1. Deploy the pritunl-vpn helm chart on Google Kubernetes Engine (GKE)


    To deploy the Pritunl VPN Helm chart on a Google Kubernetes Engine (GKE) cluster, we'll follow these general steps:

    1. Create a GKE cluster using the google-native.container.v1beta1.Cluster resource.
    2. Use the kubernetes.helm.sh/v3.Release resource to deploy the Helm chart to the GKE cluster.

    First, you will need to have Pulumi installed and configured for use with your Google Cloud account. You'll also need to have kubectl installed and configured to communicate with GKE clusters.

    Below is a Pulumi program written in TypeScript that will create a GKE cluster and deploy the Pritunl VPN Helm chart to that cluster.

    Make sure to have the @pulumi/kubernetes, @pulumi/gcp, and @pulumi/google-native packages installed to be able to use their respective resources.

    import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; import * as gcp from "@pulumi/gcp"; import * as googleNative from "@pulumi/google-native"; // Create a GCP project and network for the GKE cluster const projectName = "pritunl-vpn-project"; const project = new googleNative.resourcemanager.v3.Project(projectName, { projectId: projectName, }); const network = new googleNative.compute.v1.Network("network", { autoCreateSubnetworks: true, }); // Create a GKE cluster in the project const clusterName = "pritunl-vpn-cluster"; const cluster = new googleNative.container.v1beta1.Cluster(clusterName, { // Refer to Google GKE documentation for additional configuration options project: project.projectId, location: "us-central1", initialNodeCount: 1, nodeConfig: { machineType: "n1-standard-1", // Adjust the machine type based on your requirements oauthScopes: [ "https://www.googleapis.com/auth/cloud-platform", ], }, }); // Create a Kubernetes Provider pointing to the newly created GKE cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: pulumi.all([cluster.name, cluster.endpoint, cluster.masterAuth]).apply(([name, endpoint, auth]) => { const context = `${project.projectId}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${auth.clusterCaCertificate} server: https://${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 `; }), }, { dependsOn: cluster }); // Deploy the Pritunl VPN Helm chart const pritunlChart = new k8s.helm.v3.Chart("pritunl-vpn", { chart: "pritunl", fetchOpts: { repo: "https://helm.pritunl.com", }, // Specify values or configuration for the Pritunl VPN Helm chart here // values: { ... }, }, { provider: k8sProvider }); // Export cluster name and Kubernetes config export const clusterNameOutput = cluster.name; export const kubeconfig = k8sProvider.kubeconfig;

    How does the above program work?

    • It sets up a new GCP project and network for our GKE cluster.
    • It then creates the GKE cluster with one node (initialNodeCount). The machine type used is n1-standard-1, but this can be changed according to the needs of your VPN deployment.
    • A k8s.Provider is created to configure kubectl to interact with our new GKE cluster.
    • Finally, the Pritunl VPN Helm chart is deployed using Pulumi's Kubernetes Helm Chart resource.

    This is a starting point for deploying Pritunl using Helm on GKE with Pulumi. Based on your use case, you may want to adjust the machine types, the number of nodes, and other cluster settings, as well as provide specific configurations to the Pritunl Helm chart using the values parameter in the Chart resource.

    After running pulumi up with the above code, Pulumi will provision the GKE cluster and deploy the Pritunl VPN Helm chart to that cluster. If you're new to Helm, it's a package manager for Kubernetes that allows users to more easily distribute and manage applications on Kubernetes clusters. The Pritunl Helm chart would package all deployment complexities of Pritunl into a pre-configured resource that you can modify through chart values.