observability
Use when adding logging to services, setting up monitoring, creating alerts, debugging production issues, designing SLIs/SLOs, or implementing structured logging (Pino, Winston), metrics (Prometheus, DataDog, CloudWatch), or distributed tracing (OpenTelemetry).
What this skill does
# Observability Implement the three pillars of observability: logs, metrics, and traces. ## The Three Pillars | Pillar | Purpose | Key Question | |--------|---------|--------------| | **Logs** | Discrete events with context | What happened? | | **Metrics** | Aggregated measurements | How much/many? | | **Traces** | Request flow across services | Where did time go? | ## Quick Pick - Debug specific request? → Logs + Traces - Alert on thresholds? → Metrics - Understand system health? → All three - Starting from zero? → Logs first, then metrics, then traces ## Key Principles - Use structured logging (JSON) with correlation IDs across all services - Instrument the four golden signals: latency, traffic, errors, saturation - Define SLIs/SLOs before building dashboards or alerts - Alert on symptoms (user impact), not causes (CPU usage) ## Quick Start Checklist 1. Set up structured logger (Pino recommended for Node.js) 2. Add request correlation IDs (middleware) 3. Instrument key metrics (RED: Rate, Errors, Duration) 4. Configure distributed tracing (OpenTelemetry) 5. Create dashboards for golden signals 6. Set up alerts with appropriate severity levels ## References | Reference | Description | |-----------|-------------| | [logging-patterns.md](references/logging-patterns.md) | Structured logging, log levels, Pino/Winston setup | | [metrics-guide.md](references/metrics-guide.md) | Prometheus, counters/gauges/histograms, golden signals | | [tracing-basics.md](references/tracing-basics.md) | OpenTelemetry, distributed tracing, span design | | [alerting-guide.md](references/alerting-guide.md) | Alert design, SLIs/SLOs, severity levels, dashboards |
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