating,
-		OOMKilled:                  podStatuses.OOMKilled,
-		Completed:                  podStatuses.Completed,
-		Error:                      podStatuses.Error,
-		ContainerCannotRun:         podStatuses.ContainerCannotRun,
-		Evicted:                    podStatuses.Evicted,
-		NodeAffinity:               podStatuses.NodeAffinity,
-		NodeLost:                   podStatuses.NodeLost,
-		Shutdown:                   podStatuses.Shutdown,
-		UnexpectedAdmissionError:   podStatuses.UnexpectedAdmissionError,
-	}
-}
-
 // nodeConditionCounts holds per-group node counts bucketed by latest condition_ready in window.
 type nodeConditionCounts struct {
 	Ready    int

pkg/modules/inframonitoring/implinframonitoring/jobs.go

@@ -19,7 +19,6 @@ func buildJobRecords(
 	groupBy []qbtypes.GroupByKey,
 	metadataMap map[string]map[string]string,
 	phaseCounts map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.JobRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -86,10 +85,6 @@ func buildJobRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/jobs_constants.go

@@ -23,8 +23,6 @@ var jobNameGroupByKey = qbtypes.GroupByKey{
 // response to short-circuit cleanly when the phase metric is absent.
 var jobsTableMetricNamesList = []string{
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 	"k8s.pod.cpu.usage",
 	"k8s.pod.cpu_request_utilization",
 	"k8s.pod.cpu_limit_utilization",

pkg/modules/inframonitoring/implinframonitoring/module.go

@@ -309,19 +309,9 @@ func (m *module) ListPods(ctx context.Context, orgID valuer.UUID, req *inframoni
 		return nil, err
 	}
 
-	statusCounts, statusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	restartCounts, err := m.getPerGroupPodRestartCounts(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
 	isPodUIDInGroupBy := isKeyInGroupByAttrs(req.GroupBy, podUIDAttrKey)
-	resp.Records = buildPodRecords(isPodUIDInGroupBy, queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, statusCounts, restartCounts, req.End)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, statusWarning)
+	resp.Records = buildPodRecords(isPodUIDInGroupBy, queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, req.End)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -402,14 +392,9 @@ func (m *module) ListNodes(ctx context.Context, orgID valuer.UUID, req *inframon
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
 	isNodeNameInGroupBy := isKeyInGroupByAttrs(req.GroupBy, inframonitoringtypes.NodeNameAttrKey)
-	resp.Records = buildNodeRecords(isNodeNameInGroupBy, queryResp, pageGroups, req.GroupBy, metadataMap, nodeConditionCounts, podPhaseCounts, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildNodeRecords(isNodeNameInGroupBy, queryResp, pageGroups, req.GroupBy, metadataMap, nodeConditionCounts, podPhaseCounts)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -485,13 +470,8 @@ func (m *module) ListNamespaces(ctx context.Context, orgID valuer.UUID, req *inf
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	resp.Records = buildNamespaceRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildNamespaceRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -574,13 +554,8 @@ func (m *module) ListClusters(ctx context.Context, orgID valuer.UUID, req *infra
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	resp.Records = buildClusterRecords(queryResp, pageGroups, req.GroupBy, metadataMap, nodeConditionCountsMap, podPhaseCountsMap, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildClusterRecords(queryResp, pageGroups, req.GroupBy, metadataMap, nodeConditionCountsMap, podPhaseCountsMap)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -740,13 +715,8 @@ func (m *module) ListDeployments(ctx context.Context, orgID valuer.UUID, req *in
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	resp.Records = buildDeploymentRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildDeploymentRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -830,13 +800,8 @@ func (m *module) ListStatefulSets(ctx context.Context, orgID valuer.UUID, req *i
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	resp.Records = buildStatefulSetRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildStatefulSetRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -920,13 +885,8 @@ func (m *module) ListJobs(ctx context.Context, orgID valuer.UUID, req *inframoni
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	resp.Records = buildJobRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildJobRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }
@@ -1010,13 +970,8 @@ func (m *module) ListDaemonSets(ctx context.Context, orgID valuer.UUID, req *inf
 		return nil, err
 	}
 
-	podStatusCounts, podStatusWarning, err := m.getPerGroupPodStatusCountsWithReqMetricChecks(ctx, req.Start, req.End, req.Filter, req.GroupBy, pageGroups)
-	if err != nil {
-		return nil, err
-	}
-
-	resp.Records = buildDaemonSetRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts, podStatusCounts)
-	resp.Warning = mergeQueryWarnings(queryResp.Warning, podStatusWarning)
+	resp.Records = buildDaemonSetRecords(queryResp, pageGroups, req.GroupBy, metadataMap, phaseCounts)
+	resp.Warning = queryResp.Warning
 
 	return resp, nil
 }

pkg/modules/inframonitoring/implinframonitoring/namespaces.go

@@ -18,7 +18,6 @@ func buildNamespaceRecords(
 	groupBy []qbtypes.GroupByKey,
 	metadataMap map[string]map[string]string,
 	phaseCounts map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.NamespaceRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -53,10 +52,6 @@ func buildNamespaceRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/namespaces_constants.go

@@ -23,8 +23,6 @@ var namespacesTableMetricNamesList = []string{
 	"k8s.pod.cpu.usage",
 	"k8s.pod.memory.working_set",
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 }
 
 var namespaceAttrKeysForMetadata = []string{

pkg/modules/inframonitoring/implinframonitoring/nodes.go

@@ -26,7 +26,6 @@ func buildNodeRecords(
 	metadataMap map[string]map[string]string,
 	nodeConditionCounts map[string]nodeConditionCounts,
 	podPhaseCounts map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.NodeRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -87,10 +86,6 @@ func buildNodeRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/nodes_constants.go

@@ -26,8 +26,6 @@ var nodesTableMetricNamesList = []string{
 	"k8s.node.allocatable_memory",
 	"k8s.node.condition_ready",
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 }
 
 var nodeAttrKeysForMetadata = []string{

pkg/modules/inframonitoring/implinframonitoring/pods.go

@@ -26,8 +26,6 @@ func buildPodRecords(
 	groupBy []qbtypes.GroupByKey,
 	metadataMap map[string]map[string]string,
 	phaseCounts map[string]podPhaseCounts,
-	statusCounts map[string]podStatusCounts,
-	restartCounts map[string]int64,
 	reqEnd int64,
 ) []inframonitoringtypes.PodRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
@@ -40,8 +38,6 @@ func buildPodRecords(
 		record := inframonitoringtypes.PodRecord{ // initialize with default values
 			PodUID:           podUID,
 			PodPhase:         inframonitoringtypes.PodPhaseNoData,
-			PodStatus:        inframonitoringtypes.PodStatusNoData,
-			PodRestarts:      -1,
 			PodCPU:           -1,
 			PodCPURequest:    -1,
 			PodCPULimit:      -1,
@@ -99,57 +95,6 @@ func buildPodRecords(
 			}
 		}
 
