1. Deploy the typo3scan helm chart on Google Kubernetes Engine (GKE)


    To deploy the typo3scan Helm chart on Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster and then use Pulumi's Helm Release resource to deploy the chart to that cluster. Below is a step-by-step guide and a corresponding Pulumi program written in TypeScript to accomplish this.

    Step 1: Set up a GKE Cluster

    First, you need to create a GKE cluster. The google-native.container/v1.Cluster resource will be used to create the cluster in GKE. This cluster will be the Kubernetes environment where your Helm chart will be deployed.

    Step 2: Deploy the Helm Chart

    Once the GKE cluster is up and running, you can deploy the typo3scan Helm chart using the harness.service.Helm resource. The Helm release will require the name of the chart and, optionally, any overrides you wish to provide to the default chart values.

    Now, let's put that into a Pulumi program:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create a GKE cluster const cluster = new gcp.container.Cluster("typo3scan-cluster", { // Define required properties for the GKE cluster here // For brevity, just specifying the minimal configuration, you can specify more options as necessary initialNodeCount: 2, minMasterVersion: "latest", // replace with an exact version if required }); // Export the Cluster name and Kubeconfig export const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${masterAuth[0].clusterCaCertificate} server: https://${endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp`; }); const kubeProvider = new k8s.Provider("kubeProvider", { kubeconfig: kubeconfig, }); // Step 2: Deploy the typo3scan Helm chart to the GKE cluster const chart = new k8s.helm.v3.Chart("typo3scan-chart", { chart: "typo3scan", fetchOpts:{ repo: "http://helm-repository/url/", // Replace with typo3scan Helm chart repository URL }, // Specify the values.yaml configuration by using the 'values' property if needed }, { provider: kubeProvider }); // Export the Chart name export const chartName = chart.id;

    This program does the following:

    • It creates a GKE cluster with 2 nodes and the latest available version of Kubernetes.
    • It exports the kubeconfig that is needed to communicate with your GKE cluster.
    • It sets up a Pulumi Kubernetes provider that uses the generated kubeconfig.
    • It deploys the typo3scan Helm chart to the GKE cluster using the Pulumi Kubernetes provider.

    Now let’s go through the code and understand how to use these resources:

    1. GKE Cluster: This is created using the gcp.container.Cluster class, where you need to define the properties of the cluster such as the number of nodes, Kubernetes version, etc.

    2. Kubeconfig: This is essential for Pulumi to interact with your Kubernetes cluster. The kubeconfig is generated using the details of the created GKE cluster and is later used to configure the Kubernetes provider for Pulumi.

    3. Helm Chart: This is created using the k8s.helm.v3.Chart class. You need to provide the name of the chart and optionally you could include the repository if typo3scan is in a custom Helm repository. You may also specify the values property to override the default chart values.

    Make sure you replace http://helm-repository/url/ with the actual repository URL hosting the typo3scan chart.

    Remember that to execute this Pulumi program you'll need to have Pulumi installed, along with the necessary GCP and Kubernetes Pulumi packages. You will also need to have gcloud installed and authorized to access your GCP account since the kubeconfig relies on gcloud to generate access tokens.

    Once the program is executed successfully, your GKE cluster will be up and running with the typo3scan Helm chart deployed. You can verify the deployment using kubectl or by checking the resources in your GCP console.