serverless-debugging
Debug serverless and edge functions—limited logs, cold starts, timeouts, env/config mismatches. Use for Lambda, Cloud Functions, Workers, Vercel/Netlify functions.
Works with
--- name: serverless-debugging description: Debug serverless and edge functions—limited logs, cold starts, timeouts, env/config mismatches. Use for Lambda, Cloud Functions, Workers, Vercel/Netlify functions. license: MIT --- # Serverless Debugging Systematic debugging when traditional server logs and SSH are unavailable. Complements `test-failure-triage` with environment-specific constraints. ## When to use - Intermittent 5xx from functions - Timeout or memory limit errors - Works locally but fails when deployed ## When not to use - Long-running container services with full shell access - Client-only bugs (use browser DevTools skills) ## Workflow 1. **Reproduce** — identify trigger (HTTP event, queue, schedule) 2. **Logs** — cloud provider log group/stream; filter by request ID 3. **Config** — compare env vars/secrets: local vs deployed (names only, never log values) 4. **Limits** — timeout, memory, payload size, concurrency 5. **Cold start** — init duration, heavy imports, VPC ENI delay 6. **Dependencies** — outbound network, IAM permissions, region mismatch 7. **Minimal fix** — smallest change; redeploy; verify with structured log line ## Common failure modes | Symptom | Likely cause | |---------|----------------| | Task timed out | Slow downstream, missing async, too much work in handler | | Cannot find module | Bundle/packaging; wrong runtime | | Access denied | IAM role, resource policy | | Connection timeout | VPC/subnet/NAT; wrong security group | | Works once then fails | State in `/tmp`; connection pool reuse | ## Practices - Structured JSON logs with `requestId`, `stage`, `durationMs` - Fail fast on missing required env with clear error message (no secret values) - Use X-Ray or vendor tracing for cross-service calls - Keep handlers thin; push heavy work to async queues when needed
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