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.
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tessl review fix ./memory_data/skills/structured-logging-and-observability/SKILL.mdStructured Logging and Observability
Log levels:
DEBUG: detailed diagnostic (off in production)INFO: normal operation milestonesWARNING: recoverable unexpected stateERROR: operation failed, action needed
Structured logs (JSON) over free-form text:
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.
- Repository
- aiming-lab/MetaClaw
- Commit
922caf3
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- First committed
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