Kafka Streams performance monitoring and tuning is important for many reasons, including identifying bottlenecks, achieving greater throughput, and capacity planning. In this talk we’ll share the techniques we used to achieve greater performance and save on compute, storage, and cost. We’ll cover: Identifying design bottlenecks in by reviewing logs, metrics, and serdes. State store access patterns, design, and optimization Using profiling tools such as JMX, YourKit etc. Performance tuning of Kafka and Kafka Streams configuration and properties. JVM optimization for correct heap size and garbage collection strategies. Functional programming and imperative programming trade offs.