What problem does it solve?
Backend systems often suffer from unpredictable failures, security gaps, and poor observability. This Skill provides a comprehensive set of practices to ensure reliable, secure, and observable services across modern architectures.
Core Features & Use Cases
- Error Handling: never expose stack traces to clients—log internally, return generic message; structured error responses: code, message, request ID; fail fast on bad input; unexpected errors: 500 + alert
- Input Validation: validate everything from outside—query params, headers, body, path params; whitelist valid input; validate early; size limits on all inputs
- Timeouts Everywhere: set timeouts for database queries, external calls, overall request timeout, and background jobs
- Retry Patterns: exponential backoff with jitter; idempotency keys; circuit breaker
- Database Practices: connection pooling; transactions scoped minimal; read replicas; prepared statements
- Caching Strategy: TTL; per-layer caching; cache stampede prevention; monitor hit rate
- Rate Limiting: per-user/IP limits; different limits; Retry-After; early in request pipeline
- Health Checks: liveness, readiness, startup probe; fast and cheap checks
- Graceful Shutdown: stop accepting new requests; drain; close connections; handle signals
- Logging: structured logs; request ID; appropriate log levels; avoid logging sensitive data
- API Design: versioning; pagination; consistent response format; meaningful status codes
- Security Hygiene: secrets handling; dependencies updates; least privilege; separate authn/authz
- Observability: metrics, tracing, alerting, dashboards
Quick Start
Implement these backend best practices in your API to improve reliability, security, and observable performance.