Scaling Java Workloads on Kubernetes: A Dive into CPU and Memory Metrics

In the dynamic world of container orchestration, Kubernetes stands out as a robust platform for managing diverse workloads. For Java applications, particularly, the decision of how to effectively scale in a Kubernetes environment is nuanced, involving a careful consideration of both CPU and memory metrics. This complexity is rooted in the unique characteristics of Java’s memory management.