Using OpenShift Pipelines

Automated builds and deployments – known as CI/CD – of container-based applications can reduce mistakes, improve productivity, and promote more thorough testing. This sandbox activity introduces OpenShift Pipelines for automated builds and deployment.

OpenShift Pipelines is added to a Red Hat OpenShift cluster by the OpenShift Pipelines operator. This operator is already installed in the Developer Sandbox. So all we need to do is create objects and run our pipelines.

Learn more about the Developer Sandbox

In the first lesson, you cloned a repo and created a pipeline. In this lesson, you will create a workspace and complete its tasks. 

In order to get full benefit from taking this lesson, you need to:

  • A web browser.

In this lesson, you will:

  • Create the workspace.
  • Create its necessary tasks.

Prerequisites

The git-clone ClusterTask in our pipeline needs a workspace to place the source code. To build our Linux image, the Buildah ClusterTask will read the source from that same workspace. A Persistent Volume Claim (PVC) is what we use in Kubernetes.

Create the workspace

Run the following command to build the PVC to be used as our workspace:

oc create -f workspace.yaml

Preparing for necessary tasks

When you look at the qotd-pipeline.yaml file, you will see three tasks referenced in the TaskRef dictionaries within the tasks dictionary: git-clone, buildah, and apply-manifests.

  • The first two tasks, git-clone and buildah, are known as ClusterTasks, or tasks built into the OpenShift Pipeline Operator. You can see a list of ClusterTask objects by running the command tkn clustertask list. This is entirely optional.
  • Further, you can inspect a ClusterTask by running the tkn clustertask describe <<taskname>> command, such as tkn clustertask describe buildah. But, again, this is entirely optional.
  • However, the third and final task in our pipeline is apply-manifests, which is not a ClusterTask. In this case, we need to create this task object.

The contents of the apply_manifest_task.yaml file are as follows:

apiVersion: tekton.dev/v1beta1

kind: Task

metadata:

  name: apply-manifests

spec:

  workspaces:

  - name: source  

  params:

  - name: manifest_dir

    description: The directory in source that contains yaml manifests

    type: string

    default: "k8s"

  steps:

    - name: apply

      image: quay.io/openshift/origin-cli:latest

      workingDir: /workspace/source 

      command: ["/bin/bash", "-c"]

      args:

        - |-

          oc apply -f $(inputs.params.manifest_dir)

What does this do? How does it work? The apply-manifests task will look in the directory specified by the parameter manifest_dir — which has a default value of k8s” — and run the oc apply -f … command for every file found in that directory.

In the case of our source code, the k8s directory includes three files:

  • deploymentconfig.yaml
  • route.yaml
  • Service.yaml

Info alert: This is the source code as specified by the git-url parameter value supplied to the pipeline at runtime, and not the source code of the pipeline

You can view the contents of these files if you wish to see what they do. The important point is that this one pipeline task performs multiple operations based on the source code supplied. This yields a lot of power and flexibility.

Create necessary tasks

Run the following command to create the apply-manifests task:

oc create -f apply_manifest_task.yaml

Prepare to run the pipeline

Now you have all the pieces in place: A pipeline, the workspace, a task, and the URL of the source code. Now It’s time to run the pipeline.

Figure 1: The name of your OpenShift Project.
Figure 1: The name of your OpenShift Project.

You will need the name of your OpenShift project to run the pipeline.

Before running the command, set up your command line and browser to view the activity as the pipeline runs. This is entirely optional.

In the browser, select the Developer mode, then Pipelines. You will see your pipeline displayed (Figure 2).

Figure 2: Pipelines option within Developer context.
Figure 2: Pipelines option within Developer context.

Next, position your command line such that you can see both the command line in the foreground and the pipeline in the background. When you run the pipeline, you can view the action in both contexts. Figure 3 is a screenshot of my setup.

Figure 3: OpenShift dashboard in background with command line in foreground.
Figure 3: OpenShift dashboard in background with command line in foreground.

Congratulations. You're ready to run your pipeline.

Previous resource
Clone the GitHub repository and create the pipeline
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Run your pipeline and evaluate the results