Job Queue / Worker Pool Stack (Node.js, BullMQ, Redis, PostgreSQL, Docker) overview

A background job processing system using BullMQ for reliable, Redis-backed task queues with automatic retries, exponential backoff, rate limiting, and priority scheduling. Workers run in separate Node.js processes or containers, enabling independent scaling of producers and consumers. PostgreSQL stores job results, audit logs, and configuration while Redis manages the queue state, delayed jobs, and repeatable schedules. Pino provides structured logging for tracing job execution across distributed workers. Docker Compose orchestrates the local development stack with Redis, PostgreSQL, and multiple worker replicas. This stack is ideal for email sending, report generation, data imports, and any workload that must be decoupled from the HTTP request cycle. The tradeoff is Redis as a single point of failure for queue state.