Stories from the Front: Lessons Learned from Supporting Apache Kafka ® | Confluent

What this post added

This post details three common operational pitfalls encountered in production Apache Kafka deployments: under-replicated partitions, issues with automated liveness checks leading to cluster downtime, and performance degradation when adding new brokers. It provides high-level recommendations for each scenario, emphasizing root cause analysis for under-replicated partitions, the importance of human intervention for automated restarts in stateful systems, and understanding the impact of partition reassignments before execution. It also highlights the benefits of Confluent's auto data balancer for safer data movement.