1. Deploy the fastapi-app helm chart on Google Kubernetes Engine (GKE)


    To deploy the fastapi-app Helm chart on Google Kubernetes Engine (GKE), we will go through the following steps:

    1. Create a GKE Cluster: First, we need to set up a Kubernetes cluster on GKE where our Helm chart will be deployed.
    2. Install the Helm Chart: Using Pulumi's Helm support, we will deploy the fastapi-app chart into our GKE cluster.

    For this, we’ll use the @pulumi/gcp package to create the GKE cluster and the @pulumi/kubernetes package to work with Kubernetes resources, including deploying the Helm chart.

    Here's a TypeScript Pulumi program that accomplishes both of the above steps:

    import * as pulumi from '@pulumi/pulumi'; import * as gcp from '@pulumi/gcp'; import * as k8s from '@pulumi/kubernetes'; // Step 1: Create a GKE cluster const cluster = new gcp.container.Cluster("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 cluster with 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}'`; }); // Step 2: Deploy the `fastapi-app` Helm chart into the created cluster const helmChart = new k8s.helm.v3.Chart("fastapi-app", { chart: "fastapi", version: "1.0.0", // Specify the version of the chart if required // Replace 'exampleRepo' with the actual repository that hosts the 'fastapi-app' chart. // If 'fastapi-app' is a local chart, you can set `path: "./path-to-your-chart"`. fetchOpts: { repo: "http://exampleRepo/chart" }, }, { provider: new k8s.Provider("k8s-provider", { kubeconfig })}); // Export the Helm chart resources export const helmChartResources = helmChart.resources;


    • We import the required Pulumi libraries for GCP and Kubernetes.
    • We create a GKE cluster with a specified machine type and certain OAuth scopes for the nodes.
    • We then export the cluster name and a kubeconfig, which is used to communicate with the cluster using tools like kubectl or Pulumi's Kubernetes provider.
    • We deploy a Helm chart named fastapi-app from a hypothetical http://exampleRepo/chart repository.
    • We instantiate a Kubernetes provider with this kubeconfig, which Pulumi uses to communicate with the created GKE cluster.
    • Finally, we export the resources created by the Helm chart for visibility.

    Ensure you replace "http://exampleRepo/chart" with the actual repository URL that contains your fastapi-app chart, and specify the correct version if necessary.

    After running this program with Pulumi, you should have the fastapi-app Helm chart deployed on a GKE cluster. You can then proceed to manage and interact with your FastAPI application running within that cluster.