Deploy the jira-umbrella helm chart on Azure Managed Openshift Service

Question

Pulumi · Accepted Answer

To deploy the Jira umbrella Helm chart on an Azure Managed OpenShift Service using Pulumi, we'll proceed with two main steps:

1. Provisioning an Azure Red Hat OpenShift (ARO) cluster, which is a fully managed OpenShift service jointly operated by Microsoft and Red Hat.
2. Deploying the Helm chart for Jira on the ARO cluster.

Let's break down this process:

### Step 1: Provision an Azure Managed OpenShift Cluster

We will use the `azure-native.redhatopenshift.OpenShiftCluster` resource for creating an Azure Red Hat OpenShift cluster. This resource allows us to specify various configurations like the version of OpenShift, the geographic location, and the machine sizes for master and worker nodes. Here's the official documentation for this resource: [OpenShiftCluster](https://www.pulumi.com/registry/packages/azure-native/api-docs/redhatopenshift/openshiftcluster/).

For the sake of this example, we will deploy a basic cluster, assuming that you have the necessary prerequisites, such as a resource group and a service principal for Azure.

### Step 2: Deploy the Jira Umbrella Helm Chart

To deploy the Helm chart, we will utilize the `kubernetes.helm.sh/v3.Chart` resource provided by Pulumi's Kubernetes provider. This Pulumi resource facilitates the deployment of a Helm chart into a Kubernetes cluster. The documentation can be found here: [Chart](https://www.pulumi.com/registry/packages/kubernetes/api-docs/helm.sh/v3/chart/).

For the Helm deployment, we will need the name of the Helm chart and the repository where it's hosted. Since you want to deploy 'jira-umbrella', you need to make sure that the Helm repository you are referring to has this chart available.

Below you will find a TypeScript program that demonstrates how this can be done using Pulumi. Before running the program, ensure that your Pulumi CLI is logged in and configured with Azure credentials. You should also have the `@pulumi/azure-native` and `@pulumi/kubernetes` packages installed in your project.

Here's how you could write the program:

```typescript
import * as pulumi from "@pulumi/pulumi";
import * as azureNative from "@pulumi/azure-native";
import * as k8s from "@pulumi/kubernetes";

// Step 1: Create an Azure Managed OpenShift Cluster
const cluster = new azureNative.redhatopenshift.OpenShiftCluster("myCluster", {
    // Replace with your own resource group name
    resourceGroupName: "myResourceGroup", 
    // Provide the necessary properties for the OpenShift cluster here
    resourceName: "myAroCluster",
    location: "eastus", // Choose the location you prefer
    // Cluster profile, network profile, master and worker profiles...
    // You'll need to fill in details relevant for your scenario
    // including networking details, pull secret, and more
});

// Step 2: Deploy the Jira Umbrella Helm Chart to the OpenShift Cluster
// We assume that you've configured the k8s provider to point to the newly created ARO cluster above.
const jiraChart = new k8s.helm.v3.Chart("jira-chart", {
    // Ensure the chart and version are correct and available in the Helm repo
    chart: "jira-umbrella", 
    version: "x.y.z", // Provide the version of the chart you want to deploy
    fetchOpts: { 
        // Specify the repository which hosts the Jira Helm chart
        repo: "https://example.com/helm-charts",
    },
    // You can specify further custom values according to your Helm chart's requirements
    values: {
        // Custom values for the Jira deployment
    },
});

// Export the OpenShift cluster's kubeconfig
export const kubeConfig = cluster.kubeconfig;

```

Before running the Pulumi up command, ensure that you have the Azure AD application (the service principal), and specify proper tags, locations, and other parameters, per your organization's requirements and Azure's capabilities.

After your TypeScript program is ready, you can run `pulumi up` in your Pulumi project directory to create the resources. Always review the preview that Pulumi provides before confirming the deployment.

Remember, the code provided is a simplified illustration. The real deployment scenario will have more complexities to consider, such as Azure networking resources, managing secrets, configuring node sizes, and more according to your organization's needs and compliance guidelines.