nestjs-observability
Configure structured logging with Pino, Prometheus metrics, and health checks for NestJS services. Use when adding JSON logging, request tracing with correlation IDs, Prometheus metric endpoints, or liveness/readiness health checks.
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Static analysis is a first line of defense, not a guarantee. Read the source
SKILL.md
Observability Standards
Priority: P1 (HIGH)
Structured Logging (Pino)
Use nestjs-pino for high-performance, async JSON logging. Node's console.log blocking and unstructured.
Tracing (Correlation)
- Request ID: Every log line must include
reqId.nestjs-pinohandles this viaAsyncLocalStorage. - Propagation: Pass
x-request-idto downstream microservices and database queries for end-to-end tracing.
Metrics
Expose /metrics for Prometheus scraping using @willsoto/nestjs-prometheus.
Health Checks
- Terminus: Implement "Liveness" (I'm alive) vs "Readiness" (I can take traffic).
- DB Check:
TypeOrmHealthIndicator/PrismaHealthIndicator. - Memory Check: Fail readiness if Heap > 300MB to prevent crash loops.
Performance Headers (Dev Only)
X-Response-Duration-Ms,X-DB-Execution-Ms,X-API-Overhead-Ms- Gate behind
ENABLE_PERFORMANCE_BENCHMARKfeature flag; never expose in production.
Anti-Patterns
- No console.log: Use nestjs-pino for async, structured, JSON-formatted logging.
- No missing reqId: Propagate
x-request-idheader to all downstream services and queries. - No perf data in production by default: Gate benchmarking behind
ENABLE_PERFORMANCE_BENCHMARKflag.
Files
3- SKILL.md
90cbbb557c1.8 KB - evals/evals.json
24855254de2.2 KB - references/example.md
45d6a4d72a988 B
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