Deploying Java applications on Arm64 with Kubernetes

In the first part of this two-part series on tuning Java applications for Ampere®- powered cloud instances , we concentrated on tuning your Java environment for cloud applications, including picking the right Java version, tuning your default heap and garbage collector, and some options that enable your application to take advantage of underlying Arm64 features. In this article, we will look more closely at the operating system and Kubernetes configuration. In particular, we take a deep dive into container awareness in recent versions of Java, how to restrict the system resources made available to Java containers, and some common Linux configuration options to optimize your system for specific workloads. Much of the advice related to operating system tuning and workload placement applies to all workloads, not just JVM workloads, but since our focus is on the deployment of Java applications on Arm64 to Kubernetes, we will focus on that use-case here. Resource Allocation in Kubernetes In