1. Deploy the longhorn-monitoring helm chart on Google Kubernetes Engine (GKE)


    To deploy the longhorn-monitoring Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you'll need to perform the following steps:

    1. Set up a GKE cluster: Before you can deploy any applications via Helm, you need to have a Kubernetes cluster running. Google Kubernetes Engine offers managed Kubernetes clusters that are easy to scale and operate.

    2. Install the Helm chart: A Helm chart is a collection of pre-configured Kubernetes resources that can be deployed as a single unit. You will install the longhorn-monitoring chart to your GKE cluster, which will set up monitoring for Longhorn, a cloud-native distributed storage system built on Kubernetes.

    Here's a Pulumi program in TypeScript that demonstrates these steps:

    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 cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { preemptible: true, 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 `; }); // Step 2: Set up the Helm Chart for Longhorn Monitoring const longhornMonitoringChart = new k8s.helm.v3.Chart("longhorn-monitoring", { chart: "longhorn", version: "1.1.0", // Replace with the actual chart version you want to deploy fetchOpts: { repo: "https://charts.longhorn.io", }, values: { monitoring: { // Provide configuration for monitoring according to your needs // This is just an example value structure; you'll need to consult the Longhorn monitoring chart's values for actual configuration options enabled: true, serviceMonitor: { interval: "30s", scrapeTimeout: "30s", }, }, }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig }) }); // Export the name of the Helm release export const helmReleaseName = longhornMonitoringChart.releaseName;

    Explanation of the Code:

    1. GKE Cluster Setup:

      • Using the @pulumi/gcp package, we create a GKE cluster with 2 nodes (initialNodeCount: 2).
      • The nodeConfig section is where we specify the type of machine (machineType: "n1-standard-1") and the access scopes needed for the nodes.
      • We've also enabled pre-emptible instances to save cost, which are cheaper but may be terminated by GCP at any time.
    2. Exporting Cluster Name and Kubeconfig:

      • We export the name of the cluster using export const clusterName.
      • The kubeconfig needed to interact with the cluster programmatically is generated and exported as kubeconfig. It's constructed using information such as the cluster endpoint and the master's auth credentials.
    3. Helm Chart for Longhorn Monitoring:

      • Using the @pulumi/kubernetes package, we deploy a Helm chart with a specified version and values.
      • In the values section of the Helm chart, monitoring is enabled and configured. The configuration provided in values is just for illustration; you should use the appropriate values that match the Longhorn monitoring chart's settings and your requirements.
      • We specify the Kubernetes provider with the kubeconfig we exported earlier to ensure proper authentication and authorization against the GKE cluster when deploying the Helm chart.

    To use this program:

    • Install Pulumi and set up the GCP CLI with credentials.
    • Save this code in a file, for example index.ts.
    • Run pulumi up to preview and deploy the resources.
    • After the deployment, use the exported kubeconfig to manage your cluster with kubectl or other Kubernetes tools.