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


    To deploy the postfix Helm chart on Google Kubernetes Engine (GKE), you will first need to set up a GKE cluster. Once the cluster is created, you can then use Pulumi's Helm support to deploy the postfix chart to your cluster.

    Below is a Pulumi program written in TypeScript that demonstrates how to accomplish this. The program performs the following actions:

    1. Creates a GKE cluster.
    2. Deploys the postfix Helm chart to the created GKE cluster.

    Before this Pulumi program can be run, ensure that you have set up the Pulumi CLI and authenticated with Google Cloud by running gcloud auth login and gcloud config set project [YOUR_GCP_PROJECT].

    Here is the TypeScript program:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster. const cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { preemptible: true, machineType: "n1-standard-1", oauthScopes: [ "https://www.googleapis.com/auth/cloud-platform", ], }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the Kubeconfig to access the cluster with kubectl 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: ${masterAuth.clusterCaCertificate} server: https://${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 `; }); // Create a Kubernetes provider instance that uses our cluster from above. const k8sProvider = new k8s.Provider("my-k8s-provider", { kubeconfig: kubeconfig, }); // Deploy postfix Helm chart to the created GKE cluster using the K8s provider. const postfixChart = new k8s.helm.v3.Chart("postfix", { chart: "postfix", // You'll need to provide the correct repository where the postfix chart is located fetchOpts: { repo: "https://charts.bitnami.com/bitnami", }, }, { provider: k8sProvider }); // Export the Helm chart resources export const chartResources = postfixChart.resources;

    In this program:

    • We define a GKE cluster with two initially created nodes using the gcp.container.Cluster resource.
    • initialNodeCount is the number of nodes to be created, which is set to 2.
    • nodeVersion and minMasterVersion specify the version of Kubernetes to use on the nodes and master.
    • nodeConfig describes the configuration of the nodes. Here, preemptible is set to true to reduce costs, and the machineType is set to n1-standard-1.
    • The OAuth scopes specified for the nodes allow all Google Cloud services to be accessed by the cluster.
    • After the cluster is defined, we export the cluster name and generate a kubeconfig file that can be used to interact with the cluster via kubectl.
    • A k8s.Provider is then set up using this kubeconfig, which is necessary to interact with the created cluster.
    • Finally, we deploy the postfix Helm chart to our GKE cluster using the k8s.helm.v3.Chart resource. Note that the Helm chart name ("postfix") and repository URL ("https://charts.bitnami.com/bitnami") should be specified according to the Helm chart you intend to deploy.
    • We export the resources created by the Helm chart for reference purposes.

    To run this program, save it to a file (e.g., index.ts), then execute it using the Pulumi CLI with the commands pulumi up to create the resources. Once you're done, run pulumi destroy to clean up the resources.