Efficient Resource Management with Kubernetes

In this session, we'll explore best practices and user settings to manage the application’s resources in a Kubernetes cluster. Since a load of cluster usage may increase rapidly due to traffic load and the number of applications deployed, it's better to set up resource quotas to keep the workloads running smoothly. 

We’ll start by setting up a Quarkus application, increasing its complexity, and tailoring appropriate resource quotas for CPU and RAM. Moreover, we will look into using integration tests to validate Kubernetes/OpenShift resources prior to their actual deployment. 

We will see how to monitor those workloads and finally, we'll cover performance and tuning aspects for production clusters.