1. Deploy the mtls-proxy helm chart on Azure Managed Openshift Service


    Deploying the mtls-proxy Helm chart on an Azure Managed OpenShift service involves setting up an Azure Red Hat OpenShift cluster and then deploying the Helm chart to it. To accomplish this with Pulumi, you will write a program in TypeScript using the azure-native and kubernetes providers.

    Here is a detailed breakdown of the steps we're going to take in the code:

    1. Create an Azure Resource Group: Organize your Azure resources into a container that holds related resources for an Azure solution.

    2. Provision an Azure Managed OpenShift Cluster: This is the managed Kubernetes service for deploying and managing your applications.

    3. Configure the Kubernetes Provider: To communicate with the created OpenShift cluster.

    4. Deploy the mtls-proxy Helm Chart: Use the Helm Release resource from the Kubernetes provider to deploy the mtls-proxy chart to your cluster.

    Now let's write the code to achieve the deployment:

    import * as pulumi from "@pulumi/pulumi"; import * as azure_native from "@pulumi/azure-native"; import * as k8s from "@pulumi/kubernetes"; // Step 1: Create an Azure Resource Group const resourceGroup = new azure_native.resources.ResourceGroup("my-rg"); // Step 2: Provision an Azure Managed OpenShift Cluster // Replace these with the appropriate values for your environment const openshiftClusterName = "my-openshift-cluster"; const openshiftCluster = new azure_native.redhatopenshift.OpenShiftCluster(openshiftClusterName, { resourceGroupName: resourceGroup.name, location: resourceGroup.location, // OpenShift cluster properties (update according to your requirements) clusterProfile: { domain: "example", version: "4.7.0", // Specify the OpenShift version }, masterProfile: { vmSize: "Standard_D4s_v3", }, networkProfile: { podCidr: "", serviceCidr: "", }, workerProfiles: [{ name: "worker", count: 3, vmSize: "Standard_D4s_v3", }], // Auth can be set up here depending on how you manage OpenShift credentials }); // Step 3: Configure the Kubernetes Provider to use the created OpenShift cluster const k8sProvider = new k8s.Provider("k8s-provider", { kubeconfig: openshiftCluster.kubeconfig.apply(JSON.stringify), }); // Step 4: Deploy the `mtls-proxy` Helm Chart const helmReleaseName = "mtls-proxy"; const mtlsProxyHelmChart = new k8s.helm.v3.Chart(helmReleaseName, { chart: "mtls-proxy", // You'll need to specify the repository if it's not a stable chart fetchOpts: { repo: "http://path-to-your-helm-chart-repository", // Replace with the Helm chart repository URL }, // Additionally, specify any custom values you want to apply to the Helm chart // values: { ... }, }, { provider: k8sProvider }); // Export the cluster's kubeconfig export const kubeconfig = openshiftCluster.kubeconfig;

    Before you run this program with Pulumi, make sure you have set up the Pulumi CLI, logged in, and selected the appropriate Azure subscription. You also need the Helm chart repository URL for the mtls-proxy.

    Install the Pulumi and Azure CLI, and then log in to your Azure account using az login. After you log in, run pulumi up to create and deploy your resources. This command will preview the changes and after confirming, apply them to your Azure subscription.

    This code will accomplish the following:

    • It organizes resources within the specified resource group, ensuring your OpenShift cluster and associated resources are grouped together for management purposes.
    • It sets up an Azure Red Hat OpenShift cluster which is a turnkey solution for Kubernetes on Azure.
    • It configures Pulumi to manage the OpenShift cluster using Pulumi’s Kubernetes provider by passing the kubeconfig output from the OpenShift cluster resource.
    • Lastly, it deploys the mtls-proxy Helm chart to your OpenShift cluster using Pulumi’s Helm chart resource.

    You can modify the values object within the Chart resource to customize mtls-proxy configurations if needed. You can also modify other parts of this program to better fit your organization's requirements, like cluster sizing and versioning, region selection, or resource naming.