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

Question

Pulumi · Accepted Answer

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:

```typescript
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: '10.0.0.0/8'
    }
}, { 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.