Local Continuous Delivery Environment with Docker and Jenkins

In this article I’m going to show you how to setup continuous delivery environment for building Docker images of our Java applications on the local machine. Our environment will consists of Gitlab (optional, otherwise you can use hosted GitHub), Jenkins master, Jenkins JNLP slave with Docker, and private Docker registry. All those tools will be run locally using their Docker images. Thanks to that you will be able to easily test it on your laptop, and then configure the same environment on production deployed on multiple servers or VMs. Let’s take a look on the architecture of the proposed solution.


1. Running Jenkins Master

We use the latest Jenkins LTS image. Jenkins Web Dashboard is exposed on port 38080. Slave agents may connect master on default 50000 JNLP (Java Web Start) port.

$ docker run -d --name jenkins -p 38080:8080 -p 50000:50000 jenkins/jenkins:lts

After starting, you have to execute command docker logs jenkins in order to obtain an initial admin password. Find the following fragment in the logs, copy your generated password and paste in Jenkins start page available at


We have to install some Jenkins plugins to be able to checkout project from Git repository, build application from source code using Maven, and finally build and push Docker image to a private registry. Here’s a list of required plugins:

  • Git Plugin – this plugin allows to use Git as a build SCM
  • Maven Integration Plugin – this plugin provides advanced integration for Maven 2/3
  • Pipeline Plugin – this is a suite of plugins that allows you to create continuous delivery pipelines as a code, and run them in Jenkins
  • Docker Pipeline Plugin – this plugin allows you to build and use Docker containers from pipelines

2. Building Jenkins Slave

Pipelines are usually run on different machine than machine with master node. Moreover, we need to have Docker engine installed on that slave machine to be able to build Docker images. Although, there are some ready Docker images with Docker-in-Docker and Jenkins client agent, I have never find the image with JDK, Maven, Git and Docker installed. This is most commonly used tools when building images for your microservices, so it is definitely worth to have such an image with Jenkins image prepared.

Here’s the Dockerfile with Jenkins Docker-in-Docker slave with Git, Maven and OpenJDK installed. I used Docker-in-Docker as a base image (1). We can override some properties when running our container. You will probably have to override default Jenkins master address (2) and slave secret key (3). The rest of parameters is optional, but you can even decide to use external Docker daemon by overriding DOCKER_HOST environment variable. We also download and install Maven (4) and create user with special sudo rights for running Docker (5). Finally we run entrypoint.sh script, which starts Docker daemon and Jenkins agent (6).

FROM docker:18-dind # (1)
MAINTAINER Piotr Minkowski
ENV JENKINS_MASTER http://localhost:8080 # (2)
ENV JENKINS_HOME /home/jenkins
RUN apk --update add curl tar git bash openjdk8 sudo

ARG SHA=707b1f6e390a65bde4af4cdaf2a24d45fc19a6ded00fff02e91626e3e42ceaff
ARG BASE_URL=https://apache.osuosl.org/maven/maven-3/${MAVEN_VERSION}/binaries

RUN mkdir -p /usr/share/maven /usr/share/maven/ref \
  && curl -fsSL -o /tmp/apache-maven.tar.gz ${BASE_URL}/apache-maven-${MAVEN_VERSION}-bin.tar.gz \
  && echo "${SHA}  /tmp/apache-maven.tar.gz" | sha256sum -c - \
  && tar -xzf /tmp/apache-maven.tar.gz -C /usr/share/maven --strip-components=1 \
  && rm -f /tmp/apache-maven.tar.gz \
  && ln -s /usr/share/maven/bin/mvn /usr/bin/mvn

ENV MAVEN_HOME /usr/share/maven
# (5)
RUN adduser -D -h $JENKINS_HOME -s /bin/sh jenkins jenkins && chmod a+rwx $JENKINS_HOME
RUN echo "jenkins ALL=(ALL) NOPASSWD: /usr/local/bin/dockerd" > /etc/sudoers.d/00jenkins && chmod 440 /etc/sudoers.d/00jenkins
RUN echo "jenkins ALL=(ALL) NOPASSWD: /usr/local/bin/docker" > /etc/sudoers.d/01jenkins && chmod 440 /etc/sudoers.d/01jenkins
RUN curl --create-dirs -sSLo /usr/share/jenkins/slave.jar http://repo.jenkins-ci.org/public/org/jenkins-ci/main/remoting/$JENKINS_REMOTING_VERSION/remoting-$JENKINS_REMOTING_VERSION.jar && chmod 755 /usr/share/jenkins && chmod 644 /usr/share/jenkins/slave.jar

