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[CONTP-1569] KSM pod .total aggregation through a clc cluster_aggregates_only check - #53042

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[CONTP-1569] KSM pod .total aggregation through a clc cluster_aggregates_only check#53042
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit into
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minyi/ksm-total-aggregation-dca-reflector

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@zhuminyi

@zhuminyi zhuminyi commented Jul 1, 2026

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What does this PR do?

image

Fixes under-reporting of the kubernetes_state.{container}.<cpu|memory|gpu>_{requested,limit}.total
family when the KSM check runs in pod_collection_mode: node_kubelet.

Motivation

In node_kubelet mode every node agent computes the .total family from its local pod view and emits it with a reduced tag set[namespace, container, owner_kind, owner_name], with no host/pod/node tag.
Because every node emits a byte-identical series at (roughly) the same timestamp, the backend's same-tags/same-timestamp collision rule keeps only one node's value. Result: the cluster aggregation metrics are total under-reported, sum does not work either.

Count-style metrics (pod.count, etc.) are unaffected — they carry a node tag, so per-node series stay distinct and sum correctly. Only the tag-collapsed .total family breaks.

A new pod_collection_mode: cluster_aggregates_only watches all** pods and emits only the .total family. It will be run on clc runner but aggregate just the 4 owner-tagged source metrics.

Describe how you validated your changes

Suppression is enabled per-instance via the cluster_aggregates_enabled KSM check option, set on the node_kubelet and cluster_unassigned instances (the cluster_aggregates_only instance omits it).

For operator Datadog CR, related PR

apiVersion: datadoghq.com/v2alpha1
kind: DatadogAgent
metadata:
  name: datadog
  namespace: datadog
spec:
  global:
    credentials:
      apiSecret:
        secretName: datadog-secret
        keyName: api-key
  features:
    kubeStateMetricsCore:
      enabled: true
      conf:
        configData: |-
          cluster_check: true
          init_config:
          instances:
            # non-pod resources + unassigned pods
            - skip_leader_election: true
              pod_collection_mode: cluster_unassigned
              cluster_aggregates_enabled: true
            - skip_leader_election: true
              pod_collection_mode: cluster_aggregates_only
    clusterChecks:
      enabled: true
  override:
    nodeAgent:
      extraConfd:
        configDataMap:
          kubernetes_state_core.yaml: |-
            init_config:
            instances:
              - collectors:
                  - pods
                pod_collection_mode: node_kubelet
                cluster_aggregates_enabled: true

For Helm install

datadog:
  clusterChecks:
    enabled: true
  kubeStateMetricsCore:
    enabled: true

  # node agents → node_kubelet (scheduled pods)
  confd:
    kubernetes_state_core.yaml: |-
      init_config:
      instances:
        - collectors:
            - pods
          pod_collection_mode: node_kubelet
          cluster_aggregates_enabled: true

clusterAgent:
  confd:
    kubernetes_state_core.yaml: |-
      cluster_check: true
      init_config:
      instances:
        - skip_leader_election: true
          pod_collection_mode: cluster_unassigned
          cluster_aggregates_enabled: true
        - skip_leader_election: true
          pod_collection_mode: cluster_aggregates_only

Additional Notes

@github-actions github-actions Bot added the long review PR is complex, plan time to review it label Jul 1, 2026
chatgpt-codex-connector[bot]

This comment was marked as outdated.

@datadog-datadog-us1-prod

datadog-datadog-us1-prod Bot commented Jul 1, 2026

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🎯 Code Coverage (details)
Patch Coverage: 51.35%
Overall Coverage: 51.45% (+0.11%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 85c2fce | Docs | Datadog PR Page | Give us feedback!

