1. Deploy the nginx-vts-exporter helm chart on Google Kubernetes Engine (GKE)


    To deploy the nginx-vts-exporter Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you would typically follow these steps:

    1. Set up a GKE cluster.
    2. Configure your Pulumi program to connect to the GKE cluster.
    3. Use the Pulumi Kubernetes provider to deploy the nginx-vts-exporter Helm chart to the cluster.

    Below you'll find a Pulumi TypeScript program that sets up a GKE cluster and deploys the nginx-vts-exporter Helm chart on that cluster.

    First, you need to have the GCP project set up and Pulumi configured to use your GCP credentials.

    Now, let's write the Pulumi program:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster const cluster = new gcp.container.Cluster("nginx-vts-exporter-cluster", { initialNodeCount: 1, 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; // Export the Kubeconfig to access the Cluster 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 `; }); // Create a Kubernetes Provider instance with the kubeconfig const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy the nginx-vts-exporter Helm chart using the K8s provider const nginxVtsExporterChart = new k8s.helm.v3.Chart("nginx-vts-exporter", { chart: "nginx-vts-exporter", version: "0.6.1", // Specify the version of the Helm chart here fetchOpts:{ repo: "https://helm.nginx.com/stable", // Replace with the chart repository URL }, }, { provider: k8sProvider }); // Export the Helm chart resources export const nginxVtsExporterResources = nginxVtsExporterChart.resources;

    This program does the following:

    • It creates a new GKE cluster with a single node of type n1-standard-1. You can adjust the machine type and the number of nodes based on your requirements.
    • It exports the cluster name and the kubeconfig contents that are used to communicate with the GKE cluster from your local machine.
    • It creates a new instance of the Kubernetes provider that uses the exported kubeconfig.
    • It deploys the nginx-vts-exporter Helm chart onto the GKE cluster using the specified version and repository.

    Remember to replace "https://helm.nginx.com/stable" with the actual repository URL hosting the nginx-vts-exporter chart if different, and specify the correct version in the version field.

    After writing this program, you will run it using the Pulumi CLI to provision the GKE cluster and deploy the Helm chart. The resources created by the Helm chart are exported as nginxVtsExporterResources, so you can inspect them using the Pulumi CLI after deployment.

    For more detailed Pulumi documentation on deploying to GKE, visit the Pulumi's GKE guide. For more information about deploying Helm charts with Pulumi, you can review the Pulumi Kubernetes provider.