COPY entrypoint.sh /usr/local/bin/entrypoint
USER jenkins
ENTRYPOINT ["/usr/local/bin/entrypoint"] # (6)

Here’s the script entrypoint.sh.

set -e
echo "starting dockerd..."
sudo dockerd --host=unix:///var/run/docker.sock --host=$DOCKER_HOST --storage-driver=vfs &
echo "starting jnlp slave..."
exec java -jar /usr/share/jenkins/slave.jar \
	-jnlpUrl $JENKINS_URL/computer/$JENKINS_SLAVE_NAME/slave-agent.jnlp \

The source code with image definition is available on GitHub. You can clone the repository https://github.com/piomin/jenkins-slave-dind-jnlp.git, build image and then start container using the following commands.

$ docker build -t piomin/jenkins-slave-dind-jnlp .
$ docker run --privileged -d --name slave -e JENKINS_SLAVE_SECRET=5664fe146104b89a1d2c78920fd9c5eebac3bd7344432e0668e366e2d3432d3e -e JENKINS_SLAVE_NAME=dind-node-1 -e JENKINS_URL= piomin/jenkins-slave-dind-jnlp

Building it is just an optional step, because image is already available on my Docker Hub account.


3. Enabling Docker-in-Docker Slave

To add new slave node you need to navigate to section Manage Jenkins -> Manage Nodes -> New Node. Then define permanent node with name parameter filled. The most suitable name is default name declared inside Docker image definition – dind-node. You also have to set remote root directory, which should be equal to path defined inside container for JENKINS_HOME environment variable. In my case it is /home/jenkins. The slave node should be launched via Java Web Start (JNLP).


New node is visible on the list of nodes as disabled. You should click in order to obtain its secret key.


Finally, you may run your slave container using the following command containing secret copied from node’s panel in Jenkins Web Dashboard.

$ docker run --privileged -d --name slave -e JENKINS_SLAVE_SECRET=fd14247b44bb9e03e11b7541e34a177bdcfd7b10783fa451d2169c90eb46693d -e JENKINS_URL= piomin/jenkins-slave-dind-jnlp

If everything went according to plan you should see enabled node dind-node in the node’s list.


4. Setting up Docker Private Registry

After deploying Jenkins master and slave, there is the last required element in architecture that has to be launched – private Docker registry. Because we will access it remotely (from Docker-in-Docker container) we have to configure secure TLS/SSL connection. To achieve it we should first generate TLS certificate and key. We can use openssl tool for it. We begin from generating a private key.

$ openssl genrsa -des3 -out registry.key 1024

Then, we should generate a certificate request file (CSR) by executing the following command.

$ openssl req -new -key registry.key -out registry.csr

Finally, we can generate a self-signed SSL certificate that is valid for 1 year using openssl command as shown below.

$ openssl x509 -req -days 365 -in registry.csr -signkey registry.key -out registry.crt

Don’t forget to remove passphrase from your private key.

$ openssl rsa -in registry.key -out registry-nopass.key -passin pass:123456

You should copy generated .key and .crt files to your docker machine. After that you may run Docker registry using the following command.

docker run -d -p 5000:5000 --restart=always --name registry -v /home/docker:/certs -e REGISTRY_HTTP_TLS_CERTIFICATE=/certs/registry.crt -e REGISTRY_HTTP_TLS_KEY=/certs/registry-nopass.key registry:2

If a registry has been successfully started you should able to access it over HTTPS by calling address from your web browser.

5. Creating application Dockerfile

The sample applications source code is available on GitHub in repository sample-spring-microservices-new (https://github.com/piomin/sample-spring-microservices-new.git). There are some modules with microservices. Each of them has Dockerfile created in the root directory. Here’s typical Dockerfile for our microservice built on top of Spring Boot.

