1. Deploy the route53-kubernetes helm chart on Google Kubernetes Engine (GKE)


    Deploying a Helm chart on Google Kubernetes Engine (GKE) involves several steps. We'll go through them systematically to ensure you have a clear understanding.

    1. Set up a GKE cluster: You need a Kubernetes cluster on GKE to deploy any applications using Helm. We will create a GKE cluster using the google-native.container/v1beta1.Cluster resource.

    2. Install Helm in your environment: Helm must be installed in your environment to manage the deployments.

    3. Deploy the Helm chart: Once Helm is installed, and the GKE cluster is ready, we can use the Helm chart to deploy route53-kubernetes. We will use the kubernetes.helm.sh/v3.Release resource to perform the deployment.

    Let's break down the Pulumi program. Here is a TypeScript example showing how to set up a GKE cluster and deploy a Helm chart:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster for our Helm chart deployment. const cluster = new gcp.container.Cluster("my-gke-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "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 GKE 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 `; }); // Use the GKE cluster's kubeconfig to create a Provider which we will use to deploy the Helm chart. const provider = new k8s.Provider("my-gke-provider", { kubeconfig: kubeconfig, }); // Deploy the Helm chart for route53-kubernetes. const route53Chart = new k8s.helm.v3.Chart("route53-kubernetes", { chart: "route53-kubernetes", version: "0.1.0", // replace with the desired chart version fetchOpts: { repo: "https://charts.example.com/", // replace with the Helm chart repository }, }, { provider: provider }); // Export the Helm chart deployment status export const helmChartStatus = route53Chart.status;

    In the code above:

    • We're importing the necessary Pulumi packages.
    • We create a GKE cluster with the gcp.container.Cluster resource.
    • We then export the kubeconfig needed for Kubernetes tooling to interact with the GKE cluster.
    • A k8s.Provider resource is used to specify the cluster where we will deploy the Helm chart.
    • We deploy the route53-kubernetes Helm chart using the k8s.helm.v3.Chart resource, which represents a Helm chart deployment.

    Important: Replace chart, version, and repo attributes with the correct information for the route53-kubernetes Helm chart you wish to deploy. The repository URL provided (https://charts.example.com/) is for illustration purposes and must be substituted with the actual URL of the Helm repository that hosts your desired chart.

    After setting up your Pulumi program with the code above, you can run the following commands:

    # Login to Pulumi (this example uses the Pulumi service backend) pulumi login # Create a new Pulumi stack, which is an isolated environment for your project pulumi stack init dev # Preview the deployment changes. Pulumi will show you the expected changes before they are applied pulumi up --yes

    This series of commands will prompt Pulumi to start provisioning the resources on GCP. The pulumi up --yes command actually applies changes: creating the GKE cluster and deploying the Helm chart. Remember to authenticate with GCP and configure gcloud CLI on your local machine beforehand.

    Once the deployment is completed, Pulumi will output the exported variables, such as clusterName and kubeconfig. You can use these outputs to interact with your GKE cluster using kubectl or other Kubernetes tools.