1. Deploy the helm-mongodb-operator helm chart on Google Kubernetes Engine (GKE)


    To deploy a Helm chart for the MongoDB Operator on a Google Kubernetes Engine (GKE) cluster using Pulumi, you'll need to follow these steps:

    1. Set up a new GKE cluster or ensure you have access to an existing cluster.
    2. Deploy the MongoDB Operator Helm chart to the GKE cluster.

    We'll use the Pulumi google-native provider to create a GKE cluster. Once the cluster is available, we'll configure Pulumi to use the Kubernetes provider, which allows us to deploy Helm charts to a Kubernetes cluster.

    First, ensure you have already set up your Pulumi environment with appropriate credentials to interact with Google Cloud, and you have the pulumi CLI installed.

    Here's a Pulumi program in TypeScript that accomplishes these tasks:

    import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a GKE cluster const cluster = new gcp.container.Cluster("mongo-cluster", { initialNodeCount: 3, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { // Specify the amount of memory and CPU each node will have 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 Cluster kubeconfig 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 `; }); // Create a Kubernetes provider instance that uses our cluster from above. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig, }); // Deploy MongoDB Operator Helm chart using the new K8s provider const mongoDbOperator = new k8s.helm.v3.Chart( "mongodb-operator", { chart: "mongodb-operator", version: "0.2.0", fetchOpts:{ // Replace with the repository where your desired Helm chart is located. repo: "https://mongodb.github.io/helm-charts", }, }, { provider: k8sProvider } ); // Export the MongoDB Operator Helm chart deployment status export const mongoDbOperatorStatus = mongoDbOperator.status;

    This program performs the following actions:

    1. It imports the necessary Pulumi modules for Google Cloud (gcp), Kubernetes (k8s), and the base Pulumi module (pulumi).
    2. It configures and creates a new GKE cluster with 3 nodes using the n1-standard-1 machine type. The nodes have the required OAuth scopes to interact with Google Cloud services.
    3. It exports the GKE cluster's name and generates a kubeconfig file that will be used to interact with the Kubernetes cluster.
    4. It creates a Kubernetes provider that is configured to use the kubeconfig from the GKE cluster we created.
    5. It deploys the MongoDB Operator Helm chart to the GKE cluster using the k8s.helm.v3.Chart resource of the Kubernetes provider we set up.
    6. It exports the MongoDB Operator Helm chart's deployment status.

    To run this program:

    • Place the code in a file with a .ts extension, for example index.ts.
    • Run pulumi up from your command line in the directory where you've saved the file to create the resources.

    Make sure you have gcloud CLI installed and configured as the code uses gcloud to fetch credentials for kubeconfig generation.