# Structured Logging And Observability

> Use this skill when building production services, pipelines, or automation that needs to be debugged, monitored, or audited. Add structured logs, metrics, and health checks before shipping any service.

- Skill: `tomevault-io/structured-logging-and-observability` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/structured-logging-and-observability`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/structured-logging-and-observability/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/structured-logging-and-observability

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# Structured Logging and Observability

**Log levels:**
- `DEBUG`: detailed diagnostic (off in production)
- `INFO`: normal operation milestones
- `WARNING`: recoverable unexpected state
- `ERROR`: operation failed, action needed

**Structured logs (JSON) over free-form text:**
```python
import structlog
log = structlog.get_logger()
log.info("request_complete", method="POST", path="/api/data", status=200, latency_ms=42)
```

**Metrics to expose:** request rate, error rate, latency (p50/p95/p99), queue depth.

**Health check endpoint:** `/health` returning `{"status": "ok"}` — required for load balancers.

**Anti-pattern:** Logging only on error; you can't diagnose what you didn't observe.

---
> Source: [aiming-lab/MetaClaw](https://github.com/aiming-lab/MetaClaw) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-06-18 -->