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

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Pulumi · Accepted Answer

Deploying a Helm chart to an Azure Kubernetes Service (AKS) cluster using Pulumi involves several steps. First, you'll need to create an AKS cluster if you don't have one already. Then, you will deploy the Helm chart to that cluster. To accomplish this, we'll use the `azure-native` package to create and configure the AKS cluster and the `kubernetes` package to deploy the Helm chart.

Here is a detailed walkthrough of a Pulumi program, written in TypeScript, to deploy the `scorpiobroker` Helm chart on AKS:

### Step 1: Setting up the AKS Cluster
We will create an AKS cluster by defining a `ProvisionedCluster` resource. This resource requires several properties such as `resourceGroupName`, `identity`, `location`, `properties`, and so on. You need to ensure that your Pulumi program is authenticated with Azure and has the necessary permissions to create resources.

### Step 2: Installing the Helm Chart
Once the AKS cluster is ready, we will use the `Chart` resource from the `kubernetes.helm.sh/v3` package to deploy the `scorpiobroker` Helm chart on the AKS cluster. For the `Chart` resource, you must specify the repository URL of the Helm chart and the version you wish to deploy.

### Step 3: Configuring kubectl
Before the Helm chart can be deployed, Pulumi needs to configure `kubectl` to communicate with the AKS cluster. This usually involves obtaining the kubeconfig from the created AKS cluster resource.

Now let's see a Pulumi program accomplishing this task:

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

// Step 1: Create an AKS cluster
const resourceGroup = new azure.resources.ResourceGroup("resourceGroup", {
    // Define resource group properties if necessary
});

const adApp = new azuread.Application("adApp", {
    // Define application properties if necessary
});

const adSp = new azuread.ServicePrincipal("adSp", {
    applicationId: adApp.applicationId,
});

const adSpPassword = new azuread.ServicePrincipalPassword("adSpPassword", {
    servicePrincipalId: adSp.id,
    // Define service principal password properties if necessary
});

const k8sCluster = new azure.containerservice.KubernetesCluster("k8sCluster", {
    resourceGroupName: resourceGroup.name,
    location: resourceGroup.location,
    defaultNodePool: {
        name: "default",
        nodeCount: 2,
        vmSize: "Standard_DS2_v2",
    },
    dnsPrefix: pulumi.interpolate(`${resourceGroup.name}-kube`),
    servicePrincipal: {
        clientId: adApp.applicationId,
        clientSecret: adSpPassword.value,
    },
    // Define additional cluster properties if necessary
});

// Export the kubeconfig to access the AKS cluster
const creds = pulumi.all([k8sCluster.name, resourceGroup.name]).apply(([name, rgName]) => {
    return azure.containerservice.listManagedClusterUserCredentials({
        resourceGroupName: rgName,
        resourceName: name,
    });
});
const encoded = creds.kubeconfigs[0].value;
export const kubeconfig = pulumi.secret(encoded.apply(enc => Buffer.from(enc, "base64").toString()));

// Use the kubeconfig to create a k8s provider instance
const k8sProvider = new k8s.Provider("k8sProvider", {
    kubeconfig: kubeconfig,
});

// Step 2: Deploy the Helm chart using the new instance of the k8s provider.
const chart = new k8s.helm.v3.Chart("scorpiobroker-chart", {
    repo: "exampleRepo", // Replace with the correct repository for the scorpiobroker chart
    chart: "scorpiobroker",
    version: "1.0.0", // Specify the chart version
    // You can define values to customize the deployment if necessary
}, { provider: k8sProvider });

// Useful for debugging: output the public IP address for the AKS cluster service endpoint
export const publicEndpoint = k8sCluster.privateFqdn;
```

In this program:

- We set up a resource group and AKS cluster using the `azure-native` package.
- We export the kubeconfig from the AKS cluster, which will be used to configure `kubectl`.
- We created a provider for Kubernetes that uses our kubeconfig.
- We deploy the `scorpiobroker` Helm chart using a Helm Chart resource.

Note some placeholders like `exampleRepo` which you would need to replace with actual repository URLs where the `scorpiobroker` Helm chart is hosted.

After completing the Pulumi program, you can deploy your infrastructure as code by running:

```shell
pulumi up
```

This will prompt you to confirm the deployment after showing you a preview of the resources that will be created. If everything looks correct, you can proceed with the deployment. After the deployment completes, Pulumi will output any exported values, such as the kubeconfig and the public endpoint. You can use these outputs to interact with your AKS cluster.

Keep in mind that Helm charts can have a set of values that you can override as per your requirements (`values` property), so you should refer to the documentation for `scorpiobroker` to tailor your deployment.

Remember to manage your Pulumi stacks responsibly. You can clean up the resources once you're done with them to avoid incurring costs:

```shell
pulumi destroy
```

Always review the preview before confirming the destruction of resources to ensure you don’t remove anything unintentionally.