DevOps

telemetry

Operate and troubleshoot Prometheus, OpenTelemetry Collector, and Loki deployments, including scraping, pipelines, rules, retention, relabeling, queries, and read-only configuration checks.

★ 88 GitHub Stars
94 품질 점수
13 파일

이 Skill 소개

Operate the observability stack that deploys as one unit: Prometheus scrape configuration, recording and alerting rules, relabeling, retention, and high availability; OpenTelemetry Collector pipelines (receivers, processors, exporters, sampling, trace/span correlation); and Loki ingest, LogQL, retention, and label design — with a bundled read-only telemetry-check script for Prometheus rule sanity and scrape-target reachability. Use when running, tuning, or troubleshooting a Prometheus, OpenTelemetry Collector, or Loki deployment, or reviewing the collection/ingest/retention layer, including bounded PromQL and LogQL query construction, semantic review, and no-data diagnosis. Do not use for observability strategy, SLI/SLO design, or paging policy (that is platform-engineering), Grafana dashboards, panels, and Grafana-side alerting (that is grafana), or Tempo/tracing operations, which remain deferred to a future named-tool skill.

사용 사례

  • Review Prometheus scrape configurations and rules
  • Troubleshoot OpenTelemetry Collector pipelines
  • Diagnose Loki ingestion and label issues
  • Construct bounded PromQL and LogQL queries
  • Check rule structure and scrape-target reachability

기능

  • Read-only telemetry-check script for rule sanity and target reachability
  • Prometheus rules, scraping, relabeling, retention, and HA guidance
  • OpenTelemetry Collector pipeline and sampling guidance
  • Loki ingestion, LogQL, retention, and label design guidance
  • Bounded query investigation and no-data diagnosis workflows

요구 사항

  • Python 3.9+

지원 Agent

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