1. Deploy the pypi-server helm chart on Digital Ocean Kubernetes Service


    To deploy the pypi-server Helm chart on DigitalOcean Kubernetes Service (DOKS), you will need to perform a few steps that involve creating a Kubernetes cluster on DigitalOcean and then deploying the chart to that cluster using the Pulumi Kubernetes provider. We will be using the digitalocean and kubernetes Pulumi packages to achieve this.

    Below is a step-by-step guide and the accompanying Pulumi program written in TypeScript. Here are the steps the code will follow:

    1. Set up a new Pulumi stack that references the necessary DigitalOcean and Kubernetes Pulumi packages.
    2. Use the digitalocean.KubernetesCluster resource to create a new Kubernetes cluster in your DigitalOcean account.
    3. Configure the Kubernetes provider to use the newly created DigitalOcean Kubernetes cluster.
    4. Deploy the pypi-server Helm chart to the DigitalOcean Kubernetes cluster using the kubernetes.helm.v3.Chart resource.

    Before you can run the Pulumi program, make sure you have the following prerequisites met:

    • You have a DigitalOcean account.
    • You have installed and configured Pulumi. The Pulumi CLI should be authenticated with your DigitalOcean account.
    • You have configured your DigitalOcean token with Pulumi using the pulumi config set digitalocean:token <YOUR_DO_TOKEN> command.
    • You have Node.js and npm installed because the program below is written in TypeScript which requires Node.js to execute.

    Here is the detailed program:

    import * as pulumi from "@pulumi/pulumi"; import * as digitalocean from "@pulumi/digitalocean"; import * as k8s from "@pulumi/kubernetes"; // Create a DigitalOcean Kubernetes cluster. const clusterName = "pypi-server-cluster"; const cluster = new digitalocean.KubernetesCluster(clusterName, { region: digitalocean.Regions.NYC3, // Choose the region that works best for you. version: "1.21.5-do.0", // Specify the desired Kubernetes version. nodePool: { name: "pypi-server-nodepool", size: digitalocean.DropletSlugs.DropletS2VCPU2GB, // Choose the node size that fits your workloads. nodeCount: 3, // Set the number of nodes you want in your node pool. tags: ["pypi-server"], }, }); // Create a Kubernetes provider instance configured to the DigitalOcean Kubernetes cluster. // This provider instance is used to deploy Helm charts on the cluster. const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: cluster.kubeConfigs[0].rawConfig, }); // Deploy the pypi-server Helm chart on the DigitalOcean Kubernetes cluster. const pypiServerChart = new k8s.helm.v3.Chart("pypi-server-chart", { chart: "pypi-server", // For Helm charts not from the default repository, you need to provide the exact chart URL or repo. // Ensure that you provide the correct repository or URL and version for the pypi-server Helm chart. fetchOpts: { repo: "https://somerepo/helm/charts/", // Replace with the pypi-server Helm chart repository URL. }, // You can provide additional configuration options for your pypi-server deployment here. values: { // Define any specific values you want to pass to the Helm chart. }, }, { provider: k8sProvider }); // Export the Kubernetes cluster name and the endpoint to access the pypi-server application. export const kubeClusterName = clusterName; export const pypiServerEndpoint = pulumi.interpolate`${pypiServerChart.status.loadBalancer.ingress[0].hostname}`;


    • The digitalocean.KubernetesCluster resource is used to spin up a new Kubernetes cluster in your specified DigitalOcean region.
    • The k8s.Provider resource is responsible for reading the kubeconfig of the created cluster, which allows us to deploy to the cluster.
    • The k8s.helm.v3.Chart resource installs the pypi-server Helm chart into the cluster. Make sure you replace https://somerepo/helm/charts/ with the actual repository URL for the pypi-server Helm chart, as well as specify any custom values you would like to configure.
    • Output variables kubeClusterName and pypiServerEndpoint are exported so you can easily obtain the name of your Kubernetes cluster and the endpoint at which your PyPi server is accessible after deployment.

    To run this program:

    1. Save the program in a file named index.ts.
    2. Run pulumi up in your terminal and confirm the changes to deploy your PyPi server.

    Remember to replace placeholders in the program with actual values where necessary, particularly the repository URL for the pypi-server Helm chart.