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Classifying failures and using controlled retries in Kafka prevents outages.

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

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

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

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

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

Graceful shutdown in Kafka ensures no data loss during consumer termination.

Kafka can help ensure messages are processed once, but requires careful design.

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

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

Kafka's commitSync waits for confirmation, while commitAsync continues immediately.

Backpressure helps manage message flow in Kafka during traffic spikes.

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

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

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