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


    To deploy a Helm chart on Azure Kubernetes Service (AKS) using Pulumi, you will need to perform a series of steps. The deployment will involve creating an AKS cluster and then deploying the test-helm Helm chart onto that cluster.

    Here is a systematic approach to what needs to be done:

    1. Set up an AKS Cluster: This involves creating a new AKS cluster in your Azure environment using the azure-native.hybridcontainerservice.ProvisionedCluster resource. This cluster will be the foundation where your Kubernetes applications and workloads will run.

    2. Deploy Helm Chart: The next step is to deploy your Helm chart onto the AKS cluster. For this, you'll use the kubernetes.helm.v3.Chart resource from the Kubernetes provider for Pulumi. The Helm provider will manage the release of the Helm chart on your cluster.

    Below is a TypeScript program that uses Pulumi to create an AKS cluster and deploy the test-helm Helm chart to it. Make sure you have @pulumi/azure-native and @pulumi/kubernetes packages installed in your Node.js project and you've configured your Pulumi for Azure. Also, ensure you have access to the Helm chart you want to deploy (test-helm in this case).

    import * as azure from "@pulumi/azure-native"; import * as pulumi from "@pulumi/pulumi"; import * as k8s from "@pulumi/kubernetes"; // Create an AKS cluster. const resourceGroupName = new azure.resources.ResourceGroup("myResourceGroup"); const aksCluster = new azure.containerservice.ManagedCluster("myAKSCluster", { resourceGroupName: resourceGroupName.name, agentPoolProfiles: [{ count: 1, maxPods: 110, mode: "System", name: "agentpool", osDiskSizeGB: 30, osType: "Linux", type: "VirtualMachineScaleSets", vmSize: "Standard_DS2_v2", }], dnsPrefix: "myakscluster", enableRBAC: true, kubernetesVersion: "1.18.14", linuxProfile: { adminUsername: "adminuser", ssh: { publicKeys: [{ keyData: "ssh-rsa ...", // replace with your SSH public key }], }, }, }); // Export the kubeconfig export const kubeconfig = pulumi.all([aksCluster.name, resourceGroupName.name]).apply(([clusterName, rgName]) => azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }).then(creds => { const encoded = creds.kubeconfigs[0].value; return Buffer.from(encoded, 'base64').toString(); }), ); // Create a Kubernetes provider instance that uses our kubeconfig. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the `test-helm` Helm chart onto the AKS cluster. const testHelmChart = new k8s.helm.v3.Chart("testHelmChart", { chart: "test-helm", version: "0.1.0", // replace with the desired chart version fetchOpts: { repo: "http://charts.example.com/", // replace with the URL of your Helm chart repository }, }, { provider: k8sProvider }); // Export the public IP to access the Helm chart application export const publicIP = testHelmChart.getResourceProperty("v1/Service", "test-helm", "status") .apply(status => status.loadBalancer.ingress[0].ip);


    • A resource group is created to organize the resources in Azure.
    • An AKS cluster is instantiated with a specified version and a minimal configuration. You should customize the SSH key, node size, and Kubernetes version to suit your scenario.
    • We obtain the kubeconfig for the newly created AKS cluster, which allows us to interact with the cluster using the Kubernetes API.
    • A Kubernetes provider is then created, configured to use the fetched kubeconfig. This provider ensures that Pulumi knows how to deploy resources to our AKS cluster.
    • Finally, we deploy a Helm chart using the test-helm name. You must replace the chart and version fields with the details of the Helm chart you want to deploy, as well as the repo parameter with the URL of your Helm chart repository.

    The publicIP exported at the end will display the ingress IP address which you can use to access your deployed Helm chart application if it is a web service or similar.

    To apply these changes with Pulumi, save the above code in a file named index.ts, and then run the following CLI commands:

    pulumi up

    These will prompt you to create a new stack (if you haven't created one already), display a preview of the changes, and execute the deployment if confirmed. The resources will be created in the order specified in the program, with Pulumi understanding and taking care of dependencies between resources.