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Kafka can help ensure messages are processed once, but requires careful design.

Kafka uses retries and Dead Letter Queues to manage message processing failures.

Message delivery semantics define how messages are sent in distributed systems and handle failures.

Kafka uses Dead Letter Topics to handle messages that repeatedly fail processing.

Poison messages in Kafka can cause infinite retries, risking system stability.

Kafka rebalance can lead to lost or duplicated work if not handled carefully.

Idempotency ensures that repeated operations in APIs do not cause duplicate effects.

Kafka allows safe message reprocessing by resetting consumer positions without altering data.

Distributed locks ensure only one server performs a task, avoiding duplication.

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Kafka's `seek()` lets you replay only specific messages, saving time.