Tutorial: Configure GitLab Runner to use the Google Kubernetes Engine

This tutorial describes how to configure GitLab Runner to use the Google Kubernetes Engine (GKE) to run jobs.

In this tutorial, you configure GitLab Runner to run jobs in the Standard cluster mode.

To configure GitLab Runner to use the GKE:

  1. Set up your environment.
  2. Create and connect to a cluster.
  3. Install and configure the Kubernetes Operator.
  4. Optional. Verify that the configuration was successful.

Before you begin

Before you can configure GitLab Runner to use the GKE you must:

Set up your environment

Install the tools to configure and use GitLab Runner in the GKE.

  1. Install and configure Google Cloud CLI. You use Google Cloud CLI to connect to the cluster.
  2. Install and configure kubectl. You use kubectl to communicate with the remote cluster from your local environment.

Create and connect to a cluster

This step describes how to create a cluster and connect to it. After you connect to the cluster, you use kubectl to interact with it.

  1. In the Google Cloud Platform, create a standard cluster.

  2. Install the kubectl authentication plugin:

    gcloud components install gke-gcloud-auth-plugin
    
  3. Connect to the cluster:

    gcloud container clusters get-credentials CLUSTER_NAME --zone=CLUSTER_LOCATION
    
  4. View the cluster configuration:

    kubectl config view
    
  5. Verify that you are connected to the cluster:

    kubectl config current-context
    

Install and configure the Kubernetes Operator

Now that you have a cluster, you’re ready to install and configure the Kubernetes Operator.

  1. Install cert-manager. Skip this step if you already have a certificate manager installed:

    kubectl apply -f https://github.com/jetstack/cert-manager/releases/download/v1.7.1/cert-manager.yaml
    
  2. Install the Operator Lifecycle Manager (OLM), a tool that manages the Kubernetes Operators that run on the cluster:

    curl --silent --location "https://github.com/operator-framework/operator-lifecycle-manager/releases/download/v0.24.0/install.sh" \
     | bash -s v0.24.0
    
  3. Install the Kubernetes Operator:

    kubectl create -f https://operatorhub.io/install/gitlab-runner-operator.yaml
    
  4. Operator Lifecycle Manager v0.25.0 and later only. Add your own certificate manager or use cert-manager.

    • To add your own certificate provider:

      1. In the gitlab-runner-operator.yaml, define the certificate namespace and certificate name in the env setting:

        cat > gitlab-runner-operator.yaml << EOF
        apiVersion: operators.coreos.com/v1alpha1
        kind: Subscription
        metadata:
        name: gitlab-runner-operator
        namespace: gitlab-ns
        spec:
        channel: stable
        name: gitlab-runner-operator
        source: operatorhubio-catalog
        ca: webhook-server-cert
        sourceNamespace: olm
        config:
        env:
           - name: CERTIFICATE_NAMESPACE
           value: cert_namespace_desired_value
           - name: CERTIFICATE_NAME
           value: cert_name_desired_value
        EOF
        
      2. Apply the gitlab-runner-operator.yaml to the Kubernetes cluster:

        kubectl apply -f gitlab-runner-operator.yaml
        
    • To use the cert-manager:

      1. Use the certificate-issuer-install.yaml to install a Certificate and Issuer in the default namespace, in addition to the operator installation:

        cat > certificate-issuer-install.yaml << EOF
        apiVersion: v1
        kind: Namespace
        metadata:
        labels:
           app.kubernetes.io/component: controller-manager
           app.kubernetes.io/managed-by: olm
           app.kubernetes.io/name: gitlab-runner-operator
        name: gitlab-runner-system
        ---
        apiVersion: cert-manager.io/v1
        kind: Certificate
        metadata:
        name: gitlab-runner-serving-cert
        namespace: gitlab-runner-system
        spec:
        dnsNames:
        - gitlab-runner-webhook-service.gitlab-runner-system.svc
        - gitlab-runner-webhook-service.gitlab-runner-system.svc.cluster.local
        issuerRef:
          kind: Issuer
          name: gitlab-runner-selfsigned-issuer
        secretName: webhook-server-cert
        ---
        apiVersion: cert-manager.io/v1
        kind: Issuer
        metadata:
        name: gitlab-runner-selfsigned-issuer
        namespace: gitlab-runner-system
        spec:
        selfSigned: {}
        EOF
        
      2. Apply the certificate-issuer-install.yaml to the Kubernetes cluster:

        kubectl create -f certificate-issuer-install.yaml
        
  5. Create a secret that contains the runner-registration-token from your GitLab project:

     cat > gitlab-runner-secret.yml << EOF
     apiVersion: v1
     kind: Secret
     metadata:
       name: gitlab-runner-secret
     type: Opaque
     stringData:
       runner-token: YOUR_RUNNER_AUTHENTICATION_TOKEN
     EOF
    
  6. Apply the secret:

    kubectl apply -f gitlab-runner-secret.yml
    
  7. Create the custom resource definition file and include the following information:

     cat > gitlab-runner.yml << EOF
     apiVersion: apps.gitlab.com/v1beta2
     kind: Runner
     metadata:
       name: gitlab-runner
     spec:
       gitlabUrl: https://gitlab.example.com
       buildImage: alpine
       token: gitlab-runner-secret
     EOF
    
  8. Apply the custom resource definition file:

    kubectl apply -f gitlab-runner.yml
    

That’s it! You’ve configured GitLab Runner to use the GKE. In the next step, you can check if your configuration is working.

Verify your configuration

To check if runners are running in the GKE cluster, you can either:

  • Use the following command:

    kubectl get pods
    

    You should see the following output. This shows that your runners are running in the GKE cluster:

    NAME                             READY   STATUS    RESTARTS   AGE
    gitlab-runner-hash-short_hash    1/1     Running   0          5m
    
  • Check the job log in GitLab:

    1. On the left sidebar, select Search or go to and find your project.
    2. Select Build > Jobs and find the job.
    3. To view the job log, select the job status.