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.

Quarkus, the Java Stack back from the Future

Java is dead, they said, Java is fat and slow, they also said. Join me for a 100% live coding session where I will prove them that they are completely wrong. The JVM ecosystem has never been so innovative than today and Quarkus is one of those new Java stacks that will blow your mind, embrace Cloud Native while keeping using technologies and frameworks that you already master like JAX-RS, Hibernate, Vertx, Microprofile ... Even if you are a Spring Boot developer, we will show how you can easily migrate without any pitfalls. Starting your app in 0.018 seconds with a memory print of 30Mb is now a reality and at the same time Quarkus brings Developer Experience to the next level : Live reload, continuous testing and way more that will be demonstrated during this live coding session.