1. Deploy the mongo-gui helm chart on Google Kubernetes Engine (GKE)


    Deploying a Helm chart on Google Kubernetes Engine (GKE) with Pulumi is a multi-step process. We first create a GKE cluster and then deploy the Helm chart to the cluster. We'll use the Pulumi GCP (gcp) and Kubernetes (@pulumi/kubernetes) packages.

    Let's break this down into two main parts:

    1. Provisioning the GKE cluster:

      • We'll use the gcp.container.Cluster class to create a new cluster.
      • Provide the necessary parameters like the zone, initial node count, and the machine type for nodes.
    2. Deploying the Helm chart:

      • We'll use the @pulumi/kubernetes package to connect to the GKE cluster we've just provisioned.
      • We'll use the helm.v3.Chart class to deploy the MongoDB GUI chart, which will pull the Helm chart from a chart repository and deploy it to the cluster.

    Now let's get to the program. The code below is structured to help you understand each section and what it does:

    import * as pulumi from "@pulumi/pulumi"; import * as gcp from "@pulumi/gcp"; import * as k8s from "@pulumi/kubernetes"; // Create a GKE cluster for our Helm chart. const cluster = new gcp.container.Cluster("mongo-gui-cluster", { initialNodeCount: 2, nodeVersion: "latest", minMasterVersion: "latest", nodeConfig: { machineType: "n1-standard-1", // You can choose the machine type that works best for you. 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; // Manufacture a GKE-style kubeconfig. Note that this is slightly "different" // because of the way GKE requires gcloud to be in the picture for cluster // authentication (it's not just plain kubeconfig). const kubeconfig = pulumi. all([cluster.name, cluster.endpoint, cluster.masterAuth]). apply(([name, endpoint, auth]) => { const context = `${gcp.config.project}_${gcp.config.zone}_${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 `; }); // Export the kubeconfig export const kubeConfigOutput = kubeconfig; // Create a Kubernetes provider instance that uses our cluster from above. const clusterProvider = new k8s.Provider("mongo-gui-cluster-provider", { kubeconfig: kubeconfig, }); // Deploy the mongo-gui Helm chart using the new instance of the Kubernetes provider. const chart = new k8s.helm.v3.Chart("mongo-gui", { chart: "mongo-gui", // This assumes that your Helm chart is available in the repository. Make sure to replace with the correct repository URL. fetchOpts:{ repo: "https://charts.bitnami.com/bitnami", } }, { provider: clusterProvider }); // Export the Helm chart name export const chartName = chart.name;

    Here's what each part of the code does:

    • Provision a GKE cluster: We define a new cluster using the gcp.container.Cluster class. Adjust the initialNodeCount and nodeConfig parameters based on your performance and cost considerations.
      • The kubeconfig is generated to authenticate kubectl commands against the new GKE cluster. This is necessary because GKE requires specific OAuth2 authentication.
    • Deploy the Helm chart: We use the k8s.helm.v3.Chart class to deploy the Helm chart.
      • The chart key specifies the name of the chart to deploy.
      • fetchOpts.repo should contain the URL of the Helm chart repository that contains the mongo-gui chart. Replace this with the appropriate URL for the Helm chart repository you're using.

    After running this program with Pulumi, you will have a GKE cluster and the mongo-gui Helm chart deployed to it.