Deploy the elk-frontend helm chart on Azure Kubernetes Service (AKS)

Question

Pulumi · Accepted Answer

To deploy the `elk-frontend` Helm chart on Azure Kubernetes Service (AKS), we will undertake the following steps:

1. Set up the Azure Kubernetes Service (AKS) cluster using Pulumi.
2. Deploy the `elk-frontend` Helm chart to the AKS cluster using Pulumi's Kubernetes provider.

We'll create the AKS cluster first, and then deploy the Helm chart onto this cluster. Pulumi enables you to seamlessly create cloud resources and workloads such as Kubernetes services using code and programming languages.

Below is a Pulumi TypeScript program that performs these operations:

### Step 1: Create an AKS Cluster

First, we configure the AKS cluster. We define the AKS cluster with the desired node count, node size, and default node pool settings. Using the `azure-native` provider, we interact directly with Azure's APIs in a native way without any abstractions.

### Step 2: Deploy the Helm Chart

After creating the AKS cluster, we will deploy the Helm chart. We need to configure Pulumi to use the Kubernetes provider that connects to the created AKS cluster. The `kubernetes.helm.v3.Chart` resource will deploy the Helm chart on this cluster.

Let's write the Pulumi program:

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

// Step 1: Create an Azure Resource Group
const resourceGroup = new azure_native.resources.ResourceGroup("aksResourceGroup");

// Step 2: Create the AKS cluster
const aksCluster = new azure_native.containerservice.ManagedCluster("aksCluster", {
    resourceGroupName: resourceGroup.name,
    agentPoolProfiles: [{
        count: 1,
        maxPods: 110,
        mode: "System",
        name: "agentpool",
        osDiskSizeGB: 30,
        osType: "Linux",
        vmSize: "Standard_D2_v2",
    }],
    dnsPrefix: "aks",
    enableRBAC: true,
    kubernetesVersion: "1.19.11",
    linuxProfile: {
        adminUsername: "aksuser",
        ssh: {
            publicKeys: [{
                keyData: "ssh-rsa AAAAB3Nz...",
            }],
        },
    },
    nodeResourceGroup: "nodeResourceGroup",
    resourceGroupName: resourceGroup.name,
});

// Export the AKS cluster's kubeconfig
export const kubeconfig = pulumi.all([aksCluster.name, resourceGroup.name]).apply(([name, rgName]) =>
    azure_native.containerservice.listManagedClusterUserCredentials({
        resourceName: name,
        resourceGroupName: rgName,
    }).then(creds => {
        const encoded = creds.kubeconfigs[0].value;
        return Buffer.from(encoded, 'base64').toString();
    })
);

// Step 3: Configure Kubernetes provider to connect to the AKS cluster
const provider = new k8s.Provider("k8sProvider", {
    kubeconfig: kubeconfig,
});

// Step 4: Deploy the elk-frontend Helm chart on the cluster
const elkChart = new k8s.helm.v3.Chart("elk-frontend", {
    chart: "elk-frontend",
    version: "1.0.0",
    fetchOpts:{
        repo: "http://charts.myorg.com", // Specify the Helm chart repository URL here
    },
}, { provider });

// Export the frontend service public endpoint
export const frontendIp = elkChart.getResourceProperty("v1/Service", "elk-frontend", "status")
    .apply(status => status.loadBalancer.ingress[0].ip);
```

### Explanation and Steps

- We begin by importing necessary Pulumi packages for interacting with Azure and Kubernetes.
- We create a new Azure Resource Group `aksResourceGroup` that will hold all related resources for the AKS cluster.
- We define the AKS cluster `aksCluster` with a single system node pool for simplicity. We also set RBAC, the Kubernetes version and set up an SSH public key for access.
- We then generate a kubeconfig using the `listManagedClusterUserCredentials` function from Azure, which enables us to connect to our AKS cluster programmatically.
- We instantiate the Kubernetes provider `provider` with the kubeconfig from the newly created cluster.
- We then deploy the `elk-frontend` Helm chart using the Kubernetes provider with the `Chart` resource from the Pulumi Kubernetes Helm package. You should replace the `chart` and `repo` parameters with the appropriate values for the `elk-frontend` Helm chart.
- Finally, we export two crucial outputs from our program: the `kubeconfig` for potential external use, and the public IP address of the frontend service `frontendIp`, once the deployment is complete and services are allocated IP addresses by Azure.

To run this program, save it in a `index.ts` file, ensure you have the [Pulumi CLI installed](https://www.pulumi.com/docs/get-started/azure/begin/), and run `pulumi up`. It will prompt you for confirmation before creating the resources in Azure.

Remember: Before you run `pulumi up`, authenticate with Azure CLI using `az login` and set up the Pulumi Azure Native provider with the required credentials via environment variables or Pulumi config.