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

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

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

Kafka lag recovery time is how fast consumers can process backlogged messages.

You can replay Kafka events safely by separating live and replay processes.

Classifying failures and using controlled retries in Kafka prevents outages.

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

Kafka uses replication and in-sync replicas to ensure data is always available.

Kafka Partition Reassignment moves replicas between brokers while keeping data safe.