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


    To deploy the Gradle Cache Helm chart on Google Kubernetes Engine (GKE), you'll need to follow these steps:

    1. Set up a GKE cluster.
    2. Install and initialize Helm.
    3. Add the helm repository where the Gradle Cache chart is located.
    4. Deploy the Gradle Cache chart to your GKE cluster using Helm.

    I will guide you through the necessary Pulumi code in TypeScript to accomplish the deployment. We will be using several Pulumi resources starting with google-native.container/v1beta1.Cluster to create a GKE cluster, followed by kubernetes.helm.sh/v3.Release to deploy the Gradle Cache Helm chart.

    The program below accomplishes the following:

    • It creates a new GKE cluster with the required configurations.
    • It then proceeds to install the Gradle Cache via a Helm chart.

    Make sure you've installed Pulumi and configured it for use with your Google Cloud Platform account. Pulumi's GCP provider will need credentials to create and manage resources in your GCP project.

    Now, let's go over the code to accomplish your deployment:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Load the required GCP project config. const config = new pulumi.Config("gcp"); const project = config.require("project"); const zone = config.require("zone"); // Create a GKE cluster for our Gradle Cache. const cluster = new gcp.container.Cluster("gradle-cache-cluster", { initialNodeCount: 1, nodeVersion: "latest", minMasterVersion: "latest", project: project, zone: zone, }); // Export the Cluster name and Kubeconfig const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, masterAuth]) => { const context = `${project}_${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: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); // Instantiate a Kubernetes Provider using the GKE cluster kubeconfig. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy Gradle Cache Helm chart const gradleCacheRelease = new k8s.helm.v3.Release("gradle-cache-helm", { chart: "gradle-cache", // Specify the chart repository URL if it's from a custom repository // repositoryOpts: { // repo: "https://charts.example.com/", // }, version: "1.0.0", // Specify the version of the chart if required namespace: "default", // Replace with the namespace where you want to deploy }, { provider: k8sProvider }); // Export the Gradle Cache service endpoint export const gradleCacheEndpoint = pulumi.interpolate`http://${gradleCacheRelease.status.loadBalancer.ingress[0].ip}`;

    In this code block:

    • We start by importing the necessary modules from Pulumi's library.
    • We configure the GCP project and zone from the Pulumi configuration.
    • We create a GKE cluster named gradle-cache-cluster with the minimum required settings.
    • We generate kubeconfig which we'll use to interact with our GKE cluster using the Kubernetes provider.
    • We initialize the Pulumi Kubernetes provider with the generated kubeconfig.
    • We deploy the gradle-cache Helm chart on the GKE cluster in the default namespace. Make sure to replace chart, repositoryOpts, and version with the correct information about your Helm chart.
    • We export the LoadBalancer IP of the Gradle Cache service, which we can access once it's deployed.

    Before you run the above program, you will need to set up the GCP configuration for your project and zone. Use the following commands to set up the Pulumi configuration:

    pulumi config set gcp:project YOUR_GCP_PROJECT_ID pulumi config set gcp:zone YOUR_GCP_ZONE

    Now, you can run the Pulumi program to deploy the cluster and Gradle Cache application. After deploying, you will receive an endpoint as an output which you can use to access your Gradle Cache service.

    Finally, make sure you have the correct Helm chart details: the repository URL (if it's a custom one) and the version of the Gradle Cache Helm chart that you want to deploy.