1. Deploy the mod-tags helm chart on Google Kubernetes Engine (GKE)


    Deploying a Helm chart on Google Kubernetes Engine (GKE) involves several steps using Pulumi. First, you would need to create a GKE cluster, and then you would deploy the Helm chart to that cluster. Below I'll break down these steps and provide you with a TypeScript program that accomplishes this task.

    Step 1: Create a GKE Cluster

    Before deploying any applications, you must have an existing Kubernetes cluster. With Pulumi, you can define your infrastructure as code, including GKE clusters.

    The google-native.container/v1beta1.Cluster resource is used to create a GKE cluster. You will need to specify certain properties for your cluster, such as the zone or region where the cluster will be created, the number of nodes in the default node pool, the machine type for the nodes, etc.

    Step 2: Deploy the Helm Chart

    Once the cluster is up and running, you can deploy applications using Helm charts. The kubernetes.helm.sh/v3.Release resource from Pulumi's Kubernetes provider facilitates deployment of Helm charts.

    Here is a Pulumi TypeScript program that creates a GKE cluster and deploys the mod-tags Helm chart:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as gcpNative from "@pulumi/google-native"; // Create a GKE cluster const cluster = new gcp.container.Cluster("mod-tags-cluster", { initialNodeCount: 2, nodeConfig: { 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" ], machineType: "n1-standard-1", }, }); // Export the Cluster name export const clusterName = cluster.name; // Export the Kubeconfig to access the Cluster 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: gcloud `; }); // Create a Kubernetes Provider instance with the kubeconfig. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig }); // Deploy the 'mod-tags' Helm chart const modTagsChart = new k8s.helm.v3.Chart("mod-tags", { chart: "mod-tags", // Assuming 'mod-tags' chart is available in the official repository fetchOpts: { repo: "https://charts.example.com/", }, // Specify values for the Helm chart as needed // values: { /* ... */ }, }, { provider: k8sProvider }); // Export the Chart name export const helmChartName = modTagsChart.id;

    Understanding the Program

    • We start by importing the required Pulumi packages.
    • Then, a GKE cluster is created with a google-native.container/v1beta1.Cluster resource specifying two nodes and the n1-standard-1 machine type for the nodes.
    • The kubeconfig needed to access the cluster is generated. It uses Pulumi's apply function to combine several outputs into a single kubeconfig string.
    • A Pulumi Kubernetes provider is instantiated, which allows us to interact with the cluster using the generated kubeconfig.
    • Finally, a kubernetes.helm.sh/v3.Release resource is declared that deploys the mod-tags Helm chart into the GKE cluster. The fetchOpts property is used to specify the remote Helm chart repository details, assuming your mod-tags chart is hosted there.
    • The program exports the cluster name and Helm chart name so that they can be accessed from the CLI once the Pulumi program is run.

    How to Run the Program

    To run this program, you would:

    1. Ensure you have Pulumi and the GCP CLI installed and configured.
    2. Save the TypeScript code in a file, e.g., index.ts.
    3. Run pulumi up to preview and deploy the changes.
    4. After the deployment, you can use the exported kubeconfig to access your GKE cluster and verify that the mod-tags Helm chart is deployed.