FROM openjdk:8-jre-alpine
ENV APP_FILE employee-service-1.0-SNAPSHOT.jar
ENTRYPOINT ["sh", "-c"]
CMD ["exec java -jar $APP_FILE"]

6. Building pipeline through Jenkinsfile

This step is the most important phase of our exercise. We will prepare pipeline definition, which combines together all the currently discussed tools and solutions. This pipeline definition is a part of every sample application source code. The change in Jenkinsfile is treated the same as a change in the source code responsible for implementing business logic.
Every pipeline is divided into stages. Every stage defines a subset of tasks performed through the entire pipeline. We can select the node, which is responsible for executing pipeline’s steps or leave it empty to allow random selection of the node. Because we have already prepared dedicated node with Docker, we force pipeline to being built by that node. In the first stage called Checkout we pull the source code from Git repository (1). Then we build an application binary using Maven command (2). Once the fat JAR file has been prepared we may proceed to building application’s Docker image (3). We use methods provided by Docker Pipeline Plugin. Finally, we push the Docker image with fat JAR file to secure private Docker registry (4). Such an image may be accessed by any machine that has Docker installed and has access to our Docker registry. Here’s the full code of Jenkinsfile prepared for module config-service.

node('dind-node') {
    stage('Checkout') { # (1)
      git url: 'https://github.com/piomin/sample-spring-microservices-new.git', credentialsId: 'piomin-github', branch: 'master'
    stage('Build') { # (2)
      dir('config-service') {
        sh 'mvn clean install'
        def pom = readMavenPom file:'pom.xml'
        print pom.version
        env.version = pom.version
        currentBuild.description = "Release: ${env.version}"
    stage('Image') {
      dir ('config-service') {
        docker.withRegistry('') {
          def app = docker.build "piomin/config-service:${env.version}" # (3)
          app.push() # (4)

7. Creating Pipeline in Jenkins Web Dashboard

After preparing application’s source code, Dockerfile and Jenkinsfile the only thing left is to create pipeline using Jenkins UI. We need to select New Item -> Pipeline and type the name of our first Jenkins pipeline. Then go to Configure panel and select Pipeline script from SCM in Pipeline section. Inside the following form we should fill an address of Git repository, user credentials and a location of Jenkinsfile.


8. Configure GitLab WebHook (Optionally)

If you run GitLab locally using its Docker image you will be able to configure webhook, which triggers run of your pipeline after pushing changes to Git repository. To run GitLab using Docker execute the following command.

$ docker run -d --name gitlab -p 10443:443 -p 10080:80 -p 10022:22

Before configuring webhook in GitLab Dashboard we need to enable this feature for Jenkins pipeline. To achieve it we should first install GitLab Plugin.


Then, you should come back to the pipeline’s configuration panel and enable GitLab build trigger. After that, webhook will be available for our sample pipeline called config-service-pipeline under URL as shown in the following picture.


Before proceeding to configuration of webhook in GitLab Dashboard you should retrieve your Jenkins user API token. To achieve it go to profile panel, select Configure and click button Show API Token.


To add a new WebHook for your Git repository, you need to go to the section Settings -> Integrations and then fill the URL field with webhook address copied from Jenkins pipeline. Then paste Jenkins user API token into field Secret Token. Leave the Push events checkbox selected.


9. Running pipeline

Now, we may finally run our pipeline. If you use GitLab Docker container as Git repository platform you just have to push changes in the source code. Otherwise you have to manually start build of pipeline. The first build will take a few minutes, because Maven has to download dependencies required for building an application. If everything will end with success you should see the following result on your pipeline dashboard.


You can check out the list of images stored in your private Docker registry by calling the following HTTP API endpoint in your web browser:


How to setup Continuous Delivery environment

I have already read some interesting articles and books about Continuous Delivery, because I had to setup it inside my organization. The last document about this subject I can recommend is DZone Guide to DevOps. If you interested in this area of software development it can be really enlightening reading for you. The main purpose of my article is to show rather practical site of Continuous Delivery – tools which can be used to build such environment. I’m going to show how to build professional Continuous Delivery environment using:

  • Jenkins – most popular open source automation server
  • GitLab – web-based Git repository manager
  • Artifactory – open source Maven repository manager
  • Ansible – simple open source automation engine
  • SonarQube – open source platform for continuous code quality

Here’s picture showing our continuous delivery environment.


The changes pushed to Git repository managed by GitLab server are automatically propagated to Jenkins using webhook. We enable push and merge request triggers. SSL verification will be disabled. In the URL field we have to put jenkins pipeline address with authentication credentials (user and password) and secret token. This API token which is visible in jenkins user profile under Configure tab.

webhookHere’s jenkins pipeline configuration in ‘Build triggers’ section. We have to enable option ‘Build when a change is pushed to GitLab‘. GitLab CI Service URL is the address we have already set in GitLab webhook configuration. There are push and merge request enabled from all branches. It can also be added additional restriction for branch filtering: by name or by regex. To support such kind of trigger in jenkins you need have Gitlab plugin installed.