-		if statusCountsForGroup, ok := statusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(statusCountsForGroup)
-
-			// In list mode each group is one pod; the count==1 bucket identifies the status.
-			if isPodUIDInGroupBy {
-				switch {
-				case statusCountsForGroup.Pending == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusPending
-				case statusCountsForGroup.Running == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusRunning
-				case statusCountsForGroup.Failed == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusFailed
-				case statusCountsForGroup.Unknown == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusUnknown
-				case statusCountsForGroup.CrashLoopBackOff == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusCrashLoopBackOff
-				case statusCountsForGroup.ImagePullBackOff == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusImagePullBackOff
-				case statusCountsForGroup.ErrImagePull == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusErrImagePull
-				case statusCountsForGroup.CreateContainerConfigError == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusCreateContainerConfigError
-				case statusCountsForGroup.ContainerCreating == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusContainerCreating
-				case statusCountsForGroup.OOMKilled == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusOOMKilled
-				case statusCountsForGroup.Completed == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusCompleted
-				case statusCountsForGroup.Error == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusError
-				case statusCountsForGroup.ContainerCannotRun == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusContainerCannotRun
-				case statusCountsForGroup.Evicted == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusEvicted
-				case statusCountsForGroup.NodeAffinity == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusNodeAffinity
-				case statusCountsForGroup.NodeLost == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusNodeLost
-				case statusCountsForGroup.Shutdown == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusShutdown
-				case statusCountsForGroup.UnexpectedAdmissionError == 1:
-					record.PodStatus = inframonitoringtypes.PodStatusUnexpectedAdmissionError
-				}
-			}
-		}
-
-		// Restart count: pod's own sum (list mode) or group total (grouped mode).
-		if restartCountForGroup, ok := restartCounts[compositeKey]; ok {
-			record.PodRestarts = restartCountForGroup
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			// podAge only makes sense when pod uid is in groupBy. Otherwise the
 			// group can contain multiple pods with different start times.
@@ -389,519 +334,3 @@ func (m *module) getPerGroupPodPhaseCounts(
 	}
 	return result, nil
 }
-
-// getPerGroupPodStatusCountsWithReqMetricChecks gates getPerGroupPodStatusCounts
-// on the required metrics being present. If any of podStatusMetricNamesList has
-// never been reported, it skips the query and returns a warning instead (the
-// status query would otherwise silently degrade to bare phase). Otherwise it
-// runs the query. The returned counts map is empty (never nil) when gated off.
-func (m *module) getPerGroupPodStatusCountsWithReqMetricChecks(
-	ctx context.Context,
-	start, end int64,
-	filter *qbtypes.Filter,
-	groupBy []qbtypes.GroupByKey,
-	pageGroups []map[string]string,
-) (map[string]podStatusCounts, *qbtypes.QueryWarnData, error) {
-	present, err := m.getMetricsExistence(ctx, podStatusMetricNamesList)
-	if err != nil {
-		return nil, nil, err
-	}
-
-	var missing []string
-	for _, name := range podStatusMetricNamesList {
-		if !present[name] {
-			missing = append(missing, name)
-		}
-	}
-	if len(missing) > 0 {
-		warning := &qbtypes.QueryWarnData{
-			Message: fmt.Sprintf(
-				"Pod status could not be computed: required metric(s) not found: %s. "+
-					"Enable the optional k8s.pod.status_reason and k8s.container.status.reason "+
-					"metrics in the k8s_cluster receiver to see pod statuses.",
-				strings.Join(missing, ", "),
-			),
-			Url: docLinkK8sClusterReceiver,
-		}
-		return map[string]podStatusCounts{}, warning, nil
-	}
-
-	counts, err := m.getPerGroupPodStatusCounts(ctx, start, end, filter, groupBy, pageGroups)
-	if err != nil {
-		return nil, nil, err
-	}
-	return counts, nil, nil
-}
-
-// getPerGroupPodStatusCounts computes per-group pod counts bucketed by each
-// pod's latest kubectl-style display status in the requested window. Caller
-// must ensure the required metrics exist (getPerGroupPodStatusCountsWithReqMetricChecks).
-// Pipeline (mirrors getPerGroupPodPhaseCounts, more CTEs):
-//
-//	phase_fps / phase_per_pod:           latest k8s.pod.phase per pod (+ groupBy cols).
-//	pod_reason_fps / pod_reason_per_pod: latest k8s.pod.status_reason per pod.
-//	container_reason_fps / container_reason_per_pod:
-//	                                     highest-priority active k8s.container.status.reason per pod.
-//	pod_status:                          display status per pod (container > pod reason > phase).
-//	countPodsPerStatus:                  per-group uniqExactIf into the fixed status buckets.
-//
-// Groups absent from the result map have implicit zero counts (caller default).
-func (m *module) getPerGroupPodStatusCounts(
-	ctx context.Context,
-	start, end int64,
-	filter *qbtypes.Filter,
-	groupBy []qbtypes.GroupByKey,
-	pageGroups []map[string]string,
-) (map[string]podStatusCounts, error) {
-	if len(pageGroups) == 0 || len(groupBy) == 0 {
-		return map[string]podStatusCounts{}, nil
-	}
-
-	// Merge user filter with page-groups IN clauses.
-	userFilterExpr := ""
-	if filter != nil {
-		userFilterExpr = filter.Expression
-	}
-	mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
-
-	samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
-	valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
-
-	// Build the merged filter clause once; it's identical across the three fps
-	// CTEs, and buildFilterClause hits the metadata store + parses the
-	// expression, so we don't want to repeat it per CTE. AddWhereClause only
-	// reads the clause, so the same instance is safe to attach to each builder.
-	var (
-		filterClause *sqlbuilder.WhereClause
-		err          error
-	)
-	if mergedFilterExpr != "" {
-		filterClause, err = m.buildFilterClause(ctx, &qbtypes.Filter{Expression: mergedFilterExpr}, start, end)
-		if err != nil {
-			return nil, err
-		}
-	}
-
-	// ----- phase_fps (carries groupBy cols) -----
-	phaseFps := sqlbuilder.NewSelectBuilder()
-	phaseFpsCols := []string{
-		"fingerprint",
-		fmt.Sprintf("JSONExtractString(labels, %s) AS pod_uid", phaseFps.Var(podUIDAttrKey)),
-	}
-	for _, key := range groupBy {
-		phaseFpsCols = append(phaseFpsCols,
-			fmt.Sprintf("JSONExtractString(labels, %s) AS %s", phaseFps.Var(key.Name), quoteIdentifier(key.Name)),
-		)
-	}
-	phaseFps.Select(phaseFpsCols...)
-	phaseFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
-	phaseFps.Where(
-		phaseFps.E("metric_name", podPhaseMetricName),
-		phaseFps.GE("unix_milli", tsAdjustedStart),
-		phaseFps.LE("unix_milli", flooredEndMs),
-	)
-	if filterClause != nil {
-		phaseFps.AddWhereClause(filterClause)
-	}
-	phaseFpsGroupBy := []string{"fingerprint", "pod_uid"}
-	for _, key := range groupBy {
-		phaseFpsGroupBy = append(phaseFpsGroupBy, quoteIdentifier(key.Name))
-	}
-	phaseFps.GroupBy(phaseFpsGroupBy...)
-	phaseFpsSQL, phaseFpsArgs := phaseFps.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- phase_per_pod -----
-	phasePerPod := sqlbuilder.NewSelectBuilder()
-	phasePerPodCols := []string{"fps.pod_uid AS pod_uid"}
-	for _, key := range groupBy {
-		col := quoteIdentifier(key.Name)
-		phasePerPodCols = append(phasePerPodCols, fmt.Sprintf("argMax(fps.%s, samples.unix_milli) AS %s", col, col))
-	}
-	phasePerPodCols = append(phasePerPodCols, fmt.Sprintf("argMax(samples.%s, samples.unix_milli) AS phase_value", valueCol))
-	phasePerPod.Select(phasePerPodCols...)
-	phasePerPod.From(fmt.Sprintf(
-		"%s.%s AS samples INNER JOIN phase_fps AS fps ON samples.fingerprint = fps.fingerprint",
-		telemetrymetrics.DBName, distributedSamplesTable,
-	))
-	phasePerPod.Where(
-		phasePerPod.E("samples.metric_name", podPhaseMetricName),
-		phasePerPod.GE("samples.unix_milli", samplesStartMs),
-		phasePerPod.L("samples.unix_milli", flooredEndMs),
-		"fps.pod_uid != ''",
-	)
-	phasePerPod.GroupBy("pod_uid")
-	phasePerPodSQL, phasePerPodArgs := phasePerPod.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- pod_reason_fps -----
-	podReasonFps := sqlbuilder.NewSelectBuilder()
-	podReasonFps.Select(
-		"fingerprint",
-		fmt.Sprintf("JSONExtractString(labels, %s) AS pod_uid", podReasonFps.Var(podUIDAttrKey)),
-	)
-	podReasonFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
-	podReasonFps.Where(
-		podReasonFps.E("metric_name", podStatusReasonMetricName),
-		podReasonFps.GE("unix_milli", tsAdjustedStart),
-		podReasonFps.LE("unix_milli", flooredEndMs),
-	)
-	if filterClause != nil {
-		podReasonFps.AddWhereClause(filterClause)
-	}
-	podReasonFps.GroupBy("fingerprint", "pod_uid")
-	podReasonFpsSQL, podReasonFpsArgs := podReasonFps.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- pod_reason_per_pod -----
-	podReasonPerPod := sqlbuilder.NewSelectBuilder()
-	podReasonPerPod.Select(
-		"fps.pod_uid AS pod_uid",
-		fmt.Sprintf("argMax(samples.%s, samples.unix_milli) AS reason_value", valueCol),
-	)
-	podReasonPerPod.From(fmt.Sprintf(
-		"%s.%s AS samples INNER JOIN pod_reason_fps AS fps ON samples.fingerprint = fps.fingerprint",
-		telemetrymetrics.DBName, distributedSamplesTable,
-	))
-	podReasonPerPod.Where(
-		podReasonPerPod.E("samples.metric_name", podStatusReasonMetricName),
-		podReasonPerPod.GE("samples.unix_milli", samplesStartMs),
-		podReasonPerPod.L("samples.unix_milli", flooredEndMs),
-		"fps.pod_uid != ''",
-	)
-	podReasonPerPod.GroupBy("pod_uid")
-	podReasonPerPodSQL, podReasonPerPodArgs := podReasonPerPod.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- container_reason_fps -----
-	containerReasonFps := sqlbuilder.NewSelectBuilder()
-	containerReasonFps.Select(
-		"fingerprint",
-		fmt.Sprintf("JSONExtractString(labels, %s) AS pod_uid", containerReasonFps.Var(podUIDAttrKey)),
-		fmt.Sprintf("JSONExtractString(labels, %s) AS container_name", containerReasonFps.Var(containerNameAttrKey)),
-		fmt.Sprintf("JSONExtractString(labels, %s) AS reason", containerReasonFps.Var(containerStatusReasonAttrKey)),
-	)
-	containerReasonFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
-	containerReasonFps.Where(
-		containerReasonFps.E("metric_name", containerStatusReasonMetricName),
-		containerReasonFps.GE("unix_milli", tsAdjustedStart),
-		containerReasonFps.LE("unix_milli", flooredEndMs),
-	)
-	if filterClause != nil {
-		containerReasonFps.AddWhereClause(filterClause)
-	}
-	containerReasonFps.GroupBy("fingerprint", "pod_uid", "container_name", "reason")
-	containerReasonFpsSQL, containerReasonFpsArgs := containerReasonFps.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- container_reason_per_pod -----
-	// Inner: latest value per (pod, container, reason) -> kills stale
-	// fingerprints from old container incarnations; keep only active (=1).
-	// Outer: highest-priority active reason per pod (waiting > terminated).
-	priorityCase := "CASE fps.reason " +
-		"WHEN 'CrashLoopBackOff' THEN 8 " +
-		"WHEN 'ImagePullBackOff' THEN 7 " +
-		"WHEN 'ErrImagePull' THEN 6 " +
-		"WHEN 'CreateContainerConfigError' THEN 5 " +
-		"WHEN 'ContainerCreating' THEN 4 " +
-		"WHEN 'OOMKilled' THEN 3 " +
-		"WHEN 'Error' THEN 2 " +
-		"WHEN 'ContainerCannotRun' THEN 1 " +
-		"ELSE 0 END"
-	containerInner := sqlbuilder.NewSelectBuilder()
-	containerInner.Select(
-		"fps.pod_uid AS pod_uid",
-		"fps.container_name AS container_name",
-		"fps.reason AS reason",
-		fmt.Sprintf("argMax(samples.%s, samples.unix_milli) AS is_active", valueCol),
-		priorityCase+" AS priority",
-	)
-	containerInner.From(fmt.Sprintf(
-		"%s.%s AS samples INNER JOIN container_reason_fps AS fps ON samples.fingerprint = fps.fingerprint",
-		telemetrymetrics.DBName, distributedSamplesTable,
-	))
-	containerInner.Where(
-		containerInner.E("samples.metric_name", containerStatusReasonMetricName),
-		containerInner.GE("samples.unix_milli", samplesStartMs),
-		containerInner.L("samples.unix_milli", flooredEndMs),
-		"fps.pod_uid != ''",
-	)
-	containerInner.GroupBy("fps.pod_uid", "fps.container_name", "fps.reason")
-	containerInner.Having("is_active = 1")
-	containerInnerSQL, containerInnerArgs := containerInner.BuildWithFlavor(sqlbuilder.ClickHouse)
-	containerPerPodSQL := fmt.Sprintf(
-		"SELECT pod_uid, argMax(reason, priority) AS active_reason FROM (%s) GROUP BY pod_uid",
-		containerInnerSQL,
-	)
-
-	// ----- pod_status (display status per pod) -----
-	// container reason > pod-level reason > phase fallback. Numeric literals
-	// match the k8s.pod.status_reason and k8s.pod.phase metric encodings.
-	displayStatusExpr := "multiIf(" +
-		"cr.active_reason != '', cr.active_reason, " +
-		"pr.reason_value = 1, 'Evicted', " +
-		"pr.reason_value = 2, 'NodeAffinity', " +
-		"pr.reason_value = 3, 'NodeLost', " +
-		"pr.reason_value = 4, 'Shutdown', " +
-		"pr.reason_value = 5, 'UnexpectedAdmissionError', " +
-		"pp.phase_value = 1, 'Pending', " +
-		"pp.phase_value = 2, 'Running', " +
-		"pp.phase_value = 3, 'Completed', " +
-		"pp.phase_value = 4, 'Failed', " +
-		"pp.phase_value = 5, 'Unknown', " +
-		"'Unknown')"
-	podStatusSelectCols := []string{"pp.pod_uid AS pod_uid"}
-	for _, key := range groupBy {
-		col := quoteIdentifier(key.Name)
-		podStatusSelectCols = append(podStatusSelectCols, fmt.Sprintf("pp.%s AS %s", col, col))
-	}
-	podStatusSelectCols = append(podStatusSelectCols, displayStatusExpr+" AS display_status")
-	podStatusSQL := fmt.Sprintf(
-		"SELECT %s FROM phase_per_pod AS pp "+
-			"LEFT JOIN pod_reason_per_pod AS pr ON pp.pod_uid = pr.pod_uid "+
-			"LEFT JOIN container_reason_per_pod AS cr ON pp.pod_uid = cr.pod_uid",
-		strings.Join(podStatusSelectCols, ", "),
-	)
-
-	// ----- countPodsPerStatus (outer SELECT) -----
-	// Fixed status order; MUST match the podStatusCounts assignment in the
-	// scan loop below.
-	statusCountCols := []string{
-		"uniqExactIf(pod_uid, display_status = 'Pending') AS pending_count",
-		"uniqExactIf(pod_uid, display_status = 'Running') AS running_count",
-		"uniqExactIf(pod_uid, display_status = 'Failed') AS failed_count",
-		"uniqExactIf(pod_uid, display_status = 'Unknown') AS unknown_count",
-		"uniqExactIf(pod_uid, display_status = 'CrashLoopBackOff') AS crash_loop_back_off_count",
-		"uniqExactIf(pod_uid, display_status = 'ImagePullBackOff') AS image_pull_back_off_count",
-		"uniqExactIf(pod_uid, display_status = 'ErrImagePull') AS err_image_pull_count",
-		"uniqExactIf(pod_uid, display_status = 'CreateContainerConfigError') AS create_container_config_error_count",
-		"uniqExactIf(pod_uid, display_status = 'ContainerCreating') AS container_creating_count",
-		"uniqExactIf(pod_uid, display_status = 'OOMKilled') AS oom_killed_count",
-		"uniqExactIf(pod_uid, display_status = 'Completed') AS completed_count",
-		"uniqExactIf(pod_uid, display_status = 'Error') AS error_count",
-		"uniqExactIf(pod_uid, display_status = 'ContainerCannotRun') AS container_cannot_run_count",
-		"uniqExactIf(pod_uid, display_status = 'Evicted') AS evicted_count",
-		"uniqExactIf(pod_uid, display_status = 'NodeAffinity') AS node_affinity_count",
-		"uniqExactIf(pod_uid, display_status = 'NodeLost') AS node_lost_count",
-		"uniqExactIf(pod_uid, display_status = 'Shutdown') AS shutdown_count",
-		"uniqExactIf(pod_uid, display_status = 'UnexpectedAdmissionError') AS unexpected_admission_error_count",
-	}
-	countSelectCols := make([]string, 0, len(groupBy)+len(statusCountCols))
-	countGroupBy := make([]string, 0, len(groupBy))
-	for _, key := range groupBy {
-		col := quoteIdentifier(key.Name)
-		countSelectCols = append(countSelectCols, col)
-		countGroupBy = append(countGroupBy, col)
-	}
-	countSelectCols = append(countSelectCols, statusCountCols...)
-	countSQL := fmt.Sprintf(
-		"SELECT %s FROM pod_status GROUP BY %s",
-		strings.Join(countSelectCols, ", "),
-		strings.Join(countGroupBy, ", "),
-	)
-
-	// Combine CTEs + outer. Arg order mirrors CTE declaration order.
-	cteFragments := []string{
-		fmt.Sprintf("phase_fps AS (%s)", phaseFpsSQL),
-		fmt.Sprintf("phase_per_pod AS (%s)", phasePerPodSQL),
-		fmt.Sprintf("pod_reason_fps AS (%s)", podReasonFpsSQL),
-		fmt.Sprintf("pod_reason_per_pod AS (%s)", podReasonPerPodSQL),
-		fmt.Sprintf("container_reason_fps AS (%s)", containerReasonFpsSQL),
-		fmt.Sprintf("container_reason_per_pod AS (%s)", containerPerPodSQL),
-		fmt.Sprintf("pod_status AS (%s)", podStatusSQL),
-	}
-	finalSQL := querybuilder.CombineCTEs(cteFragments) + countSQL
-	finalArgs := querybuilder.PrependArgs([][]any{
-		phaseFpsArgs, phasePerPodArgs,
-		podReasonFpsArgs, podReasonPerPodArgs,
-		containerReasonFpsArgs, containerInnerArgs,
-	}, nil)
-
-	rows, err := m.telemetryStore.ClickhouseDB().Query(ctx, finalSQL, finalArgs...)
-	if err != nil {
-		return nil, err
-	}
-	defer rows.Close()
-
-	result := make(map[string]podStatusCounts)
-	for rows.Next() {
-		groupVals := make([]string, len(groupBy))
-		counts := make([]uint64, len(statusCountCols))
-		scanPtrs := make([]any, 0, len(groupBy)+len(statusCountCols))
-		for i := range groupVals {
-			scanPtrs = append(scanPtrs, &groupVals[i])
-		}
-		for i := range counts {
-			scanPtrs = append(scanPtrs, &counts[i])
-		}
-		if err := rows.Scan(scanPtrs...); err != nil {
-			return nil, err
-		}
-		result[compositeKeyFromList(groupVals)] = podStatusCounts{
-			Pending:                    int(counts[0]),
-			Running:                    int(counts[1]),
-			Failed:                     int(counts[2]),
-			Unknown:                    int(counts[3]),
-			CrashLoopBackOff:           int(counts[4]),
-			ImagePullBackOff:           int(counts[5]),
-			ErrImagePull:               int(counts[6]),
-			CreateContainerConfigError: int(counts[7]),
-			ContainerCreating:          int(counts[8]),
-			OOMKilled:                  int(counts[9]),
-			Completed:                  int(counts[10]),
-			Error:                      int(counts[11]),
-			ContainerCannotRun:         int(counts[12]),
-			Evicted:                    int(counts[13]),
-			NodeAffinity:               int(counts[14]),
-			NodeLost:                   int(counts[15]),
-			Shutdown:                   int(counts[16]),
-			UnexpectedAdmissionError:   int(counts[17]),
-		}
-	}
-	if err := rows.Err(); err != nil {
-		return nil, err
-	}
-	return result, nil
-}
-
-// getPerGroupPodRestartCounts computes the absolute pod restart count per group
-// from k8s.container.restarts (default-enabled, so no existence gate). In list
-// mode (groupBy=pod_uid) each group is one pod -> its restart count; in grouped
-// mode it's the summed restarts across all pods in the group. Mirrors DD:
-// argMax(value, unix_milli) per (pod, container) takes the current cumulative
-// count from the latest incarnation (handling fingerprint staleness/pruning),
-// then sum.
-//
-//	restart_fps:        fp ↔ (pod_uid, container_name, groupBy cols) from time_series.
-//	container_restarts: INNER JOIN samples, latest restartCount per (pod, container).
-//	(outer):            per-group sum(restart_count).
-//
-// Groups absent from the result map have no data (caller default).
-func (m *module) getPerGroupPodRestartCounts(
-	ctx context.Context,
-	start, end int64,
-	filter *qbtypes.Filter,
-	groupBy []qbtypes.GroupByKey,
-	pageGroups []map[string]string,
-) (map[string]int64, error) {
-	if len(pageGroups) == 0 || len(groupBy) == 0 {
-		return map[string]int64{}, nil
-	}
-
-	// Merge user filter with page-groups IN clauses.
-	userFilterExpr := ""
-	if filter != nil {
-		userFilterExpr = filter.Expression
-	}
-	mergedFilterExpr := mergeFilterExpressions(userFilterExpr, buildPageGroupsFilterExpr(pageGroups))
-
-	samplesStartMs, flooredEndMs, tsAdjustedStart, _, localTimeSeriesTable, distributedSamplesTable, _ := alignedMetricWindow(start, end)
-	valueCol := telemetrymetrics.ValueColumnForSamplesTable(distributedSamplesTable)
-
-	var (
-		filterClause *sqlbuilder.WhereClause
-		err          error
-	)
-	if mergedFilterExpr != "" {
-		filterClause, err = m.buildFilterClause(ctx, &qbtypes.Filter{Expression: mergedFilterExpr}, start, end)
-		if err != nil {
-			return nil, err
-		}
-	}
-
-	// ----- restart_fps (carries groupBy cols) -----
-	restartFps := sqlbuilder.NewSelectBuilder()
-	restartFpsCols := []string{
-		"fingerprint",
-		fmt.Sprintf("JSONExtractString(labels, %s) AS pod_uid", restartFps.Var(podUIDAttrKey)),
-		fmt.Sprintf("JSONExtractString(labels, %s) AS container_name", restartFps.Var(containerNameAttrKey)),
-	}
-	for _, key := range groupBy {
-		restartFpsCols = append(restartFpsCols,
-			fmt.Sprintf("JSONExtractString(labels, %s) AS %s", restartFps.Var(key.Name), quoteIdentifier(key.Name)),
-		)
-	}
-	restartFps.Select(restartFpsCols...)
-	restartFps.From(fmt.Sprintf("%s.%s", telemetrymetrics.DBName, localTimeSeriesTable))
-	restartFps.Where(
-		restartFps.E("metric_name", containerRestartsMetricName),
-		restartFps.GE("unix_milli", tsAdjustedStart),
-		restartFps.LE("unix_milli", flooredEndMs),
-	)
-	if filterClause != nil {
-		restartFps.AddWhereClause(filterClause)
-	}
-	restartFpsGroupBy := []string{"fingerprint", "pod_uid", "container_name"}
-	for _, key := range groupBy {
-		restartFpsGroupBy = append(restartFpsGroupBy, quoteIdentifier(key.Name))
-	}
-	restartFps.GroupBy(restartFpsGroupBy...)
-	restartFpsSQL, restartFpsArgs := restartFps.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- container_restarts (latest cumulative count per container) -----
-	containerRestarts := sqlbuilder.NewSelectBuilder()
-	containerRestartsCols := []string{
-		"fps.pod_uid AS pod_uid",
-		"fps.container_name AS container_name",
-	}
-	for _, key := range groupBy {
-		col := quoteIdentifier(key.Name)
-		containerRestartsCols = append(containerRestartsCols, fmt.Sprintf("argMax(fps.%s, samples.unix_milli) AS %s", col, col))
-	}
-	containerRestartsCols = append(containerRestartsCols, fmt.Sprintf("argMax(samples.%s, samples.unix_milli) AS restart_count", valueCol))
-	containerRestarts.Select(containerRestartsCols...)
-	containerRestarts.From(fmt.Sprintf(
-		"%s.%s AS samples INNER JOIN restart_fps AS fps ON samples.fingerprint = fps.fingerprint",
-		telemetrymetrics.DBName, distributedSamplesTable,
-	))
-	containerRestarts.Where(
-		containerRestarts.E("samples.metric_name", containerRestartsMetricName),
-		containerRestarts.GE("samples.unix_milli", samplesStartMs),
-		containerRestarts.L("samples.unix_milli", flooredEndMs),
-		"fps.pod_uid != ''",
-	)
-	containerRestarts.GroupBy("fps.pod_uid", "fps.container_name")
-	containerRestartsSQL, containerRestartsArgs := containerRestarts.BuildWithFlavor(sqlbuilder.ClickHouse)
-
-	// ----- outer: per-group sum across containers (hence across pods) -----
-	sumSelectCols := make([]string, 0, len(groupBy)+1)
-	sumGroupBy := make([]string, 0, len(groupBy))
-	for _, key := range groupBy {
-		col := quoteIdentifier(key.Name)
-		sumSelectCols = append(sumSelectCols, col)
-		sumGroupBy = append(sumGroupBy, col)
-	}
-	sumSelectCols = append(sumSelectCols, "sum(restart_count) AS total_restarts")
-	sumSQL := fmt.Sprintf(
-		"SELECT %s FROM container_restarts GROUP BY %s",
-		strings.Join(sumSelectCols, ", "),
-		strings.Join(sumGroupBy, ", "),
-	)
-
-	cteFragments := []string{
-		fmt.Sprintf("restart_fps AS (%s)", restartFpsSQL),
-		fmt.Sprintf("container_restarts AS (%s)", containerRestartsSQL),
-	}
-	finalSQL := querybuilder.CombineCTEs(cteFragments) + sumSQL
-	finalArgs := querybuilder.PrependArgs([][]any{restartFpsArgs, containerRestartsArgs}, nil)
-
-	rows, err := m.telemetryStore.ClickhouseDB().Query(ctx, finalSQL, finalArgs...)
-	if err != nil {
-		return nil, err
-	}
-	defer rows.Close()
-
-	result := make(map[string]int64)
-	for rows.Next() {
-		groupVals := make([]string, len(groupBy))
-		var totalRestarts float64
-		scanPtrs := make([]any, 0, len(groupBy)+1)
-		for i := range groupVals {
-			scanPtrs = append(scanPtrs, &groupVals[i])
-		}
-		scanPtrs = append(scanPtrs, &totalRestarts)
-		if err := rows.Scan(scanPtrs...); err != nil {
-			return nil, err
-		}
-		result[compositeKeyFromList(groupVals)] = int64(totalRestarts)
-	}
-	if err := rows.Err(); err != nil {
-		return nil, err
-	}
-	return result, nil
-}

pkg/modules/inframonitoring/implinframonitoring/pods_constants.go

@@ -8,26 +8,11 @@ import (
 )
 
 const (
-	podUIDAttrKey                = "k8s.pod.uid"
-	podStartTimeAttrKey          = "k8s.pod.start_time"
-	containerNameAttrKey         = "k8s.container.name"
-	containerStatusReasonAttrKey = "k8s.container.status.reason"
-
-	podPhaseMetricName              = "k8s.pod.phase"
-	podStatusReasonMetricName       = "k8s.pod.status_reason"
-	containerStatusReasonMetricName = "k8s.container.status.reason"
-	containerRestartsMetricName     = "k8s.container.restarts"
+	podUIDAttrKey       = "k8s.pod.uid"
+	podStartTimeAttrKey = "k8s.pod.start_time"
+	podPhaseMetricName  = "k8s.pod.phase"
 )
 
-// podStatusMetricNamesList are the metrics required to derive the kubectl-style
-// pod display status. All three must be present (getMetricsExistence gate)
-// before getPerGroupPodStatusCounts runs.
-var podStatusMetricNamesList = []string{
-	podPhaseMetricName,
-	podStatusReasonMetricName,
-	containerStatusReasonMetricName,
-}
-
 var podUIDGroupByKey = qbtypes.GroupByKey{
 	TelemetryFieldKey: telemetrytypes.TelemetryFieldKey{
 		Name:          podUIDAttrKey,
@@ -44,9 +29,6 @@ var podsTableMetricNamesList = []string{
 	"k8s.pod.memory_request_utilization",
 	"k8s.pod.memory_limit_utilization",
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
-	"k8s.container.restarts",
 }
 
 var podAttrKeysForMetadata = []string{

pkg/modules/inframonitoring/implinframonitoring/statefulsets.go

@@ -19,7 +19,6 @@ func buildStatefulSetRecords(
 	groupBy []qbtypes.GroupByKey,
 	metadataMap map[string]map[string]string,
 	phaseCounts map[string]podPhaseCounts,
-	podStatusCounts map[string]podStatusCounts,
 ) []inframonitoringtypes.StatefulSetRecord {
 	metricsMap := parseFullQueryResponse(resp, groupBy)
 
