1. Deploy the gnocchi helm chart on Azure Kubernetes Service (AKS)


    To deploy the Gnocchi Helm chart on Azure Kubernetes Service (AKS), you would need to follow these high-level steps:

    1. Set up an AKS cluster: Create a Kubernetes cluster in Azure using Pulumi.
    2. Install the Helm chart for Gnocchi: Use Pulumi's Helm support to deploy Gnocchi onto the AKS cluster.

    We'll use two main resources from Pulumi's Azure Native provider to accomplish this:

    • ManagedCluster: Represents the AKS cluster we will create and manage.
    • Chart: Represents the Helm chart we want to deploy, part of the Pulumi Kubernetes provider.

    Here's a Pulumi program written in TypeScript that does exactly this:

    import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; import * as pulumi from "@pulumi/pulumi"; // Step 1. Set up an AKS cluster // We start by declaring the AKS cluster resource. const resourceGroup = new azure.resources.ResourceGroup("resourceGroup", { resourceGroupName: "myResourceGroup", location: "East US", // You can choose a different location }); const aksCluster = new azure.containerservice.ManagedCluster("aksCluster", { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Define the properties for your AKS cluster, like size, count, and version. agentPoolProfiles: [{ count: 2, // The desired number of agent nodes maxPods: 110, // The max number of pods that can run on a node mode: "System", name: "agentpool", osType: "Linux", vmSize: "Standard_DS2_v2", // The size of the virtual machines to use }], dnsPrefix: "myakscluster", kubernetesVersion: "1.20.7", // You should define proper network profile based on your requirements // For the purpose of this example, we are using the default values provided by Azure }); // Getting the kubeconfig of the AKS cluster for k8s provider to use const creds = pulumi.all([resourceGroup.name, aksCluster.name]).apply(([rgName, clusterName]) => azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: clusterName, }) ); const kubeconfig = creds.apply(c => Buffer.from(c.kubeconfigs[0].value, 'base64').toString()); // Step 2. Install the Helm chart for Gnocchi // Now that we have an AKS cluster, we will use the Pulumi Kubernetes provider to install the Gnocchi Helm chart. const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig }); const gnocchiChart = new k8s.helm.v3.Chart("gnocchi", { chart: "gnocchi", version: "x.y.z", // Specify the version of the chart you want to deploy fetchOpts: { repo: "https://helm-repository-url/", // Specify the Helm repository URL }, }, { provider: k8sProvider }); // We would now have a running instance of Gnocchi on our AKS cluster. export const aksClusterName = aksCluster.name; export const aksClusterKubeconfig = kubeconfig;

    In the provided program, replace x.y.z with the actual version of the gnocchi Helm chart and https://helm-repository-url/ with the correct Helm chart repository URL.


    In this program:

    • We start by creating a new resource group in Azure where our AKS cluster will reside.
    • We create an AKS cluster within the resource group. We can specify the number of nodes, VM size, Kubernetes version, etc., based on our requirements.
    • We acquire the AKS cluster credentials to interact with our newly created Kubernetes cluster.
    • We use a k8s.Provider, which knows how to interact with our Kubernetes cluster using its kubeconfig.
    • We use the Chart resource from Pulumi's Kubernetes provider to deploy Gnocchi using Helm. This is the equivalent of running helm install but with the added benefits of Pulumi's state management.

    Once you have written this program in a file (e.g., index.ts), you can run it using the Pulumi CLI commands pulumi up to create the resources. If you need to change the number of nodes or other properties, you just change the code and run pulumi up again.

    Finally, the export statements at the end of our code will output the AKS cluster name and kubeconfig after the pulumi up command finishes. This allows you to use kubectl to interact with your cluster.