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Learn from two years of real-world Apache Flink debugging experiences in this 34-minute conference talk that addresses three critical mistakes that commonly impact pipeline performance and stability. Discover how to properly migrate Kafka connectors without causing state bloat by updating UIDs during upgrades, optimize serialization to prevent throughput degradation by avoiding Kryo fallback and using POJO serialization, and achieve balanced load distribution across TaskManagers by adjusting max parallelism settings. Gain practical insights into Kafka connector chaos prevention, serialization optimization techniques, and load balancing strategies that will help you build more robust and performant Flink applications while avoiding common pitfalls that trip up many users.
