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

Question

Pulumi · Accepted Answer

To deploy the OrangeHRM Helm chart on Azure Kubernetes Service (AKS), we will proceed through the following steps:

1. Provision an AKS cluster.
2. Configure `kubectl` to connect with our provisioned AKS cluster.
3. Use the Helm chart to deploy OrangeHRM onto the AKS cluster.

Let's begin by provisioning an AKS cluster. For this, we'll use Pulumi to define the necessary Azure infrastructure. We'll be utilizing the `azure-native` provider, as it enables us to work directly with Azure resources in a native way.

For the AKS cluster, we need a resource group and an AKS cluster definition. We'll also set the region to deploy the resources.

Next, we'll configure our `kubectl` to connect with AKS using the `kubeconfig` we get from the AKS cluster resource.

Once `kubectl` is set up, we'll deploy the OrangeHRM Helm chart to our AKS cluster. For deploying Helm charts with Pulumi, we will use the `kubernetes` provider and its `helm.sh/v3.Chart` resource.

Below is the complete Pulumi TypeScript program that accomplishes these steps:

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

// Create an Azure Resource Group
const resourceGroup = new azure_native.resources.ResourceGroup("resourceGroup", {
    resourceGroupName: "myResourceGroup",
    location: "WestUS", // Choose the appropriate Azure region
});

// Create an AKS Cluster
const cluster = new azure_native.containerservice.ManagedCluster("cluster", {
    resourceGroupName: resourceGroup.name,
    location: resourceGroup.location,
    agentPoolProfiles: [{
        count: 1,
        maxPods: 110,
        mode: "System",
        name: "agentpool",
        osType: "Linux",
        vmSize: "Standard_D2_v2", // You can choose a different VM size based on your needs
    }],
    dnsPrefix: "aks-orangehrm",
});

// Export the Kubeconfig to access the AKS cluster
export const kubeconfig = pulumi.
    all([cluster.name, resourceGroup.name]).
    apply(([clusterName, resourceGroupName]) =>
        azure_native.containerservice.listManagedClusterUserCredentials({
            resourceGroupName: resourceGroupName,
            resourceName: clusterName,
        })).apply(creds => {
            const encoded = creds.kubeconfigs[0].value;
            if (encoded === undefined) {
                throw new Error("Kubeconfig not available");
            }
            return Buffer.from(encoded, "base64").toString(); 
        }
);

// Define a Kubernetes provider instance that uses our AKS kubeconfig
const k8sProvider = new k8s.Provider("k8sProvider", {
    kubeconfig: kubeconfig,
});

// Deploy the OrangeHRM Helm Chart onto AKS
const orangehrm = new k8s.helm.v3.Chart("orangehrm", {
    chart: "orangehrm",
    version: "0.1.0", // Specify the exact chart version you want to deploy
    fetchOpts: {
        repo: "https://helm.oci.oracle.com/helm", // The repository URL for Oracle Helm charts
    },
    // Set any values here that you would pass to `helm install --set key=value`
    values: {},
}, { provider: k8sProvider });

// Export the public IP to access OrangeHRM
export const orangehrmEndpoint = orangehrm.getResourceProperty("v1/Service", "orangehrm-orangehrm", "status")
    .apply(status => status.loadBalancer.ingress[0].ip);
```

This program sets up an AKS cluster within the specified resource group. It then fetches the kubeconfig for the AKS cluster which is necessary for `kubectl` to interact with the cluster. Using this kubeconfig, we then define a Pulumi Kubernetes provider.

After we've defined our Kubernetes provider, we use it to deploy the OrangeHRM Helm chart to our AKS cluster. Finally, we export the endpoint of the service that gets created as a result of the Helm chart deployment, which can be used to access the OrangeHRM application.

Remember to replace `version` in the `Chart` resource with the appropriate version of the OrangeHRM Helm chart you want to install. Additionally, you may need to set proper values under `values` if there are specific configurations you want to apply.

To run this Pulumi program, you would typically run `pulumi up` after saving your code in a file named `index.ts`, installing the necessary node dependencies with `npm install`, and setting up your Pulumi stack with `pulumi stack init`.