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


    To deploy the nginx-charts Helm chart on Azure Kubernetes Service (AKS), we will use Pulumi's TypeScript SDK to define our cloud infrastructure as code. The primary resources we will work with are:

    1. AKS Cluster: We will create an AKS cluster where our Kubernetes workloads will run.
    2. Kubernetes Provider: Pulumi's way of interfacing with the Kubernetes API of the AKS cluster we create.
    3. Helm Chart: The Helm release resource which allows us to deploy the nginx-charts on our AKS cluster.

    The following steps outline the process:

    • Set up an AKS cluster using the azure.containerservice.KubernetesCluster resource.
    • Configure Pulumi to use the newly created AKS cluster as the Kubernetes provider.
    • Deploy the nginx-charts Helm chart using the kubernetes.helm.v3.Chart resource to the AKS cluster.

    Now, I will guide you through how we can achieve this through Pulumi's TypeScript SDK. First, we'll write code to provision the AKS cluster, and then we'll deploy the Helm chart on it.

    Program to Deploy nginx-charts Helm Chart on AKS

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create the AKS cluster const name = "my-aks-cluster"; // Choose a name for your AKS cluster // Note: Azure resource group and location should be set before creating the cluster. // You can use `new azure.core.ResourceGroup` to create one if needed. const cluster = new azure.containerservice.KubernetesCluster(name, { // Provide required configurations for AKS cluster resourceGroupName: azureResourceGroupName, // Your Azure Resource Group Name location: azureLocation, // Location like 'East US' defaultNodePool: { nodeCount: 2, // Set the initial node count for the cluster vmSize: "Standard_D2_v2", // Virtual machine size for the nodes }, dnsPrefix: `${name}-k8s`, identity: { type: "SystemAssigned" // Utilizes a system assigned identity for AKS }, }); // Export the kubeconfig to access the AKS cluster export const kubeconfig = cluster.kubeConfigRaw; // Step 2: Use the AKS cluster as a Kubernetes provider const k8sProvider = new k8s.Provider(name, { kubeconfig: kubeconfig, }); // Step 3: Deploy the nginx chart using Helm to the cluster const nginxHelmChart = new k8s.helm.v3.Chart("nginx", { chart: "nginx", // Helm chart to deploy version: "version", // Specify the version of the chart if needed fetchOpts:{ repo: "https://charts.bitnami.com/bitnami", // Nginx chart's repository URL }, }, { provider: k8sProvider }); // Export the nginx chart's service IP export const nginxServiceIP = nginxHelmChart.getResourceProperty( "v1/Service", "nginx-nginx", "status" ).apply(status => status.loadBalancer.ingress[0].ip);


    • The azure.containerservice.KubernetesCluster resource declares the AKS cluster we want to create. Here you specify the name, node size, and count of your cluster, among other options.
    • kubeConfigRaw is exported so that you can interact with your cluster using tools like kubectl. Please note it is sensitive information.
    • k8s.Provider is what Pulumi uses to communicate with the Kubernetes API server. By providing the kubeconfig from the AKS cluster to it, Pulumi can deploy workloads to the newly created cluster.
    • The k8s.helm.v3.Chart resource is then defined to deploy the nginx-charts Helm chart. The chart repository URL must be specified, and the Helm repository chart name is given as "nginx". Ensure you provide the correct version you need.
    • Lastly, the nginxServiceIP is exported. This represents the external IP which you can use to access your Nginx service once it is fully deployed.

    Remember to run pulumi up to create and deploy the resources defined in above code. These commands use the Pulumi CLI to create/update the resources in your cloud environment according to the plan described in your TypeScript code.

    Please replace placeholder values (e.g., azureResourceGroupName, azureLocation, version) with actual values from your Azure environment before running the program.