@@ -78,10 +77,6 @@ func buildStatefulSetRecords(
 			}
 		}
 
-		if podStatusCountsForGroup, ok := podStatusCounts[compositeKey]; ok {
-			record.PodCountsByStatus = podStatusCountsToResponse(podStatusCountsForGroup)
-		}
-
 		if attrs, ok := metadataMap[compositeKey]; ok {
 			for k, v := range attrs {
 				record.Meta[k] = v

pkg/modules/inframonitoring/implinframonitoring/statefulsets_constants.go

@@ -23,8 +23,6 @@ var statefulSetNameGroupByKey = qbtypes.GroupByKey{
 // response to short-circuit cleanly when the phase metric is absent.
 var statefulSetsTableMetricNamesList = []string{
 	"k8s.pod.phase",
-	"k8s.pod.status_reason",
-	"k8s.container.status.reason",
 	"k8s.pod.cpu.usage",
 	"k8s.pod.cpu_request_utilization",
 	"k8s.pod.cpu_limit_utilization",

pkg/modules/llmpricingrule/impllmpricingrule/module.go

@@ -29,7 +29,7 @@ type module struct {
 }
 
 func NewModule(store llmpricingruletypes.Store, flagger flagger.Flagger, querier querier.Querier) llmpricingrule.Module {
-	return &module{store: store, flagger: flagger, querier: querier}
+	return &module{store: store, flagger: flagger}
 }
 
 func (module *module) List(ctx context.Context, orgID valuer.UUID, offset, limit int, search string, isOverride *bool) ([]*llmpricingruletypes.LLMPricingRule, int, error) {

pkg/telemetrymetrics/reduced_test.go

@@ -39,48 +39,48 @@ func TestReducedStatementBuilder(t *testing.T) {
 			name:  "gauge_sum_latest",
 			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationLatest, metrictypes.SpaceAggregationSum),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, anyLast(last) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, argMax(value, unix_milli) AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum_last`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, anyLast(last) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, argMax(value, unix_milli) AS per_series_value FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`sum_last`, points.computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), false, "test.metric", uint64(1746999900000), uint64(1747172760000)},
 			},
 		},
 		{
 			name:  "gauge_avg_avg",
 			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationAvg, metrictypes.SpaceAggregationAvg),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(sum) / sum(count) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, avg(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum_last`, computed_at) AS value, argMax(`count_series`, computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(sum) / sum(count) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, avg(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`sum_last`, points.computed_at) AS value, argMax(`count_series`, points.computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_last_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), false, "test.metric", uint64(1746999900000), uint64(1747172760000)},
 			},
 		},
 		{
 			name:  "gauge_min_min",
 			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationMin, metrictypes.SpaceAggregationMin),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, min(min) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, min(value) AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`min`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, min(min) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, min(value) AS per_series_value FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`min`, points.computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, min(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), false, "test.metric", uint64(1746999900000), uint64(1747172760000)},
 			},
 		},
 		{
 			name:  "gauge_max_max",
 			query: reducedQuery("test.metric", metrictypes.GaugeType, metrictypes.Unspecified, metrictypes.TimeAggregationMax, metrictypes.SpaceAggregationMax),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(value) AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`max`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(value) AS per_series_value FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`max`, points.computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_last_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, max(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), false, "test.metric", uint64(1746999900000), uint64(1747172760000)},
 			},
 		},
 		{
 			name:  "counter_sum_rate",
 			query: reducedQuery("test.metric.sum", metrictypes.SumType, metrictypes.Cumulative, metrictypes.TimeAggregationRate, metrictypes.SpaceAggregationSum),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(value) / 300 AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric.sum", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric.sum", uint64(1746999600000), uint64(1747172760000), 0, "test.metric.sum", uint64(1746999600000), uint64(1747172760000), "test.metric.sum", uint64(1746999600000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(value) / 300 AS per_series_value FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`sum`, points.computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric.sum", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric.sum", uint64(1746999600000), uint64(1747172760000), 0, "test.metric.sum", uint64(1746999600000), uint64(1747172760000), false, "test.metric.sum", uint64(1746999600000), uint64(1747172760000)},
 			},
 		},
 		{
 			name:  "counter_avg_increase",
 			query: reducedQuery("test.metric", metrictypes.SumType, metrictypes.Cumulative, metrictypes.TimeAggregationIncrease, metrictypes.SpaceAggregationAvg),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value, per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum`, computed_at) AS value, argMax(`count_series`, computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999600000), uint64(1747172760000), 0, "test.metric", uint64(1746999600000), uint64(1747172760000), "test.metric", uint64(1746999600000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value, per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`sum`, points.computed_at) AS value, argMax(`count_series`, points.computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric", uint64(1746999600000), uint64(1747172760000), 0, "test.metric", uint64(1746999600000), uint64(1747172760000), false, "test.metric", uint64(1746999600000), uint64(1747172760000)},
 			},
 		},
 		{
@@ -103,16 +103,16 @@ func TestReducedStatementBuilder(t *testing.T) {
 			name:  "histogram_p99",
 			query: reducedQuery("test.metric.bucket", metrictypes.HistogramType, metrictypes.Cumulative, metrictypes.TimeAggregationUnspecified, metrictypes.SpaceAggregationPercentile99),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, `le`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, `le`, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `le` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `le`) SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) AS value FROM __spatial_aggregation_cte GROUP BY ts ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, `le`, sum(value) / 300 AS per_series_value FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum`, computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts, `le`), __spatial_aggregation_cte AS (SELECT ts, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts, `le`) SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) AS value FROM __spatial_aggregation_cte GROUP BY ts ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric.bucket", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), 0, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT ts, `le`, multiIf(row_number() OVER rate_window = 1, nan, (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) < 0, per_series_value / (ts - lagInFrame(ts, 1) OVER rate_window), (per_series_value - lagInFrame(per_series_value, 1) OVER rate_window) / (ts - lagInFrame(ts, 1) OVER rate_window)) AS per_series_value FROM (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, `le`, max(max) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint, `le`) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts, `le` ORDER BY fingerprint, ts) WINDOW rate_window AS (PARTITION BY fingerprint ORDER BY fingerprint, ts)), __spatial_aggregation_cte AS (SELECT ts, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts, `le`) SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) AS value FROM __spatial_aggregation_cte GROUP BY ts ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, `le`, sum(value) / 300 AS per_series_value FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, `le`, argMax(`sum`, points.computed_at) AS value FROM signoz_metrics.distributed_samples_v4_reduced_sum_60s AS points INNER JOIN (SELECT fingerprint, JSONExtractString(labels, 'le') AS `le` FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint, `le`) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli, `le`) GROUP BY fingerprint, ts, `le`), __spatial_aggregation_cte AS (SELECT ts, `le`, sum(per_series_value) AS value FROM __temporal_aggregation_cte GROUP BY ts, `le`) SELECT ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.990) AS value FROM __spatial_aggregation_cte GROUP BY ts ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric.bucket", uint64(1746921600000), uint64(1747172760000), "cumulative", false, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), 0, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000), false, "test.metric.bucket", uint64(1746999900000), uint64(1747172760000)},
 			},
 		},
 		{
 			name:  "summary_avg",
 			query: reducedQuery("test.metric", metrictypes.SummaryType, metrictypes.Unspecified, metrictypes.TimeAggregationAvg, metrictypes.SpaceAggregationAvg),
 			expected: qbtypes.Statement{
-				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(sum) / sum(count) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, avg(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT reduced_fingerprint AS fingerprint, unix_milli, argMax(`sum_last`, computed_at) AS value, argMax(`count_series`, computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_last_60s WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY reduced_fingerprint, unix_milli) AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
-				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), "test.metric", uint64(1746999900000), uint64(1747172760000), false},
+				Query: "SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, sum(sum) / sum(count) AS per_series_value FROM signoz_metrics.distributed_samples_v4_agg_5m AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_1day WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND LOWER(temporality) LIKE LOWER(?) AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, ts ORDER BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, avg(per_series_value) AS value FROM __temporal_aggregation_cte WHERE isNaN(per_series_value) = ? GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) UNION ALL SELECT * FROM (WITH __temporal_aggregation_cte AS (SELECT fingerprint, toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), toIntervalSecond(300)) AS ts, avg(value) AS per_series_value, avg(weight) AS per_series_weight FROM (SELECT points.reduced_fingerprint AS fingerprint, points.unix_milli AS unix_milli, argMax(`sum_last`, points.computed_at) AS value, argMax(`count_series`, points.computed_at) AS weight FROM signoz_metrics.distributed_samples_v4_reduced_last_60s AS points INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v4_reduced WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli <= ? AND __normalized = ? GROUP BY fingerprint) AS filtered_time_series ON points.reduced_fingerprint = filtered_time_series.fingerprint WHERE metric_name IN (?) AND unix_milli >= ? AND unix_milli < ? GROUP BY fingerprint, unix_milli) GROUP BY fingerprint, ts), __spatial_aggregation_cte AS (SELECT ts, sum(per_series_value) / sum(per_series_weight) AS value FROM __temporal_aggregation_cte GROUP BY ts) SELECT * FROM __spatial_aggregation_cte ORDER BY ts) ORDER BY ts",
+				Args:  []any{"test.metric", uint64(1746921600000), uint64(1747172760000), "unspecified", false, "test.metric", uint64(1746999900000), uint64(1747172760000), 0, "test.metric", uint64(1746999900000), uint64(1747172760000), false, "test.metric", uint64(1746999900000), uint64(1747172760000)},
 			},
 		},
 	}

pkg/telemetrymetrics/statement_builder.go

@@ -337,20 +337,28 @@ func (b *MetricQueryStatementBuilder) buildReducedTemporalAggregationCTE(
 	}
 
 	// dedup recomputed buckets: latest computed_at wins per (series, 60s bucket)
+	// TODO(srikanthccv): add _5m/_30m tables similar to samples_v4
+	// and wrie them up in querier before GA
+	// TODO(srikanthccv): FINAL clause for the reduced table.
 	dedup := sqlbuilder.NewSelectBuilder()
-	dedup.Select("reduced_fingerprint AS fingerprint", "unix_milli")
-	dedup.SelectMore(fmt.Sprintf("argMax(%s, computed_at) AS value", value))
-	if weight != "" {
-		dedup.SelectMore(fmt.Sprintf("argMax(%s, computed_at) AS weight", weight))
+	dedup.Select("points.reduced_fingerprint AS fingerprint", "points.unix_milli AS unix_milli")
+	for _, g := range query.GroupBy {
+		dedup.SelectMore(fmt.Sprintf("`%s`", g.Name))
 	}
-	dedup.From(fmt.Sprintf("%s.%s", DBName, WhichReducedSamplesTableToUse(agg.Type)))
+	dedup.SelectMore(fmt.Sprintf("argMax(%s, points.computed_at) AS value", value))
+	if weight != "" {
+		dedup.SelectMore(fmt.Sprintf("argMax(%s, points.computed_at) AS weight", weight))
+	}
+	dedup.From(fmt.Sprintf("%s.%s AS points", DBName, WhichReducedSamplesTableToUse(agg.Type)))
+	dedup.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.reduced_fingerprint = filtered_time_series.fingerprint")
 	dedup.Where(
 		dedup.In("metric_name", agg.MetricName),
 		dedup.GTE("unix_milli", start),
 		dedup.LT("unix_milli", end),
 	)
-	dedup.GroupBy("reduced_fingerprint", "unix_milli")
-	dedupQuery, dedupArgs := dedup.BuildWithFlavor(sqlbuilder.ClickHouse)
+	dedup.GroupBy("fingerprint", "unix_milli")
+	dedup.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
+	dedupQuery, dedupArgs := dedup.BuildWithFlavor(sqlbuilder.ClickHouse, timeSeriesCTEArgs...)
 
 	sb := sqlbuilder.NewSelectBuilder()
 	sb.Select("fingerprint")
@@ -364,13 +372,11 @@ func (b *MetricQueryStatementBuilder) buildReducedTemporalAggregationCTE(
 		// denominator is reduced with avg
 		sb.SelectMore("avg(weight) AS per_series_weight")
 	}
-	sb.From(fmt.Sprintf("(%s) AS points", dedupQuery))
-	sb.JoinWithOption(sqlbuilder.InnerJoin, timeSeriesCTE, "points.fingerprint = filtered_time_series.fingerprint")
+	sb.From(fmt.Sprintf("(%s)", dedupQuery))
 	sb.GroupBy("fingerprint", "ts")
 	sb.GroupBy(querybuilder.GroupByKeys(query.GroupBy)...)
 
-	initArgs := append(append([]any{}, dedupArgs...), timeSeriesCTEArgs...)
-	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, initArgs...)
+	q, args := sb.BuildWithFlavor(sqlbuilder.ClickHouse, dedupArgs...)
 	return fmt.Sprintf("__temporal_aggregation_cte AS (%s)", q), args, true
 }
 

pkg/types/inframonitoringtypes/clusters.go

@@ -27,7 +27,6 @@ type ClusterRecord struct {
 	ClusterMemoryAllocatable float64               `json:"clusterMemoryAllocatable" required:"true"`
 	NodeCountsByReadiness    NodeCountsByReadiness `json:"nodeCountsByReadiness" required:"true"`
 	PodCountsByPhase         PodCountsByPhase      `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus        PodCountsByStatus     `json:"podCountsByStatus" required:"true"`
 	Meta                     map[string]string     `json:"meta" required:"true"`
 }
 

pkg/types/inframonitoringtypes/daemonsets.go

@@ -17,17 +17,16 @@ type DaemonSets struct {
 }
 
 type DaemonSetRecord struct {
-	DaemonSetName          string            `json:"daemonSetName" required:"true"`
-	DaemonSetCPU           float64           `json:"daemonSetCPU" required:"true"`
-	DaemonSetCPURequest    float64           `json:"daemonSetCPURequest" required:"true"`
-	DaemonSetCPULimit      float64           `json:"daemonSetCPULimit" required:"true"`
-	DaemonSetMemory        float64           `json:"daemonSetMemory" required:"true"`
-	DaemonSetMemoryRequest float64           `json:"daemonSetMemoryRequest" required:"true"`
-	DaemonSetMemoryLimit   float64           `json:"daemonSetMemoryLimit" required:"true"`
+	DaemonSetName          string           `json:"daemonSetName" required:"true"`
+	DaemonSetCPU           float64          `json:"daemonSetCPU" required:"true"`
+	DaemonSetCPURequest    float64          `json:"daemonSetCPURequest" required:"true"`
+	DaemonSetCPULimit      float64          `json:"daemonSetCPULimit" required:"true"`
+	DaemonSetMemory        float64          `json:"daemonSetMemory" required:"true"`
+	DaemonSetMemoryRequest float64          `json:"daemonSetMemoryRequest" required:"true"`
+	DaemonSetMemoryLimit   float64          `json:"daemonSetMemoryLimit" required:"true"`
 	DesiredNodes           int               `json:"desiredNodes" required:"true"`
 	CurrentNodes           int               `json:"currentNodes" required:"true"`
 	PodCountsByPhase       PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus      PodCountsByStatus `json:"podCountsByStatus" required:"true"`
 	Meta                   map[string]string `json:"meta" required:"true"`
 }
 

pkg/types/inframonitoringtypes/deployments.go

@@ -27,7 +27,6 @@ type DeploymentRecord struct {
 	DesiredPods             int               `json:"desiredPods" required:"true"`
 	AvailablePods           int               `json:"availablePods" required:"true"`
 	PodCountsByPhase        PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus       PodCountsByStatus `json:"podCountsByStatus" required:"true"`
 	Meta                    map[string]string `json:"meta" required:"true"`
 }
 

pkg/types/inframonitoringtypes/jobs.go

@@ -29,7 +29,6 @@ type JobRecord struct {
 	FailedPods            int               `json:"failedPods" required:"true"`
 	SuccessfulPods        int               `json:"successfulPods" required:"true"`
 	PodCountsByPhase      PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus     PodCountsByStatus `json:"podCountsByStatus" required:"true"`
 	Meta                  map[string]string `json:"meta" required:"true"`
 }
 

pkg/types/inframonitoringtypes/namespaces.go

@@ -17,12 +17,11 @@ type Namespaces struct {
 }
 
 type NamespaceRecord struct {
-	NamespaceName     string            `json:"namespaceName" required:"true"`
-	NamespaceCPU      float64           `json:"namespaceCPU" required:"true"`
-	NamespaceMemory   float64           `json:"namespaceMemory" required:"true"`
-	PodCountsByPhase  PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus PodCountsByStatus `json:"podCountsByStatus" required:"true"`
-	Meta              map[string]string `json:"meta" required:"true"`
+	NamespaceName    string            `json:"namespaceName" required:"true"`
+	NamespaceCPU     float64           `json:"namespaceCPU" required:"true"`
+	NamespaceMemory  float64           `json:"namespaceMemory" required:"true"`
+	PodCountsByPhase PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
+	Meta             map[string]string `json:"meta" required:"true"`
 }
 
 // PostableNamespaces is the request body for the v2 namespaces list API.

pkg/types/inframonitoringtypes/nodes.go

@@ -28,7 +28,6 @@ type NodeRecord struct {
 	Condition             NodeCondition         `json:"condition" required:"true"`
 	NodeCountsByReadiness NodeCountsByReadiness `json:"nodeCountsByReadiness" required:"true"`
 	PodCountsByPhase      PodCountsByPhase      `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus     PodCountsByStatus     `json:"podCountsByStatus" required:"true"`
 	NodeCPU               float64               `json:"nodeCPU" required:"true"`
 	NodeCPUAllocatable    float64               `json:"nodeCPUAllocatable" required:"true"`
 	NodeMemory            float64               `json:"nodeMemory" required:"true"`

pkg/types/inframonitoringtypes/pods.go

@@ -26,49 +26,18 @@ type PodCountsByPhase struct {
 	Unknown   int `json:"unknown" required:"true"`
 }
 
-// PodCountsByStatus buckets pod counts by their latest kubectl-style display
-// status in the time window (see PodStatus). One field per derivable status.
-type PodCountsByStatus struct {
-	// Phase fallback.
-	Pending int `json:"pending" required:"true"`
-	Running int `json:"running" required:"true"`
-	Failed  int `json:"failed" required:"true"`
-	Unknown int `json:"unknown" required:"true"`
-
-	// Container-level reasons.
-	CrashLoopBackOff           int `json:"crashLoopBackOff" required:"true"`
-	ImagePullBackOff           int `json:"imagePullBackOff" required:"true"`
-	ErrImagePull               int `json:"errImagePull" required:"true"`
-	CreateContainerConfigError int `json:"createContainerConfigError" required:"true"`
-	ContainerCreating          int `json:"containerCreating" required:"true"`
-	OOMKilled                  int `json:"oomKilled" required:"true"`
-	Completed                  int `json:"completed" required:"true"`
-	Error                      int `json:"error" required:"true"`
-	ContainerCannotRun         int `json:"containerCannotRun" required:"true"`
-
-	// Pod-level reasons.
-	Evicted                  int `json:"evicted" required:"true"`
-	NodeAffinity             int `json:"nodeAffinity" required:"true"`
-	NodeLost                 int `json:"nodeLost" required:"true"`
-	Shutdown                 int `json:"shutdown" required:"true"`
-	UnexpectedAdmissionError int `json:"unexpectedAdmissionError" required:"true"`
-}
-
 type PodRecord struct {
-	PodUID            string            `json:"podUID" required:"true"`
-	PodCPU            float64           `json:"podCPU" required:"true"`
-	PodCPURequest     float64           `json:"podCPURequest" required:"true"`
-	PodCPULimit       float64           `json:"podCPULimit" required:"true"`
-	PodMemory         float64           `json:"podMemory" required:"true"`
-	PodMemoryRequest  float64           `json:"podMemoryRequest" required:"true"`
-	PodMemoryLimit    float64           `json:"podMemoryLimit" required:"true"`
-	PodPhase          PodPhase          `json:"podPhase" required:"true"`
-	PodCountsByPhase  PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
-	PodStatus         PodStatus         `json:"podStatus" required:"true"`
-	PodCountsByStatus PodCountsByStatus `json:"podCountsByStatus" required:"true"`
-	PodRestarts       int64             `json:"podRestarts" required:"true"`
-	PodAge            int64             `json:"podAge" required:"true"`
-	Meta              map[string]string `json:"meta" required:"true"`
+	PodUID           string            `json:"podUID" required:"true"`
+	PodCPU           float64           `json:"podCPU" required:"true"`
+	PodCPURequest    float64           `json:"podCPURequest" required:"true"`
+	PodCPULimit      float64           `json:"podCPULimit" required:"true"`
+	PodMemory        float64           `json:"podMemory" required:"true"`
+	PodMemoryRequest float64           `json:"podMemoryRequest" required:"true"`
+	PodMemoryLimit   float64           `json:"podMemoryLimit" required:"true"`
+	PodPhase         PodPhase          `json:"podPhase" required:"true"`
+	PodCountsByPhase PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
+	PodAge           int64             `json:"podAge" required:"true"`
+	Meta             map[string]string `json:"meta" required:"true"`
 }
 
 // PostablePods is the request body for the v2 pods list API.

