1. Deploy the python-webapp helm chart on Azure Kubernetes Service (AKS)


    Certainly! To accomplish the deployment of a python-webapp Helm chart on Azure Kubernetes Service (AKS), you will perform several steps using Pulumi.

    First, you will create an AKS cluster by defining an instance of an AKS cluster resource. Once the cluster is provisioned, you will configure Pulumi to use the generated kubeconfig to interact with the cluster. Finally, you will deploy your python-webapp using a Helm chart which describes the desired state for your application on Kubernetes.

    The major Pulumi resources we will use are:

    • KubernetesCluster: This resource from the azure.containerservice package creates an AKS cluster. To create a cluster, we specify properties like node count, size, and Kubernetes version.

    • Chart: This resource from the kubernetes package deploys a Helm chart to the Kubernetes cluster. This simplifies deployment and management of applications on Kubernetes.

    Let's write this as a TypeScript program:

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure"; import * as k8s from "@pulumi/kubernetes"; // Define the desired properties for the AKS cluster const clusterName = "python-webapp-aks"; const k8sVersion = "1.18.14"; const nodeSize = "Standard_DS2_v2"; const nodeCount = 2; // Create the Azure Kubernetes Service (AKS) cluster const cluster = new azure.containerservice.KubernetesCluster(clusterName, { location: azure.Locations.WestUS2, resourceGroupName: "<resource-group-name>", // Replace with your resource group name kubernetesVersion: k8sVersion, defaultNodePool: { vmSize: nodeSize, nodeCount: nodeCount }, dnsPrefix: `${pulumi.getStack()}-kube`, identity: { type: "SystemAssigned" } }); // Export the kubeconfig so that the Kubernetes provider can use it export const kubeconfig = cluster.kubeConfigRaw; // Create a Kubernetes provider instance that uses the generated kubeconfig from AKS const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: cluster.kubeConfigRaw, }); // Deploy the python-webapp Helm chart using the kubernetes provider const chart = new k8s.helm.v3.Chart("python-webapp", { chart: "python-webapp", // Assuming 'python-webapp' is the name of your chart version: "1.0.0", // Replace with the desired chart version fetchOpts: { repo: "http://example.com/charts", // Replace with the correct Helm repo URL }, }, { provider: k8sProvider }); // Export the endpoint of the web app export const webAppEndpoint = cluster.endpoint;

    In the above program, we have done the following:

    • Created an AKS cluster named python-webapp-aks with the given version, node size, and node count.
    • Configured Pulumi to use the kubeConfigRaw output from our AKS cluster resource which allows it to interact with our AKS cluster.
    • Used a Helm chart resource to deploy the python-webapp chart to our AKS cluster. Make sure to replace the placeholder values with actual values that correspond to your Helm chart, such as the repo URL and chart version.

    You'll replace placeholders like <resource-group-name> with actual values specific to your Azure setup.

    Also, the given example assumes:

    • You've configured your Pulumi to connect to your Azure account. If not, please follow the Pulumi Azure setup guide.
    • The Helm chart for python-webapp exists and includes all the necessary Kubernetes resources definitions needed for running your Python web application.

    You would need to install the npm packages @pulumi/pulumi, @pulumi/azure, and @pulumi/kubernetes to run this program successfully.

    The webAppEndpoint export will provide the endpoint of the AKS cluster where your python-webapp will be accessible after deployment is completed.

    Please let me know if you need further information on any of these steps or any additional context.