@dd-octo-sts

dd-octo-sts Bot commented Jul 1, 2026

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Files inventory check summary

File checks results against ancestor 1ec050b1:

Results for datadog-agent_7.82.0~devel.git.696.85c2fce.pipeline.123347734-1_amd64.deb:

No change detected

@dd-octo-sts

dd-octo-sts Bot commented Jul 1, 2026

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Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor 1ec050b
📊 Static Quality Gates Dashboard
🔗 SQG Job

Successful checks

Info

Quality gate Change Size (prev → curr → max)
agent_deb_amd64 +3.89 KiB (0.00% increase, -0.04% of buffer) 748.568 → 748.572 → 758.200
agent_rpm_amd64 +3.89 KiB (0.00% increase, -0.04% of buffer) 748.552 → 748.556 → 758.170
agent_suse_amd64 +3.89 KiB (0.00% increase, -0.04% of buffer) 748.552 → 748.556 → 758.170
docker_agent_amd64 +3.9 KiB (0.00% increase, -0.06% of buffer) 807.326 → 807.330 → 813.790
docker_agent_jmx_amd64 +3.9 KiB (0.00% increase, -0.06% of buffer) 998.223 → 998.227 → 1004.550
27 successful checks with minimal change (< 2 KiB)
Quality gate Current Size
agent_deb_amd64_fips 703.573 MiB
agent_heroku_amd64 307.027 MiB
agent_rpm_amd64_fips 703.556 MiB
agent_rpm_arm64 723.831 MiB
agent_rpm_arm64_fips 682.552 MiB
agent_suse_amd64_fips 703.556 MiB
agent_suse_arm64 723.831 MiB
agent_suse_arm64_fips 682.552 MiB
docker_agent_arm64 807.622 MiB
docker_agent_jmx_arm64 987.171 MiB
docker_cluster_agent_amd64 209.369 MiB
docker_cluster_agent_arm64 222.451 MiB
docker_cws_instrumentation_amd64 7.447 MiB
docker_cws_instrumentation_arm64 6.877 MiB
docker_dogstatsd_amd64 39.145 MiB
docker_dogstatsd_arm64 37.242 MiB
docker_host_profiler_amd64 302.477 MiB
docker_host_profiler_arm64 314.024 MiB
dogstatsd_deb_amd64 29.880 MiB
dogstatsd_deb_arm64 27.920 MiB
dogstatsd_rpm_amd64 29.880 MiB
dogstatsd_suse_amd64 29.880 MiB
iot_agent_deb_amd64 45.829 MiB
iot_agent_deb_arm64 42.528 MiB
iot_agent_deb_armhf 43.309 MiB
iot_agent_rpm_amd64 45.830 MiB
iot_agent_suse_amd64 45.828 MiB

@cit-pr-commenter-54b7da

cit-pr-commenter-54b7da Bot commented Jul 1, 2026

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 6174180d-4679-45e9-b79a-43fb5562a364

Baseline: 322357e
Comparison: bb5bef8
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
quality_gate_logs % cpu utilization +1.65 [+0.58, +2.73] 1 Logs bounds checks dashboard
quality_gate_metrics_logs memory utilization +0.37 [+0.12, +0.62] 1 Logs bounds checks dashboard
quality_gate_idle memory utilization -0.01 [-0.06, +0.04] 1 Logs bounds checks dashboard
quality_gate_security_mean_fs_load memory utilization -0.09 [-0.13, -0.05] 1 Logs bounds checks dashboard
quality_gate_security_idle memory utilization -0.11 [-0.18, -0.05] 1 Logs bounds checks dashboard
quality_gate_idle_all_features memory utilization -0.17 [-0.21, -0.14] 1 Logs bounds checks dashboard
quality_gate_security_no_fs_load memory utilization -0.60 [-0.70, -0.50] 1 Logs bounds checks dashboard