pkg/types/inframonitoringtypes/pods_constants.go

@@ -26,70 +26,6 @@ func (PodPhase) Enum() []any {
 	}
 }
 
-// PodStatus is the kubectl-style pod display status, derived from
-// k8s.pod.phase + k8s.pod.status_reason + k8s.container.status.reason
-// (priority cascade: container reason > pod-level reason > phase).
-// Wire values are lowercased by valuer.NewString (e.g. "crashloopbackoff");
-// the comment strings below are the kubectl spelling for readability. The
-// query emits kubectl-style strings, so SQL output maps to these constants
-// explicitly (not by raw string-wrapping).
-type PodStatus struct {
-	valuer.String
-}
-
-var (
-	// Phase fallback.
-	PodStatusPending = PodStatus{valuer.NewString("Pending")}
-	PodStatusRunning = PodStatus{valuer.NewString("Running")}
-	PodStatusFailed  = PodStatus{valuer.NewString("Failed")}
-	PodStatusUnknown = PodStatus{valuer.NewString("Unknown")}
-
-	// Container-level reasons (k8s.container.status.reason allowlist).
-	PodStatusCrashLoopBackOff           = PodStatus{valuer.NewString("CrashLoopBackOff")}
-	PodStatusImagePullBackOff           = PodStatus{valuer.NewString("ImagePullBackOff")}
-	PodStatusErrImagePull               = PodStatus{valuer.NewString("ErrImagePull")}
-	PodStatusCreateContainerConfigError = PodStatus{valuer.NewString("CreateContainerConfigError")}
-	PodStatusContainerCreating          = PodStatus{valuer.NewString("ContainerCreating")}
-	PodStatusOOMKilled                  = PodStatus{valuer.NewString("OOMKilled")}
-	PodStatusCompleted                  = PodStatus{valuer.NewString("Completed")}
-	PodStatusError                      = PodStatus{valuer.NewString("Error")}
-	PodStatusContainerCannotRun         = PodStatus{valuer.NewString("ContainerCannotRun")}
-
-	// Pod-level reasons (k8s.pod.status_reason).
-	PodStatusEvicted                  = PodStatus{valuer.NewString("Evicted")}
-	PodStatusNodeAffinity             = PodStatus{valuer.NewString("NodeAffinity")}
-	PodStatusNodeLost                 = PodStatus{valuer.NewString("NodeLost")}
-	PodStatusShutdown                 = PodStatus{valuer.NewString("Shutdown")}
-	PodStatusUnexpectedAdmissionError = PodStatus{valuer.NewString("UnexpectedAdmissionError")}
-
-	// Sentinel when status cannot be derived (metrics absent / not in list view).
-	PodStatusNoData = PodStatus{valuer.NewString("no_data")}
-)
-
-func (PodStatus) Enum() []any {
-	return []any{
-		PodStatusPending,
-		PodStatusRunning,
-		PodStatusFailed,
-		PodStatusUnknown,
-		PodStatusCrashLoopBackOff,
-		PodStatusImagePullBackOff,
-		PodStatusErrImagePull,
-		PodStatusCreateContainerConfigError,
-		PodStatusContainerCreating,
-		PodStatusOOMKilled,
-		PodStatusCompleted,
-		PodStatusError,
-		PodStatusContainerCannotRun,
-		PodStatusEvicted,
-		PodStatusNodeAffinity,
-		PodStatusNodeLost,
-		PodStatusShutdown,
-		PodStatusUnexpectedAdmissionError,
-		PodStatusNoData,
-	}
-}
-
 // Numeric pod phase values emitted by the k8s.pod.phase metric
 // (source: OTel kubeletstats receiver).
 const (

pkg/types/inframonitoringtypes/statefulsets.go

@@ -27,7 +27,6 @@ type StatefulSetRecord struct {
 	DesiredPods              int               `json:"desiredPods" required:"true"`
 	CurrentPods              int               `json:"currentPods" required:"true"`
 	PodCountsByPhase         PodCountsByPhase  `json:"podCountsByPhase" required:"true"`
-	PodCountsByStatus        PodCountsByStatus `json:"podCountsByStatus" required:"true"`
 	Meta                     map[string]string `json:"meta" required:"true"`
 }
 

tests/fixtures/clickhouse.py

@@ -2,6 +2,7 @@ import os
 from collections.abc import Callable, Generator
 from datetime import datetime
 from typing import Any
+from uuid import uuid4
 
 import clickhouse_connect
 import clickhouse_connect.driver
@@ -10,37 +11,93 @@ import docker
 import docker.errors
 import pytest
 from testcontainers.clickhouse import ClickHouseContainer
-from testcontainers.core.container import Network
+from testcontainers.core.container import DockerContainer, Network
 
 from fixtures import reuse, types
 from fixtures.logger import setup_logger
 
 logger = setup_logger(__name__)
 
+CLICKHOUSE_USERNAME = "signoz"
+CLICKHOUSE_PASSWORD = "password"
 
-@pytest.fixture(name="clickhouse", scope="package")
-def clickhouse(
-    tmpfs: Generator[types.LegacyPath, Any],
-    network: Network,
-    zookeeper: types.TestContainerDocker,
-    request: pytest.FixtureRequest,
-    pytestconfig: pytest.Config,
-) -> types.TestContainerClickhouse:
-    """
-    Package-scoped fixture for Clickhouse TestContainer.
+CUSTOM_FUNCTION_CONFIG = """
+<functions>
+    <function>
+        <type>executable</type>
+        <name>histogramQuantile</name>
+        <return_type>Float64</return_type>
+        <argument>
+            <type>Array(Float64)</type>
+            <name>buckets</name>
+        </argument>
+        <argument>
+            <type>Array(Float64)</type>
+            <name>counts</name>
+        </argument>
+        <argument>
+            <type>Float64</type>
+            <name>quantile</name>
+        </argument>
+        <format>CSV</format>
+        <command>./histogramQuantile</command>
+    </function>
+</functions>
+"""
+
+# Distributed inserts to a remote shard are async by default. We force
+# sycn at the profile level for deterministic tests.
+CLUSTER_USERS_CONFIG = """
+<clickhouse>
+    <profiles>
+        <default>
+            <insert_distributed_sync>1</insert_distributed_sync>
+        </default>
+    </profiles>
+</clickhouse>
+"""
+
+
+def render_remote_servers(shard_hosts: list[tuple[str, int]], secret: str | None = None) -> str:
+    """Render the <remote_servers> block for a cluster named `cluster` with one
+    single-replica shard per (host, port).
     """
+    shards = "".join(
+        f"""
+                <shard>
+                    <replica>
+                        <host>{host}</host>
+                        <port>{port}</port>
+                    </replica>
+                </shard>"""
+        for host, port in shard_hosts
+    )
 
-    def create() -> types.TestContainerClickhouse:
-        version = request.config.getoption("--clickhouse-version")
+    # Multi-node clusters need `secret` because distributed queries otherwise
+    # authenticate as the `default` user, which the docker entrypoint restricts
+    # to localhost when a custom user is configured.
+    secret_block = (
+        f"""
+                    <secret>{secret}</secret>"""
+        if secret
+        else ""
+    )
 
-        container = ClickHouseContainer(
-            image=f"clickhouse/clickhouse-server:{version}",
-            port=9000,
-            username="signoz",
-            password="password",
-        )
+    return f"""
+            <remote_servers>
+                <cluster>{secret_block}{shards}
+                </cluster>
+            </remote_servers>"""
 
-        cluster_config = f"""
+
+def render_node_config(
+    zookeeper_address: str,
+    zookeeper_port: int,
+    shard: str,
+    remote_servers: str,
+    distributed_ddl_path: str = "/clickhouse/task_queue/ddl",
+) -> str:
+    return f"""
         <clickhouse>
             <logger>
                 <level>information</level>
@@ -55,33 +112,23 @@ def clickhouse(
             </logger>
 
             <macros>
-                <shard>01</shard>
+                <shard>{shard}</shard>
                 <replica>01</replica>
             </macros>
 
             <zookeeper>
                 <node>
-                    <host>{zookeeper.container_configs["2181"].address}</host>
-                    <port>{zookeeper.container_configs["2181"].port}</port>
+                    <host>{zookeeper_address}</host>
+                    <port>{zookeeper_port}</port>
                 </node>
             </zookeeper>
-
-            <remote_servers>
-                <cluster>
-                    <shard>
-                        <replica>
-                            <host>127.0.0.1</host>
-                            <port>9000</port>
-                        </replica>
-                    </shard>
-                </cluster>
-            </remote_servers>
+{remote_servers}
 
             <user_defined_executable_functions_config>*function.xml</user_defined_executable_functions_config>
             <user_scripts_path>/var/lib/clickhouse/user_scripts/</user_scripts_path>
 
             <distributed_ddl>
-                <path>/clickhouse/task_queue/ddl</path>
+                <path>{distributed_ddl_path}</path>
                 <profile>default</profile>
             </distributed_ddl>
 
@@ -122,38 +169,66 @@ def clickhouse(
         </clickhouse>
         """
 
-        custom_function_config = """
-        <functions>
-            <function>
-                <type>executable</type>
-                <name>histogramQuantile</name>
-                <return_type>Float64</return_type>
-                <argument>
-                    <type>Array(Float64)</type>
-                    <name>buckets</name>
-                </argument>
-                <argument>
-                    <type>Array(Float64)</type>
-                    <name>counts</name>
-                </argument>
-                <argument>
-                    <type>Float64</type>
-                    <name>quantile</name>
-                </argument>
-                <format>CSV</format>
-                <command>./histogramQuantile</command>
-            </function>
-        </functions>
-        """
 
-        tmp_dir = tmpfs("clickhouse")
+def install_histogram_quantile(container: ClickHouseContainer) -> None:
+    wrapped = container.get_wrapped_container()
+    exit_code, output = wrapped.exec_run(
+        [
+            "bash",
+            "-c",
+            (
+                'version="v0.0.1" && '
+                'node_os=$(uname -s | tr "[:upper:]" "[:lower:]") && '
+                "node_arch=$(uname -m | sed s/aarch64/arm64/ | sed s/x86_64/amd64/) && "
+                "cd /tmp && "
+                'wget -O histogram-quantile.tar.gz "https://github.com/SigNoz/signoz/releases/download/histogram-quantile%2F${version}/histogram-quantile_${node_os}_${node_arch}.tar.gz" && '
+                "tar -xzf histogram-quantile.tar.gz && "
+                "mkdir -p /var/lib/clickhouse/user_scripts && "
+                "mv histogram-quantile /var/lib/clickhouse/user_scripts/histogramQuantile && "
+                "chmod +x /var/lib/clickhouse/user_scripts/histogramQuantile"
+            ),
+        ],
+    )
+    if exit_code != 0:
+        raise RuntimeError(f"Failed to install histogramQuantile binary: {output.decode()}")
+
+
+def create_clickhouse(  # pylint: disable=too-many-arguments,too-many-positional-arguments
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    keeper: types.TestContainerDocker,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+    cache_key: str = "clickhouse",
+    version: str | None = None,
+) -> types.TestContainerClickhouse:
+    coordinator = next(iter(keeper.container_configs.values()))
+
+    def create() -> types.TestContainerClickhouse:
+        clickhouse_version = version or request.config.getoption("--clickhouse-version")
+
+        container = ClickHouseContainer(
+            image=f"clickhouse/clickhouse-server:{clickhouse_version}",
+            port=9000,
+            username=CLICKHOUSE_USERNAME,
+            password=CLICKHOUSE_PASSWORD,
+        )
+
+        cluster_config = render_node_config(
+            zookeeper_address=coordinator.address,
+            zookeeper_port=coordinator.port,
+            shard="01",
+            remote_servers=render_remote_servers([("127.0.0.1", 9000)]),
+        )
+
+        tmp_dir = tmpfs(cache_key)
         cluster_config_file_path = os.path.join(tmp_dir, "cluster.xml")
         with open(cluster_config_file_path, "w", encoding="utf-8") as f:
             f.write(cluster_config)
 
         custom_function_file_path = os.path.join(tmp_dir, "custom-function.xml")
         with open(custom_function_file_path, "w", encoding="utf-8") as f:
-            f.write(custom_function_config)
+            f.write(CUSTOM_FUNCTION_CONFIG)
 
         container.with_volume_mapping(cluster_config_file_path, "/etc/clickhouse-server/config.d/cluster.xml")
         container.with_volume_mapping(
@@ -163,27 +238,7 @@ def clickhouse(
         container.with_network(network)
         container.start()
 
-        # Download and install the histogramQuantile binary
-        wrapped = container.get_wrapped_container()
-        exit_code, output = wrapped.exec_run(
-            [
-                "bash",
-                "-c",
-                (
-                    'version="v0.0.1" && '
-                    'node_os=$(uname -s | tr "[:upper:]" "[:lower:]") && '
-                    "node_arch=$(uname -m | sed s/aarch64/arm64/ | sed s/x86_64/amd64/) && "
-                    "cd /tmp && "
-                    'wget -O histogram-quantile.tar.gz "https://github.com/SigNoz/signoz/releases/download/histogram-quantile%2F${version}/histogram-quantile_${node_os}_${node_arch}.tar.gz" && '
-                    "tar -xzf histogram-quantile.tar.gz && "
-                    "mkdir -p /var/lib/clickhouse/user_scripts && "
-                    "mv histogram-quantile /var/lib/clickhouse/user_scripts/histogramQuantile && "
-                    "chmod +x /var/lib/clickhouse/user_scripts/histogramQuantile"
-                ),
-            ],
-        )
-        if exit_code != 0:
-            raise RuntimeError(f"Failed to install histogramQuantile binary: {output.decode()}")
+        install_histogram_quantile(container)
 
         connection = clickhouse_connect.get_client(
             user=container.username,
@@ -253,7 +308,7 @@ def clickhouse(
     return reuse.wrap(
         request,
         pytestconfig,
-        "clickhouse",
+        cache_key,
         empty=lambda: types.TestContainerSQL(
             container=types.TestContainerDocker(id="", host_configs={}, container_configs={}),
             conn=None,
@@ -265,6 +320,334 @@ def clickhouse(
     )
 
