1. Deploy the k8s-spot-rescheduler helm chart on Google Kubernetes Engine (GKE)


    To deploy the k8s-spot-rescheduler Helm chart on Google Kubernetes Engine (GKE), you'll need to perform the following steps:

    1. Create a GKE Cluster: Before you can deploy the Helm chart, you need a Kubernetes cluster. You will use Pulumi to provision a new GKE cluster.

    2. Configure kubectl: Once the cluster is created, you need to configure kubectl to interact with the new cluster.

    3. Install Helm: Helm is a package manager for Kubernetes, which you will use to install the k8s-spot-rescheduler chart.

    4. Deploy the Helm Chart: With Helm installed and configured, you deploy the chart to your GKE cluster.

    Below is a Pulumi program written in TypeScript that performs these steps. The program uses the gcp package to create GKE cluster resources and the kubernetes package for Helm chart deployment.

    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("gke-cluster", { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "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; // Obtain the Kubeconfig after cluster creation to interact with the 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: Configure the Kubernetes provider to use the generated kubeconfig const k8sProvider = new k8s.Provider("gke-k8s", { kubeconfig: kubeconfig, }); // Step 3: Install the Helm chart for the k8s-spot-rescheduler const spotReschedulerChart = new k8s.helm.v3.Chart("k8s-spot-rescheduler", { chart: "k8s-spot-rescheduler", version: "1.0.0", // replace with actual chart version fetchOpts: { repo: "http://charts.example.com/", // replace with the actual Helm repo URL } }, { provider: k8sProvider }); // Export the Helm chart name export const spotReschedulerChartName = spotReschedulerChart.releaseName;

    Here's what each part of the program does:

    • GKE Cluster Creation: We create a GKE cluster with a predefined number of nodes. Preemptible nodes are chosen here because the k8s-spot-rescheduler is often used in combination with preemptible nodes to help reschedule pods when preemptible instances are reclaimed.

    • Kubeconfig Generation: After the GKE cluster is provisioned, we generate a kubeconfig file that kubectl and Pulumi can use to interact with the cluster.

    • Kubernetes Provider Configuration: This tells Pulumi how to communicate with the new GKE cluster. It uses the kubeconfig from the previous step.

    • Helm Chart Deployment: We define a Helm chart resource to deploy. You should replace the chart, version, and repo with the actual details of the k8s-spot-rescheduler Helm chart.

    To run this program, you'll need to have Pulumi installed and set up with the appropriate GCP credentials. Then, you can run pulumi up to perform the deployment. The program will provision the resources in the correct order and output the names of the created GKE cluster and Helm deployment.