1. Deploy the infosys-deepstream helm chart on Azure Kubernetes Service (AKS)


    Deploying the infosys-deepstream Helm Chart on Azure Kubernetes Service (AKS)

    To deploy the infosys-deepstream Helm Chart on AKS using Pulumi, we'll follow these steps:

    1. Set up the AKS Cluster: We'll create a new AKS cluster by defining an instance of the azure.containerservice.KubernetesCluster resource. This resource is responsible for provisioning an AKS cluster on Azure.

    2. Configure the KubeConfig: In order to deploy the Helm chart to our AKS cluster, we need to configure kubeconfig which will provide the necessary authentication details to communicate with the cluster.

    3. Deploy the Helm Chart: With the KubeConfig set, we use the kubernetes.helm.v3.Chart resource which allows us to deploy a Helm chart within our Kubernetes cluster.

    Below is the TypeScript program that performs these steps:

    import * as pulumi from "@pulumi/pulumi"; import * as azure from "@pulumi/azure"; import * as azuread from "@pulumi/azuread"; import * as kubernetes from "@pulumi/kubernetes"; // Step 1: Provision an AKS cluster const resourceGroupName = new azure.core.ResourceGroup("aksResourceGroup", { location: "East US", // Choose the right Azure region for your cluster }); const adApp = new azuread.Application("aks"); const adSp = new azuread.ServicePrincipal("aksSp", { applicationId: adApp.applicationId }); const adSpPassword = new azuread.ServicePrincipalPassword("aksSpPassword", { servicePrincipalId: adSp.id, endDate: "2099-01-01T00:00:00Z", // This password will effectively not expire }); const k8sCluster = new azure.containerservice.KubernetesCluster("aksCluster", { resourceGroupName: resourceGroupName.name, location: resourceGroupName.location, agentPoolProfiles: [{ name: "aksagentpool", count: 2, vmSize: "Standard_DS2_v2", }], dnsPrefix: `${pulumi.getStack()}-kube`, linuxProfile: { adminUsername: "aksuser", sshKey: { keyData: "<YOUR_SSH_PUBLIC_KEY>" }, // Make sure to provide your SSH public key }, servicePrincipal: { clientId: adApp.applicationId, clientSecret: adSpPassword.value, }, }); // Step 2: Configure Kubeconfig const creds = pulumi.all([k8sCluster.name, resourceGroupName.name]).apply(([clusterName, rgName]) => azure.containerservice.getKubeConfig({ name: clusterName, resourceGroupName: rgName, }), ); const k8sProvider = new kubernetes.Provider("k8sProvider", { kubeconfig: creds.rawKubeConfig, }); // Step 3: Deploy the Helm Chart const helmChart = new kubernetes.helm.v3.Chart("deepstreamChart", { chart: "infosys-deepstream", // You might need to specify the repository if it's not a stable/mainstream chart. // e.g., `repo: "https://<helm-chart-repo-url>"` version: "5.0", // Set the chart version you wish to deploy namespace: "deepstream", // Creating or using an existing namespace for the chart values: { // Specify Helm chart values here, e.g.: // image: { // tag: "5.0", // }, }, }, { provider: k8sProvider }); // Export the Kubeconfig to access the cluster with kubectl export const kubeconfig = creds.rawKubeConfig;

    Please make sure to replace <YOUR_SSH_PUBLIC_KEY> with your actual SSH public key. This key is used to securely connect to the Kubernetes nodes if you need to SSH directly into a node for diagnostics or troubleshooting.

    Important Points to Note:

    • You need to specify the correct Helm chart repository URL if infosys-deepstream is not available in the default repositories.
    • version within the Helm chart resource denotes the version of the Helm chart you want to deploy. Adjust the version as per the available versions of infosys-deepstream.
    • The values object within the Helm chart resource allows you to customize the deployment. For instance, you might need to provide custom configuration that is specific to infosys-deepstream. You can find the available options in the chart's documentation or by using the helm show values command.
    • The kubeconfig exported at the end of the program is meant to be used with kubectl, the Kubernetes command-line client, for interacting with your cluster directly.

    To run the program, you'll need to have Pulumi, Node.js, and the npm package manager installed. Once that's set up, you can run pulumi up to execute your Pulumi program and provision the resources. This will create the AKS cluster, configure it, and deploy the Helm chart as specified.