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Kafka uses brokers for data handling and KRaft controllers for metadata management.

Kafka Schema Evolution allows safe changes to message structures without breaking existing consumers.

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

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

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

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