1. Deploy the ibm-nodejs-express helm chart on Digital Ocean Kubernetes Service


    To deploy a Helm chart of ibm-nodejs-express on DigitalOcean Kubernetes Service using Pulumi, you'll follow these general steps:

    1. Set up a new Pulumi project and select the DigitalOcean cloud provider.
    2. Provision a DigitalOcean Kubernetes cluster.
    3. Deploy the ibm-nodejs-express Helm chart on the provisioned Kubernetes cluster.

    Below is a TypeScript program that defines these steps. We'll be using the @pulumi/digitalocean package to create the Kubernetes cluster on DigitalOcean and the @pulumi/kubernetes package to deploy the Helm chart.

    Before you can run this program, make sure you have Pulumi installed and you are authenticated with DigitalOcean (either via the doctl CLI or by setting the DIGITALOCEAN_ACCESS_TOKEN environment variable).

    Here's the TypeScript program that establishes the deployment:

    import * as digitalocean from "@pulumi/digitalocean"; import * as kubernetes from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Create a DigitalOcean Kubernetes cluster const cluster = new digitalocean.KubernetesCluster("do-cluster", { // Specify the region where you want to create your cluster region: "nyc3", // Define the version of Kubernetes version: "1.21.x", // Configure the node pool nodePool: { size: "s-1vcpu-2gb", name: "default", nodeCount: 2, }, }); // Once the cluster is created, we can use its kubeconfig to connect to it const provider = new kubernetes.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the ibm-nodejs-express Helm chart const chart = new kubernetes.helm.v3.Chart("ibm-nodejs-express-chart", { chart: "ibm-nodejs-express", // Specify the repository containing the chart fetchOpts: { repo: "https://charts.your-repository.org/", }, // Specify the namespace (optional, defaults to 'default' if not set) namespace: "production", }, { provider }); // Export the DigitalOcean Kubernetes cluster's name and endpoint export const cluster_name = cluster.name; export const cluster_endpoint = cluster.endpoint;


    1. We start by importing the required libraries from Pulumi, specifically the @pulumi/digitalocean for provisioning resources on DigitalOcean and @pulumi/kubernetes for working with Kubernetes resources.

    2. We create a DigitalOcean Kubernetes cluster object with new digitalocean.KubernetesCluster. In this case, it's named do-cluster. The region, Kubernetes version, node size (the size of the droplets), and node count are specified in the configurations.

    3. We instantiate a Kubernetes provider utilizing the Kubeconfig provided by the DigitalOcean cluster, which is needed to communicate with the cluster.

    4. Next, we deploy the ibm-nodejs-express Helm chart using the @pulumi/kubernetes library. We specify that we want to use the chart called ibm-nodejs-express and provide the URL to the Helm repository that hosts the chart. The namespace field is an optional parameter that will place our Helm chart into the production namespace on our cluster.

    5. Finally, we export the cluster's name and endpoint as stack outputs. These outputs allow us to easily retrieve information about the deployed infrastructure, such as how to access the Kubernetes API server later.

    To run the program:

    1. Save the code in a file named index.ts.
    2. Install the required packages using NPM:
      • npm install @pulumi/pulumi @pulumi/digitalocean @pulumi/kubernetes
    3. Run pulumi up to preview and deploy the changes. Pulumi CLI will show a preview of the resources that will be created and ask for confirmation before provisioning those resources.

    Remember that this code assumes that the Helm chart ibm-nodejs-express is available in the specified repository. If the chart is hosted in a different Helm repository, you will need to adjust the repo field in the fetchOpts accordingly.

    Once the deployment is successful, you should be able to access your ibm-nodejs-express application running on your DigitalOcean Kubernetes cluster.