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


    In order to deploy the elasticsearch-sed Helm chart on Azure Kubernetes Service (AKS), we will perform the following steps:

    1. Set up an AKS cluster within Azure using Pulumi's azure-native package. This will create a managed Kubernetes cluster that you can configure and scale as needed.
    2. Install the elasticsearch-sed Helm chart on the AKS cluster using Pulumi's kubernetes package. Helm charts are collections of pre-configured Kubernetes resources that can be easily installed and managed within Kubernetes clusters.

    Below is a complete TypeScript program that you can use to deploy an AKS cluster and then install the elasticsearch-sed Helm chart on it. Comments are included, explaining each key part of the program.

    import * as pulumi from '@pulumi/pulumi'; import * as azure_native from '@pulumi/azure-native'; import * as k8s from '@pulumi/kubernetes'; // Create a new resource group to contain the AKS cluster const resourceGroup = new azure_native.resources.ResourceGroup("resourceGroup"); // Create the AKS cluster const aksCluster = new azure_native.containerservice.ManagedCluster("aksCluster", { resourceGroupName: resourceGroup.name, // Using Kubernetes version based on Azure's supported list at the time of writing kubernetesVersion: '1.19.11', // Define the properties of the default node pool agentPoolProfiles: [{ count: 2, // Number of nodes in the node pool vmSize: "Standard_DS2_v2", name: "default", }], // Generate SSH keys to use with nodes in the AKS cluster linuxProfile: { adminUsername: "azureuser", ssh: { publicKeys: [{ keyData: "" // You should replace this with your SSH public key's text }], }, }, // Enable monitoring and logging using Azure services enableRBAC: true, dnsPrefix: pulumi.interpolate`${pulumi.getStack()}aks`, // DNS prefix for your AKS cluster }); // Get the kubeconfig file for the AKS cluster const creds = pulumi.all([resourceGroup.name, aksCluster.name]).apply(([resourceGroupName, clusterName]) => azure_native.containerservice.listManagedClusterUserCredentials({ resourceGroupName, resourceName: clusterName, }) ); // Extract and assign the kubeconfig const kubeconfig = creds.kubeconfigs[0].value.apply(kc => Buffer.from(kc, 'base64').toString()); // Create a Kubernetes provider instance using the kubeconfig from AKS, which directs Pulumi to manage resources in that cluster const provider = new k8s.Provider("aksK8s", { kubeconfig: kubeconfig, }); // Install the `elasticsearch-sed` Helm chart into the AKS cluster using the Pulumi Kubernetes provider const elasticsearchHelmChart = new k8s.helm.v3.Chart("elasticsearch-sed-chart", { // Set the name of the chart and repository details as required chart: "elasticsearch", version: "7.10.0", // At this point, you should use the version that matches your needs fetchOpts: { repo: "https://helm.elastic.co", // The repository URL where the chart can be found }, }, { provider: provider }); // Ensure that the Helm chart is installed in the AKS cluster provisioned by Pulumi // Export the kubeconfig to be used outside the Pulumi program export const kubeConfig = kubeconfig; export const clusterName = aksCluster.name;

    Place the above code in a file named index.ts within your Pulumi project directory.

    Before running the code, ensure that the AKS cluster's linuxProfile.ssh.publicKeys.keyData field contains your SSH public key's text. This is important for security reasons to ensure only you have access to the nodes within the AKS cluster.

    To run this program:

    • Navigate to your Pulumi project directory in the terminal.
    • Use pulumi up command to trigger the deployment. Pulumi CLI will show you a preview of the resources that will be created and ask for confirmation before proceeding.

    When the deployment is successful, Pulumi will output the configured kubeconfig and clusterName. You can use this kubeconfig to interact with your AKS cluster using kubectl or any other Kubernetes tooling.

    This program will set up a basic two-node AKS cluster, suitable for development or testing environments. For production use, consider a more robust configuration with additional node pools, increased node counts, and network configuration suitable for your specific needs.