Set up structured logging in my app. Right now logs are console.log calls scattered around, which is fine locally and useless in production. Do the following: 1. Pick a logger with structured (JSON) output (pino, winston, bunyan, or the equivalent for my language). Log lines should be one JSON object per line: timestamp, level, message, and structured fields for context (user id, request id, route, duration, error stack). 2. Set levels correctly: debug for local noise, info for normal operational events (request start/finish, job completed), warn for degraded-but-recovered situations, error for real failures with a full stack trace. Don't log passwords, tokens, or full request bodies at any level. 3. Attach a request id (generated per incoming request, propagated through async work) to every log line for that request. That's what makes 'find every log related to this user's failed checkout' a two-second search instead of an hour of grep. 4. Log the interesting places explicitly: request in/out, database errors, external API calls (with timing and status), job start/finish/failure, and any caught-and-swallowed exception (so it's not silent). 5. Ship logs somewhere I can query them. Most platforms have a log ingestion story; if I'm on my own metal, at least write to a rotated file and tell me how to search it. Ephemeral filesystems on serverless/PaaS lose logs on restart, so streaming to a service matters. Don't log PII you don't need. Don't log secrets ever. The deliverable is the logger configured, request-id middleware in place, structured logs replacing console.log at the key sites, and a documented query for 'show me the last five errors' on my log destination.