Best Practices for Scaling Large Consumer Groups on Amazon MSK

This post details best practices for managing large consumer groups on Amazon Managed Streaming for Apache Kafka (MSK), addressing `RecordTooLargeException` errors during rebalances caused by oversized internal metadata records. It explains how consumer group metadata grows and provides a formula to estimate its size. The guidance includes increasing topic-level size limits, splitting groups, right-sizing partitions, optimizing naming, and capacity planning. These strategies are crucial for maintaining stable operations when scaling Kafka consumer groups.