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


    Deploying a Helm chart on Azure Kubernetes Service (AKS) using Pulumi involves several steps. We will first create an AKS cluster, then deploy the MongoDB Helm chart to that cluster. For these purposes, we'll use the azure-native Pulumi provider to create AKS and the kubernetes provider to interact with the cluster.

    1. Create an AKS Cluster

    We'll start by defining the AKS cluster. We will create a resource group and then the cluster itself within that resource group.

    2. Deploy the MongoDB Helm Chart

    Once the AKS cluster is up and running, we will use Pulumi's kubernetes provider to deploy the mongo-sed Helm chart. Make sure the chart is available in a Helm repository or that you have the chart files locally.

    Below is a TypeScript program that accomplishes these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Create a new resource group const resourceGroup = new azure.resources.ResourceGroup("myResourceGroup"); // Create an AKS cluster const cluster = new azure.containerservice.ManagedCluster("myAksCluster", { resourceGroupName: resourceGroup.name, agentPoolProfiles: [{ count: 1, maxPods: 110, mode: "System", name: "agentpool", osType: "Linux", vmSize: "Standard_DS2_v2", }], dnsPrefix: "myakscluster", enableRBAC: true, kubernetesVersion: "1.20.9", linuxProfile: { adminUsername: "adminuser", ssh: { publicKeys: [{ keyData: "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQD3b3IdiO+...", }], }, }, // Enable Kubernetes RBAC and other features by configuring the network profile, etc. }); // Expose a KubeConfig for the AKS cluster const creds = pulumi.all([cluster.name, resourceGroup.name]).apply(([name, rgName]) => { return azure.containerservice.listManagedClusterUserCredentials({ resourceGroupName: rgName, resourceName: name, }); }); const kubeconfig = creds.apply(creds => creds.kubeconfigs[0].value); // Create a Kubernetes provider instance that uses our AKS cluster's kubeconfig const k8sProvider = new k8s.Provider("k8sProvider", { kubeconfig: kubeconfig, }); // Deploy the mongo-sed Helm chart in the AKS cluster const mongoChart = new k8s.helm.v3.Chart("mongo-sed", { chart: "mongo-sed", version: "5.21.0", // The version number here is illustrative; replace it with the actual chart version fetchOpts: { repo: "https://charts.bitnami.com/bitnami", // Assuming 'mongo-sed' is hosted on Bitnami Helm repo }, }, { provider: k8sProvider }); // Export the public endpoint of the MongoDB service export const mongoEndpoint = pulumi.interpolate`mongodb://${mongoChart.getResourceProperty("v1/Service", "mongo-sed-mongodb", "status")?.loadBalancer?.ingress[0]?.ip}`;


    1. Import necessary Pulumi packages for interacting with Azure and Kubernetes.
    2. Create an Azure resource group to host our AKS cluster.
    3. Define the AKS cluster with required configurations like the DNS prefix, the size of the virtual machines, version of Kubernetes, and the public SSH key for access.
    4. Retrieve the kubeconfig from the AKS so that Pulumi can use it to manage Kubernetes resources.
    5. Create a new instance of the Kubernetes provider with the kubeconfig of the AKS cluster.
    6. Deploy the mongo-sed Helm chart to the AKS cluster. We're using the k8s.helm.v3.Chart resource provided by Pulumi to deploy a Helm chart.
    7. Export the MongoDB endpoint for application use.

    Remember to replace the placeholder values with actual values that fit your requirements (e.g. the SSH key data, the Helm chart version, and the repository URL if mongo-sed is from a different repository).

    You will need to have Pulumi installed and configured with an Azure account to run this program. Run pulumi up to deploy the program, which will result in an AKS cluster running MongoDB.