Deploy the quickstart-python helm chart on Azure Kubernetes Service (AKS)

Question

Pulumi · Accepted Answer

To deploy the `quickstart-python` Helm chart on Azure Kubernetes Service (AKS), we'll need to perform a few steps:

1. Create an AKS cluster using the `azure-native` provider.
2. Install the Helm chart on the AKS cluster.

Here are the steps in detail:

### Step 1: Create an AKS Cluster

We'll start by creating an instance of `azure.containerservice.KubernetesCluster`. This represents the AKS cluster in our Pulumi program.

### Step 2: Deploy a Helm Chart onto the AKS Cluster

Once the AKS cluster is up and running, we'll need to configure Pulumi to use the cluster's kubeconfig to deploy resources into it. Pulumi does this by leveraging the `kubernetes` provider. We will then use the `kubernetes.helm.v3.Chart` resource to deploy our Helm chart. In this case, the `quickstart-python` Helm chart.

Now, let's write the Pulumi program in TypeScript to perform these actions. The program below assumes that you've already configured Pulumi for Azure with the needed credentials and have the Pulumi CLI installed.

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

// Step 1: Create an AKS Cluster
const aksCluster = new azure.containerservice.KubernetesCluster("aksCluster", {
    // Define your resource group name where the AKS cluster will be created
    resourceGroupName: "yourResourceGroupName",
    // Define your AKS cluster properties
    defaultNodePool: {
        vmSize: "Standard_DS2_v2",
        minCount: 1,
        maxCount: 2,
        enableAutoScaling: true,
    },
    // Add more configurations for AKS as per your requirements
    dnsPrefix: "aks-example",
    // Add Kubernetes version you wish to deploy
    kubernetesVersion: "1.20.9"
});

// Export the kubeconfig for local use
export const kubeconfig = aksCluster.kubeConfigRaw;

// Step 2: Deploy the quickstart-python Helm chart to the AKS cluster
const helmChart = new k8s.helm.v3.Chart("quickstart-python", {
    // Specify the Helm chart details
    chart: "quickstart-python",
    version: "0.1.0", // use the chart version you need
    fetchOpts:{
        repo: "http://helm-repo-path/", // specify the Helm repo URL if the chart is not from the default repo
    },
    // Pass the values to the Helm chart, if any
    values: {
        serviceType: "LoadBalancer",
    },
}, { provider: new k8s.Provider("k8s-provider", { kubeconfig: kubeconfig }) });

// Optionally, you can export the Helm release status
export const helmStatus = helmChart.status;
```

In this program:

- We're creating an AKS cluster with an autoscaling node pool in Azure.
- We're fetching and exporting the kubeconfig of the cluster so it can be used outside of the Pulumi program if needed.
- We're deploying the Helm chart `quickstart-python` to our AKS cluster. The chart details should be customized with real values specific to your Helm chart. For `repo`, use the actual Helm repository where `quickstart-python` is hosted.
- Note that the `helmChart` resource is making use of a k8s provider configured with the kubeconfig from our newly created AKS cluster, ensuring that it deploys the Helm chart to the right place.
- We're also exporting the status of the Helm deployment which could be useful for CI/CD pipelines or for programmatic checks.

Remember to replace placeholders like `yourResourceGroupName` and `http://helm-repo-path/` with your actual Azure resource group name and Helm repository URL where the `quickstart-python` chart is located.

After defining your resources in the Pulumi program, you would run `pulumi up` to create the resources in Azure, deploy your Helm chart on AKS, and see the outputs of the deployment process.