Bounds Checks: ✅ Passed

perf experiment bounds_check_name replicates_passed observed_value links
quality_gate_idle intake_connections 10/10 3 ≤ 4 bounds checks dashboard
quality_gate_idle memory_usage 10/10 146.91MiB ≤ 154MiB bounds checks dashboard
quality_gate_idle total_bytes_received 10/10 577.54KiB ≤ 819.20KiB bounds checks dashboard
quality_gate_idle_all_features intake_connections 10/10 3 ≤ 4 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 485.41MiB ≤ 495MiB bounds checks dashboard
quality_gate_idle_all_features total_bytes_received 10/10 0.89MiB ≤ 1.25MiB bounds checks dashboard
quality_gate_logs intake_connections 10/10 4 ≤ 6 bounds checks dashboard
quality_gate_logs memory_usage 10/10 183.06MiB ≤ 195MiB bounds checks dashboard
quality_gate_logs missed_bytes 10/10 0B = 0B bounds checks dashboard
quality_gate_logs total_bytes_received 10/10 264.17MiB ≤ 292MiB bounds checks dashboard
quality_gate_metrics_logs cpu_usage 10/10 334.55 ≤ 2000 bounds checks dashboard
quality_gate_metrics_logs intake_connections 10/10 3 ≤ 6 bounds checks dashboard
quality_gate_metrics_logs memory_usage 10/10 390.33MiB ≤ 430MiB bounds checks dashboard
quality_gate_metrics_logs missed_bytes 10/10 0B = 0B bounds checks dashboard
quality_gate_metrics_logs total_bytes_received 10/10 0.86GiB ≤ 1.04GiB bounds checks dashboard
quality_gate_security_idle cpu_usage 10/10 29.56 ≤ 40 bounds checks dashboard
quality_gate_security_idle memory_usage 10/10 296.83MiB ≤ 330MiB bounds checks dashboard
quality_gate_security_mean_fs_load cpu_usage 10/10 61.38 ≤ 80 bounds checks dashboard
quality_gate_security_mean_fs_load memory_usage 10/10 276.26MiB ≤ 310MiB bounds checks dashboard
quality_gate_security_no_fs_load cpu_usage 10/10 22.01 ≤ 40 bounds checks dashboard
quality_gate_security_no_fs_load memory_usage 10/10 289.55MiB ≤ 320MiB bounds checks dashboard

Explanation

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

Performance changes are noted in the perf column of each table:

  • ✅ = significantly better comparison variant performance
  • ❌ = significantly worse comparison variant performance
  • ➖ = no significant change in performance

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

  3. Its configuration does not mark it "erratic".

Replicate Execution Details

We run multiple replicates for each experiment/variant. However, we allow replicates to be automatically retried if there are any failures, up to 8 times, at which point the replicate is marked dead and we are unable to run analysis for the entire experiment. We call each of these attempts at running replicates a replicate execution. This section lists all replicate executions that failed due to the target crashing or being oom killed.

Note: In the below tables we bucket failures by experiment, variant, and failure type. For each of these buckets we list out the replicate indexes that failed with an annotation signifying how many times said replicate failed with the given failure mode. In the below example the baseline variant of the experiment named experiment_with_failures had two replicates that failed by oom kills. Replicate 0, which failed 8 executions, and replicate 1 which failed 6 executions, all with the same failure mode.

Experiment Variant Replicates Failure Logs Debug Dashboard
experiment_with_failures baseline 0 (x8) 1 (x6) Oom killed Debug Dashboard

The debug dashboard links will take you to a debugging dashboard specifically designed to investigate replicate execution failures.

❌ Retried Profiling Replicate Execution Failures (ddprof)

Note: Profiling replicas may still be executing. See the debug dashboard for up to date status.

Experiment Variant Replicates Failure Debug Dashboard
quality_gate_idle comparison 10 Oom killed Debug Dashboard
quality_gate_idle_all_features comparison 10 Oom killed Debug Dashboard
quality_gate_logs baseline 10 Oom killed Debug Dashboard
quality_gate_logs comparison 10 Oom killed Debug Dashboard
quality_gate_metrics_logs baseline 10 Oom killed Debug Dashboard
quality_gate_metrics_logs comparison 10 Oom killed Debug Dashboard
quality_gate_security_idle comparison 10 Oom killed Debug Dashboard
quality_gate_security_mean_fs_load baseline 10 Oom killed Debug Dashboard
quality_gate_security_mean_fs_load comparison 10 Oom killed Debug Dashboard
quality_gate_security_no_fs_load comparison 10 Oom killed Debug Dashboard

CI Pass/Fail Decision

Passed. All Quality Gates passed.

  • quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_security_mean_fs_load, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_security_mean_fs_load, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_security_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_security_idle, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_security_no_fs_load, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_security_no_fs_load, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.

