1. Deploy the rke2-canal helm chart on Google Kubernetes Engine (GKE)


    In this program, we will deploy an RKE2 Canal Helm chart to a Google Kubernetes Engine (GKE) cluster using Pulumi with TypeScript.

    Canal is a community-driven project that combines Flannel and Calico to provide both overlay networking and network policy. The rke2-canal Helm chart installs this combined networking and network policy provider for Kubernetes.

    Before we begin, ensure you have the following prerequisites in place:

    • Pulumi CLI installed
    • Access to a Google Cloud Platform (GCP) account
    • GCP configured with Pulumi via pulumi config set gcp:project PROJECT_NAME and similar commands for setting the region and zone
    • Helm CLI installed (for managing Helm charts)

    Now, let's create a Pulumi program to provision a GKE cluster and deploy the rke2-canal Helm chart onto it.

    To accomplish this, we'll take the following steps in our program:

    1. Provision a GKE cluster using @pulumi/gcp module which provides native resources to interface with GCP.
    2. Use the @pulumi/kubernetes module to interact with Kubernetes resources, including deploying Helm charts.

    Here is the Pulumi program written in TypeScript to perform the required steps:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1: Provision a GKE cluster. // Details: This will create a GKE cluster with default settings which can be customized as needed. // Replace these variables with appropriate values if needed. const gkeClusterName = "rke2-canal-cluster"; const gcpProject = pulumi.config.require("gcp:project"); const gcpZone = pulumi.config.require("gcp:zone"); const cluster = new gcp.container.Cluster(gkeClusterName, { initialNodeCount: 2, minMasterVersion: "latest", nodeVersion: "latest", location: gcpZone, project: gcpProject, }); // Export the Cluster name and Kubeconfig export const kubeconfig = cluster.name.apply(name => { return cluster.endpoint.apply(endpoint => { return cluster.masterAuth.apply(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: client-certificate-data: ${masterAuth.clientCertificate} client-key-data: ${masterAuth.clientKey} token: ${masterAuth.password} `; }); }); }); // Step 2: Deploy the rke2-canal Helm chart to the provisioned GKE cluster using the kubeconfig. // Details: We are using the K8s provider to interact with the GKE cluster and deploy the Helm chart. // Create a Kubernetes provider instance that uses our kubeconfig. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the rke2-canal Helm chart using the Kubernetes provider created above. const canalChart = new k8s.helm.v3.Chart("rke2-canal", { chart: "rke2-canal", version: "latest", // Use the desired chart version fetchOpts: { repo: "https://helm.rancher.io", // The repository where the rke2-canal chart is located }, }, { provider: k8sProvider }); // Export the GKE cluster name and the rke2-canal Helm chart status export const gkeClusterStatus = cluster.status; export const canalChartStatus = canalChart.status;

    This program starts by importing the necessary Pulumi Google Cloud Platform (@pulumi/gcp) and Kubernetes (@pulumi/kubernetes) modules. The @pulumi/pulumi module is imported for core Pulumi functionalities.

    In the gkeClusterName variable, we define the name of our GKE cluster. The program assumes that the GCP project and zone information have been set in the Pulumi configuration.

    We create a new GKE cluster with a defined initial node count, Kubernetes master version and location. The kubeconfig is then constructed using the cluster details which will be used to interact with the GKE cluster through Kubernetes commands.

    Next, we instantiate a new Provider which is needed to handle Kubernetes resources. This provider references the kubeconfig we exported from the GKE cluster output.

    In the last section, we deploy the rke2-canal Helm chart to the GKE cluster using the instance of the Kubernetes provider. The repo option specifies the Helm chart repository location.

    The program exports the GKE cluster status and the rke2-canal Helm chart status. These can be monitored using the pulumi up command's output.

    To execute this Pulumi program:

    1. Save the above code in a file with a .ts extension (e.g., index.ts).
    2. Open your terminal, navigate to the directory containing your file, and run pulumi up.
    3. Follow the on-screen prompts to deploy your resources.

    It will create a GKE cluster and deploy the rke2-canal Helm chart onto that cluster. Keep in mind, you need access rights to create resources in your GCP account, and it may incur costs.