Create a Spring Boot Application using the Spring Boot Initializr Part 1 - Deploy spring boot microservice on local kubernetes cluster using KubesprayĪs we know our final goal is to “deploy spring boot micro-services on kubernetes” but before that, we need to build our spring boot application. Setting up kubernetes jenkins pipeline on AWS using Spring boot Application.Setting up CI/CD Jenkins pipeline for kubernetes using Spring Boot Application on Virtual machine.If you are interested in taking the same application to Jenkins CI/CD In the Part-1 of this blog we will first build and deploy Spring Boot microservice application into the Kubernetes cluster running into virtual machine using Vagrant and in the Part-2 of this blog we will use Google Cloud to deploy the same Spring Boot microservice application.
Deploy the spring boot microservice inside kubernetes cluster running on Google Cloud.Push spring boot docker image to google container registry(gcr.io).Create Kubernetes Cluster on Google Cloud.Clean up the Deployment and Service Kubernetes Part -2 : Steps to Deploy Spring Boot application in Kubernetes running on Google Cloud.Deploy Spring Boot microservices on kubernetes.Create Dockerfile for spring boot application.Import the spring boot project into IDE.Create a Spring Boot Application using the Spring Boot Initializr.Here are the steps which we will go through - Kubernetes Part -1 : Steps to Deploy Spring Boot application in Kubernetes running on Virtual Machine The main objective here is to build everything from scratch and what I mean by that - creating a Spring Boot Application RestMicroservice, Building a Docker image and Finally deploying docker image into the kubernetes cluster. It’s all about the gradle-intellij-plugin configuration.TL DR: This is going to be long post and the objective of this blog post is to deploy Spring Boot Microservice into the kubernetes cluster. Let’s start with the plugin B configuration, since this plugin is easier to configure. The other property, sandboxRuntimeLocation, provides the information where the sandbox runtime files will be placed. The first property, intellijLocation, points to the location where IntelliJ is installed (the distribution used by the sandbox). They can be set in two different ways – in the gradle.properties file, or with the –P flag defined when running a task from the command line. To make the configurations simpler, let’s define two properties. It is worth mentioning that plugin A has to be deployed before the sandbox starts working.Ĭonfiguring Gradle builds Gradle properties Plugin B is built and deployed as the sandbox is starting. This gives you a possibility to build the latest version of the plugin when running the sandbox. In order to automate this flow as much as possible, you can take advantage of the custom Gradle tasks. Plugin A has to be copied to the directory mentioned above, whereas plugin B has to be deployed in the sandbox runtime location. If you want to develop both plugins simultaneously, they have to be deployed in different locations. This causes the biggest challenge to overcome. You can meet this requirement by copying the plugin libraries into the /plugins/ directory. When working with interdependent plugins, the sandbox requires that the common plugin (plugin A) be bundled into the installation. Because of that, they have to be built and deployed separately. It means that it is impossible (or very time-consuming) to combine these configurations to build the plugins at one go. Moreover, they have unmergeable build configurations (Gradle based). an API for displaying a dialog.īoth plugins have separate source code. Plugin B consists of required implementations, and uses parts of the common layer, e.g. Plugin A provides an API and a common layer for plugin B. Let’s imagine that you have two plugins – A and B. Everything described here assumes that you have configured the workspace using the intellij-gradle-plugin. Its main topic is a workflow for developing two interdependent plugins.
This post is the second part of the series dedicated to developing plugins for IntelliJ IDEA.