Deploy the voltha helm chart on Azure Kubernetes Service (AKS)

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Pulumi · Accepted Answer

To deploy the VOLTHA Helm chart on an Azure Kubernetes Service (AKS) cluster using Pulumi, you would follow these general steps:

1. **Set up an AKS cluster:** Create an AKS cluster in Azure if you don't already have one.

2. **Install and configure `kubectl`:** Ensure you have `kubectl` installed and configured to communicate with your AKS cluster.

3. **Set up Helm:** Install Helm, a package manager for Kubernetes, which is used to deploy the VOLTHA Helm chart.

4. **Deploy the Helm chart:** Finally, use Helm to deploy the VOLTHA Helm chart to your AKS cluster.

Below is a Pulumi program written in TypeScript that demonstrates how to perform these steps, which will result in the deployment of VOLTHA on AKS:

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

// Step 1: Create an AKS cluster
const aksCluster = new azure.containerservice.KubernetesCluster("aksCluster", {
  // Provide the required resource configuration for AKS here
  // Location, resource group name, Kubernetes version, node pool configurations, etc.
});

// Step 2: Using the AKS cluster's kubeconfig to set up kubectl configuration.
const kubeConfig = aksCluster.kubeConfigRaw;

// Step 3: Create a k8s Provider instance that uses the AKS cluster's kubeconfig.
const provider = new k8s.Provider("k8sProvider", {
  kubeconfig: kubeConfig,
});

// Step 4: Deploy the VOLTHA Helm chart using the k8s Provider.
const volthaChart = new k8s.helm.v3.Chart("voltha", {
  // Specify the chart, version, and repository for VOLTHA
  chart: "voltha",
  version: "0.1.0", // Specify the actual version you want to deploy
  fetchOpts: {
    repo: "http://helm-repo.voltha.org/", // Replace with the actual repo URL
  },
}, { provider });

// Export the AKS cluster name and Kubernetes API server endpoint
export const clusterName = aksCluster.name;
export const kubeApiServerEndpoint = aksCluster.kubeConfig.apply(config => config.clusterServer);
```

This program will go through the process of provisioning an AKS cluster and deploying the VOLTHA Helm chart to it.

### Explanation of resources:

- `azure.containerservice.KubernetesCluster`: This resource is used to create and manage an AKS cluster within Azure. You will need to fill in details like the location, resource group name, Kubernetes version, and node pool configurations specific to your needs.

- `k8s.Provider`: This resource is a Pulumi provider for Kubernetes. It allows Pulumi to communicate with the Kubernetes API server of an AKS cluster. It uses `kubeConfig` from the AKS cluster we created to set up this communication.

- `k8s.helm.v3.Chart`: This resource represents a Helm chart in Pulumi and is used to deploy applications on a Kubernetes cluster. The chart and version details point to the specific VOLTHA chart you want to deploy.

### What is VOLTHA?

VOLTHA (Virtual OLT Hardware Abstraction) is an open-source project that provides a hardware abstraction for broadband access equipment. It typically runs on a Kubernetes cluster, and Helm is used to manage its deployment.

### Things to keep in mind:

- Make sure your Pulumi version is compatible with the resources being used.
- The `fetchOpts.repo` should be the URL for the Helm repo where the VOLTHA chart is hosted.
- The `version` should correspond to the specific version of the VOLTHA Helm chart you wish to deploy.
- You'll need to fill in specifics for your environment, like your desired Azure region and AKS configuration details.
- Ensure that you have the appropriate permissions to create AKS clusters in your Azure subscription.

This program assumes you've already set up Pulumi and authenticated with your Azure account. If not, you'll need to install Pulumi, set it up, and log in to your Azure account using the Azure CLI. Once that's complete, this code will create the infrastructure described above when you run `pulumi up`.

Remember to always review and understand code fully before executing it to ensure it meets your expectations and to make any necessary adjustments for your specific scenario.