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


    To deploy a Node.js application using Helm on Google Kubernetes Engine (GKE), we must perform the following steps:

    1. Set up a GKE cluster.
    2. Deploy the Helm chart for our Node.js application to the GKE cluster.

    In Pulumi, we define our infrastructure as code using classes and functions from specific Pulumi packages. For this task, we'll use the @pulumi/gcp package to create the GKE cluster and the @pulumi/kubernetes package to deploy the Node.js application using Helm.

    Below is a Pulumi TypeScript program that outlines these steps. To understand the flow of the program, follow the inline comments which explain each part of the process.

    Firstly, make sure you have Pulumi and the GCP SDK installed and your GCP credentials configured. You can install the required Pulumi packages using npm or yarn:

    npm install @pulumi/gcp @pulumi/kubernetes


    yarn add @pulumi/gcp @pulumi/kubernetes

    Now, let's define our infrastructure.

    import * as pulumi from '@pulumi/pulumi'; import * as gcp from '@pulumi/gcp'; import * as k8s from '@pulumi/kubernetes'; // Create a GKE cluster const cluster = new gcp.container.Cluster("gke-cluster", { initialNodeCount: 2, nodeConfig: { preemptible: true, machineType: "n1-standard-1", }, }); // Export the Cluster name and Kubeconfig export const clusterName = cluster.name; 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: client-certificate-data: ${masterAuth.clientCertificate} client-key-data: ${masterAuth.clientKey} `; }); // Instantiate the Kubernetes provider using the generated kubeconfig from the GKE cluster const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the Helm chart for the Node.js application const nodeAppChart = new k8s.helm.v3.Chart("node-app", { chart: "node", version: "1.0.0", // specify the version of the chart if necessary fetchOpts: { repo: "http://charts.example.com/", // replace with the URL of the Helm chart repository containing the Node.js chart }, }, { provider: k8sProvider }); // Export the status of the deployed Helm chart export const nodeAppStatus = nodeAppChart.status;

    This program will do the following:

    • Import the necessary Pulumi modules.
    • Create a new GKE cluster with a specified machine type and node count.
    • Generate a kubeconfig file to interact with the GKE cluster using Kubernetes-based tools.
    • Instantiate an instance of the Kubernetes provider using the kubeconfig of the GKE cluster.
    • Use the Kubernetes provider to deploy a Helm chart for the Node.js application.

    Remember to replace http://charts.example.com/ with the URL of the Helm chart repository containing the Node.js chart you want to deploy.

    After writing down this code in a TypeScript file (e.g., index.ts), you can run it with Pulumi by executing the following command in your terminal:

    pulumi up

    This will prompt Pulumi to provision the resources defined in the code. Make sure you have selected the appropriate Pulumi stack and configured it with your GCP project and zone settings.

    Once the deployment is completed, you will have your Node.js application running on a GKE cluster managed by Pulumi.