Deploy the mistral helm chart on Azure Managed Openshift Service

Question

Pulumi · Accepted Answer

To deploy the Mistral Helm chart on Azure Managed Openshift Service using Pulumi, you'll need to take two primary steps:

1. Set up an Azure Managed Openshift Service (also known as Azure Red Hat OpenShift or ARO). That will provide you with a Kubernetes-compliant environment managed by Microsoft and Red Hat.
   
2. Deploy the Mistral Helm chart to the Openshift Service using the Pulumi Kubernetes provider with Helm support.

Here's a comprehensive guide and the Pulumi TypeScript program that will deploy the Mistral Helm chart to an Azure Managed Openshift Service:

### Prerequisites:

- An Azure subscription
- Azure CLI installed and configured
- Pulumi CLI installed and configured
- `kubectl` configured to interact with Azure Kubernetes Services
- Helm CLI installed for chart management

### Step by step program walkthrough:
   
#### Azure Managed OpenShift Service setup

We’ll start by defining our Azure Managed OpenShift cluster. We use the Azure Native provider to create a resource group and then provision an OpenShift cluster within it. When creating an OpenShift cluster, you need to specify various properties like the cluster version, the location, and the authentication profile.

#### Helm Chart Deployment in the Managed OpenShift Service

Once the OpenShift cluster is provisioned, we’ll deploy the Mistral Helm chart into it. We’ll make use of the Pulumi Kubernetes provider, which allows us to interact with the cluster for deploying applications using Helm charts.

In the code, we assume that you’ll provide your chart details like the repository where the chart is hosted or the local path, the chart name, and any configurable values that the chart supports.

Now, let's go to the Pulumi TypeScript program:

```typescript
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("myResourceGroup", {
    resourceGroupName: "OpenShiftResourceGroup",
    location: "EastUS", // Change to your preferred Azure region
});

// Step 2: Create an Azure Managed OpenShift Cluster
const managedCluster = new azure_native.redhatopenshift.OpenShiftCluster("myOpenShiftCluster", {
    resourceGroupName: resourceGroup.name,
    resourceName: "MyOpenShiftCluster",
    location: resourceGroup.location,
    masterProfile: {
        vmSize: "Standard_D8s_v3", // Change as needed
    },
    workerProfiles: [{
        name: "worker",
        count: 3,
        vmSize: "Standard_D8s_v3", // Change as needed
    }],
    // Other necessary configurations go here
});

// Wait for the OpenShift Cluster to be ready before proceeding
const clusterCredentials = pulumi.all([resourceGroup.name, managedCluster.name]).apply(
    ([resourceGroupName, clusterName]) => {
        return azure_native.redhatopenshift.listOpenShiftClusterAdminKubeconfig({
            resourceGroupName,
            resourceName: clusterName,
        });
    },
);

// Step 3: Deploy the Mistral Helm chart
const mistralChart = new k8s.helm.v3.Chart("mistral", {
    chart: "mistral", // This should be the name of your Helm chart
    version: "1.0.0", // Specify the chart version you want to deploy
    fetchOpts: {
        repo: "http://charts.mycompany.com/", // Replace with the Mistral Helm chart's repository URL
    },
    // Specify values for your chart here (if needed)
    values: {
        /* e.g., 
        replicaCount: 3,
        image: {
            repository: "myrepo/mistral",
            tag: "latest"
        }
        */
    },
}, { provider: new k8s.Provider("k8s-provider", { kubeconfig: clusterCredentials.apply(c => c.kubeconfig) }) });

// Export the public cluster endpoint
export const kubeApiServerUrl = managedCluster.apiServerProfile.apply(p => p.url);
```

This program does the following:

- **Resource Group Creation**: A container that holds related resources for an Azure solution. In this case, it holds your Azure Red Hat OpenShift cluster.
  
- **Managed OpenShift Cluster Creation**: A managed OpenShift cluster is instantiated. Note that creating an Azure Red Hat OpenShift cluster requires a significant configuration that is not fully captured here. You need to supply a domain, service principal, and network details according to Azure's requirements.

- **Kubeconfig Retrieval**: Obtaining the kubeconfig of the OpenShift cluster, which is necessary to communicate with Kubernetes for deploying applications.

- **Helm Chart Deployment**: Using the `k8s.helm.v3.Chart` resource, we provide the Helm chart details along with any values to configure the deployment as per the chart's requirements. A temporary kubeconfig is generated, and it is used by Pulumi's Kubernetes provider to deploy the chart.

- **Output**: Exporting the Kubernetes API server URL so you can access the OpenShift cluster.

### Important things to note:

- The actual creation of the OpenShift cluster will take a significant amount of time and is resource-intensive. It’s important to understand the costs and implications of creating such resources.
   
- The values, tags, and configuration specifications in this code are placeholders and should be replaced with actual values from your Helm chart configuration and Azure setup.
   
- Adequate permissions and roles must be in place on Azure for Pulumi to create resources. Ensure your Pulumi Azure provider is correctly configured.

- The Azure OpenShift cluster's `kubeconfig` is sensitive information and should be treated with care, possibly using Pulumi's secret management capabilities.

- Before running `pulumi up`, make sure that you are logged in to your Azure CLI and Pulumi CLI.

To run the Pulumi program, save the code to a `index.ts` file, navigate to the directory containing the file in your CLI and execute `pulumi up`. The Pulumi CLI will take care of provisioning the resources as per the program's definition.