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Kafka consumer reprocessing involves safely replaying events to correct system states.

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

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

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

Older offsets can overwrite newer ones in Kafka if not handled properly.

Kafka consumers resume processing from the last committed offset after a crash.

Kafka consumers can pause and resume message processing to handle backpressure effectively.

Kafka Streams uses tumbling and hopping windows for time-based data aggregation.