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


    To deploy the redis-ui Helm chart on Google Kubernetes Engine (GKE), we'll follow several steps:

    1. We'll create a GKE cluster using Pulumi's GKE support.
    2. We'll use Pulumi's Helm chart support to deploy the redis-ui chart on the created GKE cluster.

    We'll be making use of the @pulumi/gcp and @pulumi/kubernetes packages. The @pulumi/gcp package will allow us to create resources on Google Cloud Platform (GCP), like a GKE cluster. The @pulumi/kubernetes package will allow us to interact with Kubernetes, including deploying a Helm chart.

    Before we start, ensure that you have installed Pulumi and configured your GCP credentials. You should have a GCP project and the gcloud CLI installed and configured for your environment.

    Now, let's move on to the Pulumi program:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Create a GKE cluster const engineVersion = gcp.container.getEngineVersions({}).then(v => v.latestMasterVersion); const cluster = new gcp.container.Cluster("redis-cluster", { initialNodeCount: 2, minMasterVersion: engineVersion, nodeVersion: engineVersion, nodeConfig: { // Be sure to choose the machine type that suits your needs and budget 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 and kubeconfig export const clusterName = cluster.name; 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: gcp `; }); // Step 2: Deploy the redis-ui Helm chart on the created GKE cluster const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeConfig, }); const redisUiChart = new k8s.helm.v3.Chart("redis-ui", { chart: "redisplay", version: "1.0.0", // Use the appropriate chart version fetchOpts: { repo: "https://charts.example.com/", // Update with the correct Helm repo URL for redis-ui } }, { provider: k8sProvider }); // Export the Redis UI service endpoint export const redisUiService = redisUiChart.getResource("v1/Service", "redis-ui");

    This Pulumi program consists of two main parts:

    1. GKE Cluster Creation: We create a GKE cluster using gcp.container.Cluster. We configure it to have initial two nodes, using a specific machine type. Modify machineType as well as initialNodeCount based on your requirements and budget. The cluster version is automatically set to the latest available at the time of creation.

    2. Deploying Redis UI Helm Chart: We deploy the redis-ui chart using Pulumi's k8s.helm.v3.Chart. You'll need the exact name of the chart and the Helm repository where it's hosted. You might need to customize the version and fetchOpts.repo according to the available Redis UI Helm chart.

    3. Exporting Configuration: The GKE cluster's name and endpoint along with the necessary authentication tokens are combined together to form a kubeconfig that Pulumi uses for managing Kubernetes resources (e.g., deploying the Helm chart). We also export the service endpoint for Redis UI for easy access after deployment.

    When you run pulumi up, Pulumi creates the resources in the specified order, and outputs are shown at the end of the operation which includes the clusterName and the endpoint for the redisUiService. You can use the kubeConfig output when manually interacting with the cluster using kubectl.

    Once you have this program, you can run the following commands to deploy your GKE cluster and the Redis UI Helm chart:

    pulumi stack init dev pulumi up

    Please make sure you replace the placeholder values such as the version number 1.0.0 and https://charts.example.com/ with actual values relevant to the redis-ui Helm chart.