Architects and platform teams running Java on AWS spend a lot of time reviewing instance types, autoscaling behaviour, resilience patterns, observability, IAM boundaries, deployment pipelines, and cost controls. Yet one important layer is often treated as fixed background technology rather than part of the architecture itself: the JVM.
This webinar explores why some Java performance and stability issues on AWS are misdiagnosed as infrastructure problems, when runtime behaviour may be a major contributing factor. We will look at how JVM choices can influence throughput, tail latency, warmup, CPU efficiency, memory behaviour, and production consistency, and why those factors deserve more attention in architecture reviews for Java workloads.
You’ll learn:
Join us to rethink how Java workloads should be assessed on AWS, and to learn why some of the most important answers may be found inside the runtime, not only in the infrastructure around it.
