Deploy the grafana-chart helm chart on Azure Managed Openshift Service

Question

Pulumi · Accepted Answer

To deploy the Grafana Helm chart on an Azure Managed OpenShift Service (ARO), we will be taking advantage of Pulumi's `azure-native` and `kubernetes` providers. The `azure-native` provider allows us to work with Azure resources natively, and the `kubernetes` provider enables us to interact with Kubernetes clusters, including ones managed by ARO.

First, we need to create an Azure Red Hat OpenShift cluster. As of our current knowledge cut-off, Azure Red Hat OpenShift cluster creation can take a significant amount of time, and certain specifics such as the networking details, service principal, and other configurations will be specific to your Azure environment and requirements.

Next, upon successfully creating the OpenShift cluster, we will configure Pulumi to use the Kubernetes provider to deploy the Grafana chart into the ARO cluster. For these steps, we'll assume that you have an existing OpenShift cluster and the necessary configuration details to interact with it via `kubectl`. If that's not the case, you would need to create one using Pulumi's `azure-native.redhatopenshift.OpenShiftCluster` resource.

Let's start with the Pulumi program to deploy Grafana on Azure Red Hat OpenShift:

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

// Step 1: Configure the Azure Red Hat OpenShift cluster.
// This assumes that the OpenShift cluster is already created and configured.
// Please replace `kubeconfig` with the appropriate configuration details for your cluster.
// Whilst this example demonstrates using a kubeconfig directly in the code for simplicity,
// it is recommended to use a secure method for handling your kubeconfig in production, such as
// storing it in a secure vault and fetching it in your code.

const kubeconfig = "..."; // Your kubeconfig content here

// Step 2: Create a Kubernetes provider instance using the kubeconfig.
const k8sProvider = new k8s.Provider("k8s-provider", {
  kubeconfig: kubeconfig,
});

// Step 3: Deploy the Grafana Helm chart to the ARO cluster.
const grafanaChart = new k8s.helm.v3.Chart("grafana-chart", {
  chart: "grafana",
  fetchOpts: {
    repo: "https://grafana.github.io/helm-charts",
  },
}, { provider: k8sProvider });

// Export the Grafana service details to access it after deployment.
export const grafanaServiceStatus = grafanaChart.getResourceProperty('v1/Service', "grafana-chart-grafana", "status");
```

In this program:

1. We import the required Pulumi packages.
2. We're using a Kubernetes provider that is configured with the `kubeconfig` of the Azure Red Hat OpenShift cluster.
3. We deploy the Grafana Helm chart using Pulumi's Helm chart resource (`k8s.helm.v3.Chart`), specifying the repository where the Grafana chart is hosted.
4. We export the service status of the Grafana deployment which can be used to help determine how to access the Grafana dashboard once it's deployed successfully.

Please be aware, that this Pulumi program assumes you've got a working OpenShift cluster and the necessary permissions to deploy resources to it. Make sure you replace `kubeconfig` variable's placeholder with your actual kubeconfig file content (or path).

Remember, for any changes to your cloud infrastructure (like deploying an application), it is a good practice to run `pulumi up` in a dry-run mode first to preview changes before they are actually applied with a subsequent `pulumi up`.

Make sure your Pulumi stack is configured correctly for the Azure cloud and that you have the necessary permissions on the specified OpenShift cluster for these operations. Additionally, any real-world usage should include securing sensitive information such as your kubeconfig and other credentials.