1. Deploy the k8s-rke-backup helm chart on Azure Kubernetes Service (AKS)


    Deploying a Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi is done in a few steps. First, you'll need to provision an AKS cluster if you don't have one already. Then you can deploy your Helm chart to that cluster. Below I will go through these steps, providing comments to explain each part of the process.

    Step 1: Provision an AKS Cluster

    We will start by provisioning an AKS cluster using the azure-native provider. We'll set up a managed Kubernetes cluster that Azure will maintain for us.

    To create the AKS cluster, we need to first create a resource group, which is like a folder that will contain all our Azure resources. Then we create the AKS cluster within that resource group.

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; // Create an Azure Resource Group const resourceGroup = new azure.resources.ResourceGroup("resourceGroup"); // Create an AKS cluster const cluster = new azure.containerservice.ManagedCluster("myAksCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 1, vmSize: "Standard_DS2_v2", mode: "System", }], dnsPrefix: "myakscluster", kubernetesVersion: "1.19.7", }); // Export the kubeconfig export const kubeconfig = pulumi.all([cluster.name, resourceGroup.name]).apply(([clusterName, rgName]) => { return azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }).then(creds => { const encoded = creds.kubeconfigs[0].value; return Buffer.from(encoded, 'base64').toString(); }); });

    Step 2: Deploy the Helm Chart

    Once the AKS cluster is up and running, we can deploy Helm charts to it. To do this, we'll use Pulumi's kubernetes provider which allows us to interact with a Kubernetes cluster to manage resources like Helm charts, pods, services, etc.

    import * as k8s from "@pulumi/kubernetes"; // Create a Kubernetes provider instance that uses our kubeconfig const provider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the Helm chart using the kubernetes provider const rkeBackupChart = new k8s.helm.v3.Chart("rke-backup", { chart: "k8s-rke-backup", // Specify the chart version if needed // version: "<chart_version>", // Values for the Helm chart are provided here values: { // Specific values for the rke-backup chart }, }, { provider: provider }); // Export the Helm chart status export const helmChartStatus = rkeBackupChart.status;


    • We start by importing the appropriate modules from Pulumi's SDK, which includes Azure and Kubernetes modules.
    • We define a provider, which tells Pulumi how to communicate with our Kubernetes cluster. The provider requires a kubeconfig, which we exported from the AKS cluster resource we created in the first step.
    • We then deploy our Helm chart using k8s.helm.v3.Chart resource. You would replace "k8s-rke-backup" with the name of the actual Helm chart if it is different; sometimes charts have a prefix like stable/ if they are from the standard Helm repository.
    • In the values object, you can provide your custom configurations that need to be passed to the Helm chart. These are the equivalent of the Helm command line --set option.
    • Finally, we're exporting helmChartStatus which gives us some insights into the deployment status of the Helm chart.

    Now, with these steps, you have a TypeScript program that provisions an AKS cluster and deploys the "k8s-rke-backup" Helm chart to it. You can run this program using the Pulumi CLI by running pulumi up. This will start the deployment process and you'll be able to monitor each step directly from your terminal.