Explore real-world lessons in Java performance on Kubernetes: from JVM tuning pitfalls to full-stack optimization with Akamas Insights.
Running Java applications on Kubernetes often feels like familiar territory – until performance problems strike in production.
In this joint session by Akamas and Matrix, Gil Givati, Observability Center of Excellence Manager at Matrix, joins Akamas CTO Stefano Doni to unpack the unexpected realities of running JVM workloads at scale. Drawing from hands-on experience in complex enterprise environments, they share what everyone still gets wrong about tuning Java on Kubernetes and practical strategies to optimize application performance and efficiency.
From subtle GC side effects to the cascading impact of container resource limits, this session goes beyond surface-level tips to uncover the deeper mechanics of performance – and introduces Akamas Insights, the first full-stack optimization solution purpose-built for Kubernetes and modern runtimes like the JVM.
What you’ll learn:
- What most developers still get wrong about Java on Kubernetes
- How container and JVM configurations interact in surprising ways
- Why traditional tuning often fails – and what to do instead
- How to uncover risks and savings through intelligent, cross-stack analysis
Whether you’re managing a handful of microservices or scaling critical Java systems, this session will help you navigate the complexity – and uncover opportunities hiding in plain sight.
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