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

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

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

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

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

Kafka uses partitions to allow multiple consumers to process messages in parallel.

Backpressure prevents system overload by managing message processing rates in Kafka.

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

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

Kafka maintains message order within partitions using keys for routing.