System Design: Background Job-Processing Workers!
Basic application setups fail when executing long-running tasks like email delivery sequentially inside the user request loop. Slow downstream services cause high latency, while API timeouts trigger immediate request failures for the end user.
Never risk data drift by pushing straight to a message queue after a database save, because a crash between those two actions drops the task completely. Instead, implement the Transactional Outbox pattern to write both the application state and the background job into the same database transaction. Protect the downstream pipeline by setting visibility timeouts so crashed workers do not lose jobs, and enforce worker idempotency via unique job IDs to prevent accidental duplicate execution.
This design offloads heavy computation asynchronously, isolates poison-pill failures into a Dead Letter Queue (DLQ), and utilizes transactional safety to guarantee resilient background processing.
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