There are two options of events which trigger jenkins build:

  • push – change in source code is pushed to git repository
  • merge request –  change in source code is pushed to one branch and then committer creates merge request to the build branch from GitLab management console

In case you would like to use first option you have to disable build branch protection to enable direct push to that branch. In case of using merge request branch protection need to be activated.


Merge request from GitLab console is very intuitive. Under section ‘Merge request’ we are selecting source and target branch and confirm action.


Ok, many words about GitLab and Jenkins integration… Now you know how to configure it. You only have to decide if you prefer push or merge request in your continuous delivery configuration. Merge request is used for code review in Gitlab – so it is useful additional step in your continuous pipeline. Let’s move on. We have to install some other plugins in jenkins to integrate it with Artifactory, SonarQube and Ansible. Here’s the full list of jenkins plugins I used for continuous delivery process inside my organization:

Here’s configuration on my jenkins pipeline for sample maven project.

node {

    withEnv(["PATH+MAVEN=${tool 'Maven3'}bin"]) {

        stage('Checkout') {
            def branch = env.gitlabBranch
            env.branch = branch
            git url: '', credentialsId: '5693747c-2f45-4557-ada2-a1da9bbfe0af', branch: branch

        stage('Test') {
            def pom = readMavenPom file: 'pom.xml'
            print "Build: " + pom.version
            env.POM_VERSION = pom.version
            sh 'mvn clean test -Dmaven.test.failure.ignore=true'
            junit '**/target/surefire-reports/TEST-*.xml'
            currentBuild.description = "v${pom.version} (${env.branch})"

        stage('QA') {
            withSonarQubeEnv('sonar') {
                sh 'mvn org.sonarsource.scanner.maven:sonar-maven-plugin:3.2:sonar'

        stage('Build') {
            def server = Artifactory.server "server1"
            def buildInfo = Artifactory.newBuildInfo()
            def rtMaven = Artifactory.newMavenBuild()
            rtMaven.tool = 'Maven3'
            rtMaven.deployer releaseRepo:'libs-release-local', snapshotRepo:'libs-snapshot-local', server: server
            rtMaven.resolver releaseRepo:'remote-repos', snapshotRepo:'remote-repos', server: server
            rtMaven.run pom: 'pom.xml', goals: 'clean install -Dmaven.test.skip=true', buildInfo: buildInfo
            publishBuildInfo server: server, buildInfo: buildInfo

        stage('Deploy') {
            dir('ansible') {
                ansiblePlaybook playbook: 'preprod.yml'
            mail from: 'ci@example.com', to: 'piotr.minkowski@play.pl', subject: "Nowa wersja start: '${env.POM_VERSION}'", body: "Wdrożono nowa wersję start '${env.POM_VERSION}' na środowisku preprodukcyjnym."


There are five stages in my pipeline:

  1. Checkout – source code checkout from git branch. Branch name is sent as parameter by GitLab webhook
  2. Test – running JUnit test and creating test report visible in jenkins and changing job description
  3. QA – running source code scanning using SonarQube scanner
  4. Build – build package resolving artifacts from Artifactory and publishing new application release to Artifactory
  5. Deploy – deploying application package and configuration on server using ansible

Following Ansible website it is a simple automation language that can perfectly describe an IT application infrastructure. It’s easy-to-learn, self-documenting, and doesn’t require a grad-level computer science degree to read. Ansible using SSH keys to authenticate on the remote host. So you have to put your SSH key to authorized_keys file in the remote host before running ansible commands on it. The main idea of that that is to create playbook with set of ansible commands. Playbooks are Ansible’s configuration, deployment, and orchestration language. They can describe a policy you want your remote systems to enforce, or a set of steps in a general IT process. Here is catalog structure with ansible configuration for application deploy.








Here’s my ansible playbook code. It defines remote host, user to connect and role name. This file is used inside jenkins pipeline on ansiblePlaybook step.

- hosts: pBPreprod
  remote_user: default

    - preprod

Here’s main.yml file where we define set of ansible commands to on remote server.

- block:
  - name: Copy configuration file
    template: src=config.yml.j2 dest=/opt/start/config.yml

  - name: Copy jar file
    copy: src=../target/start.jar dest=/opt/start/start.jar

  - name: Run jar file
    shell: java -jar /opt/start/start.jar

You can check out build results on jenkins console. There is also fine pipeline visualization with stage execution time. Each build history record has link to Artifactory build information and SonarQube scanner report.