Quickstart: Deploy an Azure Kubernetes Service (AKS) cluster using the Azure portal
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 the Azure portal.
- Run a multi-container application with a web front-end and a Redis instance in the cluster.
- Monitor the health of the cluster and pods that run your application.
This quickstart assumes a basic understanding of Kubernetes concepts. For more information, see Kubernetes core concepts for Azure Kubernetes Service (AKS).
If you don't have an Azure subscription, create a free account before you begin.
Sign in to the Azure portal at https://portal.azure.com.
Create an AKS cluster
On the Azure portal menu or from the Home page, select Create a resource.
Select Containers > Kubernetes Service.
On the Basics page, configure the following options:
- Project details:
- Select an Azure Subscription.
- Select or create an Azure Resource group, such as myResourceGroup.
- Cluster details:
- Ensure the the Preset configuration is Standard ($$). For more details on preset configurations, see Cluster configuration presets in the Azure portal.
- Enter a Kubernetes cluster name, such as myAKSCluster.
- Select a Region and Kubernetes version for the AKS cluster.
- Primary node pool:
- Leave the default values selected.
You can change the preset configuration when creating your cluster by selecting View all preset configurations and choosing a different option.
- Project details:
Select Next: Node pools when complete.
Keep the default Node pools options. At the bottom of the screen, click Next: Authentication.
Newly created Azure AD service principals may take several minutes to propagate and become available, causing "service principal not found" errors and validation failures in Azure portal. If you hit this bump, please visit our troubleshooting article for mitigation.
On the Authentication page, configure the following options:
- Create a new cluster identity by either:
- Leaving the Authentication field with System-assinged managed identity, or
- Choosing Service Principal to use a service principal.
- Select (new) default service principal to create a default service principal, or
- Select Configure service principal to use an existing one. You will need to provide the existing principal's SPN client ID and secret.
- Enable the Kubernetes role-based access control (Kubernetes RBAC) option to provide more fine-grained control over access to the Kubernetes resources deployed in your AKS cluster.
By default, Basic networking is used, and Azure Monitor for containers is enabled.
- Create a new cluster identity by either:
Click Review + create and then Create when validation completes.
It takes a few minutes to create the AKS cluster. When your deployment is complete, navigate to your resource by either:
Clicking Go to resource, or
Browsing to the AKS cluster resource group and selecting the AKS resource.
- Per example cluster dashboard below: browsing for myResourceGroup and selecting myAKSCluster resource.
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.
Open Cloud Shell using the
>_button on the top of the Azure portal.
To perform these operations in a local shell installation:
- Verify Azure CLI is installed.
- Connect to Azure via the
kubectlto connect to your Kubernetes cluster using the az aks get-credentials command. The following command downloads credentials and configures the Kubernetes CLI to use them.
az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
Verify the connection to your cluster using
kubectl getto return a list of the cluster nodes.
kubectl get nodes
Output shows the single node created in the previous steps. Make sure the node status is Ready:
NAME STATUS ROLES AGE VERSION aks-agentpool-12345678-vmss000000 Ready agent 23m v1.19.11 aks-agentpool-12345678-vmss000001 Ready agent 24m v1.19.11
Run the application
A Kubernetes manifest file defines a cluster's desired state, like which container images to run.
In this quickstart, you will 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.
In the Cloud Shell, use an editor to create a file named
azure-vote.yaml, such as:
nano azure-vote.yaml, or
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: "beta.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: "beta.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 applycommand and specify the name of your YAML manifest:
kubectl apply -f azure-vote.yaml
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 front end to the internet. This process can take a few minutes to complete.
To monitor progress, use 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 10.0.37.27 220.127.116.11 80:30572/TCP 2m
To see the Azure Vote app in action, open a web browser to the external IP address of your service.
Monitor health and logs
When you created the cluster, Azure Monitor for containers was enabled. Azure Monitor for containers provides health metrics for both the AKS cluster and pods running on the cluster.
Metric data takes a few minutes to populate in the Azure portal. To see current health status, uptime, and resource usage for the Azure Vote pods:
- Browse back to the AKS resource in the Azure portal.
- Under Monitoring on the left-hand side, choose Insights.
- Across the top, choose to + Add Filter.
- Select Namespace as the property, then choose <All but kube-system>.
- Select Containers to view them.
azure-vote-front containers will display, as shown in the following example:
To view logs for the
azure-vote-front pod, select View in Log Analytics from the top of the azure-vote-front | Overview area on the right side. These logs include the stdout and stderr streams from the container.
To avoid Azure charges, clean up your unnecessary resources. Select the Delete button on the AKS cluster dashboard. You can also use the az aks delete command in the Cloud Shell:
az aks delete --resource-group myResourceGroup --name myAKSCluster --no-wait
When you delete the cluster, the Azure Active Directory service principal used by the AKS cluster is not removed. For steps on how to remove the service principal, see AKS service principal considerations and deletion.
If you used a managed identity, the identity is managed by the platform and does not require removal.
Get the code
Pre-existing container images were used in this quickstart to create a Kubernetes deployment. The related application code, Dockerfile, and Kubernetes manifest file are available on GitHub.
In this quickstart, you deployed a Kubernetes cluster and then deployed a multi-container application to it. Access the Kubernetes web dashboard for your AKS cluster.
To learn more about AKS by walking through a complete example, including building an application, deploying from Azure Container Registry, updating a running application, and scaling and upgrading your cluster, continue to the Kubernetes cluster tutorial.