Quickstart: Deploy an Azure Kubernetes Service cluster using PowerShell
Azure Kubernetes Service (AKS) is a managed Kubernetes service that lets you quickly deploy and manage clusters. In this quickstart, you will:
- Deploy an AKS cluster using PowerShell.
- Run a sample multi-container application with a web front-end and a Redis instance in the cluster.
This quickstart assumes a basic understanding of Kubernetes concepts. For more information, see Kubernetes core concepts for Azure Kubernetes Service (AKS).
If you're running PowerShell locally, install the Az PowerShell module and connect to your Azure account using the Connect-AzAccount cmdlet. For more information about installing the Az PowerShell module, see Install Azure PowerShell.
The identity you are using to create your cluster has the appropriate minimum permissions. For more details on access and identity for AKS, see Access and identity options for Azure Kubernetes Service (AKS).
If you have multiple Azure subscriptions, select the appropriate subscription ID in which the resources should be billed using the Set-AzContext cmdlet.
Set-AzContext -SubscriptionId 00000000-0000-0000-0000-000000000000
Use Azure Cloud Shell
Azure hosts Azure Cloud Shell, an interactive shell environment that you can use through your browser. You can use either Bash or PowerShell with Cloud Shell to work with Azure services. You can use the Cloud Shell preinstalled commands to run the code in this article, without having to install anything on your local environment.
To start Azure Cloud Shell:
|Select Try It in the upper-right corner of a code block. Selecting Try It doesn't automatically copy the code to Cloud Shell.|
|Go to https://shell.azure.com, or select the Launch Cloud Shell button to open Cloud Shell in your browser.|
|Select the Cloud Shell button on the menu bar at the upper right in the Azure portal.|
To run the code in this article in Azure Cloud Shell:
Start Cloud Shell.
Select the Copy button on a code block to copy the code.
Paste the code into the Cloud Shell session by selecting Ctrl+Shift+V on Windows and Linux, or by selecting Cmd+Shift+V on macOS.
Select Enter to run the code.
Create a resource group
An Azure resource group is a logical group in which Azure resources are deployed and managed. When you create a resource group, you will be prompted to specify a location. This location is:
- The storage location of your resource group metadata.
- Where your resources will run in Azure if you don't specify another region during resource creation.
The following example creates a resource group named myResourceGroup in the eastus region.
Create a resource group using the New-AzResourceGroup cmdlet.
New-AzResourceGroup -Name myResourceGroup -Location eastus
The following output example resembles successful creation of the resource group:
ResourceGroupName : myResourceGroup Location : eastus ProvisioningState : Succeeded Tags : ResourceId : /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/myResourceGroup
Create AKS cluster
Create an AKS cluster named myAKSCluster with one node.
New-AzAksCluster -ResourceGroupName myResourceGroup -Name myAKSCluster -NodeCount 1 -GenerateSshKey -WorkspaceResourceId <WORKSPACE_RESOURCE_ID>
After a few minutes, the command completes and returns information about the cluster.
When you create an AKS cluster, a second resource group is automatically created to store the AKS resources. For more information, see Why are two resource groups created with AKS?
Connect to the cluster
To manage a Kubernetes cluster, use the Kubernetes command-line client, kubectl.
kubectl is already installed if you use Azure Cloud Shell.
kubectllocally using the
kubectlto connect to your Kubernetes cluster using the Import-AzAksCredential cmdlet. The following cmdlet downloads credentials and configures the Kubernetes CLI to use them.
Import-AzAksCredential -ResourceGroupName myResourceGroup -Name myAKSCluster
Verify the connection to your cluster using the kubectl get command. This command returns a list of the cluster nodes.
kubectl get nodes
The following output example shows the single node created in the previous steps. Make sure the node status is Ready:
NAME STATUS ROLES AGE VERSION aks-nodepool1-31718369-0 Ready agent 6m44s v1.15.10
Deploy the application
A Kubernetes manifest file defines a cluster's desired state, such as which container images to run.
- The sample Azure Vote Python applications.
- A Redis instance.
Two Kubernetes Services are also created:
- An internal service for the Redis instance.
- An external service to access the Azure Vote application from the internet.
Create a file named
- If you use the Azure Cloud Shell, this file can be created using
nanoas if working on a virtual or physical system
- If you use the Azure Cloud Shell, this file can be created using
Copy in the following YAML definition:
apiVersion: apps/v1 kind: Deployment metadata: name: azure-vote-back spec: replicas: 1 selector: matchLabels: app: azure-vote-back template: metadata: labels: app: azure-vote-back spec: nodeSelector: "kubernetes.io/os": linux containers: - name: azure-vote-back image: mcr.microsoft.com/oss/bitnami/redis:6.0.8 env: - name: ALLOW_EMPTY_PASSWORD value: "yes" resources: requests: cpu: 100m memory: 128Mi limits: cpu: 250m memory: 256Mi ports: - containerPort: 6379 name: redis --- apiVersion: v1 kind: Service metadata: name: azure-vote-back spec: ports: - port: 6379 selector: app: azure-vote-back --- apiVersion: apps/v1 kind: Deployment metadata: name: azure-vote-front spec: replicas: 1 selector: matchLabels: app: azure-vote-front template: metadata: labels: app: azure-vote-front spec: nodeSelector: "kubernetes.io/os": linux containers: - name: azure-vote-front image: mcr.microsoft.com/azuredocs/azure-vote-front:v1 resources: requests: cpu: 100m memory: 128Mi limits: cpu: 250m memory: 256Mi ports: - containerPort: 80 env: - name: REDIS value: "azure-vote-back" --- apiVersion: v1 kind: Service metadata: name: azure-vote-front spec: type: LoadBalancer ports: - port: 80 selector: app: azure-vote-front
Deploy the application using the kubectl apply command and specify the name of your YAML manifest:
kubectl apply -f azure-vote.yaml
The following example resembles output showing the successfully created deployments and services:
deployment.apps/azure-vote-back created service/azure-vote-back created deployment.apps/azure-vote-front created service/azure-vote-front 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.
Monitor progress using the kubectl get service command with the
kubectl get service azure-vote-front --watch
The EXTERNAL-IP output for the
azure-vote-front service will initially show as pending.
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE azure-vote-front LoadBalancer 10.0.37.27 <pending> 80:30572/TCP 6s
Once 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:
azure-vote-front LoadBalancer 10.0.37.27 188.8.131.52 80:30572/TCP 2m
To see the Azure Vote app in action, open a web browser to the external IP address of your service.
Delete the cluster
To avoid Azure charges, if you don't plan on going through the tutorials that follow, clean up your unnecessary resources. Use the Remove-AzResourceGroup cmdlet to remove the resource group, container service, and all related resources.
Remove-AzResourceGroup -Name myResourceGroup
The AKS cluster was created with system-assigned managed identity (default identity option used in this quickstart), the identity is managed by the platform and does not require removal.
In this quickstart, you deployed a Kubernetes cluster and then deployed a sample multi-container application to it.
To learn more about AKS, and walk through a complete code to deployment example, continue to the Kubernetes cluster tutorial.
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