 
+@pytest.fixture(name="clickhouse", scope="package")
+def clickhouse(
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    zookeeper: types.TestContainerDocker,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerClickhouse:
+    """
+    Package-scoped fixture for Clickhouse TestContainer.
+    """
+    return create_clickhouse(
+        tmpfs=tmpfs,
+        network=network,
+        keeper=zookeeper,
+        request=request,
+        pytestconfig=pytestconfig,
+    )
+
+
+def local_series_counts(
+    node_conns: list[clickhouse_connect.driver.client.Client],
+    table: str,
+    metric_name: str,
+) -> list[int]:
+    """Distinct series per node via the LOCAL (non-distributed) table."""
+    return [
+        int(
+            conn.query(
+                f"SELECT count(DISTINCT fingerprint) FROM signoz_metrics.{table} WHERE metric_name = %(metric_name)s",
+                parameters={"metric_name": metric_name},
+            ).result_rows[0][0]
+        )
+        for conn in node_conns
+    ]
+
+
+def assert_spans_shards(
+    node_conns: list[clickhouse_connect.driver.client.Client],
+    table: str,
+    metric_name: str,
+    total: int,
+) -> None:
+    """Guard for distributed tests: a green run on a cluster proves nothing
+    unless the seeded series actually landed on more than one shard."""
+    counts = local_series_counts(node_conns, table, metric_name)
+    assert sum(counts) == total, f"expected {total} series in {table} across shards, got {counts}"
+    assert min(counts) > 0, f"seeded series in {table} all landed on one shard: {counts}"
+
+
+@pytest.fixture(name="clickhouse_node_conns", scope="function")
+def clickhouse_node_conns(
+    clickhouse: types.TestContainerClickhouse,
+) -> Generator[list[clickhouse_connect.driver.client.Client], Any]:
+    """Per-node clients (index 0 = the initiator) for asserting shard-local
+    state via the local, non-distributed tables. Empty for single-node
+    fixtures, which don't populate `nodes`."""
+    conns = [
+        clickhouse_connect.get_client(
+            user=clickhouse.env["SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_USERNAME"],
+            password=clickhouse.env["SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_PASSWORD"],
+            host=node.host_configs["8123"].address,
+            port=node.host_configs["8123"].port,
+        )
+        for node in clickhouse.nodes
+    ]
+    yield conns
+    for conn in conns:
+        conn.close()
+
+
+KEEPER_CONFIG = """
+<clickhouse>
+    <listen_host>0.0.0.0</listen_host>
+    <keeper_server>
+        <tcp_port>9181</tcp_port>
+        <server_id>1</server_id>
+        <log_storage_path>/var/lib/clickhouse-keeper/coordination/log</log_storage_path>
+        <snapshot_storage_path>/var/lib/clickhouse-keeper/coordination/snapshots</snapshot_storage_path>
+        <coordination_settings>
+            <operation_timeout_ms>10000</operation_timeout_ms>
+            <session_timeout_ms>30000</session_timeout_ms>
+            <raft_logs_level>warning</raft_logs_level>
+        </coordination_settings>
+        <raft_configuration>
+            <server>
+                <id>1</id>
+                <hostname>localhost</hostname>
+                <port>9234</port>
+            </server>
+        </raft_configuration>
+    </keeper_server>
+</clickhouse>
+"""
+
+
+def create_clickhouse_keeper(
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+    cache_key: str = "clickhousekeeper",
+    version: str | None = None,
+) -> types.TestContainerDocker:
+
+    def create() -> types.TestContainerDocker:
+        keeper_version = version or request.config.getoption("--clickhouse-version")
+
+        tmp_dir = tmpfs(cache_key)
+        keeper_config_file_path = os.path.join(tmp_dir, "keeper_config.xml")
+        with open(keeper_config_file_path, "w", encoding="utf-8") as f:
+            f.write(KEEPER_CONFIG)
+
+        container = DockerContainer(image=f"clickhouse/clickhouse-keeper:{keeper_version}")
+        container.with_volume_mapping(keeper_config_file_path, "/etc/clickhouse-keeper/keeper_config.xml")
+        container.with_exposed_ports(9181)
+        container.with_network(network=network)
+
+        container.start()
+        return types.TestContainerDocker(
+            id=container.get_wrapped_container().id,
+            host_configs={
+                "9181": types.TestContainerUrlConfig(
+                    scheme="tcp",
+                    address=container.get_container_host_ip(),
+                    port=container.get_exposed_port(9181),
+                )
+            },
+            container_configs={
+                "9181": types.TestContainerUrlConfig(
+                    scheme="tcp",
+                    address=container.get_wrapped_container().name,
+                    port=9181,
+                )
+            },
+        )
+
+    def delete(container: types.TestContainerDocker):
+        client = docker.from_env()
+        try:
+            client.containers.get(container_id=container.id).stop()
+            client.containers.get(container_id=container.id).remove(v=True)
+        except docker.errors.NotFound:
+            logger.info(
+                "Skipping removal of ClickHouse Keeper, Keeper(%s) not found. Maybe it was manually removed?",
+                {"id": container.id},
+            )
+
+    def restore(cache: dict) -> types.TestContainerDocker:
+        return types.TestContainerDocker.from_cache(cache)
+
+    return reuse.wrap(
+        request,
+        pytestconfig,
+        cache_key,
+        lambda: types.TestContainerDocker(id="", host_configs={}, container_configs={}),
+        create,
+        delete,
+        restore,
+    )
+
+
+def create_clickhouse_cluster(  # pylint: disable=too-many-arguments,too-many-positional-arguments
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    keeper: types.TestContainerDocker,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+    cache_key: str = "clickhouse_cluster",
+    shards: int = 2,
+    version: str | None = None,
+) -> types.TestContainerClickhouse:
+    """
+    To some extent, taken inspiration from how ClickHouse's own integration
+    harness composes real clusters: deterministic hostnames
+    (network aliases), per-node shard macros, and a shared cluster definition
+    named `cluster`.
+
+    `conn`/`env` point at node 1 i.e the initiator every query-service query and
+    migration goes through. Per-node containers are exposed via `nodes` so
+    tests can assert shard-local state. `keeper` is any coordination service
+    (ZooKeeper or ClickHouse Keeper).
+    """
+    coordinator = next(iter(keeper.container_configs.values()))
+
+    def create() -> types.TestContainerClickhouse:
+        clickhouse_version = version or request.config.getoption("--clickhouse-version")
+
+        # Unique aliases per creation: docker allows duplicate network aliases
+        # (DNS round-robin), so a stale cluster must never share names with a
+        # fresh one.
+        suffix = uuid4().hex[:6]
+        aliases = [f"signoz-ch-{suffix}-{i:02d}" for i in range(1, shards + 1)]
+        remote_servers = render_remote_servers([(alias, 9000) for alias in aliases], secret=cache_key)
+        # Own DDL queue path: the keeper instance may be shared with other
+        # environments under --reuse; its DDL queue stays separate.
+        distributed_ddl_path = f"/clickhouse/{cache_key}-{suffix}/task_queue/ddl"
+
+        nodes: list[types.TestContainerDocker] = []
+        started: list[ClickHouseContainer] = []
+        try:
+            for i, alias in enumerate(aliases, start=1):
+                node_config = render_node_config(
+                    zookeeper_address=coordinator.address,
+                    zookeeper_port=coordinator.port,
+                    shard=f"{i:02d}",
+                    remote_servers=remote_servers,
+                    distributed_ddl_path=distributed_ddl_path,
+                )
+
+                tmp_dir = tmpfs(f"clickhouse-{suffix}-{i:02d}")
+                cluster_config_file_path = os.path.join(tmp_dir, "cluster.xml")
+                with open(cluster_config_file_path, "w", encoding="utf-8") as f:
+                    f.write(node_config)
+                custom_function_file_path = os.path.join(tmp_dir, "custom-function.xml")
+                with open(custom_function_file_path, "w", encoding="utf-8") as f:
+                    f.write(CUSTOM_FUNCTION_CONFIG)
+                users_config_file_path = os.path.join(tmp_dir, "users.xml")
+                with open(users_config_file_path, "w", encoding="utf-8") as f:
+                    f.write(CLUSTER_USERS_CONFIG)
+
+                container = ClickHouseContainer(
+                    image=f"clickhouse/clickhouse-server:{clickhouse_version}",
+                    port=9000,
+                    username=CLICKHOUSE_USERNAME,
+                    password=CLICKHOUSE_PASSWORD,
+                )
+                container.with_volume_mapping(cluster_config_file_path, "/etc/clickhouse-server/config.d/cluster.xml")
+                container.with_volume_mapping(custom_function_file_path, "/etc/clickhouse-server/custom-function.xml")
+                container.with_volume_mapping(users_config_file_path, "/etc/clickhouse-server/users.d/integration-cluster.xml")
+                container.with_network(network)
+                container.with_network_aliases(alias)
+                container.start()
+                started.append(container)
+
+                install_histogram_quantile(container)
+
+                nodes.append(
+                    types.TestContainerDocker(
+                        id=container.get_wrapped_container().id,
+                        host_configs={
+                            "9000": types.TestContainerUrlConfig(
+                                "tcp",
+                                container.get_container_host_ip(),
+                                container.get_exposed_port(9000),
+                            ),
+                            "8123": types.TestContainerUrlConfig(
+                                "tcp",
+                                container.get_container_host_ip(),
+                                container.get_exposed_port(8123),
+                            ),
+                        },
+                        container_configs={
+                            "9000": types.TestContainerUrlConfig("tcp", alias, 9000),
+                            "8123": types.TestContainerUrlConfig("tcp", alias, 8123),
+                        },
+                    )
+                )
+        except Exception:
+            for container in started:
+                container.stop()
+            raise
+
+        connection = clickhouse_connect.get_client(
+            user=CLICKHOUSE_USERNAME,
+            password=CLICKHOUSE_PASSWORD,
+            host=nodes[0].host_configs["8123"].address,
+            port=nodes[0].host_configs["8123"].port,
+        )
+
+        return types.TestContainerClickhouse(
+            container=nodes[0],
+            conn=connection,
+            env={
+                "SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_DSN": f"tcp://{CLICKHOUSE_USERNAME}:{CLICKHOUSE_PASSWORD}@{aliases[0]}:{9000}",
+                "SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_USERNAME": CLICKHOUSE_USERNAME,
+                "SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_PASSWORD": CLICKHOUSE_PASSWORD,
+                "SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_CLUSTER": "cluster",
+            },
+            nodes=nodes,
+        )
+
+    def delete(resource: types.TestContainerClickhouse) -> None:
+        client = docker.from_env()
+        for node in resource.nodes or [resource.container]:
+            try:
+                client.containers.get(container_id=node.id).stop()
+                client.containers.get(container_id=node.id).remove(v=True)
+            except docker.errors.NotFound:
+                logger.info(
+                    "Skipping removal of Clickhouse cluster node, node(%s) not found. Maybe it was manually removed?",
+                    {"id": node.id},
+                )
+
+    def restore(cache: dict) -> types.TestContainerClickhouse:
+        nodes = [types.TestContainerDocker.from_cache(node) for node in cache["nodes"]]
+        env = cache["env"]
+        host_config = nodes[0].host_configs["8123"]
+
+        conn = clickhouse_connect.get_client(
+            user=env["SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_USERNAME"],
+            password=env["SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_PASSWORD"],
+            host=host_config.address,
+            port=host_config.port,
+        )
+
+        return types.TestContainerClickhouse(
+            container=nodes[0],
+            conn=conn,
+            env=env,
+            nodes=nodes,
+        )
+
+    return reuse.wrap(
+        request,
+        pytestconfig,
+        cache_key,
+        empty=lambda: types.TestContainerClickhouse(
+            container=types.TestContainerDocker(id="", host_configs={}, container_configs={}),
+            conn=None,
+            env={},
+        ),
+        create=create,
+        delete=delete,
+        restore=restore,
+    )
+
+
 @pytest.fixture(name="check_query_log")
 def check_query_log(
     signoz: types.SigNoz,

tests/fixtures/http.py

@@ -18,19 +18,22 @@ from fixtures.logger import setup_logger
 logger = setup_logger(__name__)
 
 
-@pytest.fixture(name="zeus", scope="package")
-def zeus(
+ZEUS_NETWORK_ALIAS = "signoz-zeus-it"
+
+
+def create_zeus(
     network: Network,
     request: pytest.FixtureRequest,
     pytestconfig: pytest.Config,
+    cache_key: str = "zeus",
+    alias: str | None = None,
 ) -> types.TestContainerDocker:
-    """
-    Package-scoped fixture for running zeus
-    """
 
     def create() -> types.TestContainerDocker:
         container = WireMockContainer(image="wiremock/wiremock:2.35.1-1", secure=False)
         container.with_network(network)
+        if alias:
+            container.with_network_aliases(alias)
         container.start()
 
         return types.TestContainerDocker(
@@ -42,7 +45,7 @@ def zeus(
                     container.get_exposed_port(8080),
                 )
             },
-            container_configs={"8080": types.TestContainerUrlConfig("http", container.get_wrapped_container().name, 8080)},
+            container_configs={"8080": types.TestContainerUrlConfig("http", alias or container.get_wrapped_container().name, 8080)},
         )
 
     def delete(container: types.TestContainerDocker):
@@ -62,7 +65,7 @@ def zeus(
     return reuse.wrap(
         request,
         pytestconfig,
-        "zeus",
+        cache_key,
         lambda: types.TestContainerDocker(id="", host_configs={}, container_configs={}),
         create,
         delete,
@@ -70,6 +73,18 @@ def zeus(
     )
 
 
+@pytest.fixture(name="zeus", scope="package")
+def zeus(
+    network: Network,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerDocker:
+    """
+    Package-scoped fixture for running zeus
+    """
+    return create_zeus(network=network, request=request, pytestconfig=pytestconfig)
+
+
 @pytest.fixture(name="gateway", scope="package")
 def gateway(
     network: Network,

tests/fixtures/inframonitoring.py

@@ -1,52 +0,0 @@
-"""Shared constants/helpers for v2 infra-monitoring pod-status tests."""
-
-# All 18 PodCountsByStatus buckets (camelCase, matches inframonitoringtypes.PodCountsByStatus / the API response).
-STATUS_BUCKETS = (
-    "pending",
-    "running",
-    "failed",
-    "unknown",
-    "crashLoopBackOff",
-    "imagePullBackOff",
-    "errImagePull",
-    "createContainerConfigError",
-    "containerCreating",
-    "oomKilled",
-    "completed",
-    "error",
-    "containerCannotRun",
-    "evicted",
-    "nodeAffinity",
-    "nodeLost",
-    "shutdown",
-    "unexpectedAdmissionError",
-)
-
-# Maps a PodStatus wire value (lowercase) to its PodCountsByStatus bucket key (camelCase).
-STATUS_TO_BUCKET = {
-    "pending": "pending",
-    "running": "running",
-    "failed": "failed",
-    "unknown": "unknown",
-    "crashloopbackoff": "crashLoopBackOff",
-    "imagepullbackoff": "imagePullBackOff",
-    "errimagepull": "errImagePull",
-    "createcontainerconfigerror": "createContainerConfigError",
-    "containercreating": "containerCreating",
-    "oomkilled": "oomKilled",
-    "completed": "completed",
-    "error": "error",
-    "containercannotrun": "containerCannotRun",
-    "evicted": "evicted",
-    "nodeaffinity": "nodeAffinity",
-    "nodelost": "nodeLost",
-    "shutdown": "shutdown",
-    "unexpectedadmissionerror": "unexpectedAdmissionError",
-}
-
-
-def expected_status_counts(**nonzero: int) -> dict:
-    """Full 19-bucket PodCountsByStatus with the given buckets set, rest 0."""
-    counts = {bucket: 0 for bucket in STATUS_BUCKETS}
-    counts.update(nonzero)
-    return counts

tests/fixtures/metricreduction.py

@@ -0,0 +1,51 @@
+import datetime
+from collections.abc import Sequence
+
+from fixtures.metrics import MetricsBufferSample, MetricsBufferTimeSeries
+
+
+def build_ruled_gauge_buffer(
+    metric_name: str,
+    base_epoch: int,
+    services: Sequence[str],
+    pods_per_service: int,
+    minutes: int,
+    value: float = 1.0,
+) -> tuple[list[MetricsBufferTimeSeries], list[MetricsBufferSample]]:
+    """Collector-shaped buffer rows for a gauge under a reduction rule that
+    keeps `service`: per raw series a raw series row (is_reduced=false, full
+    labels, reduced_fingerprint -> group) plus the group's reduced series row
+    (is_reduced=true, kept labels), and one raw sample per series per minute
+    carrying both fingerprints. Returns (time_series, samples) for
+    insert_buffer_metrics."""
+    reduced_series = {
+        service: MetricsBufferTimeSeries(
+            metric_name=metric_name,
+            labels={"service": service},
+            timestamp=datetime.datetime.fromtimestamp(base_epoch, tz=datetime.UTC),
+            is_reduced=True,
+        )
+        for service in services
+    }
+    raw_series = [
+        MetricsBufferTimeSeries(
+            metric_name=metric_name,
+            labels={"service": service, "pod": f"pod-{service}-{i}"},
+            timestamp=datetime.datetime.fromtimestamp(base_epoch, tz=datetime.UTC),
+            reduced_fingerprint=reduced_series[service].fingerprint,
+        )
+        for service in services
+        for i in range(pods_per_service)
+    ]
+    samples = [
+        MetricsBufferSample(
+            metric_name=metric_name,
+            fingerprint=ts.fingerprint,
+            timestamp=datetime.datetime.fromtimestamp(base_epoch + minute * 60, tz=datetime.UTC),
+            value=value,
+            reduced_fingerprint=ts.reduced_fingerprint,
+        )
+        for ts in raw_series
+        for minute in range(minutes)
+    ]
+    return raw_series + list(reduced_series.values()), samples

tests/fixtures/metrics.py

@@ -11,6 +11,14 @@ import pytest
 from fixtures import types
 from fixtures.time import parse_timestamp
 
+_REDUCED_METRICS_TABLES_TO_TRUNCATE = [
+    "time_series_v4_reduced",
+    "samples_v4_reduced_last_60s",
+    "samples_v4_reduced_sum_60s",
+    "time_series_v4_buffer",
+    "samples_v4_buffer",
+]
+
 
 class MetricsTimeSeries(ABC):
     """Represents a row in the time_series_v4 table."""
@@ -414,6 +422,267 @@ class Metrics(ABC):
         return metrics
 
 
+class MetricsReducedTimeSeries(ABC):
+    """Represents a row in the time_series_v4_reduced table i.e what
+    the time_series_v4_reduced_mv materializes for a metric under a
+    reduction rule. One row per kept-label group. `fingerprint` holds the
+    reduced fingerprint and `labels` contains only the kept labels.
+
+    The fingerprint recipe (md5, like MetricsTimeSeries) does not match the
+    collector's real hash; it only needs to be consistent with the
+    reduced_fingerprint used in the reduced samples rows.
+    """
+
+    def __init__(  # pylint: disable=too-many-arguments
+        self,
+        metric_name: str,
+        kept_labels: dict[str, str],
+        timestamp: datetime.datetime,
+        temporality: str = "Unspecified",
+        description: str = "",
+        unit: str = "",
+        type_: str = "Gauge",
+        is_monotonic: bool = False,
+        env: str = "default",
+    ) -> None:
+        kept_labels = dict(kept_labels)
+        kept_labels["__name__"] = metric_name
+        self.env = env
+        # mirror time_series_v4_reduced_mv: monotonic cumulative counters are
+        # reduced as deltas
+        if temporality == "Cumulative" and is_monotonic:
+            temporality = "Delta"
+        self.temporality = temporality
+        self.metric_name = metric_name
+        self.description = description
+        self.unit = unit
+        self.type = type_
+        self.is_monotonic = is_monotonic
+        self.labels = json.dumps(kept_labels, separators=(",", ":"))
+        self.attrs = kept_labels
+        self.unix_milli = np.int64(int(timestamp.timestamp() * 1e3))
+        self.normalized = False
+
+        fingerprint_str = metric_name + self.labels
+        self.fingerprint = np.uint64(int(hashlib.md5(fingerprint_str.encode()).hexdigest()[:16], 16))
+
+    def to_row(self) -> list:
+        return [
+            self.env,
+            self.temporality,
+            self.metric_name,
+            self.description,
+            self.unit,
+            self.type,
+            self.is_monotonic,
+            self.fingerprint,
+            self.unix_milli,
+            self.labels,
+            self.attrs,
+            {},
+            {},
+            self.normalized,
+        ]
+
+
+class MetricsReducedSampleLast60s(ABC):
+    """Represents a row in the samples_v4_reduced_last_60s table. One 60s
+    bucket per reduced group, as the samples_v4_reduced_last_60s_mv refresh
+    would emit it (gauges and non-monotonic cumulative sums)."""
+
+    def __init__(  # pylint: disable=too-many-arguments
+        self,
+        metric_name: str,
+        reduced_fingerprint: np.uint64,
+        timestamp: datetime.datetime,
+        sum_last: float,
+        min_value: float,
+        max_value: float,
+        sum_values: float,
+        count_series: int,
+        count_samples: int,
+        temporality: str = "Unspecified",
+        env: str = "default",
+        computed_at: datetime.datetime | None = None,
+    ) -> None:
+        self.env = env
+        self.temporality = temporality
+        self.metric_name = metric_name
+        self.reduced_fingerprint = reduced_fingerprint
+        # buckets are 60s-aligned: intDiv(unix_milli, 60000) * 60000
+        self.unix_milli = np.int64((int(timestamp.timestamp() * 1e3) // 60000) * 60000)
+        self.sum_last = np.float64(sum_last)
+        self.min = np.float64(min_value)
+        self.max = np.float64(max_value)
+        self.sum_values = np.float64(sum_values)
+        self.count_series = np.uint64(count_series)
+        self.count_samples = np.uint64(count_samples)
+        # the refresh stamps now(); default to shortly after the bucket closes
+        if computed_at is None:
+            computed_at = datetime.datetime.fromtimestamp(int(self.unix_milli) / 1e3, tz=datetime.UTC) + datetime.timedelta(seconds=180)
+        self.computed_at = computed_at
+
+    def to_row(self) -> list:
+        return [
+            self.env,
+            self.temporality,
+            self.metric_name,
+            self.reduced_fingerprint,
+            self.unix_milli,
+            self.sum_last,
+            self.min,
+            self.max,
+            self.sum_values,
+            self.count_series,
+            self.count_samples,
+            self.computed_at,
+        ]
+
+
+class MetricsReducedSampleSum60s(ABC):
+    """Represents a row in the samples_v4_reduced_sum_60s table. One 60s
+    bucket per reduced group for delta counters and histograms."""
+
+    def __init__(  # pylint: disable=too-many-arguments
+        self,
+        metric_name: str,
+        reduced_fingerprint: np.uint64,
+        timestamp: datetime.datetime,
+        sum_value: float,
+        count_series: int,
+        count_samples: int,
+        temporality: str = "Delta",
+        env: str = "default",
+        computed_at: datetime.datetime | None = None,
+    ) -> None:
+        self.env = env
+        self.temporality = temporality
+        self.metric_name = metric_name
+        self.reduced_fingerprint = reduced_fingerprint
+        self.unix_milli = np.int64((int(timestamp.timestamp() * 1e3) // 60000) * 60000)
+        self.sum = np.float64(sum_value)
+        self.count_series = np.uint64(count_series)
+        self.count_samples = np.uint64(count_samples)
+        if computed_at is None:
+            computed_at = datetime.datetime.fromtimestamp(int(self.unix_milli) / 1e3, tz=datetime.UTC) + datetime.timedelta(seconds=180)
+        self.computed_at = computed_at
+
+    def to_row(self) -> list:
+        return [
+            self.env,
+            self.temporality,
+            self.metric_name,
+            self.reduced_fingerprint,
+            self.unix_milli,
+            self.sum,
+            self.count_series,
+            self.count_samples,
+            self.computed_at,
+        ]
+
+
+class MetricsBufferTimeSeries(ABC):
+    """Represents a row in the time_series_v4_buffer table. This is the collector's
+    universal landing target under cardinality control. For a ruled metric the
+    collector writes two rows per series: the raw one (is_reduced=false, full
+    labels, reduced_fingerprint pointing at its group) and the group's reduced
+    one (is_reduced=true, kept labels, fingerprint = reduced fingerprint)."""
+
+    def __init__(  # pylint: disable=too-many-arguments
+        self,
+        metric_name: str,
+        labels: dict[str, str],
+        timestamp: datetime.datetime,
+        reduced_fingerprint: np.uint64 | int = 0,
+        is_reduced: bool = False,
+        temporality: str = "Unspecified",
+        description: str = "",
+        unit: str = "",
+        type_: str = "Gauge",
+        is_monotonic: bool = False,
+        env: str = "default",
+    ) -> None:
+        labels = dict(labels)
+        labels["__name__"] = metric_name
+        self.env = env
+        self.temporality = temporality
+        self.metric_name = metric_name
+        self.description = description
+        self.unit = unit
+        self.type = type_
+        self.is_monotonic = is_monotonic
+        self.reduced_fingerprint = np.uint64(reduced_fingerprint)
+        self.is_reduced = is_reduced
+        self.labels = json.dumps(labels, separators=(",", ":"))
+        self.attrs = labels
+        self.unix_milli = np.int64(int(timestamp.timestamp() * 1e3))
+        self.normalized = False
+
+        fingerprint_str = metric_name + self.labels
+        self.fingerprint = np.uint64(int(hashlib.md5(fingerprint_str.encode()).hexdigest()[:16], 16))
+
+    def to_row(self) -> list:
+        return [
+            self.env,
+            self.temporality,
+            self.metric_name,
+            self.description,
+            self.unit,
+            self.type,
+            self.is_monotonic,
+            self.fingerprint,
+            self.reduced_fingerprint,
+            self.is_reduced,
+            self.unix_milli,
+            self.labels,
+            self.attrs,
+            {},
+            {},
+            self.normalized,
+        ]
+
+
+class MetricsBufferSample(ABC):
+    """Represents a row in the samples_v4_buffer table. Ruled samples carry
+    the raw fingerprint plus the group's reduced_fingerprint; unruled samples
+    have reduced_fingerprint = 0."""
+
+    def __init__(  # pylint: disable=too-many-arguments
+        self,
+        metric_name: str,
+        fingerprint: np.uint64,
+        timestamp: datetime.datetime,
+        value: float,
+        reduced_fingerprint: np.uint64 | int = 0,
+        is_monotonic: bool = False,
+        temporality: str = "Unspecified",
+        env: str = "default",
+        flags: int = 0,
+    ) -> None:
+        self.env = env
+        self.temporality = temporality
+        self.metric_name = metric_name
+        self.fingerprint = fingerprint
+        self.reduced_fingerprint = np.uint64(reduced_fingerprint)
+        self.is_monotonic = is_monotonic
+        self.unix_milli = np.int64(int(timestamp.timestamp() * 1e3))
+        self.value = np.float64(value)
+        self.flags = np.uint32(flags)
+
+    def to_row(self) -> list:
+        return [
+            self.env,
+            self.temporality,
+            self.metric_name,
+            self.fingerprint,
+            self.reduced_fingerprint,
+            self.is_monotonic,
+            self.unix_milli,
+            self.value,
+            self.flags,
+        ]
+
+
 def insert_metrics_to_clickhouse(conn, metrics: list[Metrics]) -> None:
     """
     Insert metrics into ClickHouse tables.
@@ -576,6 +845,163 @@ def insert_metrics(
     )
 
