Apache Kafka Troubleshooting Doesn’t Need to Be Scary: Essential Resources for Developers

Apache Kafka troubleshooting resources are presented through a Halloween-themed overview of common performance and reliability problems, including reduced throughput, high request latency, broker overload, excessive connections, consumer rebalance delays, serialization errors, stream-table join failures, and inconsistent producer partitioning. The recommended materials include a four-part diagnostic blog series, guidance for resolving “Unknown magic byte” Schema Registry errors, tutorials on debugging co-partitioning and stream-table joins with kcat, a metrics-focused performance-anomaly talk, an eBPF-based CPU profiling demonstration for locating pipeline bottlenecks, and advice on standardizing hashing across Java and non-Java producers. The post also directs readers to recorded Current 2023 Kafka Summit sessions for additional expert perspectives on Kafka and data streaming.

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