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


    To deploy the kubevious-agent Helm chart on an Azure Kubernetes Service (AKS) cluster, we need to perform a few steps:

    1. Create an AKS cluster: We will use the azure-native.containerservice.ManagedCluster resource from Pulumi's Azure Native provider; this will provision a new AKS cluster in Azure.
    2. Install the Helm chart: We will use the kubernetes.helm.v3.Chart resource from Pulumi's Kubernetes provider to deploy the kubevious-agent Helm chart to the AKS cluster.

    Before starting, make sure that you have the following prerequisites in place:

    • Pulumi CLI installed.
    • An Azure account with the necessary permissions to create resources.
    • Azure CLI installed and configured with your Azure credentials.

    Now, let's walk through the code to deploy kubevious-agent on AKS using Pulumi and TypeScript.

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as kubernetes from "@pulumi/kubernetes"; // Create a new resource group to contain the AKS cluster const resourceGroupName = "kubeviousResourceGroup"; const resourceGroup = new azure_native.resources.ResourceGroup(resourceGroupName, { // The location here is exemplary; you should choose the appropriate Azure region location: "WestUS", }); // Create an AKS cluster const managedClusterName = "kubeviousAksCluster"; const managedCluster = new azure_native.containerservice.ManagedCluster(managedClusterName, { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Define the AKS cluster parameters such as the version, node size, and number of nodes. // The properties here are exemplary; you should define constants specific to your requirements. kubernetesVersion: "1.19.7", agentPoolProfiles: [{ count: 2, vmSize: "Standard_DS2_v2", name: "agentpool", mode: "System", osType: "Linux", }], // Enable RBAC on AKS cluster enableRBAC: true, }, { parent: resourceGroup }); // Once the AKS cluster is provisioned, we need to configure the Kubernetes provider to connect to it const credentials = pulumi.all([resourceGroup.name, managedCluster.name]).apply(([rg, cluster]) => { return azure_native.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rg, resourceName: cluster, }); }); // Get the kubeconfig from the AKS cluster credentials const kubeConfig = credentials.apply(c => { const encoded = c.kubeconfigs[0].value; return Buffer.from(encoded, "base64").toString(); }); // Create a Kubernetes provider instance using the kubeconfig const k8sProvider = new kubernetes.Provider("k8sProvider", { kubeconfig: kubeConfig, }, { dependsOn: [managedCluster] }); // Deploy kubevious-agent Helm chart using the Helm Chart resource from Pulumi Kubernetes provider const chartName = "kubevious-agent"; const kubeviousAgentChart = new kubernetes.helm.v3.Chart(chartName, { chart: "kubevious", version: "0.7.25", fetchOpts: { repo: "https://charts.kubevious.io", }, }, { provider: k8sProvider }); // Export the kubeConfig and Kubernetes provider export const kubeConfigOutput = kubeConfig; export const k8sProviderOutput = k8sProvider; // Additionally, you could export other outputs such as the public IP of the AKS cluster if required.

    This TypeScript program demonstrates how to provision an AKS cluster on Azure and deploy the kubevious-agent Helm chart to it using Pulumi.

    1. We start by importing the necessary Pulumi libraries.
    2. We create a new resource group to contain the AKS cluster using the Azure Native ResourceGroup resource.
    3. We then declare the AKS cluster, specifying important properties like the Kubernetes version, the size and number of VMs for the node pool, and enabling RBAC.
    4. We retrieve the kubeconfig which is required to connect and manage the Kubernetes cluster.
    5. Using this kubeconfig, we create a Pulumi Kubernetes provider instance that knows how to communicate with the AKS cluster.
    6. Finally, we use the Chart resource to deploy kubevious-agent from its Helm repository, specifying which chart to use and a specific version.

    To run this code, save it to a file (for example index.ts), ensure you are logged in to Azure (az login), and have selected the subscription and logged in to Pulumi (pulumi login). Then, simply run pulumi up from the command line in the same directory as your file, and Pulumi will provision the resources for you.