CI and CD With OpenShift
Releasing software frequently to users can be time-consuming and painful. CI/CD can help, and is one of the popular use-cases for OpenShift Container Platform.
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Releasing software frequently to users is usually a time-consuming and painful process. Continuous Integration and Continuous Delivery (CI/CD) can help organizations to become more Agile by automating and streamlining the steps involved in going from an idea, change in the market or business requirement to the delivered product to the customer.
Jenkins has been a centerpiece for Continuous Integration, and with the introduction of Pipeline Jenkins plugin, it has become a popular tool for building Continuous Delivery pipelines that not only builds and tests the code changes but also pushes the change through various steps required to make sure the change is ready for release in upper environments like UAT and Stage.
CI/CD is one of the popular use-cases for OpenShift Container Platform. OpenShift provides a certified Jenkins container for building Continuous Delivery pipelines and also scales the pipeline execution through on-demand provisioning of Jenkins slaves in containers. This allows Jenkins to run many jobs in parallel and removes the wait time for running builds in large projects. OpenShift provides an end-to-end solution for building complete deployment pipelines and enables the necessarily automation required for managing code and configuration changes through the pipeline out-of-the-box.
This example demonstrates how to setup a complete containerized CI/CD infrastructure on OpenShift and also how it integrates into the developer workflow. We will also explore a day in the life of a developer by adding a new REST endpoint to the application using the Eclipse-based JBoss Developer Studio and see how that propagates through the pipeline, being built, tested, deployed and promoted to upper environments.
In this example, we use the following tools to set up a CI/CD infrastructure on OpenShift:
- Jenkins: CI/CD engine.
- Gogs: GIT server.
- Nexus Repository: Build artifact repository for managing JAR, WAR, and EAR files.
- SonarQube: Static code analysis to detect bugs and anti-patterns.
Although all above tools run in containers on OpenShift in this example, they can very well be running elsewhere on another type of infrastructure or be replaced by other popular tools like GitHub, BitBucket, GitLab, Bamboo, CircleCI, etc.
The following diagram shows the steps included in the example pipeline:
When a code or configuration commit triggers a pipeline execution:
- Code is cloned from Gogs Git server, built, tested and analyzed for bugs and anti-patterns.
- The WAR artifact build in the previous step is archived in Nexus Repository.
- OpenShift takes the WAR artifact from Nexus Repository and builds a Docker image by layering the WAR file on top of JBoss EAP 6.
- The Docker image is deployed in a fresh new container in DEV environment.
- A set of automated tests run against the application container in DEV environment.
- If tests successful, the Docker image is tagged with the application version and gets promoted to the STAGE environment.
- The tagged image is deployed in a fresh new container in the STAGE environment.
All configuration for setting up this example is available in this GitHub repository.
Published at DZone with permission of Siamak Sadeghianfar, DZone MVB. See the original article here.
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