 
+def insert_reduced_metrics_to_clickhouse(
+    conn,
+    time_series: list[MetricsReducedTimeSeries],
+    last_samples: list[MetricsReducedSampleLast60s] | None = None,
+    sum_samples: list[MetricsReducedSampleSum60s] | None = None,
+) -> None:
+    """Insert reduced series into distributed_time_series_v4_reduced and 60s
+    buckets into the reduced samples tables. These tables exist only when
+    the schema migrator version includes the metrics cardinality-control
+    migration."""
+    if time_series:
+        conn.insert(
+            database="signoz_metrics",
+            table="distributed_time_series_v4_reduced",
+            column_names=[
+                "env",
+                "temporality",
+                "metric_name",
+                "description",
+                "unit",
+                "type",
+                "is_monotonic",
+                "fingerprint",
+                "unix_milli",
+                "labels",
+                "attrs",
+                "scope_attrs",
+                "resource_attrs",
+                "__normalized",
+            ],
+            data=[ts.to_row() for ts in time_series],
+        )
+
+    if last_samples:
+        conn.insert(
+            database="signoz_metrics",
+            table="distributed_samples_v4_reduced_last_60s",
+            column_names=[
+                "env",
+                "temporality",
+                "metric_name",
+                "reduced_fingerprint",
+                "unix_milli",
+                "sum_last",
+                "min",
+                "max",
+                "sum_values",
+                "count_series",
+                "count_samples",
+                "computed_at",
+            ],
+            data=[sample.to_row() for sample in last_samples],
+        )
+
+    if sum_samples:
+        conn.insert(
+            database="signoz_metrics",
+            table="distributed_samples_v4_reduced_sum_60s",
+            column_names=[
+                "env",
+                "temporality",
+                "metric_name",
+                "reduced_fingerprint",
+                "unix_milli",
+                "sum",
+                "count_series",
+                "count_samples",
+                "computed_at",
+            ],
+            data=[sample.to_row() for sample in sum_samples],
+        )
+
+
+def insert_buffer_metrics_to_clickhouse(
+    conn,
+    time_series: list[MetricsBufferTimeSeries],
+    samples: list[MetricsBufferSample],
+) -> None:
+    if time_series:
+        conn.insert(
+            database="signoz_metrics",
+            table="distributed_time_series_v4_buffer",
+            column_names=[
+                "env",
+                "temporality",
+                "metric_name",
+                "description",
+                "unit",
+                "type",
+                "is_monotonic",
+                "fingerprint",
+                "reduced_fingerprint",
+                "is_reduced",
+                "unix_milli",
+                "labels",
+                "attrs",
+                "scope_attrs",
+                "resource_attrs",
+                "__normalized",
+            ],
+            data=[ts.to_row() for ts in time_series],
+        )
+
+    if samples:
+        conn.insert(
+            database="signoz_metrics",
+            table="distributed_samples_v4_buffer",
+            column_names=[
+                "env",
+                "temporality",
+                "metric_name",
+                "fingerprint",
+                "reduced_fingerprint",
+                "is_monotonic",
+                "unix_milli",
+                "value",
+                "flags",
+            ],
+            data=[sample.to_row() for sample in samples],
+        )
+
+
+@pytest.fixture(name="insert_reduced_metrics", scope="function")
+def insert_reduced_metrics(
+    clickhouse: types.TestContainerClickhouse,
+) -> Generator[Callable[..., None], Any]:
+    def _insert_reduced_metrics(
+        time_series: list[MetricsReducedTimeSeries],
+        last_samples: list[MetricsReducedSampleLast60s] | None = None,
+        sum_samples: list[MetricsReducedSampleSum60s] | None = None,
+    ) -> None:
+        insert_reduced_metrics_to_clickhouse(clickhouse.conn, time_series, last_samples, sum_samples)
+
+    yield _insert_reduced_metrics
+
+    cluster = clickhouse.env["SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_CLUSTER"]
+    for table in _REDUCED_METRICS_TABLES_TO_TRUNCATE:
+        clickhouse.conn.query(f"TRUNCATE TABLE signoz_metrics.{table} ON CLUSTER '{cluster}' SYNC")
+
+
+@pytest.fixture(name="insert_buffer_metrics", scope="function")
+def insert_buffer_metrics(
+    clickhouse: types.TestContainerClickhouse,
+) -> Generator[Callable[..., None], Any]:
+    def _insert_buffer_metrics(
+        time_series: list[MetricsBufferTimeSeries],
+        samples: list[MetricsBufferSample],
+    ) -> None:
+        insert_buffer_metrics_to_clickhouse(clickhouse.conn, time_series, samples)
+
+    yield _insert_buffer_metrics
+
+    cluster = clickhouse.env["SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_CLUSTER"]
+    for table in _REDUCED_METRICS_TABLES_TO_TRUNCATE:
+        clickhouse.conn.query(f"TRUNCATE TABLE signoz_metrics.{table} ON CLUSTER '{cluster}' SYNC")
+
+
 @pytest.fixture(name="remove_metrics_ttl_and_storage_settings", scope="function")
 def remove_metrics_ttl_and_storage_settings(signoz: types.SigNoz):
     """

tests/fixtures/migrator.py

@@ -8,27 +8,30 @@ from fixtures.logger import setup_logger
 logger = setup_logger(__name__)
 
 
-def create_migrator(
+def create_migrator(  # pylint: disable=too-many-arguments,too-many-positional-arguments
     network: Network,
     clickhouse: types.TestContainerClickhouse,
     request: pytest.FixtureRequest,
     pytestconfig: pytest.Config,
     cache_key: str = "migrator",
     env_overrides: dict | None = None,
+    version: str | None = None,
 ) -> types.Operation:
     """
     Factory function for running schema migrations.
-    Accepts optional env_overrides to customize the migrator environment.
+    Accepts optional env_overrides to customize the migrator environment, and
+    an optional version to pin a schema-migrator release different from the
+    --schema-migrator-version option.
     """
 
     def create() -> None:
-        version = request.config.getoption("--schema-migrator-version")
+        migrator_version = version or request.config.getoption("--schema-migrator-version")
         client = docker.from_env()
 
         environment = dict(env_overrides) if env_overrides else {}
 
         container = client.containers.run(
-            image=f"signoz/signoz-schema-migrator:{version}",
+            image=f"signoz/signoz-schema-migrator:{migrator_version}",
             command=f"sync --replication=true --cluster-name=cluster --up= --dsn={clickhouse.env['SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_DSN']}",
             detach=True,
             auto_remove=False,
@@ -47,7 +50,7 @@ def create_migrator(
         container.remove()
 
         container = client.containers.run(
-            image=f"signoz/signoz-schema-migrator:{version}",
+            image=f"signoz/signoz-schema-migrator:{migrator_version}",
             command=f"async --replication=true --cluster-name=cluster --up= --dsn={clickhouse.env['SIGNOZ_TELEMETRYSTORE_CLICKHOUSE_DSN']}",
             detach=True,
             auto_remove=False,

tests/fixtures/querier.py

@@ -189,6 +189,35 @@ def make_query_request(
     )
 
 
+def aligned_epoch(ago: timedelta, step_seconds: int = DEFAULT_STEP_INTERVAL) -> int:
+    """Epoch seconds for `now - ago`, floored to a step boundary so seeded
+    points land exactly on the query's toStartOfInterval buckets."""
+    return (int((datetime.now(tz=UTC) - ago).timestamp()) // step_seconds) * step_seconds
+
+
+def query_metric_values(  # pylint: disable=too-many-arguments,too-many-positional-arguments
+    signoz: types.SigNoz,
+    token: str,
+    metric_name: str,
+    start_epoch: int,
+    end_epoch: int,
+    time_agg: str,
+    space_agg: str,
+    step_interval: int = DEFAULT_STEP_INTERVAL,
+) -> list[dict]:
+    """Run a single metrics builder query over [start_epoch, end_epoch) in
+    epoch seconds and return its series values sorted by timestamp."""
+    response = make_query_request(
+        signoz,
+        token,
+        start_ms=start_epoch * 1000,
+        end_ms=end_epoch * 1000,
+        queries=[build_builder_query("A", metric_name, time_agg, space_agg, step_interval=step_interval)],
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+    return sorted(get_series_values(response.json(), "A"), key=lambda v: v["timestamp"])
+
+
 def build_builder_query(
     name: str,
     metric_name: str,

tests/fixtures/types.py

@@ -1,4 +1,4 @@
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from typing import Literal
 from urllib.parse import urljoin
 
@@ -84,11 +84,16 @@ class TestContainerClickhouse:
     container: TestContainerDocker
     conn: clickhouse_connect.driver.client.Client
     env: dict[str, str]
+    # Per-node containers when running a multi-node cluster. Empty for the
+    # default single-node setup; nodes[0] is the node `conn`/`env` point at
+    # (the initiator every query goes through).
+    nodes: list[TestContainerDocker] = field(default_factory=list)
 
     def __cache__(self) -> dict:
         return {
             "container": self.container.__cache__(),
             "env": self.env,
+            "nodes": [node.__cache__() for node in self.nodes],
         }
 
     def __log__(self) -> str:

tests/integration/testdata/inframonitoring/clusters_pod_phases.jsonl

@@ -34,30 +34,3 @@
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:00:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:02:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"pp-fail-2-uid","k8s.pod.name":"pp-fail-2","k8s.namespace.name":"ns-x","k8s.node.name":"pp-node","k8s.cluster.name":"pp-cluster"},"timestamp":"2025-01-10T10:04:00+00:00","value":4,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-1-uid", "k8s.pod.name": "pp-run-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-1-uid", "k8s.pod.name": "pp-run-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-1-uid", "k8s.pod.name": "pp-run-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-3-uid", "k8s.pod.name": "pp-run-3", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-3-uid", "k8s.pod.name": "pp-run-3", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-3-uid", "k8s.pod.name": "pp-run-3", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-4-uid", "k8s.pod.name": "pp-run-4", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-4-uid", "k8s.pod.name": "pp-run-4", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-4-uid", "k8s.pod.name": "pp-run-4", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-pend-1-uid", "k8s.pod.name": "pp-pend-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-pend-1-uid", "k8s.pod.name": "pp-pend-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-pend-1-uid", "k8s.pod.name": "pp-pend-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-2-uid", "k8s.pod.name": "pp-fail-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-2-uid", "k8s.pod.name": "pp-fail-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-2-uid", "k8s.pod.name": "pp-fail-2", "k8s.namespace.name": "ns-x", "k8s.node.name": "pp-node", "k8s.cluster.name": "pp-cluster"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}

tests/integration/testdata/inframonitoring/deployments_pod_phases.jsonl

@@ -151,30 +151,3 @@
 {"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"pp-dep","k8s.namespace.name":"ns-pp","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.deployment.desired","labels":{"k8s.deployment.name":"pp-dep","k8s.namespace.name":"ns-pp","k8s.cluster.name":"cluster-x"},"timestamp":"2025-01-10T10:04:00+00:00","value":7,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.deployment.available","labels":{"k8s.deployment.name":"pp-dep","k8s.namespace.name":"ns-pp","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.status_reason", "labels": {"k8s.pod.uid": "pp-run-1-uid", "k8s.pod.name": "pp-run-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-1-uid", "k8s.pod.name": "pp-run-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-1-uid", "k8s.pod.name": "pp-run-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-run-2-uid", "k8s.pod.name": "pp-run-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-3-uid", "k8s.pod.name": "pp-run-3", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-3-uid", "k8s.pod.name": "pp-run-3", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-3-uid", "k8s.pod.name": "pp-run-3", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-4-uid", "k8s.pod.name": "pp-run-4", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-4-uid", "k8s.pod.name": "pp-run-4", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-run-4-uid", "k8s.pod.name": "pp-run-4", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-pen-1-uid", "k8s.pod.name": "pp-pen-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-pen-1-uid", "k8s.pod.name": "pp-pen-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-pen-1-uid", "k8s.pod.name": "pp-pen-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "pp-fail-1-uid", "k8s.pod.name": "pp-fail-1", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-2-uid", "k8s.pod.name": "pp-fail-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "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.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-2-uid", "k8s.pod.name": "pp-fail-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "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.pod.status_reason", "labels": {"k8s.pod.uid": "pp-fail-2-uid", "k8s.pod.name": "pp-fail-2", "k8s.deployment.name": "pp-dep", "k8s.namespace.name": "ns-pp", "k8s.cluster.name": "cluster-x"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}

tests/integration/testdata/inframonitoring/pods_phases.jsonl

@@ -103,45 +103,3 @@
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"unk-p-uid","k8s.pod.name":"unk-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"unk-p-uid","k8s.pod.name":"unk-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"unk-p-uid","k8s.pod.name":"unk-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":5,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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tests/integration/testdata/inframonitoring/pods_phases_grouped.jsonl

@@ -124,42 +124,3 @@
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 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"g-pend-1-uid","k8s.pod.name":"g-pend-1","k8s.namespace.name":"ns-mixed","k8s.node.name":"node-b","k8s.deployment.name":"dep-y","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
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-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-run-2-uid", "k8s.pod.name": "g-run-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-x", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 3, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "Error"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-fail-1-uid", "k8s.pod.name": "g-fail-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-fail-2-uid", "k8s.pod.name": "g-fail-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-fail-2-uid", "k8s.pod.name": "g-fail-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-fail-2-uid", "k8s.pod.name": "g-fail-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-fail-2-uid", "k8s.pod.name": "g-fail-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-fail-2-uid", "k8s.pod.name": "g-fail-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "g-fail-2-uid", "k8s.pod.name": "g-fail-2", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-pend-1-uid", "k8s.pod.name": "g-pend-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-pend-1-uid", "k8s.pod.name": "g-pend-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "g-pend-1-uid", "k8s.pod.name": "g-pend-1", "k8s.namespace.name": "ns-mixed", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-y", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}

tests/integration/testdata/inframonitoring/pods_phases_transition.jsonl

@@ -19,10 +19,3 @@
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":1,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"trans-p-uid","k8s.pod.name":"trans-p","k8s.namespace.name":"ns-x","k8s.node.name":"node-a","k8s.deployment.name":"phase-test","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff", "container.id": "aaa"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff", "container.id": "bbb"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "container.id": "aaa"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 1, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "trans-p-uid", "k8s.pod.name": "trans-p", "k8s.namespace.name": "ns-x", "k8s.node.name": "node-a", "k8s.deployment.name": "phase-test", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "container.id": "bbb"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 5, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}

tests/integration/testdata/inframonitoring/pods_value_accuracy.jsonl

@@ -40,21 +40,3 @@
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:00:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:02:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
 {"metric_name":"k8s.pod.phase","labels":{"k8s.pod.uid":"acc-p2-uid","k8s.pod.name":"acc-p2","k8s.namespace.name":"ns-b","k8s.node.name":"node-b","k8s.deployment.name":"dep-2","k8s.cluster.name":"cluster-x","k8s.statefulset.name":"","k8s.daemonset.name":"","k8s.job.name":"","k8s.cronjob.name":"","k8s.pod.start_time":"__START_TIME__"},"timestamp":"2025-01-10T10:04:00+00:00","value":2,"temporality":"Unspecified","type_":"Gauge","is_monotonic":false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "acc-p1-uid", "k8s.pod.name": "acc-p1", "k8s.namespace.name": "ns-a", "k8s.node.name": "node-a", "k8s.deployment.name": "dep-1", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.pod.status_reason", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 6, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.restarts", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:00:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:02:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}
-{"metric_name": "k8s.container.status.reason", "labels": {"k8s.pod.uid": "acc-p2-uid", "k8s.pod.name": "acc-p2", "k8s.namespace.name": "ns-b", "k8s.node.name": "node-b", "k8s.deployment.name": "dep-2", "k8s.cluster.name": "cluster-x", "k8s.statefulset.name": "", "k8s.daemonset.name": "", "k8s.job.name": "", "k8s.cronjob.name": "", "k8s.pod.start_time": "__START_TIME__", "k8s.container.name": "app", "k8s.container.status.reason": "CrashLoopBackOff"}, "timestamp": "2025-01-10T10:04:00+00:00", "value": 0, "temporality": "Unspecified", "type_": "Gauge", "is_monotonic": false}

tests/integration/testdata/inframonitoring/pods_value_accuracy_expected.json

@@ -9,17 +9,7 @@
       "podMemoryRequest": 0.5,
       "podMemoryLimit": 0.25,
       "podPhase": "running",
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0},
-      "podStatus": "running",
-      "podRestarts": 0,
-      "podCountsByStatus": {
-        "pending": 0, "running": 1, "failed": 0, "unknown": 0,
-        "crashLoopBackOff": 0, "imagePullBackOff": 0, "errImagePull": 0,
-        "createContainerConfigError": 0, "containerCreating": 0, "oomKilled": 0,
-        "completed": 0, "error": 0, "containerCannotRun": 0,
-        "evicted": 0, "nodeAffinity": 0, "nodeLost": 0, "shutdown": 0,
-        "unexpectedAdmissionError": 0
-      }
+      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
     },
     {
       "podName": "acc-p2",
@@ -30,17 +20,7 @@
       "podMemoryRequest": 0.75,
       "podMemoryLimit": 0.5,
       "podPhase": "running",
-      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0},
-      "podStatus": "running",
-      "podRestarts": 0,
-      "podCountsByStatus": {
-        "pending": 0, "running": 1, "failed": 0, "unknown": 0,
-        "crashLoopBackOff": 0, "imagePullBackOff": 0, "errImagePull": 0,
-        "createContainerConfigError": 0, "containerCreating": 0, "oomKilled": 0,
-        "completed": 0, "error": 0, "containerCannotRun": 0,
-        "evicted": 0, "nodeAffinity": 0, "nodeLost": 0, "shutdown": 0,
-        "unexpectedAdmissionError": 0
-      }
+      "podCountsByPhase": {"pending": 0, "running": 1, "succeeded": 0, "failed": 0, "unknown": 0}
     }
   ]
 }

