1. Deploy the simple-redis helm chart on Google Kubernetes Engine (GKE)


    To deploy the simple-redis Helm chart on Google Kubernetes Engine (GKE), you'll need to complete a few steps:

    1. Set up a GKE cluster: Provision a Kubernetes cluster on GKE where your Helm chart will be deployed.
    2. Install the Helm chart: After setting up the cluster, use Pulumi to install the simple-redis Helm chart onto the GKE cluster.

    We'll use the @pulumi/gcp package to create a GKE cluster and the @pulumi/kubernetes package to apply the Helm chart.

    Below is a Pulumi program written in TypeScript that accomplishes these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; import * as gcp from "@pulumi/gcp"; // Step 1: Creating a GKE cluster const cluster = new gcp.container.Cluster("simple-redis-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", nodeConfig: { machineType: "n1-standard-1", 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 export const clusterName = cluster.name; // Obtain the Kubeconfig for the newly created GKE cluster 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 `; }); // Step 2: Install the simple-redis Helm chart on the GKE cluster const simpleRedisChart = new k8s.helm.v3.Chart("simple-redis", { chart: "redis", version: "10.5.7", // specify the version of the chart to install fetchOpts:{ repo: "https://charts.bitnami.com/bitnami", // specify the Helm chart repository }, }, { provider: new k8s.Provider("k8s-provider", {kubeconfig}) }); // Export the Redis service endpoint export const redisServiceEndpoint = simpleRedisChart.getResourceProperty("v1/Service", "simple-redis-redis-master", "status") .apply(status => status.loadBalancer.ingress[0].ip);

    Here's what each part of this program does:

    • We define a GKE cluster with initialNodeCount set to 2, representing the number of worker nodes in the cluster.
    • We set minMasterVersion and nodeVersion to latest to ensure that the cluster uses the latest available version.
    • In nodeConfig, we specify the type of machine to use and the OAuth scopes needed for the GKE nodes to interact with Google Cloud services.
    • We export the clusterName which will be the name of our GKE cluster.
    • We construct a kubeconfig that is required to communicate with the cluster with Pulumi's Kubernetes provider.
    • We define the simpleRedisChart as a resource that represents the simple-redis Helm chart. Here, we specify the chart name (redis), the chart version, and the repository where the chart can be found.
    • We provide the kubeconfig to the Kubernetes provider so Pulumi can communicate with the new GKE cluster and install the Helm chart.
    • Lastly, we export the redisServiceEndpoint which is the external IP address for the Redis service. You can use this IP address to connect to your Redis instance.

    After the program runs successfully, you'll have a Redis instance running on your GKE cluster, and the output will show the IP address you can use to connect to it. To run this program, you'll need to have Pulumi CLI installed and configured for both GCP and Kubernetes access. Save the code to a file with a .ts extension, and run pulumi up to start the deployment.