1. Deploy the ngrok-ingress-controller helm chart on Azure Managed Openshift Service


    To deploy the ngrok-ingress-controller Helm chart on an Azure Managed OpenShift Service using Pulumi, you will first create the Azure Managed OpenShift cluster and then deploy the Helm chart onto it.

    Let's break down the steps required:

    1. Provisioning an Azure Managed OpenShift Cluster: Use the azure-native.containerservice.OpenShiftManagedCluster resource to provision an OpenShift cluster in Azure. This operation can involve specifying parameters like the location, the number of nodes, the size of each node, and other details specific to your requirements.

    2. Deploying a Helm Chart: Once the cluster is provisioned, you can deploy Helm charts to the OpenShift cluster using the kubernetes.helm.sh/v3.Chart resource. You will have to specify the information about the ngrok ingress controller Helm chart, including the repository where it's housed and any necessary configuration values.

    Now, let's put those steps into a Pulumi TypeScript program. The following program assumes you have already set up Pulumi with the necessary Azure credentials and are logged in through the Pulumi CLI.

    Here's the code with inline comments to help explain what each section does:

    import * as pulumi from '@pulumi/pulumi'; import * as azure_native from '@pulumi/azure-native'; import * as k8s from '@pulumi/kubernetes'; // Create a new resource group for the OpenShift cluster if it doesn't exist const resourceGroup = new azure_native.resources.ResourceGroup('myResourceGroup', { resourceGroupName: 'myResourceGroup', location: 'eastus', // Be sure to choose a location that supports Azure Managed OpenShift }); // Provision an Azure Managed OpenShift Cluster const openshiftCluster = new azure_native.containerservice.OpenShiftManagedCluster('myOpenShiftCluster', { // Required parameters like location come from the resource group resourceGroupName: resourceGroup.name, location: resourceGroup.location, // Define master & worker profiles, other properties openShiftVersion: '4.3', // Specify the OpenShift version masterPoolProfile: { name: 'master', // name of the master pool profile count: 3, // count specifies the number of masters vmSize: 'Standard_D4s_v3', // VM size of the master nodes }, agentPoolProfiles: [{ name: 'default', // name of the agent pool role: 'compute', // role of the agents in the pool count: 3, // number of agent nodes vmSize: 'Standard_D4s_v3', // VM size of the agent nodes }], networkProfile: { vnetCidr: '' } }, { dependsOn: [resourceGroup] }); // Ensure the resource group is created before the cluster // Define the settings for the ngrok ingress controller Helm chart const ngrokIngressChart = new k8s.helm.v3.Chart('ngrok-ingress', { chart: 'ngrok', // Name of the chart version: '1.1.0', // Version of the chart fetchOpts: { repo: 'https://helm-repository-url', // URL of the Helm repository where ngrok is located }, // Define any custom values.yaml configuration values: { // Add any chart value overrides here }, }, { provider: new k8s.Provider('k8sProvider', { kubeconfig: openshiftCluster.config.kubeConfigRaw, // Use the kubeconfig from the created OpenShift cluster }) });

    This Pulumi program performs the following actions:

    • It starts by importing the necessary Pulumi packages for Azure and Kubernetes.
    • It defines the resource group where all resources will live.
    • It sets up a Managed OpenShift cluster in Azure with a specified version, number of nodes, and their sizes.
    • It deploys the ngrok Helm chart to the OpenShift cluster using a Kubernetes provider that is configured to communicate with the newly created Azure OpenShift cluster.

    Please replace 'https://helm-repository-url' with the actual repository URL where the ngrok ingress controller chart is located.

    You can execute this Pulumi program by placing it in an index.ts file inside a Pulumi project and running pulumi up in your terminal. This command will prompt you to review the changes before Pulumi performs the deployment. Remember that provisioning cloud resources incurs costs and that you need to have appropriate permissions to create resources in your Azure subscription.