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Prometheus

prometheus

Prometheus ops skill for metrics instrumentation, scraping configuration, alerting (Alertmanager), dashboarding (Grafana), SLO/SLA monitoring, and troubleshooting missing/incorrect metrics. Use for tasks like designing alert rules, improving observability, and building production monitoring runbo...

muzhicaomingwang/ai-ideas0installs3stars

SKILL.md

Full skill instructions

prometheus

Use this skill for Prometheus + Alertmanager + Grafana 监控体系建设与运维。

Defaults / assumptions to confirm

  • Deployment: kube-prometheus-stack / standalone
  • Alert routing: Alertmanager receivers (Slack/​WeCom/​PagerDuty)
  • Metrics source: app exporters, node-exporter, kube-state-metrics
  • Naming conventions and label cardinality constraints

Workflow

  1. Understand what to measure
  • Identify golden signals: latency, traffic, errors, saturation.
  • Map business KPIs and critical user journeys to technical indicators.
  1. Instrumentation guidance
  • Prefer stable metric names and bounded label sets.
  • Avoid high-cardinality labels (user_id, request_id, raw URLs).
  • Use histograms for latency (p50/​p95/​p99 via histogram_quantile).
  1. Scraping configuration
  • Confirm scrape targets (ServiceMonitor/​PodMonitor or static configs).
  • Ensure relabeling rules are correct; set scrape intervals/​timeouts appropriately.
  1. Alert design (practical)
  • Alerts should be actionable and low-noise.
  • Use multi-window multi-burn-rate for SLO alerts where applicable.
  • Add for: to avoid flapping; include runbook links in annotations.
  1. Dashboarding
  • Provide per-service dashboards: RPS, p95 latency, error rate, resource usage.
  • Add drill-down: by route group, instance, and dependency.
  1. Troubleshooting checklist
  • Missing metrics: target down, wrong labels, scrape failures, RBAC/​network issues.
  • Wrong metrics: unit mismatch, counter resets, histogram buckets incorrect.
  • High load: cardinality explosion, too frequent scrapes, heavy queries.

Outputs

  • Metrics plan: required metrics, labels, and thresholds.
  • Alert rules: PromQL + severity + routing + runbook.
  • Grafana dashboard layout and key panels.
  • Runbook: symptom → checks → mitigation → rollback.

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