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

    TypeScript

    To deploy the FusionAuth Helm chart on Google Kubernetes Engine (GKE), we will follow these steps:

    1. Set up a GKE cluster.
    2. Install the Helm chart for FusionAuth.

    Firstly, you will need a GKE cluster, so we will use the gcp.container.Cluster resource to provision a new Kubernetes cluster on Google Cloud. After creating the cluster, we will configure Pulumi to use the newly created cluster's credentials to deploy applications.

    Next, we will use the kubernetes.helm.sh/v3.Release resource to install the FusionAuth Helm chart. Helm is a package manager for Kubernetes, which allows us to deploy a pre-packaged application with all needed resources and configurations. Helm charts are the packaging format used by Helm.

    Below is a comprehensive TypeScript program that demonstrates how to use Pulumi to create a GKE cluster and deploy FusionAuth to it:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a new GCP project and GKE cluster for our application. const project = new gcp.organizations.Project("fusionauth-project", { name: "fusionauth-project", projectId: "fusionauth-project-id", }); const cluster = new gcp.container.Cluster("fusionauth-cluster", { initialNodeCount: 2, minMasterVersion: "latest", // Ensure the version is compatible with FusionAuth helm chart 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 and kubeconfig export const clusterName = cluster.name; export const kubeConfig = cluster.name.apply(name => { return gcp.container.getCluster({ name: name, location: cluster.location, }, { async: true }).then(cluster => { const context = `${gcp.config.project}_${gcp.config.zone}_${name}`; return `apiVersion: v1 clusters: - cluster: certificate-authority-data: ${cluster.masterAuth.clusterCaCertificate} server: https://${cluster.endpoint} name: ${context} contexts: - context: cluster: ${context} user: ${context} name: ${context} current-context: ${context} kind: Config preferences: {} users: - name: ${context} user: auth-provider: config: cmd-args: config config-helper --format=json cmd-path: gcloud expiry-key: '{.credential.token_expiry}' token-key: '{.credential.access_token}' name: gcp `; }); }); // Now deploy FusionAuth with the Helm chart const fusionAuthRelease = new k8s.helm.v3.Release("fusionauth", { chart: "fusionauth", version: "0.1.0", // specify the chart version repositoryOpts: { repo: "https://fusionauth.github.io/charts", }, values: { // Configure the necessary values for FusionAuth }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeConfig }) }); // Export the FusionAuth service URL export const fusionAuthUrl = pulumi.interpolate`http://${cluster.endpoint}:9011`;

    This program creates a GCP project and a GKE cluster with the gcp.container.Cluster resource. You may need to adjust the project, region, nodeCount, and machineType to match your requirements. The kubeConfig is retrieved to allow the Pulumi Kubernetes provider to interact with the cluster.

    Then, it deploys FusionAuth using the kubernetes.helm.sh/v3.Release resource, specifying the name of the chart and the repository where the chart is located. You can customize the values to provide any required configuration for FusionAuth based on your needs.

    To run this program:

    1. Install Pulumi if it isn't already installed.
    2. Set up the Pulumi CLI with your GCP credentials and select a profile to use.
    3. Create a new Pulumi project using the pulumi new command if needed.
    4. Copy the above program into index.ts in your Pulumi project directory.
    5. Run pulumi up to preview and deploy the changes.

    Please make sure to check the official FusionAuth Helm chart documentation for any specific configuration values you may need to change to suit your deployment needs.