Jvm startup time8/3/2023 ![]() ![]() This is a one-node cluster, and we don’t mind because this is enough for the demo. I strongly recommend to use k3d in development environment, because it helps you build a Kubernetes ecosystem very easily.Ī very simple k3d cluster can be created using the following command: k3d cluster create quarkus-poc -switch-context We kill the pod directly, to keep it simple. For demonstration purposes, I didn’t create liveness and readiness probes – which is of course a very bad practice, but is useless in our demonstration. This simulates the case when your application crash every 5 or 15 seconds. Set up 3 pods which check the availability of the service with a max timeout of 5 every 0.2 second.Two Postgres databases (one for Quarkus, and the other for Spring Boot).One for the application in its Quarkus with GraalVM form.One for the application in its Quarkus with old-fashioned JVM form.One for the application in its Spring Boot form.Set up a Kubernetes cluster with 5 deployments:.I recommend you to read this great post about k3d especially if you are not familiar with it. We use the excellent k3d from Rancher, which gives you a Kubernetes cluster in docker. The goal of this part is to check if Quarkus really fits “perfectly” in Kubernetes, and have a look on how startup time can impact your service availability. Summary of what has been tested: Replicas #Ĭomparisons in a Kubernetes environment, using k3d Simple build without -Dnative (or -Pnative, the choice is yours).size of generated artifacts and docker image.In order to compare various approaches, we have a look at 3 key metrics: The hardware used for comparisons is a MacBook Pro laptop with Docker Desktop installed on it to run the containers.ĭedicated resources for Docker Virtual Machine are: In both subdirectories employee-sb and employee-quarkus you can find a build-mvn-docker script that builds images for you, and then tag the docker image with the name that will be used by the comparison tools. ![]() finally, copy the binary into our scratch image.build the native binary (some tricks are necessary when using a scratch or an alpine image, detailed in the Dockerfile comments).collect jar dependencies in the first step, to avoid losing time in the following steps.The multistage Docker build is composed of three stages (see ): To avoid complex setup with GraalVM, you can use a multistage Docker build, which helps in building the GraalVM binary without installing it locally. To get a minimalistic exposed surface in terms of security, we will use scratch as the starting point of our Docker image, to get only our application binary in it. GraalVM (for generation of native code).There are two ways for compiling a Java application using the Quarkus framework: We use the Hibernate ORM for both applications, and additionally the Panache framework in case of Quarkus. The sample application is a simple CRUD of a root entity “Persons”, connected to a Postgres database. comparisons – tools for comparing the application on both platforms.The code used is available on GitHub, you can find three subdirectories: How can frameworks help to reach high levels of productivity and efficiency ?įor sure Java frameworks can help in the area, either Spring Boot or Quarkus, that we compare in this article using the same sample application. To get the most out of your application in the Cloud and especially in containers and Kubernetes you need to design your application for this new world. This post demonstrates the advantages of compiling and running a Java application using Quarkus.Īs an introduction about what is Quarkus you can read the previous blog post written by Yann Albou. ![]()
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