1. Deploy the pypi-server helm chart on Azure Kubernetes Service (AKS)


    To deploy the pypi-server Helm chart on Azure Kubernetes Service (AKS), you'll need to perform a series of steps:

    1. Set up an AKS cluster: First, you'll need a Kubernetes cluster running on AKS. Pulumi allows you to define and create an AKS cluster using the azure-native package.

    2. Install the Pulumi Kubernetes provider: This is necessary to interact with your Kubernetes cluster and deploy the Helm chart.

    3. Deploy the Helm chart to your AKS cluster: Once your AKS cluster is up and running, you can use the Pulumi Kubernetes (kubernetes) package to deploy the pypi-server Helm chart.

    Below is the detailed TypeScript program that performs these steps:

    import * as azure from "@pulumi/azure-native"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Create an Azure Resource Group for organising the resources const resourceGroup = new azure.resources.ResourceGroup("resourceGroup"); // Create an AKS cluster. const aksCluster = new azure.containerservice.ManagedCluster("aksCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 1, // Default node count is 1 for simplicity; adjust as needed. vmSize: "Standard_DS2_v2", // Default is a small size; change as needed. name: "agentpool" // The name of the node pool. }], dnsPrefix: `${pulumi.getStack()}-kube`, }); // Export the AKS cluster kubeconfig. export const kubeconfig = aksCluster.kubeConfigRaw; // Create a Kubernetes provider with the kubeconfig we got from AKS cluster. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: aksCluster.kubeConfigRaw, }); // Create a Helm Release for the pypi-server. We assume that the chart is available in a Helm repo. const pypiServerChart = new k8s.helm.v3.Chart("pypi-server", { chart: "pypi-server", version: "1.2.3", // replace with the exact chart version you need fetchOpts: { repo: "http://charts.example.com/", // replace with the URL to Helm repo where pypi-server chart is located }, }, { provider: k8sProvider }); // Export the endpoint to access pypi-server. export const pypiServerEndpoint = aksCluster.fqdn.apply(fqdn => `http://${fqdn}:80`);

    Here's what each part of this program does:

    • The azure.resources.ResourceGroup creates a new resource group within Azure where all of our resources will be logically contained.

    • The azure.containerservice.ManagedCluster creates a new AKS cluster in the resource group we've defined above. You can adjust the count and vmSize of the agentPoolProfiles to match the desired capacity and performance characteristics of your AKS nodes.

    • The kubeconfig is the configuration needed to connect to your Kubernetes cluster with kubectl and other tools. It's exported so that you can use it outside of Pulumi as well.

    • The k8s.Provider is what ties the Kubernetes resources you define in Pulumi with the actual AKS cluster you created - it needs the kubeconfig to authenticate.

    • The k8s.helm.v3.Chart represents a Helm chart release. Helm is a package manager for Kubernetes and charts are packages. Here, we're installing a chart called pypi-server. The version and repo should be substituted with the specifics of the Helm chart you're looking to deploy.

    • Lastly, pypiServerEndpoint exports the fully qualified domain name (FQDN) of the Azure Kubernetes Cluster where the PyPI server is running. You can access your PyPI server at this endpoint.

    Please ensure you replace placeholders like http://charts.example.com/ with the actual values that you want to use.

    Before running this program, ensure you have installed the Pulumi CLI and the necessary Pulumi providers for Azure and Kubernetes. You also need to be logged in to your Azure account via Azure CLI.

    Note: Initial provisioning of an AKS cluster may take some time. After deploying this Pulumi program, you can use kubectl with the exported kubeconfig to manage your AKS cluster. Remember to handle your kubeconfig securely, as it provides administrator-level access to your Kubernetes cluster.