Kafka retention enables point-in-time recovery window for data loss

When downstream storage systems experience data loss, Kafka retention policies determine the maximum recovery window. With 3-day retention configured, data can be replayed from Kafka history to restore recent state after storage layer failures.

Configure Kafka retention based on recovery time objectives and detection windows. For critical data pipelines, ensure retention is sufficient to cover incident detection and restoration time. Document and test data backfill procedures from Kafka history. Consider Kafka retention as a disaster recovery strategy, not just a message buffer.