@zhuminyi
zhuminyi force-pushed the minyi/ksm-total-aggregation-dca-reflector branch 8 times, most recently from 595195a to 6a6ac49 Compare July 1, 2026 03:31
@github-actions github-actions Bot added medium review PR review might take time and removed long review PR is complex, plan time to review it labels Jul 1, 2026
@zhuminyi zhuminyi changed the title Minyi/ksm total aggregation dca reflector ksm total aggregation on clc runner Jul 2, 2026
@zhuminyi zhuminyi changed the title ksm total aggregation on clc runner ksm pod .total aggregation through a clc cluster_aggregates_only check Jul 2, 2026
@zhuminyi zhuminyi changed the title ksm pod .total aggregation through a clc cluster_aggregates_only check [CONTP-1569] KSM pod .total aggregation through a clc cluster_aggregates_only check Jul 2, 2026
@zhuminyi
zhuminyi marked this pull request as ready for review July 2, 2026 10:11
@zhuminyi
zhuminyi requested review from a team as code owners July 2, 2026 10:11
@zhuminyi
zhuminyi requested a review from dustmop July 2, 2026 10:11
@zhuminyi
zhuminyi force-pushed the minyi/ksm-total-aggregation-dca-reflector branch from 6a6ac49 to e4a1efb Compare July 2, 2026 13:38
@zhuminyi zhuminyi added this to the 7.82.0 milestone Jul 2, 2026
@zhuminyi zhuminyi added the qa/done QA done before merge and regressions are covered by tests label Jul 2, 2026
@zhuminyi
zhuminyi force-pushed the minyi/ksm-total-aggregation-dca-reflector branch 3 times, most recently from b3873e0 to 45acd8a Compare July 7, 2026 18:16
…only check

Multi-node node_kubelet mode silently under-reports the
kubernetes_state.{container,initcontainer}.<res>_{requested,limit}.total
family. Every node-agent emits the same metric with the same reduced
tag set ([namespace, container, owner_name, owner_kind] — no host/pod/
node), so the backend's same-timestamp same-tags collision rule keeps
only one value. Verified on the workspace cluster (50% gap on kindnet)
and on gizmo (64% gap cluster-wide vs the per-pod oracle).

Split architecture:
  - Node-agents in node_kubelet: keep per-pod emission for local
    scheduled pods, suppress .total accumulation.
  - CLC runner in cluster_unassigned: keep per-pod emission for
    unscheduled pods only, suppress .total accumulation.
  - A new pod_collection_mode (cluster_aggregates_only), meant to run
    on the cluster-agent or a cluster check runner (dispatched via the
    normal cluster_check mechanism, same as cluster_unassigned): sole
    authoritative source for the .total family. Watches pods directly
    from the API server via the same reflector-backed mechanism
    defaultPodCollection/clusterUnassignedPodCollection already use —
    no dependency on workloadmeta's pod store, so correctness never
    hinges on whether that store happens to be running or populated.
  - processMetrics suppression gate: skip the 4 colliding source
    metrics in node_kubelet and cluster_unassigned modes, gated by
    kubernetes_state_core.cluster_aggregates.enabled. Default and
    cluster_aggregates_only modes still accumulate normally.

Also mirrors the existing InitContainers-populating conversion path
(RestartPolicy/ResizePolicy passthrough) used elsewhere in workloadmeta's
kubeapiserver pod parsing, unrelated to but adjacent to this change.

Design + plan in docs/dev/ksm-aggregation/.
@zhuminyi
zhuminyi force-pushed the minyi/ksm-total-aggregation-dca-reflector branch from 45acd8a to 85c2fce Compare July 7, 2026 18:18
@gh-worker-dd-mergequeue-cf854d
gh-worker-dd-mergequeue-cf854d Bot merged commit bb5bef8 into main Jul 8, 2026
269 checks passed
@gh-worker-dd-mergequeue-cf854d
gh-worker-dd-mergequeue-cf854d Bot deleted the minyi/ksm-total-aggregation-dca-reflector branch July 8, 2026 03:22
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