Deploy the flyte-sandbox helm chart on Azure Managed Openshift Service

Question

Pulumi · Accepted Answer

To deploy the Flyte sandbox Helm chart on an Azure Managed OpenShift Service, you will need to accomplish two major steps using Pulumi:

1. Provision an Azure Red Hat OpenShift (ARO) cluster.
2. Deploy the Flyte sandbox Helm chart on the ARO cluster using the Pulumi Kubernetes provider.

For the first step, we will use the `azure-native.containerservice.OpenShiftManagedCluster` resource to create an ARO cluster. It is important to note that you will need to have a service principal with appropriate permissions for creating resources in your Azure subscription.

For the second step, we will install the Flyte sandbox on the created cluster using the Pulumi Kubernetes provider with the `kubernetes.helm.v3.Chart` resource, which represents a Helm chart in a Pulumi program.

Below is a TypeScript program demonstrating these steps. It assumes that you have authenticated with Azure and set up the necessary credentials for Pulumi to communicate with your Azure subscription and the Kubernetes cluster.

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

// Create the Azure Red Hat OpenShift cluster
const cluster = new azure_native.containerservice.OpenShiftManagedCluster("myOpenshiftCluster", {
    location: "eastus", // Replace with your Azure region
    resourceName: "myOpenshiftCluster",
    resourceGroupName: "myResourceGroup", // Replace with your resource group
    openShiftVersion: "4.3", // Specify the OpenShift version
    // Define the agent pools for the cluster
    agentPoolProfiles: [{
        name: "compute", // Name of the agent pool
        count: 1, // Number of nodes in the agent pool
        vmSize: "Standard_D4s_v3", // VM size for the nodes
        osType: "Linux", // Operating system type
        role: "compute",
        subnetCidr: "10.0.0.0/24", // Subnet CIDR
    }],
    // Define the master pool profile
    masterPoolProfile: {
        name: "master",
        count: 3, // Number of master nodes
        vmSize: "Standard_D4s_v3", // VM size for the master nodes
        subnetCidr: "10.0.0.0/24", // Subnet CIDR
    },
});

// Once the Openshift cluster is provisioned, create a Kubernetes provider instance using its kubeconfig
const openshiftK8sProvider = new k8s.Provider("openshiftK8sProvider", {
    kubeconfig: cluster.kubeConfigRaw,
});

// Create a new Helm Chart for Flyte sandbox deployment
const flyteChart = new k8s.helm.v3.Chart("flyte-sandbox", {
    chart: "flyte",
    version: "v0.1.0", // Specify the chart version you wish to deploy
    namespace: "flyte", // Namespace where the Flyte sandbox should be installed
    fetchOpts: {
        repo: "https://flyteorg.github.io/flyte", // The Helm repository for the chart
    },
    values: {
        // You can specify the values for the chart here
    },
}, { provider: openshiftK8sProvider });

// Export the frontend address by querying the load balancer created by the chart
export const frontendAddress = flyteChart.getResource("v1/Service", "flyte/flyte-sandbox")
    .apply(svc => svc.status.loadBalancer.ingress[0].ip);
```

**Explanation:**

- The program initializes a new ARO cluster with specified node counts, VM sizes, and subnet CIDR block for the agent and master profiles.
- A Pulumi Kubernetes provider is defined using the kubeconfig from the deployed OpenShift cluster to allow Pulumi to interact with the cluster.
- The Flyte sandbox Helm chart is deployed using this provider. We specify the chart name (`flyte`), version (`v0.1.0`), namespace (`flyte`), and the Flyte-specific Helm repository (`https://flyteorg.github.io/flyte`) where the chart can be found.
- Finally, a Pulumi `export` statement is used to output the IP address of the Flyte frontend service. This IP address can be used to access the Flyte dashboard after deployment.

Make sure to update the `location`, `resourceGroupName`, `version`, `values`, and other fields as necessary to match your intended configuration.

After writing your code, you should install the npm dependencies running `npm install @pulumi/azure-native @pulumi/kubernetes @pulumi/pulumi` and then execute it by running `pulumi up`. This program assumes that you are already authenticated with Azure CLI and have the proper permissions within your Azure subscription.

As this is a simple deployment, certain complex scenarios such as handling multiple environments, secrets management, or customized deployments may require additional code not covered in this example.