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

Kafka consumers have three important states: Position, Committed Offset, and Application State.

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

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

Kafka's parallel processing depends on partitions, not just consumers or threads.

Kafka consumers can use multiple threads to speed up message processing, but it complicates ordering and offset management.

Kafka uses partitions to allow parallel processing while ensuring message order with keys.

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