1. Deploy the empathyco-backstage helm chart on Azure Kubernetes Service (AKS)


    Deploying a Helm chart to Azure Kubernetes Service (AKS) involves several steps. You'll first need to set up an AKS cluster, configure your local environment to interact with Azure and your Kubernetes cluster, and then deploy the Helm chart.

    In Pulumi, this process is defined as code, generally TypeScript for this example. Below you'll find a program written in TypeScript that defines an AKS cluster and deploys the empathyco-backstage Helm chart to it.

    Detailed Steps:

    1. Set up an AKS Cluster: We define a managed Kubernetes cluster in Azure using the ProvisionedCluster resource from the azure-native package.
    2. Configure Kubernetes Provider: Pulumi needs a Kubernetes provider that is configured to communicate with the created AKS cluster.
    3. Deploy Helm Chart: Using the Chart resource from the kubernetes package, we'll deploy the empathyco-backstage Helm chart to the AKS cluster. The Helm chart should be available in a public or private repository for Pulumi to access and deploy it.

    Now, let's turn to the Pulumi program to do this.

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as kubernetes from "@pulumi/kubernetes"; // Step 1: Create an AKS cluster const resourceGroup = new azure_native.resources.ResourceGroup("myResourceGroup"); const cluster = new azure_native.hybridcontainerservice.ProvisionedCluster("myAKSCluster", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Define properties for your AKS cluster here... }); // Export the KubeConfig export const kubeConfig = cluster.kubeConfig; // Step 2: Configure the Kubernetes provider to use the generated KubeConfig const k8sProvider = new kubernetes.Provider("k8sProvider", { kubeconfig: kubeConfig.apply(JSON.stringify), }); // Step 3: Deploy the Helm chart to the AKS cluster const chart = new kubernetes.helm.v3.Chart("empathyco-backstage-chart", { repo: "<Helm chart repository>", // Replace with the URL of your Helm chart repository chart: "empathyco-backstage", version: "<Helm chart version>", // Specify the version of the Helm chart you want to deploy }, { provider: k8sProvider }); // To retrieve information such as the public URL of the deployed application: // (the details depend on the Helm chart being used) export const backendUrl = chart.getResourceProperty("v1/Service", "empathyco-backstage", "status").apply(status => status.loadBalancer.ingress[0].ip);

    In the above program:

    • myResourceGroup is a new Azure resource group.
    • myAKSCluster is the name for the new AKS cluster.
    • kubeConfig is exported so you can use it to interact with your Kubernetes cluster using kubectl.
    • k8sProvider is a Pulumi Kubernetes provider that uses the kubeconfig from myAKSCluster to communicate with the cluster.
    • empathyco-backstage-chart is the name for the Helm chart deployment within Pulumi. You will have to replace <Helm chart repository> and <Helm chart version> with the actual repository URL and chart version for the empathyco-backstage Helm chart.
    • backendUrl may expose the public IP for the service, depending on the service type specified in the Helm chart. Not all services will have an external IP; for example, services of type ClusterIP will not make anything publicly accessible.

    You will need to replace the placeholders for the Helm chart repository and version with the actual values for the empathyco-backstage Helm chart.

    Please note, if you're using a private Helm repository or a private Docker registry for container images, additional authentication configuration will be required.

    Before running this Pulumi program, make sure you're authenticated with Azure (using the Azure CLI az login) and have the Pulumi CLI set up with an active Pulumi stack. After that, running pulumi up will execute the deployment described by the code.

    Refer to the Pulumi documentation for ProvisionedCluster and kubernetes.helm.v3.Chart for detailed information on configuration options and properties.