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

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

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

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

Kafka consumer lag shows how far behind consumers are from new messages.