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    CloudBees Core pipeline on Kubernetes

    CloudBees Core is the successor to CloudBees Jenkins Platform and CloudBees Jenkins Enterprise. This article explains how to integrate the Prisma Cloud Jenkins plugin with a CloudBees Core build pipeline running in a Kubernetes cluster.

    Key concepts

    Refer to the article on setting up a Jenkins Pipeline in Kubernetes, as the core concepts are the same. In the case of CloudBees Core on Kubernetes, much of the configuration is already done and the pipeline script is simpler because the JNLP Agent/Slave container is launched automatically. The only tricky bit of configuration is determining the group ID (gid) of the docker group on your Kubernetes hosts, and using it to add some YAML to the default JNLP Agent/Slave pod configuration in CloudBees core. This allows a pod running your pipeline to build and scan images using the mapped Docker socket of the underlying hosts.

    Integrating Prisma Cloud

    After installing the Prisma Cloud Jenkins plugin, configure the default pod template.
    Prerequisites:
    1. Get the docker group ID (GID) used by the hosts in your Kubernetes cluster.
      1. SSH to a node in the cluster.
      2. Get the docker group GID. Copy it and set it aside for now.
        $ sudo grep docker /etc/group
    2. Log into the CloudBees Core console, and navigate to <CLOUDBEES_CONSOLE>/cjoc/view/All/.
    3. Click on
      kubernetes shared cloud
      .
    4. In the left navigation bar, click on
      Configure
      .
    5. Scroll down to the
      Kubernetes pod template
       section. You’ll notice a pod template named default-java with a single container named jnlp.
    6. Scroll to the bottom of the section. In
      Raw yaml for the Pod
      , enter the following snippet, replacing <GID> with the docker GID for your environment.
      spec:
 securityContext:
   fsGroup: <GID>
    7. Grant all containers in the pod access to the underlying host’s Docker socket (unless you do this manually in the pipeline script).
      1. Scroll up to the
        Volumes
         section.
      2. Add a Host Path Volume to the pod template.
      3. In both
        Host path
         and
        Mount path
        , enter
        /var/run/docker.sock
        .
    8. Add a second container to the pod template.
      In addition to the JNLP agent/slave, you’ll also want to spin up a container with the docker binary inside of it. Use the official docker image from DockerHub and name it
      build
      , although you could use any image with the docker client command installed in it. The docker client will use the Docker socket mounted from the underlying host.
      1. Scroll up the
        Container Template
         section.
      2. Click
        Add Container
        .
      3. In
        Name
        , enter
        build
        .
      4. In
        Docker image
        , enter
        docker
        .
      5. In
        Working directory
        , enter
        /home/jenkins
        .
      6. In
        Command to run
        , enter
        /bin/sh -c
        .
      7. In
        Arguments to pass to the command
        , enter
        cat
        .
      8. Enable
        Allocate pseudo-TTY
        .
    9. Your CloudBees Core pod template config page should look like the folowing screenshot.

    Pipeline template

    The following template can be used as a starting point for your own scripted pipeline. This template illustrates how to build a new Docker image and then scan it with the Prisma Cloud scanner. Because the pod template includes a container named 'build' that has the docker client command, you can use it in step (1) to build an image.
    {
  node {

    stage ('Build image') { // See 1
      container('build') {
        sh """
        mkdir myproj
        cd myproj
        echo 'FROM alpine:latest' > Dockerfile
        docker build -t myalpine:latest .
        """
      }
    }

    stage ('Prisma Cloud scan') { // See 2
      prismaCloudScanImage
                    ca: '',
                    cert: '',
                    image: 'myalpine:latest',
                    resultsFile: 'prisma-cloud-scan-results.xml',
                    project: '',
                    dockerAddress: 'unix:///var/run/docker.sock',
                    ignoreImageBuildTime: true,
                    key: '',
                    logLevel: 'true',
                    timeout: 10,
                    podmanPath:''
    }

    stage ('Prisma Cloud publish') { // See 3
      prismaCloudPublish resultsFilePattern: 'prisma-cloud-scan-results.xml'
    }

  }
}
    This template has the following characteristics:
    • 1
       — The first stage of the pipeline builds a new container image from a one-line Dockerfile inside the 'build' container specified in the pod config. Note that the prismaCloudScanImage and prismaCloudPublish functions cannot be run inside the container('<NAME>') block . They must be run in the default context.
    • 2
       — The second stage runs the Prisma Cloud scanner on our newly built image in the default JNLP Agent/Slave container named 'jnlp'.
    • 3
       — The third stage publishes the scan results to the Prisma Cloud Console.

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