tests/integration/tests/clickhousecluster/01_basic_cluster.py

@@ -0,0 +1,52 @@
+import clickhouse_connect.driver.client
+
+from fixtures import types
+
+TOTAL_ROWS = 64
+
+
+def test_topology(
+    clickhouse: types.TestContainerClickhouse,
+    clickhouse_node_conns: list[clickhouse_connect.driver.client.Client],
+) -> None:
+    aliases = {node.container_configs["9000"].address for node in clickhouse.nodes}
+
+    # Every node sees the same 2-shard cluster definition and identifies
+    # exactly itself as the local replica
+
+    for i, conn in enumerate(clickhouse_node_conns, start=1):
+        rows = conn.query("SELECT shard_num, host_name, is_local FROM system.clusters WHERE cluster = 'cluster' ORDER BY shard_num").result_rows
+        assert [row[0] for row in rows] == [1, 2], f"node {i}: expected 2 shards, got {rows}"
+        assert {row[1] for row in rows} == aliases, f"node {i}: cluster hosts {rows} != node aliases {aliases}"
+        local = [row[0] for row in rows if row[2]]
+        assert local == [i], f"node {i}: expected to be local for shard {i} only, got {local}"
+
+
+def test_replicated_distributed_round_trip(
+    clickhouse: types.TestContainerClickhouse,
+    clickhouse_node_conns: list[clickhouse_connect.driver.client.Client],
+) -> None:
+    # ON CLUSTER DDL reaches both nodes, Replicated engines register with the
+    # keeper via per-node macros, and a sharded Distributed insert scatters rows
+    # across shards while the distributed read returns the union.
+    conn = clickhouse.conn
+    try:
+        conn.query("CREATE DATABASE IF NOT EXISTS it_cluster ON CLUSTER 'cluster'")
+        conn.query("CREATE TABLE it_cluster.events ON CLUSTER 'cluster' (id UInt64, payload String) ENGINE = ReplicatedMergeTree ORDER BY id")
+        conn.query("CREATE TABLE it_cluster.distributed_events ON CLUSTER 'cluster' AS it_cluster.events ENGINE = Distributed('cluster', 'it_cluster', 'events', cityHash64(id))")
+
+        conn.insert(
+            database="it_cluster",
+            table="distributed_events",
+            column_names=["id", "payload"],
+            data=[[i, f"payload-{i:03d}"] for i in range(TOTAL_ROWS)],
+        )
+
+        distributed_count = int(conn.query("SELECT count() FROM it_cluster.distributed_events").result_rows[0][0])
+        assert distributed_count == TOTAL_ROWS
+
+        local_counts = [int(node_conn.query("SELECT count() FROM it_cluster.events").result_rows[0][0]) for node_conn in clickhouse_node_conns]
+        assert sum(local_counts) == TOTAL_ROWS, f"local counts {local_counts} do not add up to {TOTAL_ROWS}"
+        assert min(local_counts) > 0, f"all rows landed on one shard: {local_counts}"
+    finally:
+        conn.query("DROP DATABASE IF EXISTS it_cluster ON CLUSTER 'cluster' SYNC")

tests/integration/tests/clickhousecluster/conftest.py

@@ -0,0 +1,47 @@
+from collections.abc import Generator
+from typing import Any
+
+import pytest
+from testcontainers.core.container import Network
+
+from fixtures import types
+from fixtures.clickhouse import create_clickhouse_cluster, create_clickhouse_keeper
+
+CLICKHOUSE_VERSION = "25.12.5"
+
+
+@pytest.fixture(name="keeper", scope="package")
+def keeper_cluster(
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerDocker:
+    return create_clickhouse_keeper(
+        tmpfs=tmpfs,
+        network=network,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="keeper_cluster",
+        version=CLICKHOUSE_VERSION,
+    )
+
+
+@pytest.fixture(name="clickhouse", scope="package")
+def clickhouse_cluster(
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    keeper: types.TestContainerDocker,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerClickhouse:
+    return create_clickhouse_cluster(
+        tmpfs=tmpfs,
+        network=network,
+        keeper=keeper,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="clickhouse_cluster",
+        shards=2,
+        version=CLICKHOUSE_VERSION,
+    )

tests/integration/tests/inframonitoring/02_pods.py

@@ -10,7 +10,6 @@ import requests
 from fixtures import types
 from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
 from fixtures.fs import get_testdata_file_path
-from fixtures.inframonitoring import STATUS_BUCKETS, STATUS_TO_BUCKET
 from fixtures.metrics import Metrics
 from fixtures.querier import compare_values, get_all_warnings
 from fixtures.time import parse_timestamp
@@ -122,9 +121,6 @@ def test_pods_accuracy(
             "podMemoryLimit",
             "podPhase",
             "podCountsByPhase",
-            "podStatus",
-            "podCountsByStatus",
-            "podRestarts",
             "podAge",
             "meta",
         ):
@@ -135,11 +131,6 @@ def test_pods_accuracy(
             assert bucket in record["podCountsByPhase"], f"missing phase bucket {bucket} in {record['podCountsByPhase']!r}"
             assert isinstance(record["podCountsByPhase"][bucket], int)
 
-        # All status buckets always present, integer-typed.
-        for bucket in STATUS_BUCKETS:
-            assert bucket in record["podCountsByStatus"], f"missing status bucket {bucket} in {record['podCountsByStatus']!r}"
-            assert isinstance(record["podCountsByStatus"][bucket], int)
-
         # Exact values.
         pod_name = record["meta"]["k8s.pod.name"]
         exp = exp_by_name[pod_name]
@@ -154,9 +145,6 @@ def test_pods_accuracy(
             assert compare_values(record[field], exp[field], 1e-9), f"{pod_name}.{field}: got {record[field]}, expected {exp[field]}"
         assert record["podPhase"] == exp["podPhase"]
         assert record["podCountsByPhase"] == exp["podCountsByPhase"]
-        assert record["podStatus"] == exp["podStatus"], f"{pod_name}.podStatus: got {record['podStatus']}, expected {exp['podStatus']}"
-        assert record["podCountsByStatus"] == exp["podCountsByStatus"], f"{pod_name}.podCountsByStatus mismatch: got {record['podCountsByStatus']}"
-        assert record["podRestarts"] == exp["podRestarts"], f"{pod_name}.podRestarts: got {record['podRestarts']}, expected {exp['podRestarts']}"
         assert record["podAge"] == expected_age_ms, f"{pod_name}.podAge: got {record['podAge']}, expected {expected_age_ms}"
 
 
@@ -805,343 +793,3 @@ def test_pods_validation_errors(
     error = response.json()["error"]
     assert error["code"] == "invalid_input"
     assert err_substr.lower() in error["message"].lower(), f"expected substring {err_substr!r} not found in: {error['message']!r}"
-
-
-@pytest.mark.parametrize(
-    "pod_name,expected_status",
-    [
-        # Expectations are what `kubectl get pods` STATUS would show for the
-        # seeded K8s state in pods_phases.jsonl (not the query internals).
-        pytest.param("pend-p", "pending", id="pending_phase_fallback"),
-        pytest.param("run-p", "crashloopbackoff", id="container_reason_beats_running_phase"),
-        pytest.param("succ-p", "completed", id="completed_terminated_reason"),
-        pytest.param("fail-p", "evicted", id="pod_reason_beats_phase"),
-        pytest.param("unk-p", "crashloopbackoff", id="multi_container_priority"),
-    ],
-)
-def test_pods_status_list_mode(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    pod_name: str,
-    expected_status: str,
-) -> None:
-    """List mode: podStatus is the kubectl-style display status derived from
-    k8s.pod.phase + k8s.pod.status_reason + k8s.container.status.reason.
-
-    Seeded states -> what kubectl would print:
-      pend-p  Pending          (unscheduled; phase fallback, no container reason)
-      run-p   CrashLoopBackOff (container crashlooping; phase still Running)
-      succ-p  Completed        (container terminated Completed; phase Succeeded)
-      fail-p  Evicted          (pod-level Status.Reason overrides phase)
-      unk-p   CrashLoopBackOff (2 containers: OOMKilled + CrashLoopBackOff)
-
-    NOTE unk-p: a multi-container pod. kubectl picks the reason by container
-    order; we pick by reason priority (waiting>terminated), so CrashLoopBackOff
-    wins over OOMKilled. Documented divergence for multi-container pods — metrics
-    carry no container ordering.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_phases.jsonl",
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": f"k8s.pod.name = '{pod_name}'"},
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["meta"]["k8s.pod.name"] == pod_name
-    assert rec["podStatus"] == expected_status
-
-    # List mode: pod is its own group -> exactly its status bucket is 1.
-    bucket = STATUS_TO_BUCKET[expected_status]
-    assert rec["podCountsByStatus"][bucket] == 1
-    for other in STATUS_BUCKETS:
-        if other != bucket:
-            assert rec["podCountsByStatus"][other] == 0, f"expected {other}=0 when status={expected_status}, got {rec['podCountsByStatus']}"
-
-
-@pytest.mark.parametrize(
-    "pod_name,expected_restarts",
-    [
-        # Mirrors kubectl RESTARTS (sum across the pod's containers).
-        pytest.param("run-p", 5, id="single_container"),
-        pytest.param("succ-p", 0, id="zero_restarts"),
-        pytest.param("unk-p", 10, id="multi_container_sum"),  # 2 + 8
-        pytest.param("pend-p", -1, id="no_series_sentinel"),  # unscheduled -> no metric -> -1
-    ],
-)
-def test_pods_restarts_list_mode(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-    pod_name: str,
-    expected_restarts: int,
-) -> None:
-    """podRestarts is the sum of k8s.container.restarts across the pod's
-    containers (kubectl RESTARTS). pend-p never scheduled so emits no restart
-    series -> -1 no-data sentinel (kubectl would show 0)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_phases.jsonl",
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": f"k8s.pod.name = '{pod_name}'"},
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["meta"]["k8s.pod.name"] == pod_name
-    assert rec["podRestarts"] == expected_restarts
-
-
-def test_pods_status_latest_wins(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """A stale container reason from an old incarnation must not win. trans-p's
-    first incarnation (container.id=aaa) reported CrashLoopBackOff, then it
-    recovered in a new incarnation (container.id=bbb, CrashLoopBackOff=0) while
-    phase went Running. kubectl shows Running; the frozen stale series is
-    ignored via argMax-by-latest-timestamp per (pod, container, reason)."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_phases_transition.jsonl",
-            base_time=now - timedelta(minutes=8),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=10)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["meta"]["k8s.pod.name"] == "trans-p"
-    assert rec["podStatus"] == "running"
-
-
-def test_pods_restarts_latest_wins(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """restartCount is cumulative per container. Across incarnations
-    (container.id=aaa reported 1, then container.id=bbb reported 5) podRestarts
-    is the LATEST value 5 (kubectl RESTARTS), not the sum 6 — incarnations must
-    not be double-counted."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_phases_transition.jsonl",
-            base_time=now - timedelta(minutes=8),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=10)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["meta"]["k8s.pod.name"] == "trans-p"
-    assert rec["podRestarts"] == 5
-
-
-def test_pods_status_grouped_mode(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """groupBy=[k8s.namespace.name] aggregates each pod's display status across
-    ns-mixed. podStatus is no-data (no single pod identifies the group). Seeded
-    states -> kubectl: g-run-1/g-run-3 Running, g-run-2 CrashLoopBackOff,
-    g-fail-1 Error, g-fail-2 Evicted, g-pend-1 Pending."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_phases_grouped.jsonl",
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": "k8s.namespace.name",
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                }
-            ],
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["meta"].get("k8s.namespace.name") == "ns-mixed"
-    assert rec["podStatus"] == "no_data"
-
-    expected_counts = {bucket: 0 for bucket in STATUS_BUCKETS}
-    expected_counts.update(
-        {
-            "running": 2,
-            "crashLoopBackOff": 1,
-            "error": 1,
-            "evicted": 1,
-            "pending": 1,
-        }
-    )
-    assert rec["podCountsByStatus"] == expected_counts
-
-
-def test_pods_restarts_grouped_mode(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Grouped podRestarts is the sum of restarts across all pods in the group.
-    In ns-mixed only g-run-2 has restarts (3); all others 0 -> group total 3."""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_phases_grouped.jsonl",
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "groupBy": [
-                {
-                    "name": "k8s.namespace.name",
-                    "fieldDataType": "string",
-                    "fieldContext": "resource",
-                }
-            ],
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["meta"].get("k8s.namespace.name") == "ns-mixed"
-    assert rec["podRestarts"] == 3
-
-
-def test_pods_status_missing_metric_warning(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """When the status metrics were never ingested, the status query is gated
-    off: a warning naming the missing metric(s) is surfaced, podStatus is the
-    no-data sentinel, and all status buckets are 0. (pods_missing_metrics.jsonl
-    seeds only k8s.pod.cpu.usage.)"""
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        _load_pods_metrics(
-            "inframonitoring/pods_missing_metrics.jsonl",
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.pod.name = 'miss-p1'"},
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    body = response.json()
-    data = body["data"]
-
-    # Collect primary + additional warning messages.
-    warning = data.get("warning") or {}
-    msgs = ([warning["message"]] if warning.get("message") else []) + [w["message"] for w in warning.get("warnings", [])]
-    assert any("Pod status could not be computed" in m for m in msgs), f"status-gate warning missing: {msgs!r}"
-    assert any("k8s.container.status.reason" in m for m in msgs), f"missing metric not named: {msgs!r}"
-
-    rec = data["records"][0]
-    assert rec["meta"]["k8s.pod.name"] == "miss-p1"
-    assert rec["podStatus"] == "no_data"
-    for bucket in STATUS_BUCKETS:
-        assert rec["podCountsByStatus"][bucket] == 0, f"expected {bucket}=0 when gated off, got {rec['podCountsByStatus']}"
-    assert rec["podRestarts"] == -1

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

@@ -10,7 +10,6 @@ import requests
 from fixtures import types
 from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
 from fixtures.fs import get_testdata_file_path
-from fixtures.inframonitoring import expected_status_counts
 from fixtures.metrics import Metrics
 from fixtures.querier import compare_values, get_all_warnings
 
@@ -405,49 +404,6 @@ def test_clusters_pod_phase_aggregation(
     }
 
 
-def test_clusters_pod_status_aggregation(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Cluster's pods aggregated by kubectl-style display status. Seeded states
-    in clusters_pod_phases.jsonl -> what kubectl would show:
-      pp-run-1/3/4 Running, pp-run-2 CrashLoopBackOff (phase Running),
-      pp-fail-1 Error, pp-fail-2 Evicted (pod-level), pp-pend-1 Pending.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/clusters_pod_phases.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.cluster.name = 'pp-cluster'"},
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["clusterName"] == "pp-cluster"
-    assert rec["podCountsByStatus"] == expected_status_counts(running=3, crashLoopBackOff=1, error=1, evicted=1, pending=1)
-    # Phase counts unchanged by the status enrichment.
-    assert rec["podCountsByPhase"] == {"pending": 1, "running": 4, "succeeded": 0, "failed": 2, "unknown": 0}
-    # All status metrics present -> gate satisfied -> no status warning.
-    assert all("Pod status could not be computed" not in w["message"] for w in get_all_warnings(response.json()))
-
-
 @pytest.mark.parametrize(
     "group_key,expected",
     [

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

@@ -10,7 +10,6 @@ import requests
 from fixtures import types
 from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
 from fixtures.fs import get_testdata_file_path
-from fixtures.inframonitoring import expected_status_counts
 from fixtures.metrics import Metrics
 from fixtures.querier import compare_values, get_all_warnings
 
@@ -386,49 +385,6 @@ def test_deployments_pod_phase_aggregation(
     }
 
 
-def test_deployments_pod_status_aggregation(
-    signoz: types.SigNoz,
-    create_user_admin: None,  # pylint: disable=unused-argument
-    get_token,
-    insert_metrics,
-) -> None:
-    """Deployment's pods aggregated by kubectl-style display status. Seeded states
-    in deployments_pod_phases.jsonl -> what kubectl would show:
-      pp-run-1/3/4 Running, pp-run-2 CrashLoopBackOff (phase Running),
-      pp-fail-1 Error, pp-fail-2 Evicted (pod-level), pp-pen-1 Pending.
-    """
-    now = datetime.now(tz=UTC).replace(microsecond=0)
-    insert_metrics(
-        Metrics.load_from_file(
-            get_testdata_file_path("inframonitoring/deployments_pod_phases.jsonl"),
-            base_time=now - timedelta(minutes=4),
-        )
-    )
-
-    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
-    response = requests.post(
-        signoz.self.host_configs["8080"].get(ENDPOINT),
-        headers={"authorization": f"Bearer {token}"},
-        json={
-            "start": int((now - timedelta(minutes=5)).timestamp() * 1000),
-            "end": int(now.timestamp() * 1000),
-            "limit": 50,
-            "filter": {"expression": "k8s.deployment.name = 'pp-dep'"},
-        },
-        timeout=5,
-    )
-    assert response.status_code == HTTPStatus.OK, response.text
-    data = response.json()["data"]
-    assert data["total"] == 1
-    rec = data["records"][0]
-    assert rec["deploymentName"] == "pp-dep"
-    assert rec["podCountsByStatus"] == expected_status_counts(running=3, crashLoopBackOff=1, error=1, evicted=1, pending=1)
-    # Phase counts unchanged by the status enrichment.
-    assert rec["podCountsByPhase"] == {"pending": 1, "running": 4, "succeeded": 0, "failed": 2, "unknown": 0}
-    # All status metrics present -> gate satisfied -> no status warning.
-    assert all("Pod status could not be computed" not in w["message"] for w in get_all_warnings(response.json()))
-
-
 def test_deployments_desired_available_counts(
     signoz: types.SigNoz,
     create_user_admin: None,  # pylint: disable=unused-argument

tests/integration/tests/inframonitoring/11_checks.py

@@ -45,13 +45,6 @@ _PODS_OPT = [
     "k8s.pod.memory_limit_utilization",
 ]
 
