queue-and-retry-safety

Queue retries cause duplicate processing unless you enforce idempotency checks using unique keys. Guarding side effects ensures repeated deliveries do not trigger duplicate state changes or duplicated work across SQS, EventBridge, or BullMQ workers.

Poison messages are handled by enforcing consistent dead-letter queue (DLQ) topology with alarms. This approach catches undeliverable messages early, retaining error context for inspection and preventing continuous blocking of queue-based workers during redrive scenarios.

Visibility timeouts prevent premature re-delivery by hiding in-flight messages until processing completes. For long-running jobs, heartbeat extensions and appropriate base timeouts minimize duplicate deliveries across distributed systems like SQS and BullMQ workers.

Yes, queue safety covers both publishing and consuming paths in async job processors. It propagates correlation IDs through logs and downstream calls, applies payload validation, and works across SQS, EventBridge, and BullMQ distributed systems.

Correlation IDs track message lifecycle across producers, consumers, and logs during retries. Propagating them ensures traceability of failed deliveries and error context retention, which is critical for debugging redrive scenarios in distributed queue-based systems.