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 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 don't have an Azure subscription, create an Azure free account before you begin.
If you're unfamiliar with the Azure Cloud Shell, review Overview of Azure Cloud Shell.
The identity you're 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).
Create an AKS cluster
Sign in to the Azure portal.
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 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 for the AKS cluster, and leave the default value selected for Kubernetes version.
- Select 99.5% for API server availability.
- Primary node pool:
- Leave the default values selected.
You can change the preset configuration when creating your cluster by selecting Learn more and compare presets 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: Access.
On the Access page, configure the following options:
- The default value for Resource identity is System-assigned managed identity. Managed identities provide an identity for applications to use when connecting to resources that support Azure Active Directory (Azure AD) authentication. For more details about managed identities, see What are managed identities for Azure resources?.
- The Kubernetes role-based access control (RBAC) option is the default value to provide more fine-grained control over access to the Kubernetes resources deployed in your AKS cluster.
By default, Basic networking is used, and Container insights is enabled.
Select Next: Networking when complete.
Keep the default Networking options. At the bottom of the screen, click Next: Integrations.
On the Integrations page, if you want to enable the recommended out-of-the-box alerts for AKS clusters, select Enable recommended alert rules. You can see the list of alerts that are automatically enabled if you select this option.
Click Review + create. When you navigate to the Review + create tab, Azure runs validation on the settings that you have chosen. If validation passes, you can proceed to create the AKS cluster by selecting Create. If validation fails, then it indicates which settings need to be modified.
It takes a few minutes to create the AKS cluster. When your deployment is complete, navigate to your resource by either:
Selecting Go to resource, or
Browsing to the AKS cluster resource group and selecting the AKS resource. In this example you browse for myResourceGroup and select the resource myAKSCluster.
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. If you're unfamiliar with the Cloud Shell, review Overview of 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 or Azure PowerShell 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
Deploy 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, open an editor and create a file named
Paste 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
For a breakdown of YAML manifest files, see Deployments and YAML manifests.
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 10.0.37.27 184.108.40.206 80:30572/TCP 2m
To see the Azure Vote app in action, open a web browser to the external IP address of your service.
To avoid Azure charges, if you don't plan on going through the tutorials that follow, clean up your unnecessary resources. Select the Delete button on the AKS cluster dashboard. You can also use the az group delete command or the Remove-AzResourceGroup cmdlet to remove the resource group, container service, and all related resources.
az group delete --name myResourceGroup --yes --no-wait
The AKS cluster was created with a system-assigned managed identity. This identity is managed by the platform and doesn't 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 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.
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