Why Kafka Rebalance Causes Backlog, Duplicates, and Data Loss—and How to Fix It
Kafka consumer group rebalances can trigger message backlogs, duplicate processing, and data loss; this article explains common rebalance triggers, their impact on consumption, and practical configuration and coding strategies—such as tuning timeout parameters, using manual offset commits, and sticky partition assignment—to minimize disruptions.