-# Default-off pod-status metrics (k8sclusterreceiver), optional on every tab
-# that surfaces pod status counts.
-_POD_STATUS_OPT = [
-    "k8s.pod.status_reason",
-    "k8s.container.status.reason",
-]
-
 # Mirror of checkSpecs: type -> {default|optional: {component: [metrics]}, attrs: {component: [attrs]}}.
 SPECS = {
     "hosts": {
@@ -65,8 +58,8 @@ SPECS = {
         "attrs": {HMR: ["process.pid"]},
     },
     "pods": {
-        "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase", "k8s.container.restarts"]},
-        "optional": {KSR: list(_PODS_OPT), KCR: ["k8s.pod.status_reason", "k8s.container.status.reason"]},
+        "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase"]},
+        "optional": {KSR: list(_PODS_OPT)},
         "attrs": {KAP: ["k8s.pod.uid"]},
     },
     "nodes": {
@@ -74,37 +67,37 @@ SPECS = {
             KSR: ["k8s.node.cpu.usage", "k8s.node.memory.working_set"],
             KCR: ["k8s.node.allocatable_cpu", "k8s.node.allocatable_memory", "k8s.node.condition_ready", "k8s.pod.phase"],
         },
-        "optional": {KCR: list(_POD_STATUS_OPT)},
+        "optional": {},
         "attrs": {KAP: ["k8s.node.name"]},
     },
     "deployments": {
         "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase", "k8s.deployment.desired", "k8s.deployment.available"]},
-        "optional": {KSR: list(_PODS_OPT), KCR: list(_POD_STATUS_OPT)},
+        "optional": {KSR: list(_PODS_OPT)},
         "attrs": {KAP: ["k8s.deployment.name", "k8s.namespace.name"], RDP: ["k8s.cluster.name"]},
     },
     "daemonsets": {
         "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase", "k8s.daemonset.desired_scheduled_nodes", "k8s.daemonset.current_scheduled_nodes"]},
-        "optional": {KSR: list(_PODS_OPT), KCR: list(_POD_STATUS_OPT)},
+        "optional": {KSR: list(_PODS_OPT)},
         "attrs": {KAP: ["k8s.daemonset.name", "k8s.namespace.name"], RDP: ["k8s.cluster.name"]},
     },
     "statefulsets": {
         "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase", "k8s.statefulset.desired_pods", "k8s.statefulset.current_pods"]},
-        "optional": {KSR: list(_PODS_OPT), KCR: list(_POD_STATUS_OPT)},
+        "optional": {KSR: list(_PODS_OPT)},
         "attrs": {KAP: ["k8s.statefulset.name", "k8s.namespace.name"], RDP: ["k8s.cluster.name"]},
     },
     "jobs": {
         "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase", "k8s.job.desired_successful_pods", "k8s.job.active_pods", "k8s.job.failed_pods", "k8s.job.successful_pods"]},
-        "optional": {KSR: list(_PODS_OPT), KCR: list(_POD_STATUS_OPT)},
+        "optional": {KSR: list(_PODS_OPT)},
         "attrs": {KAP: ["k8s.job.name", "k8s.namespace.name"], RDP: ["k8s.cluster.name"]},
     },
     "namespaces": {
         "default": {KSR: ["k8s.pod.cpu.usage", "k8s.pod.memory.working_set"], KCR: ["k8s.pod.phase"]},
-        "optional": {KCR: list(_POD_STATUS_OPT)},
+        "optional": {},
         "attrs": {KAP: ["k8s.namespace.name"], RDP: ["k8s.cluster.name"]},
     },
     "clusters": {
         "default": {KSR: ["k8s.node.cpu.usage", "k8s.node.memory.working_set"], KCR: ["k8s.node.allocatable_cpu", "k8s.node.allocatable_memory", "k8s.node.condition_ready", "k8s.pod.phase"]},
-        "optional": {KCR: list(_POD_STATUS_OPT)},
+        "optional": {},
         "attrs": {RDP: ["k8s.cluster.name"]},
     },
     "volumes": {

tests/integration/tests/metricreduction/01_reduced_gauge.py

@@ -0,0 +1,203 @@
+from collections.abc import Callable
+from datetime import UTC, datetime, timedelta
+
+import clickhouse_connect.driver.client
+import pytest
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.clickhouse import assert_spans_shards
+from fixtures.metrics import (
+    Metrics,
+    MetricsReducedSampleLast60s,
+    MetricsReducedTimeSeries,
+)
+from fixtures.querier import aligned_epoch, query_metric_values
+
+
+def test_stitch_across_epoch(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    insert_metrics: Callable[[list[Metrics]], None],
+    insert_reduced_metrics: Callable[..., None],
+    clickhouse_node_conns: list[clickhouse_connect.driver.client.Client],
+) -> None:
+    """Before the rule activates, samples live in the raw tables; after, only
+    the reduced 60s tables have data. One query spanning the boundary must
+    stitch the two branches into a continuous series with no gap and no double
+    counting: 32 raw series at 2.0 collapse into 16 groups whose sum_last is
+    4.0, so the summed value stays 320 per step across the epoch. Enough
+    series to guarantee both shards hold data (guarded below), so the totals
+    also prove the raw and reduced joins execute shard-local."""
+    metric_name = "test_reduction_stitch"
+    base_epoch = aligned_epoch(timedelta(hours=30), step_seconds=300)
+    services = [f"svc-{i:02d}" for i in range(16)]
+
+    # first 30 minutes: raw samples (2 pods per service, one sample per minute)
+    insert_metrics(
+        [
+            Metrics(
+                metric_name=metric_name,
+                labels={"service": service, "pod": f"{service}-pod-{pod}"},
+                timestamp=datetime.fromtimestamp(base_epoch + minute * 60, tz=UTC),
+                value=2.0,
+                type_="Gauge",
+                is_monotonic=False,
+            )
+            for service in services
+            for pod in range(2)
+            for minute in range(30)
+        ]
+    )
+
+    # next 30 minutes: reduced 60s buckets (one group per service)
+    time_series = [
+        MetricsReducedTimeSeries(
+            metric_name=metric_name,
+            kept_labels={"service": service},
+            timestamp=datetime.fromtimestamp(base_epoch + 30 * 60, tz=UTC),
+        )
+        for service in services
+    ]
+    insert_reduced_metrics(
+        time_series,
+        [
+            MetricsReducedSampleLast60s(
+                metric_name=metric_name,
+                reduced_fingerprint=ts.fingerprint,
+                timestamp=datetime.fromtimestamp(base_epoch + (30 + minute) * 60, tz=UTC),
+                sum_last=4.0,
+                min_value=2.0,
+                max_value=2.0,
+                sum_values=4.0,
+                count_series=2,
+                count_samples=2,
+            )
+            for ts in time_series
+            for minute in range(30)
+        ],
+    )
+
+    assert_spans_shards(clickhouse_node_conns, "time_series_v4", metric_name, total=len(services) * 2)
+    assert_spans_shards(clickhouse_node_conns, "time_series_v4_reduced", metric_name, total=len(services))
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    values = query_metric_values(signoz, token, metric_name, base_epoch, base_epoch + 3600, "sum", "sum", step_interval=300)
+
+    assert [v["timestamp"] for v in values] == [(base_epoch + step * 300) * 1000 for step in range(12)]
+    assert [v["value"] for v in values] == [320.0] * 12
+
+
+@pytest.mark.parametrize(
+    "space_agg, expected",
+    [
+        ("sum", 12.0),  # sum_last: 4 + 8
+        ("avg", 3.0),  # sum(sum_last) / sum(count_series): 12 / 4
+        ("min", 1.0),  # min(min)
+        ("max", 6.0),  # max(max)
+    ],
+)
+def test_space_aggregations(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    insert_reduced_metrics: Callable[..., None],
+    space_agg: str,
+    expected: float,
+) -> None:
+    """Space aggregations read the reduced pre-aggregated columns: sum/avg
+    from sum_last with the count_series weight, min/max from the min/max
+    columns."""
+    metric_name = f"test_reduction_space_{space_agg}"
+    base_epoch = aligned_epoch(timedelta(hours=30), step_seconds=300)
+
+    groups = [
+        # (service, sum_last, min, max, count_series)
+        ("a", 4.0, 1.0, 3.0, 2),
+        ("b", 8.0, 2.0, 6.0, 2),
+    ]
+    time_series = {
+        service: MetricsReducedTimeSeries(
+            metric_name=metric_name,
+            kept_labels={"service": service},
+            timestamp=datetime.fromtimestamp(base_epoch, tz=UTC),
+        )
+        for service, _, _, _, _ in groups
+    }
+    insert_reduced_metrics(
+        list(time_series.values()),
+        [
+            MetricsReducedSampleLast60s(
+                metric_name=metric_name,
+                reduced_fingerprint=time_series[service].fingerprint,
+                timestamp=datetime.fromtimestamp(base_epoch + minute * 60, tz=UTC),
+                sum_last=sum_last,
+                min_value=min_value,
+                max_value=max_value,
+                sum_values=sum_last,
+                count_series=count_series,
+                count_samples=count_series,
+            )
+            for service, sum_last, min_value, max_value, count_series in groups
+            for minute in range(20)
+        ],
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    values = query_metric_values(signoz, token, metric_name, base_epoch, base_epoch + 20 * 60, "avg", space_agg, step_interval=300)
+
+    assert [v["timestamp"] for v in values] == [(base_epoch + step * 300) * 1000 for step in range(4)]
+    assert [v["value"] for v in values] == [expected] * 4
+
+
+def test_dedup_latest_computed_at_wins(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    insert_reduced_metrics: Callable[..., None],
+) -> None:
+    """The refreshable MVs re-emit every bucket on each refresh with a newer
+    computed_at (APPEND mode); reads must dedup to the latest version per
+    (series, bucket). Recompute the same buckets with a newer computed_at and
+    a different value: only the newer value may be counted."""
+    metric_name = "test_reduction_dedup"
+    base_epoch = aligned_epoch(timedelta(hours=30), step_seconds=300)
+
+    time_series = [
+        MetricsReducedTimeSeries(
+            metric_name=metric_name,
+            kept_labels={"service": service},
+            timestamp=datetime.fromtimestamp(base_epoch, tz=UTC),
+        )
+        for service in ("a", "b")
+    ]
+
+    def buckets(sum_last: float, computed_at_offset_seconds: int) -> list[MetricsReducedSampleLast60s]:
+        return [
+            MetricsReducedSampleLast60s(
+                metric_name=metric_name,
+                reduced_fingerprint=ts.fingerprint,
+                timestamp=datetime.fromtimestamp(base_epoch + minute * 60, tz=UTC),
+                sum_last=sum_last,
+                min_value=sum_last,
+                max_value=sum_last,
+                sum_values=sum_last,
+                count_series=1,
+                count_samples=1,
+                computed_at=datetime.fromtimestamp(base_epoch + minute * 60 + computed_at_offset_seconds, tz=UTC),
+            )
+            for ts in time_series
+            for minute in range(10)
+        ]
+
+    # first refresh emits 1.0; a later refresh recomputes the same buckets to 5.0
+    insert_reduced_metrics(time_series, buckets(sum_last=1.0, computed_at_offset_seconds=120))
+    insert_reduced_metrics(time_series, buckets(sum_last=5.0, computed_at_offset_seconds=180))
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    values = query_metric_values(signoz, token, metric_name, base_epoch, base_epoch + 10 * 60, "sum", "sum", step_interval=300)
+
+    # 2 groups x 5 buckets x 5.0 per step; 1.0 rows must not contribute
+    assert [v["timestamp"] for v in values] == [(base_epoch + step * 300) * 1000 for step in range(2)]
+    assert [v["value"] for v in values] == [50.0] * 2

tests/integration/tests/metricreduction/02_reduced_counter.py

@@ -0,0 +1,70 @@
+from collections.abc import Callable
+from datetime import UTC, datetime, timedelta
+
+import pytest
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.metrics import (
+    MetricsReducedSampleSum60s,
+    MetricsReducedTimeSeries,
+)
+from fixtures.querier import aligned_epoch, query_metric_values
+
+
+@pytest.mark.parametrize(
+    "time_agg, expected",
+    [
+        # 2 groups x 5 buckets x 30.0 per 300s step
+        ("rate", 1.0),  # 300 / 300s
+        ("increase", 300.0),
+    ],
+)
+def test_counter_rate_and_increase(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    insert_reduced_metrics: Callable[..., None],
+    time_agg: str,
+    expected: float,
+) -> None:
+    metric_name = f"test_reduction_counter_{time_agg}"
+    base_epoch = aligned_epoch(timedelta(hours=30), step_seconds=300)
+
+    # monotonic cumulative counter: MetricsReducedTimeSeries mirrors the
+    # collector's temporality rewrite to Delta
+    time_series = [
+        MetricsReducedTimeSeries(
+            metric_name=metric_name,
+            kept_labels={"service": service},
+            timestamp=datetime.fromtimestamp(base_epoch, tz=UTC),
+            temporality="Cumulative",
+            type_="Sum",
+            is_monotonic=True,
+        )
+        for service in ("a", "b")
+    ]
+    assert all(ts.temporality == "Delta" for ts in time_series)
+
+    insert_reduced_metrics(
+        time_series,
+        sum_samples=[
+            MetricsReducedSampleSum60s(
+                metric_name=metric_name,
+                reduced_fingerprint=ts.fingerprint,
+                timestamp=datetime.fromtimestamp(base_epoch + minute * 60, tz=UTC),
+                sum_value=30.0,
+                count_series=2,
+                count_samples=2,
+                temporality="Delta",
+            )
+            for ts in time_series
+            for minute in range(20)
+        ],
+    )
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    values = query_metric_values(signoz, token, metric_name, base_epoch, base_epoch + 20 * 60, time_agg, "sum", step_interval=300)
+
+    assert [v["timestamp"] for v in values] == [(base_epoch + step * 300) * 1000 for step in range(4)]
+    assert [v["value"] for v in values] == [expected] * 4

tests/integration/tests/metricreduction/03_reduced_buffer_window.py

@@ -0,0 +1,70 @@
+from collections.abc import Callable
+from datetime import timedelta
+from http import HTTPStatus
+
+from fixtures import types
+from fixtures.auth import USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD
+from fixtures.metricreduction import build_ruled_gauge_buffer
+from fixtures.querier import (
+    aligned_epoch,
+    build_builder_query,
+    get_all_series,
+    index_series_by_label,
+    make_query_request,
+    query_metric_values,
+)
+
+SERVICES = ("a", "b")
+PODS_PER_SERVICE = 2
+MINUTES = 20
+
+
+def test_recent_window_reads_buffer_totals(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    insert_buffer_metrics: Callable[..., None],
+) -> None:
+    metric_name = "test_reduction_buffer_totals"
+    # samples span [now-25m, now-5m); the query window sits inside the last 24h
+    base_epoch = aligned_epoch(timedelta(minutes=25), step_seconds=300)
+    insert_buffer_metrics(*build_ruled_gauge_buffer(metric_name, base_epoch, SERVICES, PODS_PER_SERVICE, MINUTES))
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    values = query_metric_values(signoz, token, metric_name, base_epoch, base_epoch + MINUTES * 60, "sum", "sum", step_interval=300)
+
+    # 4 raw series x 5 samples x 1.0 per step: full raw resolution, and the
+    # is_reduced=true series rows must not join in (their fingerprints match
+    # no samples, and the ts CTE filters them out)
+    assert [v["timestamp"] for v in values] == [(base_epoch + step * 300) * 1000 for step in range(4)]
+    assert [v["value"] for v in values] == [float(len(SERVICES) * PODS_PER_SERVICE * 5)] * 4
+
+
+def test_recent_window_group_by_raw_label(
+    signoz: types.SigNoz,
+    create_user_admin: None,  # pylint: disable=unused-argument
+    get_token: Callable[[str, str], str],
+    insert_buffer_metrics: Callable[..., None],
+) -> None:
+    """Group-by resolves against the raw buffer series rows (full labels), so
+    grouping by the kept label still sees every raw series underneath."""
+    metric_name = "test_reduction_buffer_groupby"
+    base_epoch = aligned_epoch(timedelta(minutes=25), step_seconds=300)
+    insert_buffer_metrics(*build_ruled_gauge_buffer(metric_name, base_epoch, SERVICES, PODS_PER_SERVICE, MINUTES))
+
+    token = get_token(USER_ADMIN_EMAIL, USER_ADMIN_PASSWORD)
+    response = make_query_request(
+        signoz,
+        token,
+        start_ms=base_epoch * 1000,
+        end_ms=(base_epoch + MINUTES * 60) * 1000,
+        queries=[build_builder_query("A", metric_name, "sum", "sum", step_interval=300, group_by=["service"])],
+    )
+    assert response.status_code == HTTPStatus.OK, response.text
+
+    series_by_service = index_series_by_label(get_all_series(response.json(), "A"), "service")
+    assert set(series_by_service.keys()) == set(SERVICES)
+    for service in SERVICES:
+        values = sorted(series_by_service[service]["values"], key=lambda v: v["timestamp"])
+        # 2 pods x 5 samples x 1.0 per step
+        assert [v["value"] for v in values] == [float(PODS_PER_SERVICE * 5)] * 4

tests/integration/tests/metricreduction/conftest.py

@@ -0,0 +1,114 @@
+from collections.abc import Generator
+from typing import Any
+
+import pytest
+from testcontainers.core.container import Network
+
+from fixtures import types
+from fixtures.auth import register_admin
+from fixtures.clickhouse import create_clickhouse_cluster, create_clickhouse_keeper
+from fixtures.http import ZEUS_NETWORK_ALIAS, create_zeus
+from fixtures.migrator import create_migrator
+from fixtures.signoz import create_signoz
+
+SCHEMA_MIGRATOR_VERSION = "v0.144.6-rc.2"
+CLICKHOUSE_VERSION = "25.12.5"
+
+
+@pytest.fixture(name="keeper", scope="package")
+def keeper_metricreduction(
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerDocker:
+    return create_clickhouse_keeper(
+        tmpfs=tmpfs,
+        network=network,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="keeper_metricreduction",
+        version=CLICKHOUSE_VERSION,
+    )
+
+
+@pytest.fixture(name="zeus", scope="package")
+def zeus_metricreduction(
+    network: Network,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerDocker:
+    return create_zeus(
+        network=network,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="zeus_metricreduction",
+        alias=ZEUS_NETWORK_ALIAS,
+    )
+
+
+@pytest.fixture(name="clickhouse", scope="package")
+def clickhouse_metricreduction(
+    tmpfs: Generator[types.LegacyPath, Any],
+    network: Network,
+    keeper: types.TestContainerDocker,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.TestContainerClickhouse:
+    return create_clickhouse_cluster(
+        tmpfs=tmpfs,
+        network=network,
+        keeper=keeper,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="clickhouse_metricreduction",
+        shards=2,
+        version=CLICKHOUSE_VERSION,
+    )
+
+
+@pytest.fixture(name="migrator", scope="package")
+def migrator_metricreduction(
+    network: Network,
+    clickhouse: types.TestContainerClickhouse,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.Operation:
+    return create_migrator(
+        network=network,
+        clickhouse=clickhouse,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="migrator_metricreduction",
+        version=SCHEMA_MIGRATOR_VERSION,
+    )
+
+
+@pytest.fixture(name="signoz", scope="package")
+def signoz_metricreduction(  # pylint: disable=too-many-arguments,too-many-positional-arguments
+    network: Network,
+    zeus: types.TestContainerDocker,
+    gateway: types.TestContainerDocker,
+    sqlstore: types.TestContainerSQL,
+    clickhouse: types.TestContainerClickhouse,
+    request: pytest.FixtureRequest,
+    pytestconfig: pytest.Config,
+) -> types.SigNoz:
+    return create_signoz(
+        network=network,
+        zeus=zeus,
+        gateway=gateway,
+        sqlstore=sqlstore,
+        clickhouse=clickhouse,
+        request=request,
+        pytestconfig=pytestconfig,
+        cache_key="signoz_metricreduction",
+        env_overrides={
+            "SIGNOZ_FLAGGER_CONFIG_BOOLEAN_ENABLE__METRICS__REDUCTION": True,
+        },
+    )
+
+
+@pytest.fixture(name="create_user_admin", scope="package")
+def create_user_admin_metricreduction(signoz: types.SigNoz, request: pytest.FixtureRequest, pytestconfig: pytest.Config) -> types.Operation:
+    return register_admin(signoz, request, pytestconfig, cache_key="create_user_admin_metricreduction")