Deploy Windows applications

Applies to: AKS on Azure Stack HCI 22H2, AKS on Windows Server

This tutorial describes how to deploy an ASP.NET sample application in a Windows Server container to the Azure Kubernetes Service (AKS) cluster in AKS enabled by Arc, and then test and scale your application. You also learn how to join a Windows node to an Active Directory domain.

This tutorial assumes a basic understanding of Kubernetes concepts. For more information, see Kubernetes core concepts for AKS enabled by Azure Arc.

Before you begin

Make sure you met the following requirements:

When you follow the procedures:

  • Run the commands in a PowerShell administrative window.
  • Ensure that OS-specific workloads land on the appropriate container host. If your Kubernetes cluster has a mixture of Linux and Windows worker nodes, you can use either node selectors or taints and tolerations. For more information, see using node selectors and taints and tolerations.

Deploy the application

A Kubernetes manifest file defines a desired state for the cluster, such as which container images to run. In these procedures, a manifest is used to create all objects needed to run the ASP.NET sample application in a Windows Server container. This manifest includes a Kubernetes deployment for the ASP.NET sample application and an external Kubernetes service to access the application from the internet.

The ASP.NET sample application is provided as part of the .NET Framework samples and runs in a Windows Server container. AKS Arc requires that Windows Server containers are based on images of Windows Server 2019.

The Kubernetes manifest file must also define a node selector to tell your cluster to run your ASP.NET sample application's pod on a node that can run Windows Server containers.

Create a file named sample.yaml, and copy/paste the following YAML definition:

apiVersion: apps/v1
kind: Deployment
  name: sample
    app: sample
  replicas: 1
      name: sample
        app: sample
        "": windows
      - name: sample
            cpu: 1
            memory: 800M
            cpu: .1
            memory: 300M
          - containerPort: 80
      app: sample
apiVersion: v1
kind: Service
  name: sample
  type: LoadBalancer
  - protocol: TCP
    port: 80
    app: sample

Deploy the application using the kubectl apply command, and specify the name of your YAML manifest:

kubectl apply -f sample.yaml

The following example output shows that the deployment and service were created successfully:

deployment.apps/sample created
service/sample created

Test the application

When the application runs, a Kubernetes service exposes the application front end to the internet. This process can take a few minutes to complete. Occasionally, the service can take longer than a few minutes to provision. Allow up to 10 minutes in these cases.

To monitor progress, use the kubectl get service command with the --watch argument:

kubectl get service sample --watch

Initially, the EXTERNAL-IP for the sample service is shown as pending.

sample  LoadBalancer   <pending>     80:30572/TCP   6s

When the EXTERNAL-IP address changes from pending to an actual public IP address, use CTRL-C to stop the kubectl watch process. The following example output shows a valid public IP address assigned to the service:

NAME    TYPE           CLUSTER-IP   EXTERNAL-IP     PORT(S)        AGE
sample  LoadBalancer   80:30572/TCP   2m

To see the sample app in action, open a web browser to the external IP address of your service.

Screenshot of the home page for the ASP.NET sample application for Windows deployed on an AKS cluster.

If the connection times out when you try to load the page, verify whether the sample app is ready by running the kubectl get pods --watch command. Sometimes, the external IP address is available before the Windows container starts.

Scale application pods

We created a single replica of the application front end. To see the number and state of pods in your cluster, use the kubectl get command as follows:

kubectl get pods -n default

To change the number of pods in the sample deployment, use the kubectl scale command. The following example increases the number of front-end pods to 3:

kubectl scale --replicas=3 deployment/sample

Run kubectl get pods again to verify that the pods were created. After a minute or so, the additional pods are available in your cluster:

kubectl get pods -n default

Next steps