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SIG Instrumentation Introduction and Deep Dive

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SIG Instrumentation enforces consistent signals across Kubernetes: metrics use the Prometheus metric format with stability annotations to avoid breaking renames, plus exemplars added to some API server metrics in 1.2. New human-readable Z pages land in 1.32 and expand to all control plane components in 1.33. Logging gains contextual structured output and an optional JSON mode via klog; tracing is deployed in apiserver and kubelet with GA targeted for 1.34. Subprojects include UMC (per-second high‑fidelity metrics, cgroupv2 support), KSM, and a near‑alpha resource state metrics that decouples CRDs.

AI-written summary · about

  1. 0:00SIG Instrumentation overview
  2. 1:48SIG goals and processes
  3. 2:51Kubernetes metrics and Prometheus
  4. 4:15Metrics stability framework
  5. 5:39Key metrics for debugging
  6. 7:23Kubernetes Z pages
  7. 8:46Structured logging with Klog
  8. 10:33Contextual logging improvements
  9. 12:18Distributed tracing in Kubernetes
  10. 14:28Tracing with metrics and logs
  11. 16:38Tracing progress and plans
  12. 17:00Usage Metrics Collector
  13. 19:04Kube State Metrics
  14. 21:34Resource State Metrics and Auto SIM
  15. 24:22Extensible resolvers in RSM
  16. 25:24Contributing to SIG Instrumentation
  17. 27:10Resources and community
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