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Classifying failures and using controlled retries in Kafka prevents outages.

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

Kafka uses retention to keep historical data and compaction to keep the latest state.

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

Backpressure helps manage message flow in Kafka during traffic spikes.

Monitoring Kafka consumer lag helps prevent production problems by ensuring consumers keep up with message traffic.