How to Boost JVM Scalability and Performance With Kotlin and Azul Runtime
Livestream
Agenda
Modern JVM backends combine language features and runtime optimizations to unlock new levels of performance. Kotlin’s expressive features, like coroutines and inline classes, simplify scalable code, while advanced JVM technologies, such as Azul’s optimized JIT compiler and garbage collector, help maximize runtime efficiency.
Through collaboration between JetBrains and Azul, we've already achieved up to 30.5% better throughput and 23.9% lower latency – with more improvements ahead.
In this livestream for developers and DevOps engineers, we’ll explore:
- How Azul Zing enhances JVM performance (JIT, GC, memory)
- How Zing provides better runtime metrics for server-side and web Kotlin applications
- Kotlin language capabilities, including coroutines and inline classes/functions
- The TechEmpower Web Framework Benchmark and other performance results
- Future areas of collaboration between the Kotlin team at JetBrains and Azul
Join us to learn how Kotlin and Azul deliver enterprise-grade performance!
Speaking to you
Jiří Holuša
Jiří was originally a quality engineer passionate about performance. He worked on low-latency data grids at Red Hat (Infinispan) and later Hazelcast, where he switched to the dark side of product management. The desire to dig deep into technical trenches drove him to Azul Systems, where he currently serves as the Director of Product Management of Azul Platform Prime, a performance-focused Java Virtual Machine (JVM). That enables him to spend his day looking at JIT compiler activity, reason about assembly, and do exactly what he loves.
Simon Vergauwen
Hailing from Antwerp, Belgium, Simon is a Developer Advocate at JetBrains and OSS (arrow-kt) Maintainer. He’s interested in Kotlin, functional programming, JVM, and concurrency. In his spare time, he is a hobby chef.
