Create Kubernetes clusters using Azure CLI
Applies to: Azure Stack HCI, version 23H2
This article describes how to create Kubernetes clusters in Azure Stack HCI using Azure CLI. The workflow is as follows:
- Create a Kubernetes cluster in Azure Stack HCI 23H2 using Azure CLI. The cluster is Azure Arc-connected by default.
- While creating the cluster, you provide a Microsoft Entra group that contains the list of Microsoft Entra users with Kubernetes cluster administrator access.
- Access the cluster using kubectl and your Microsoft Entra ID.
- Run a sample multi-container application with a web front end and a Redis instance in the cluster.
Before you begin
- Before you begin, make sure you have the following details from your on-premises infrastructure administrator:
- Azure subscription ID - The Azure subscription ID where Azure Stack HCI is used for deployment and registration.
- Custom Location ID - Azure Resource Manager ID of the custom location. The custom location is configured during the Azure Stack HCI cluster deployment. Your infrastructure admin should give you the Resource Manager ID of the custom location. This parameter is required in order to create Kubernetes clusters. You can also get the Resource Manager ID using
az customlocation show --name "<custom location name>" --resource-group <azure resource group> --query "id" -o tsv, if the infrastructure admin provides a custom location name and resource group name. - Network ID - Azure Resource Manager ID of the Azure Stack HCI logical network created following these steps. Your admin should give you the ID of the logical network. This parameter is required in order to create Kubernetes clusters. You can also get the Azure Resource Manager ID using
az stack-hci-vm network lnet show --name "<lnet name>" --resource-group <azure resource group> --query "id" -o tsvif you know the resource group in which the logical network was created.
- You can run the steps in this article in a local development machine to create a Kubernetes cluster on your remote Azure Stack HCI deployment. Make sure you have the latest version of Az CLI on your development machine. You can also choose to upgrade your Az CLI version using
az upgrade. - To connect to the Kubernetes cluster from anywhere, create a Microsoft Entra group and add members to it. All the members in the Microsoft Entra group have cluster administrator access to the cluster. Make sure to add yourself as a member to the Microsoft Entra group. If you don't add yourself, you cannot access the Kubernetes cluster using kubectl. For more information about creating Microsoft Entra groups and adding users, see Manage Microsoft Entra groups and group membership.
- Download and install kubectl on your development machine. The Kubernetes command-line tool, kubectl, enables you to run commands against Kubernetes clusters. You can use kubectl to deploy applications, inspect and manage cluster resources, and view logs.
Install the Azure CLI extension
Run the following command to install the necessary Azure CLI extensions:
az extension add -n aksarc --upgrade
az extension add -n customlocation --upgrade
az extension add -n stack-hci-vm --upgrade
az extension add -n connectedk8s --upgrade
Create a Kubernetes cluster
Use the az aksarc create command to create a Kubernetes cluster in AKS Arc. Make sure you sign in to Azure before running this command. If you have multiple Azure subscriptions, select the appropriate subscription ID using the az account set command.
az aksarc create -n $aksclustername -g $resource_group --custom-location $customlocationID --vnet-ids $logicnetId --aad-admin-group-object-ids $aadgroupID --generate-ssh-keys --load-balancer-count 0 --control-plane-ip $controlplaneIP
After a few minutes, the command completes and returns JSON-formatted information about the cluster.
Connect to the Kubernetes cluster
Now you can connect to your Kubernetes cluster by running the az connectedk8s proxy command from your development machine. Make sure you sign in to Azure before running this command. If you have multiple Azure subscriptions, select the appropriate subscription ID using the az account set command.
This command downloads the kubeconfig of your Kubernetes cluster to your development machine and opens a proxy connection channel to your on-premises Kubernetes cluster. The channel is open for as long as the command runs. Let this command run for as long as you want to access your cluster. If it times out, close the CLI window, open a fresh one, then run the command again.
You must have Contributor permissions on the resource group that hosts the Kubernetes cluster in order to run the following command successfully:
az connectedk8s proxy --name $aksclustername --resource-group $resource_group --file .\aks-arc-kube-config
Expected output:
Proxy is listening on port 47011
Merged "aks-workload" as current context in .\\aks-arc-kube-config
Start sending kubectl requests on 'aks-workload' context using
kubeconfig at .\\aks-arc-kube-config
Press Ctrl+C to close proxy.
Keep this session running and connect to your Kubernetes cluster from a different terminal/command prompt. Verify that you can connect to your Kubernetes cluster by running the kubectl get command. This command returns a list of the cluster nodes:
kubectl get node -A --kubeconfig .\aks-arc-kube-config
The following output example shows the node created in the previous steps. Make sure the node status is Ready:
NAME STATUS ROLES AGE VERSION
moc-l0ttdmaioew Ready control-plane,master 34m v1.24.11
moc-ls38tngowsl Ready <none> 32m v1.24.11
Deploy the application
A Kubernetes manifest file defines a cluster's desired state, such as which container images to run.
You can use a manifest to create all objects needed to run the Azure Vote application. This manifest includes two Kubernetes deployments:
- 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 azure-vote.yaml, and copy in the following manifest:
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:
kubectl apply -f azure-vote.yaml --kubeconfig .\\aks-arc-kube-config
The following example output shows the successfully created deployments and services:
deployment "azure-vote-back" created
service "azure-vote-back" created
deployment "azure-vote-front" created
service "azure-vote-front" created
Test the application
When the application runs, a Kubernetes service exposes the application frontend to the internet. This process can take a few minutes to complete.
Monitor progress using the kubectl get service command with the --watch argument.
kubectl get service azure-vote-front --watch --kubeconfig .\aks-arc-kube-config
The EXTERNAL-IP output for the azure-vote-front service initially shows 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 52.179.23.131 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
Run the az aksarc delete command to clean up the cluster you created:
az aksarc delete --resource-group $aksclustername --name $resource_group
Next steps
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