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

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

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

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

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

Classifying failures and using controlled retries in Kafka prevents outages.

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

Kafka Streams uses local state for quick data access and changelogs for recovery.

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

Kafka uses retry topics and delayed retries to manage message failures efficiently.

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

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