1. Deploy the variant-cron helm chart on Google Kubernetes Engine (GKE)


    To deploy a Helm chart on Google Kubernetes Engine (GKE) using Pulumi, you would first need a running GKE cluster to deploy your applications on. Once you have a Kubernetes cluster, you can use the Pulumi Kubernetes provider to deploy the Helm chart. In this scenario, I'll guide you through creating a GKE cluster and then deploying the variant-cron Helm chart to that cluster.

    First, we'll write a Pulumi program in TypeScript to create a GKE cluster. We'll use the gcp.container.Cluster resource from the Pulumi GCP provider, as this resource allows us to create and manage a GKE cluster. Once the cluster is set up, we'll configure kubectl to connect to that cluster using the output properties provided by the resource. After that, we'll deploy the Helm chart using the kubernetes.helm.v3.Chart Pulumi resource, which is designed to work with Helm charts.

    Here's a Pulumi program that demonstrates these steps:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; const projectName = gcp.config.project; const zone = "us-central1-a"; // You can change this to your preferred GCP zone // Create a GKE cluster. const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", location: zone, project: projectName, }); // Export the cluster name and kubeconfig. export const clusterName = cluster.name; export const kubeconfig = cluster.endpoint.apply(endpoint => { return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.clusterCaCertificate} server: https://${endpoint} name: ${cluster.name} contexts: - context: cluster: ${cluster.name} user: ${cluster.name} name: ${cluster.name} current-context: ${cluster.name} kind: Config preferences: {} users: - name: ${cluster.name} user: client-certificate-data: ${cluster.masterAuth.clientCertificate} client-key-data: ${cluster.masterAuth.clientKey} `; }); // Setup a Kubernetes provider instance that uses our kubeconfig. const k8sProvider = new k8s.Provider("gke-k8s", { kubeconfig: kubeconfig, }); // Deploy the `variant-cron` Helm chart. const helmChart = new k8s.helm.v3.Chart("variant-cron-chart", { chart: "variant-cron", // You should replace '<repository>' with the actual repository URL where the chart is located. // For example, `https://charts.example.com/` fetchOpts: { repo: "<repository>", }, version: "0.1.0", // Replace with the specific chart version you wish to deploy. }, { provider: k8sProvider }); // Export the Helm chart's status and deployed resources. export const helmChartStatus = helmChart.status; export const deployedResources = helmChart.resources;

    Here's a breakdown of the program:

    1. We import the required Pulumi packages - one for Google Cloud (@pulumi/gcp) and one for Kubernetes (@pulumi/kubernetes).
    2. We specify the GCP project name (assuming it's set up in Pulumi config) and the desired GCP zone.
    3. We create a GKE cluster with a desired number of nodes and Kubernetes version.
    4. We export the cluster name and generate a kubeconfig that can be used to interact with the cluster outside of Pulumi if needed.
    5. We create a Pulumi Kubernetes provider configured to use the generated kubeconfig.
    6. We deploy the Helm chart to the GKE cluster using the Kubernetes provider. You will need to replace <repository> with the actual Helm chart repository URL and specify the exact version you want to deploy.
    7. Finally, we export the status of the Helm chart deployment and all deployed Kubernetes resources for easy access and reference.

    To run this Pulumi program, you'll need to:

    1. Install Pulumi and configure it with GCP credentials.
    2. Install Node.js and npm if you haven't already, since Pulumi uses Node.js for TypeScript.
    3. Save the above code in a file named index.ts in an empty directory.
    4. Run npm init -y in your terminal within that directory to create a package.json file.
    5. Install needed Pulumi packages by running npm install @pulumi/gcp @pulumi/kubernetes.
    6. Run pulumi up to deploy your program to the cloud!

    Please replace any placeholder values with actual values that are relevant to your project. This may include the GCP zone, GKE versions, Helm chart repository, and chart version. If you need more help or clarification, please let me know!