Optimizing Resource Usage in Kubernetes

Explore advanced techniques for optimizing resource usage in Kubernetes environments, with a focus on Java applications. Learn about autoscaling, workload hibernation, automated resource requests, and Kubernetes Jobs implementation to decrease resource consumption and lower costs when running multiple clusters at scale. Discover strategies for achieving higher density clusters, reducing the number of required clusters, and minimizing operating expenses. Gain insights into managing container memory, configuring garbage collectors, setting Java CPU limits and requests, and implementing vertical and horizontal scaling. Benefit from Adobe's extensive experience in leveraging standard Kubernetes capabilities and custom solutions to improve resource management across various levels of the technology stack.

Introduction
About Carlos
Resource Optimization
Container Memory
Garbage Collector
Java CPU Limits
CPU Requests
Java Requests
Scaling
Vertical Scaler
Horizontal Scaler
Summary
Questions