1. Deploy the turborepo-remote-cache helm chart on Google Kubernetes Engine (GKE)


    To deploy a Helm chart on a Google Kubernetes Engine (GKE) cluster, you'll need to perform several steps using Pulumi. The process involves creating a GKE cluster and then deploying the Helm chart to that cluster. Below are the steps you'd typically follow:

    1. Set up GKE Cluster: You'll need to create a new GKE cluster or use an existing one. This involves specifying the necessary configurations like the machine type, node count, and networking options as required for your use case.

    2. Deploy Helm Chart to GKE Cluster: Once your cluster is ready, you'll use a Helm Chart resource to deploy the turborepo-remote-cache chart. This will involve adding the Helm chart repository, if it's not a part of the default repositories, and then deploying the chart with the appropriate values.

    Here is a program written in TypeScript that demonstrates these steps using Pulumi:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Set up the GKE Cluster // This will create a new GKE cluster with the name `turborepo-cluster`. const cluster = new gcp.container.Cluster("turborepo-cluster", { // Use the desired region and zone for your cluster location: "us-central1-a", initialNodeCount: 2, minMasterVersion: "latest", // Use an appropriate version for your needs nodeVersion: "latest", // Use an appropriate version as well nodeConfig: { machineType: "n1-standard-1", // Choose an appropriate type based on your needs preemptible: true, 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 and kubeconfig export const clusterName = cluster.name; export const kubeconfig = cluster.endpoint.apply(endpoint => { return cluster.name.apply(name => { return cluster.masterAuth.apply(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 2: Deploy Helm Chart to the GKE Cluster // First, we need to set up a Kubernetes provider to communicate with the GKE cluster. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig }); // Now you can deploy the Helm chart turborepo-remote-cache to your GKE cluster. // Replace `CHART_VERSION` with the specific version you want to deploy, `REPO_URL` with the Helm repository URL // and `VALUES` with the necessary configurations. const turborepoCacheChart = new k8s.helm.v3.Chart("turborepo-remote-cache", { chart: "turborepo-remote-cache", version: "CHART_VERSION", // Specify the chart version fetchOpts: { repo: "REPO_URL", // Helm repository URL }, values: { // Provide the necessary values for your turborepo-remote-cache setup } }, { provider: k8sProvider }); // Export outputs, such as the Helm chart status, name, and version export const chartStatus = turborepoCacheChart.status; export const chartName = turborepoCacheChart.name; export const chartVersion = turborepoCacheChart.version;

    This program accomplishes the following:

    • Creates a new GKE cluster with a specified configuration.
    • Exports the cluster's kubeconfig for use with kubectl or other Kubernetes tools.
    • Creates a Kubernetes provider to communicate with the GKE cluster.
    • Deploys the turborepo-remote-cache Helm chart to the cluster.

    Remember to replace placeholders like CHART_VERSION, REPO_URL, and VALUES with the actual version of the chart, the URL of the Helm repository for the turborepo-remote-cache, and the values to configure the chart according to its documentation, respectively.

    Additionally, keep in mind to configure your GCP credentials appropriately before running this program, usually by setting the GOOGLE_CLOUD_KEYFILE_JSON environment variable which points to your service account key JSON file.

    After setting up the GKE cluster and deploying the chart, the turborepo cache will be running on the cluster and be ready for use.