1. Deploy the chaoskube helm chart on Google Kubernetes Engine (GKE)


    To deploy the chaoskube Helm chart on a Google Kubernetes Engine (GKE) cluster using Pulumi, you will need to follow these steps:

    1. Set up a new GKE cluster or use an existing one.
    2. Install the Helm chart for chaoskube on the cluster.

    The following Pulumi program in TypeScript shows you how to do this. The code is composed of two main parts:

    • The first part creates a new GKE cluster using Pulumi's gcp.container.Cluster resource. If you already have an existing cluster, you can skip this part and configure the Helm chart installation to use your existing cluster.
    • The second part installs the chaoskube Helm chart to the GKE cluster using Pulumi's kubernetes.helm.v3.Chart resource.

    Before running this program, you should have the following prerequisites met:

    • Pulumi CLI installed and configured with the appropriate credentials for Google Cloud and Kubernetes.
    • Node.js and npm installed to run the Pulumi program.
    • Access to a Google Cloud project, and the GKE API should be enabled for that project.

    Here is the detailed Pulumi program for deploying chaoskube on GKE:

    import * as gcp from "@pulumi/gcp"; import * as kubernetes from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const cluster = new gcp.container.Cluster("pulumi-gke-cluster", { initialNodeCount: 2, 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 using kubectl 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 provider for the above instantiated cluster const gkeProvider = new kubernetes.Provider("gkeProvider", { kubeconfig: kubeConfig, }); // Deploy the chaoskube Helm chart onto the GKE cluster using the Helm provider const chaoskubeChart = new kubernetes.helm.v3.Chart("chaoskube", { chart: "chaoskube", version: "0.23.0", // Specify the version of the chart you want to deploy fetchOpts: { repo: "https://helm.robusta.dev", }, }, { provider: gkeProvider }); // Export the Helm chart name export const chaoskubeChartName = chaoskubeChart.releaseName;

    This program creates a new GKE cluster with two nodes, each of type n1-standard-1. The nodes will have the required OAuth scopes for GCP services and the latest Kubernetes version available. The output of the program includes the cluster name and KubeConfig which can be used with kubectl to manage the Kubernetes resources directly.

    Once the cluster is up and running, the program configures a kubernetes.Provider for Pulumi to interact with the Kubernetes API server. Then it installs the chaoskube Helm chart from the specified Helm repository into the cluster. The chaoskube Helm chart version used in this example is 0.23.0. You can change the version attribute to match the version you wish to deploy.

    When you are ready to deploy the Pulumi program, you can run the following commands:

    pulumi stack init dev pulumi up

    These commands will initiate a new stack, which is an isolated environment for your Pulumi resources, and deploy the resources defined in the Pulumi program. After running pulumi up, you will be shown a preview of the resources that will be created. If everything looks correct, confirm the deployment to create the resources. Once the deployment is complete, Pulumi will output the clusterName and chaoskubeChartName.

    Please ensure that you have the necessary permissions for the Google Cloud resources and services before executing this program. You can always modify the program as per your requirements and the resources you already have.