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Kafka uses retention to keep historical data and compaction to keep the latest state.

CDC with Kafka allows real-time updates from databases to multiple services.

Kafka commit strategies determine how offsets are managed during message processing.

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

Kafka uses different strategies to assign partitions to consumers in a group efficiently.

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

Kafka uses state stores to remember previous events in stateful stream processing.

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

Classifying failures and using controlled retries in Kafka prevents outages.