declarative pipeline

In the 1st part of this tutorial we looked at how to dockerize installation of the Jenkins plugins, java and maven tool setup in Jenkins 2 and created declarative build pipeline for maven project with test and SonarQube stages. In this part we will focus on deployment part.

Couldn’t we just simply add another stage for deployment in part 1, you may ask? Well, in fact deployment requires quite a few steps to be taken, including maven pom and settings file configuration, artifact repository availability, repository credentials encryption, etc. Let’s add them to the list and then implement step by step like we did in previous session.

Running JFrog Artifactory on Docker
Configuring maven pom file
Configuring maven settings file
Using Config File Provider Plugin for persistence of maven settings
Dockerizing the installation and configuration process

If you are already familiar with 1st part of this tutorial, created your project from the scratch and using your own repository, then you can just follow the steps as we go further, otherwise, if you are starting now, you can just clone/fork the work we did in the last example and then add changes as they follow in the tutorial:

 
git clone https://github.com/kenych/jenkins_docker_pipeline_tutorial1 && cd jenkins_docker_pipeline_tutorial1 && ./runall.sh

Please note all steps have been tested on MacOS Sierra and Docker version 17.05.0-ce and you should change them accordingly if you are using MS-DOS, FreeBSD etc 😉

The script above is going to take a while as it is downloading java 7, java 8, maven, sonarqube and jenkins docker images, so please be patient 🙂 Once done you should have Jenkins and Sonar up and running as we created in part 1:

If you got errors about some port being busy just use the free ports from your host, I explain this here. Otherwise you can use dynamic ports which is shown a bit later.

Chapter 1. Running JFrog Artifactory on Docker

So let’s look at the first step. Obviously if we want to test the deployment in our example, we need some place to deploy our artifacts to. We are going to use a limited open source version of JFrog Artifactory called “artifactory oss”. Let’s run it on Docker to see how easy it is to have your own artifact repo. The port 8081 on machine was busy, so I had to run it on 8082, you should do according to free ports available on your machine:

 
docker run --rm -p 8082:8081 --name artifactory docker.bintray.io/jfrog/artifactory-oss:5.4.4

Alternatively you can use dynamic ports.

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In this part I am going to demonstrate:

Running Jenkins on Docker
Automation of Jenkins plugin installation on Docker
Configuring java and maven tools on Jenkins, first manually and then via the groovy scripts
Automating the above step with Docker
Running Sonarqube on Docker
Setting up java maven pipeline with unit test, test coverage and sonarqube analysis steps.

Next time, in part 2(WIP), I am going to demonstrate everything you need for deployment:

How to run Artifactory repository on Docker
How to configure POM file for deployment
How to configure maven settings for deployment
Using maven deployment plugin
Setting up, configuring and Dockerizing couple Jenkins plugins for keeping deployment credentials in safe place, apply maven setting file in the job

This is a practical example, so be ready to get your hands dirty. You can either follow this step by step guide, which would be really good for learning purposes and we will create everything from the scratch, or if you are lazy, just run the command bellow after reading for the demo:

git clone https://github.com/kenych/jenkins_docker_pipeline_tutorial1 && cd jenkins_docker_pipeline_tutorial1 && ./runall.sh

but by the end you should be able to run the pipeline on fully automated Jenkins Docker container.

As you may already know, with Jenkins 2 you can actually have your build pipeline right within your java project. So you can actually use your own maven java project in order to follow the steps in this article as long as it is hosted on a git repository.

Everything obviously will be running on Docker as it is the easiest way of deploying and running them.

So, let’s see how to run Jenkins on Docker

docker pull jenkins:2.60.1

While it is downloading in the background let’s see what we are going to do with it once it is done.

Default Jenkins comes quite naked and shows suggested plugins installation wizard. We will choose it, then we will capture all installed plugins and then automate this manual step in Docker image and will follow this simple rule throughout the all steps:

manually setup
programmatically
automate with Docker

The image we are going to download is 600M so you can prepare yourself coffee and have couple sips before it is finished and I will take you through the steps we need to setup up build pipeline for java project. Let’s add them to the list and then look closer later:

Pull the code from scm
Configuration of java and maven
Running unit tests
Running static analysis
Sending report to Sonarqube for further processing
And finally deployment of the jar file to repository(will be covered in the next part soon)
Optionally we can also release it after each commit.

Once you have your image downloaded let’s run the container:

docker run -p 8080:8080 --rm --name myjenkins jenkins:2.60.1

Please note I used a specific tag, I am not using latest tag, which is the default if you don’t specify one, as I don’t want anything to break in the future.

Also note we name the container so it is easier to refer to it later as otherwise docker will name it randomly and we added –-rm flag to delete container once we stop it, this will ensure we are running Jenkins in an immutable fashion and everything configured on the fly, and if we want to preserve any data we will do it explicitly.

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Tag: declarative pipeline

Dockerizing Jenkins 2, part 2: Deployment with maven and JFrog Artifactory

Chapter 1. Running JFrog Artifactory on Docker

Dockerizing Jenkins 2, Part 1: Declarative Build Pipeline With SonarQube Analysis

In this part I am going to demonstrate:

Next time, in part 2(WIP), I am going to demonstrate everything you need for deployment: