Skip to main content
Redhat Developers  Logo
  • Products

    Platforms

    • Red Hat Enterprise Linux
      Red Hat Enterprise Linux Icon
    • Red Hat AI
      Red Hat AI
    • Red Hat OpenShift
      Openshift icon
    • Red Hat Ansible Automation Platform
      Ansible icon
    • View All Red Hat Products

    Featured

    • Red Hat build of OpenJDK
    • Red Hat Developer Hub
    • Red Hat JBoss Enterprise Application Platform
    • Red Hat OpenShift Dev Spaces
    • Red Hat OpenShift Local
    • Red Hat Developer Sandbox

      Try Red Hat products and technologies without setup or configuration fees for 30 days with this shared Openshift and Kubernetes cluster.
    • Try at no cost
  • Technologies

    Featured

    • AI/ML
      AI/ML Icon
    • Linux
      Linux Icon
    • Kubernetes
      Cloud icon
    • Automation
      Automation Icon showing arrows moving in a circle around a gear
    • View All Technologies
    • Programming Languages & Frameworks

      • Java
      • Python
      • JavaScript
    • System Design & Architecture

      • Red Hat architecture and design patterns
      • Microservices
      • Event-Driven Architecture
      • Databases
    • Developer Productivity

      • Developer productivity
      • Developer Tools
      • GitOps
    • Automated Data Processing

      • AI/ML
      • Data Science
      • Apache Kafka on Kubernetes
    • Platform Engineering

      • DevOps
      • DevSecOps
      • Ansible automation for applications and services
    • Secure Development & Architectures

      • Security
      • Secure coding
  • Learn

    Featured

    • Kubernetes & Cloud Native
      Openshift icon
    • Linux
      Rhel icon
    • Automation
      Ansible cloud icon
    • AI/ML
      AI/ML Icon
    • View All Learning Resources

    E-Books

    • GitOps Cookbook
    • Podman in Action
    • Kubernetes Operators
    • The Path to GitOps
    • View All E-books

    Cheat Sheets

    • Linux Commands
    • Bash Commands
    • Git
    • systemd Commands
    • View All Cheat Sheets

    Documentation

    • Product Documentation
    • API Catalog
    • Legacy Documentation
  • Developer Sandbox

    Developer Sandbox

    • Access Red Hat’s products and technologies without setup or configuration, and start developing quicker than ever before with our new, no-cost sandbox environments.
    • Explore Developer Sandbox

    Featured Developer Sandbox activities

    • Get started with your Developer Sandbox
    • OpenShift virtualization and application modernization using the Developer Sandbox
    • Explore all Developer Sandbox activities

    Ready to start developing apps?

    • Try at no cost
  • Blog
  • Events
  • Videos

Continuous Delivery to JBoss EAP and OpenShift with the CloudBees Jenkins Platform

July 25, 2016
Deon Ballard
Related topics:
CI/CDDevOpsKubernetes
Related products:
Red Hat JBoss Enterprise Application PlatformRed Hat OpenShift Container Platform

Share:

    If you are using JBoss Enterprise Application Platform (EAP) for J2EE development, the CloudBees Jenkins Platform provides an enterprise-class toolchain for an automated CI/CD from development to production.

    The CloudBees Jenkins Platform now supports integrations with both Red Hat JBoss Enterprise Application Platform (EAP) and Red Hat OpenShift across the software delivery pipeline. This enables developers to build, test and deploy applications, with Jenkins-based continuous delivery pipelines in JBoss via JBoss EAP 7 or JBoss EAP 7 on OpenShift.

    The following examples are based in Jenkins Pipeline plugins, which create complex pipelines, if needed, , to model their software delivery process. If you are not familiar with with the CloudBees Jenkins Pipeline plugin you may find  these two blog posts  helpful for ramping up: Using the Pipeline Plugin to Accelerate Continuous Delivery -- Part 1 and Part 2.

    Let’s get started. In a typical CI/CD pipeline, your process would be similar to this one:

    • Developers commit code to the SCM, which will notify Jenkins via web-hooks.
    • Jenkins compiles the code and execute a series of test on it: static code analysis, code metrics, unit testing, etc.
    • If everything goes well, Jenkins would deploy the code to a development environment.  This step typically /may  require a manual approval depending on the use of that environment. A typical use case is having the application deployed just to be able to run further validations with tools like Selenium.
    • The steps that follow would promote the application between the various environments and to validate that the deployment was correct.

    Let's see how the build, deployment and promotion between the various environment can be done for both types of JBoss installs, to JBoss EAP7 and to JBoss EAP 7 on OpenShift,  and the differences between them.

    Build and Deployment

    JBoss EAP 7

    In this case, we will take the produced artifact and directly deploy it to the server. There are two possible approaches to get the code deployed: JBoss CLI and Maven Wildfly Plugin.

    Both of them produce very similar results, but our recommended approach is to use the JBoss CLI, as it will give you maximum flexibility and allow the use of a common tool between development and operations teams:

    checkpoint 'Deploy to QA'
    //we use a docker image that comes with the JBoss CLI preinstalled
    docker.image('registry.access.redhat.com/jboss-eap-7/eap70-openshift').inside {
    
     // Deploy to JBoss
     def destinationWarFile = "movieplex-${env.BUILD_NUMBER}.war"
     def versionLabel = "movieplex#${env.BUILD_NUMBER}"
     def description = "${env.BUILD_URL}"
     withCredentials([[$class: 'UsernamePasswordMultiBinding',
                       credentialsId: 'jboss-ec2',
                       passwordVariable: 'password',
                       usernameVariable: 'username']]) {
    
      sh "/opt/eap/bin/jboss-cli.sh --controller=jboss.mydomain.org:9990 --connect --user=${env.username} --password=${env.password} --command='deploy target/movieplex.war --force'"
    
    }
    sleep 10L // wait for JBOSS to update the status
    
    //Check for correct deployment
    timeout(time: 5, unit: 'MINUTES') {
     waitUntil {
    withCredentials([[$class: 'UsernamePasswordMultiBinding',
                       credentialsId: 'jboss-ec2',
                       passwordVariable: 'password',
                       usernameVariable: 'username']]) {
       sh "/opt/eap/bin/jboss-cli.sh --controller=jboss.mydomain.org:9990 --connect --user=a${env.username} --password=${env.password} --command='ls /deployment=movieplex.war'> .jboss-status"
    }
    
       // parse output
       def jbossStatus = readFile(".jboss-status")
       println "$jbossStatus"
       return jbossStatus.toLowerCase().contains("status=ok")
       }
     }
    }
    • With the CLI we call deploy command with the produced war file as a parameter. Jenkins Credential store is being used to ensure that the credentials are kept in a secure way. The CLI will upload the file and deploy it to the server.
    • After the deploy is finished we check for correctness.

    This process can be made as complex as needed leveraging any of the needed commands from the CLI, introducing changes to the database, deploying additional artifacts, launching a Selenium script to check the application is running, etc.

    JBoss EAP 7 on OpenShift

    In the case of OpenShift, the approach is slightly different. Instead of producing the artifact in Jenkins anduploading it to JBoss, we will start a build in OpenShift.

    This will trigger Source-to-Image (S2I), which will pull the source code, compile it and create a docker image with JBoss and the newly produced application. This image will then be pushed to the OpenShift’s internal Docker Registry.

    Calling OpenShift from Jenkins is easily done by using CloudBees OpenShift CLI, which provides an automatic installer for the CLI, integration with Jenkins credentials for login and a wrapper to execute CLI commands from a pipeline.

    wrap([$class: 'OpenShiftBuildWrapper', 
                url: 'https://mydomain.openshift.com',
                credentialsId: 'openshift-credentials'
                ]) {
    
                // oc & source2image
                sh """
                oc project movieplex
                oc start-build j2ee-application-build --wait=true
                """

    In the previous example, we login into OpenShift, change to the desired project and launch the build.

    After the build is finished, we have two possible approaches to deploy the application:

    • Enable image change triggers. In this case an automatic deployment will be done after a successful build. In this case we only execute a command to check for correct deployment.
    //with build triggers enabled get the current deploy number
    sh "oc deploy frontend > .openshift-deploy-number"
    • Disable image change triggers and control the deployment from Jenkins.  This would allow doing additional tasks before actually deploying. This is similar to sending an email for notification, manual validation, waiting for the best moment, etc.

