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


    To deploy the istio-fortio Helm chart on Azure Kubernetes Service (AKS), we will follow these steps:

    1. Set up an Azure Kubernetes Service (AKS) cluster.
    2. Install the Helm client and configure it to work with our AKS cluster.
    3. Deploy the istio-fortio Helm chart onto the AKS cluster.

    In this Pulumi program, we will use the azure-native provider, which works directly with Azure Resource Manager (ARM) API, to create an AKS cluster. Then we will apply a Kubernetes Helm Chart, which requires first setting up a Pulumi Kubernetes provider instance configured to communicate with the AKS cluster we created.

    Below is the Pulumi program written in TypeScript that accomplishes this:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Create a resource group const resourceGroupName = new azure_native.resources.ResourceGroup("resourceGroup", { resourceGroupName: "myResourceGroup", location: "WestUS", // You can change Azure regions according to your preference }); // Create an AKS cluster const cluster = new azure_native.containerservice.ManagedCluster("aksCluster", { resourceName: "myAKSCluster", resourceGroupName: resourceGroupName.name, location: resourceGroupName.location, agentPoolProfiles: [{ count: 2, // Number of nodes in the Node Pool maxPods: 110, mode: "System", name: "agentpool", osType: "Linux", vmSize: "Standard_DS2_v2", // You can change the VM size based on your workload requirements }], dnsPrefix: "myk8s", // Your DNS prefix for the AKS cluster kubernetesVersion: "1.21.9", // Specify your desired Kubernetes version }); // Export the Kubeconfig export const kubeconfig = pulumi. all([cluster.name, cluster.resourceGroupName]). apply(([clusterName, rgName]) => { return azure_native.containerservice.listManagedClusterUserCredentials({ resourceName: clusterName, resourceGroupName: rgName, }); }). apply(creds => { const encoded = creds.kubeconfigs[0].value; const decoded = Buffer.from(encoded, 'base64').toString('utf8'); // Write the kubeconfig to a file. // PLEASE NOTE: in a production scenario, you should protect this file as it provides access to your cluster. const fs = require("fs"); fs.writeFileSync("kubeconfig.yml", decoded); console.log("Kubeconfig is written to kubeconfig.yml"); return decoded; }); // Set up the Kubernetes provider const k8sProvider = new k8s.Provider("k8sProvider", {kubeconfig: kubeconfig}); // Deploy istio-fortio Helm chart const fortioHelmChart = new k8s.helm.v3.Chart("fortio", { chart: "fortio", version: "1.3.1", // Specify the version of the istio-fortio chart you want to deploy fetchOpts:{ repo: "https://istio.io/charts/", }, }, {provider: k8sProvider}); // Export the public IP to access the fortio service export const frontendIp = fortioHelmChart.getResourceProperty("v1/Service", "fortio", "status").apply(status => status.loadBalancer.ingress[0].ip);

    In this program:

    • We start by creating a Resource Group in Azure to hold our AKS cluster.
    • Next, we create the AKS cluster using the azure_native.containerservice.ManagedCluster class.
    • We then export the Kubeconfig, which is necessary to interact with the AKS cluster using the Kubernetes API.
    • A Kubernetes provider (k8s.Provider) is set up with the exported Kubeconfig, which configures the provider to use our newly created AKS cluster.
    • Finally, we use the k8s.helm.v3.Chart resource to deploy the istio-fortio Helm chart. The repo option specifies the chart's repository URL.
    • The front-end IP to access the deployed service is exported, allowing us to interact with our deployment.

    Ensure that you have Azure CLI and Pulumi CLI installed and configured on your local machine to run this program. The program will create resources in your Azure subscription and deploy the application specified by the Helm chart.