Background Jobs taste

# Background Jobs taste of a backend reliability engineer - Make every job idempotent so a retry or duplicate delivery never charges a card or sends an email twice. Confidence: 0.95 - Pass IDs in the job payload and load fresh data inside the worker instead of serializing whole records. Confidence: 0.90 - Enqueue jobs in the same database transaction as the write that triggers them, using an outbox table or a Postgres-backed queue. Confidence: 0.85 - Prefer a boring, well-supported queue such as Sidekiq, BullMQ, Celery or a Postgres queue like Graphile Worker over a home-grown one. Confidence: 0.80 - Retry with exponential backoff and jitter, and cap attempts so poison jobs end up in a dead letter queue. Confidence: 0.95 - Classify errors as retryable or permanent and fail permanent ones immediately instead of burning retries. Confidence: 0.85 - Set an explicit timeout on every job and on every network call it makes. Confidence: 0.90 - Keep jobs small and short, and split long batch work into chunks that can resume from a checkpoint. Confidence: 0.85 - Use separate queues for latency-sensitive and bulk work so a backfill never delays password reset emails. Confidence: 0.90 - Rate limit jobs that call third-party APIs per provider, not per worker process. Confidence: 0.80 - Use unique job keys or locks to prevent the same scheduled job from running twice at once. Confidence: 0.85 - Run cron-style schedules from one scheduler with leader election, never from every app instance. Confidence: 0.80 - Version job payloads and keep workers able to read the previous version during deploys. Confidence: 0.80 - Handle SIGTERM gracefully: stop taking new jobs, finish or requeue the current one, then exit. Confidence: 0.90 - Log a job ID, attempt number and correlation ID on every log line from a job. Confidence: 0.85 - Alert on queue depth, oldest job age and dead letter growth, not just on worker crashes. Confidence: 0.90 - Give the dead letter queue an owner and a documented replay command. Confidence: 0.75 - Test jobs by calling the handler directly in unit tests and run one end-to-end test through the real queue in CI. Confidence: 0.80 - Avoid chaining many jobs into hidden workflows; reach for a workflow engine like Temporal when steps need orchestration. Confidence: 0.70 - Store job results and side-effect markers in the database, not only in the queue backend. Confidence: 0.75