    //with build triggers disabled request a deploy with the latest build
    sh "oc deploy frontend --latest > .openshift-deploy-number"

    After this, all that is left to do is check the status of the deployment:

           
    def deployMessage = readFile(".openshift-deploy-number")
    def deployNumber = deployMessage.substring(deployMessage.indexOf('#')).tokenize()[0]
    echo "$deployMessage"
                // Wait for OpenShift deployment
                timeout(time: 5, unit: 'MINUTES') {
                    waitUntil {
                        sh "oc deploy frontend > .openshift-build-status"
                        // parse `describe-environment-health` output
                        def openshiftDeployStatus = readFile(".openshift-build-status")
                        echo "Checking: '$deployNumber deployed'"
                        def isDeployed = openshiftDeployStatus.indexOf("$deployNumber deployed")
                        echo "$openshiftDeployStatus"
                        echo "$isDeployed"
                        return isDeployed>0
              }
        }
    }

    There could be some cases in which the organization may prefer not to use S2I, for these cases another possibility is to produce a docker image from Jenkins, deploy it to OpenShift and then promote that same image between environments.

    Promotion between environments

    Once the application is built and deployed to Dev it will have to be promoted to the next environments after each validation stage.

    In the case of JBoss EAP 7 we will execute the exact same command for each environment, deploying the same war on each one of them.

    For JBoss EAP 7 on OpenShift the recommended approach is to promote the same image from one environment to the other, by tagging the original image. Each environment will point its deployment config to a tag, e.g test, QA and production with a trigger to deploy when a change is detected. In that case by just issuing this command, the image will be promoted from dev to test, QA and production respectively:

    //promote to test
    oc tag jboss-myapp-image:latest jboss-myapp-image:test
    
    //promote to qa
    oc tag jboss-myapp-image:test jboss-myapp-image:qa
    
    //promote to production
    oc tag jboss-myapp-image:qa jboss-myapp-image:prod

    We hope these examples of Continuous Delivery with the CloudBees Jenkins Platform to Red Hat JBoss EAP 7 provided you with a base understanding to get you started.

    For more information on our integrations with JBoss and other Red Hat Platforms, visit https://www.cloudbees.com/partners/platform/red-hat.

    Last updated: January 24, 2022

    Recent Posts

    • Skopeo: The unsung hero of Linux container-tools

    • Automate certificate management in OpenShift

    • Customize RHEL CoreOS at scale: On-cluster image mode in OpenShift

    • How to set up KServe autoscaling for vLLM with KEDA

    • How I used Cursor AI to migrate a Bash test suite to Python

    Red Hat Developers logo LinkedIn YouTube Twitter Facebook

    Platforms

    • Red Hat AI
    • Red Hat Enterprise Linux
    • Red Hat OpenShift
    • Red Hat Ansible Automation Platform
    • See all products

    Build

    • Developer Sandbox
    • Developer Tools
    • Interactive Tutorials
    • API Catalog

    Quicklinks

    • Learning Resources
    • E-books
    • Cheat Sheets
    • Blog
    • Events
    • Newsletter

    Communicate

    • About us
    • Contact sales
    • Find a partner
    • Report a website issue
    • Site Status Dashboard
    • Report a security problem

    RED HAT DEVELOPER

    Build here. Go anywhere.

    We serve the builders. The problem solvers who create careers with code.

    Join us if you’re a developer, software engineer, web designer, front-end designer, UX designer, computer scientist, architect, tester, product manager, project manager or team lead.

    Sign me up

    Red Hat legal and privacy links

    • About Red Hat
    • Jobs
    • Events
    • Locations
    • Contact Red Hat
    • Red Hat Blog
    • Inclusion at Red Hat
    • Cool Stuff Store
    • Red Hat Summit
    © 2025 Red Hat

    Red Hat legal and privacy links

    • Privacy statement
    • Terms of use
    • All policies and guidelines
    • Digital accessibility

    Report a website issue