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


    To deploy a Helm chart on Google Kubernetes Engine (GKE) with Pulumi, you'll follow these steps:

    1. Create a GKE cluster.
    2. Configure Kubernetes for Pulumi, which allows Pulumi to communicate with your cluster.
    3. Use the Pulumi's Kubernetes provider to deploy the Helm chart.

    Below is the Pulumi TypeScript program that accomplishes these steps:

    Step 1: Create a GKE Cluster

    First, you need to create a GKE cluster where your Helm chart will be deployed. We'll use the google-native.container/v1.Cluster resource for this. The resource allows you to define a GKE cluster by specifying details like the initial number of nodes, the type of machine, networking settings, and more. You may adjust these specifications as per your requirements.

    Step 2: Configure Kubernetes for Pulumi

    Once the cluster is created, we will obtain the kubeconfig from GKE, which is required by Pulumi's Kubernetes provider to interact with your cluster.

    Step 3: Deploy the Helm Chart

    Finally, we deploy the ztncui Helm chart to the GKE cluster using kubernetes.helm.v3.Chart resource, which represents a Helm chart in a Pulumi program. The settings for the Helm chart, such as the version and values, can be configured in this step.

    Here's the complete program:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create the GKE cluster const cluster = new gcp.container.Cluster("ztncui-gke-cluster", { initialNodeCount: 2, nodeConfig: { machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/compute", "https://www.googleapis.com/auth/devstorage.read_only", "https://www.googleapis.com/auth/logging.write", "https://www.googleapis.com/auth/monitoring", ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Step 2: Obtain the kubeconfig for Pulumi's Kubernetes provider 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: ${masterAuth.clusterCaCertificate} server: https://${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 `; }); // Step 3: Deploy the ztncui Helm chart const ztncuiChart = new k8s.helm.v3.Chart("ztncui-chart", { chart: "ztncui", // Specify the repository here if ztncui is not in the stable repository // e.g., repositoryOpts: { // repo: "http://my-chart-repo/" // }, // You could also specify the version and values for the chart here. }, { provider: new k8s.Provider("k8s-provider", { kubeconfig }) }); // Export the Helm chart name export const helmChartName = ztncuiChart.name;

    This program does the following:

    1. It defines a GKE cluster with a specific machine type and OAuth scopes.
    2. After the cluster is created, it dynamically generates the kubeconfig needed to communicate with the cluster.
    3. It creates a new instance of a Helm chart, which points to the ztncui chart that you want to deploy.

    To use this Pulumi program:

    1. Install Pulumi and set up the GCP CLI.
    2. Save this code in a file with a .ts extension in a new directory.
    3. Run pulumi up from within that directory to create the GKE cluster and deploy the Helm chart.

    Replace "ztncui" with the actual chart name if different, and specify the Helm chart repository and version if it's not in the stable repository or you want to use a specific version. You may also pass configuration values to the chart using the values property in the Chart resource options.