Optimizing {Java} Application Performance on Kubernetes

The document discusses various techniques for optimizing Java application performance on Kubernetes, including: 1. Using optimized container images that are small in size and based on Alpine Linux. 2. Configuring the JVM to use container resources efficiently through settings like -XX:MaxRAMPercentage instead of hardcoded heap sizes. 3. Setting appropriate resource requests and limits for pods to ensure performance isolation and prevent throttling. 4. Leveraging tools like Kubernetes' Horizontal Pod Autoscaler and Pod Disruption Budget for scaling and high availability. 5. Tuning both software and hardware settings for optimal performance of Java workloads on Kubernetes.