John Ceccarelli,
Senior Director, Product Management, Azul
Tuning Kafka can feel like guesswork. Tweaking partitions, replica fetch sizes, and I/O threads only delivers small gains, while finding the “right” configuration at scale can seem impossible. The real key to performance lies in the Java Virtual Machine (JVM), which directly controls how Kafka executes workloads at scale. We’ll show how the JVM directly impacts Kafka’s efficiency and how the right JVM can deliver measurable improvements. In this session, we covered:
Flamegraphs and dive into assembly code to reveal where performance improvements come from
How running Kakfa on Azul Platform Prime can reduce latency by up 40%, while handling the same load
Actionable insights into how the right JVM can boost performance of the cluster to improve SLAs while reducing infrastructure spend