1. Deploy the gardener-metrics-exporter helm chart on Google Kubernetes Engine (GKE)


    To deploy the gardener-metrics-exporter Helm chart on Google Kubernetes Engine (GKE), we need to complete the following steps:

    1. Create a GKE cluster: This involves setting up a Kubernetes cluster on Google Cloud Platform (GCP) where our Helm chart will be deployed.
    2. Configure Kubectl: Once the GKE cluster is ready, we need to configure kubectl to communicate with the newly created cluster.
    3. Initialize Helm: Helm is a package manager for Kubernetes, and we need to ensure it is set up correctly to manage deployments.
    4. Deploy Helm Chart: Lastly, we install the gardener-metrics-exporter Helm chart on the GKE cluster.

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

    Please note that this program assumes the following:

    • You have the Pulumi CLI installed and configured with your GCP credentials.
    • You have set up the appropriate GCP project and have permissions to create GKE clusters.
    • Helm is installed on your local machine.

    Here is the TypeScript 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 // We first create a GKE cluster with a small default node pool. const cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, }); // Export the Cluster name, Kubeconfig requires the cluster name and zone to communicate with the cluster. 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: Configure Kubectl // The Kubeconfig is used to configure kubectl. We create a kubeconfig file from the output of our GKE cluster creation. const k8sProvider = new k8s.Provider("gke-k8s", { kubeconfig: kubeConfig, }); // Step 3: Initialize Helm // We need a Helm Release resource to deploy our Helm chart onto our GKE cluster. // This step might not be needed if you use Helm v3, as it no longer requires Tiller. // Step 4: Deploy Helm Chart // Finally, we deploy the `gardener-metrics-exporter` chart const gardenerMetricsExporter = new k8s.helm.v3.Release("gardener-metrics-exporter", { chart: "gardener-metrics-exporter", // The repository option is used to specify the Helm chart repository. // Assuming "gardener-metrics-exporter" is in your configured chart repositories. // Otherwise, you have to add repository configuration with the `repo` option. namespace: "default", }, { provider: k8sProvider }); // Export the Release name so we can easily find it in the Helm list later. export const gardenerMetricsExporterName = gardenerMetricsExporter.name;

    This program uses the following resources from the Pulumi library:

    • @pulumi/gcp: To create and manage resources on GCP.
    • @pulumi/kubernetes: To create and manage Kubernetes resources using Pulumi.
    • @pulumi/pulumi: To work with outputs and other Pulumi-specific behaviors.

    To use this program, save it into a file named index.ts, and then run pulumi up from the same directory. Pulumi will provision the GKE cluster and deploy the Helm chart automatically.

    If you would like to customize the Helm chart's deployment, use the values property within the k8s.helm.v3.Release resource to provide your configuration. These are the equivalent of using --set or passing a values file in Helm's CLI.

    Remember to follow any post-deployment steps required for gardener-metrics-exporter, such as configuring access policies or verifying that it is running properly within the cluster.