Getting Started with Azure Kubernetes Service (AKS)
Welcome to this introductory guide on Azure Kubernetes Service (AKS). In this post, we'll walk through the fundamental steps to get you up and running with AKS, Microsoft's managed Kubernetes offering on Azure.
What is Azure Kubernetes Service (AKS)?
Azure Kubernetes Service (AKS) simplifies deploying, managing, and automating Kubernetes applications. AKS provides:
- Managed Kubernetes Control Plane: Azure handles the management of your Kubernetes control plane, including upgrades, scaling, and monitoring.
- Simplified Cluster Creation: Easily create and configure Kubernetes clusters with just a few clicks or commands.
- Integration with Azure Services: Seamless integration with Azure networking, storage, identity, and monitoring solutions.
- Cost-Effective: Pay only for the worker nodes you provision. The Kubernetes control plane is free.
Prerequisites
Before you begin, ensure you have the following:
- An Azure subscription. If you don't have one, you can create a free account.
- The Azure CLI installed and configured. You can find installation instructions here.
Step 1: Create an AKS Cluster
The easiest way to create an AKS cluster is by using the Azure CLI. Open your terminal or command prompt and run the following command:
az group create --name MyResourceGroup --location eastus
az aks create --resource-group MyResourceGroup --name MyAKSCluster --node-count 1 --enable-addons monitoring --generate-ssh-keys
This command will:
- Create a resource group named
MyResourceGroupin the East US region. - Create an AKS cluster named
MyAKSClusterwith a single node. - Enable Azure Monitor for Kubernetes for better observability.
- Generate SSH keys for secure access to your nodes.
Step 2: Connect to Your Cluster
Once the cluster is created, you need to configure your Azure CLI to connect to it. Run the following command:
az aks get-credentials --resource-group MyResourceGroup --name MyAKSCluster
This command downloads credentials and configures your Kubernetes command-line tool (kubectl) to use them.
Step 3: Deploy a Sample Application
Now, let's deploy a simple application to your AKS cluster. We'll use a basic Nginx deployment.
Create a file named nginx-deployment.yaml with the following content:
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 2
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:latest
ports:
- containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
name: nginx-service
spec:
selector:
app: nginx
ports:
- protocol: TCP
port: 80
targetPort: 80
type: LoadBalancer
Apply this configuration to your cluster using kubectl:
kubectl apply -f nginx-deployment.yaml
Step 4: Verify Your Deployment
Check the status of your deployment:
kubectl get deployments
kubectl get pods
To get the external IP address of your Nginx service, run:
kubectl get service nginx-service
You should see an output with an EXTERNAL-IP. Open this IP address in your web browser, and you should see the Nginx welcome page!
Next Steps
Congratulations! You've successfully created an AKS cluster and deployed an application. From here, you can explore:
- Scaling your cluster: Learn how to adjust the number of nodes.
- Advanced deployment strategies: Explore rolling updates, canary deployments, and more.
- Integrating with Azure services: Connect AKS with Azure Databases, Azure Cache for Redis, and other PaaS offerings.
- Monitoring and logging: Leverage Azure Monitor for detailed insights into your cluster's performance.
This is just the beginning of your AKS journey. Dive deeper into the official Azure AKS documentation to unlock the full potential of Kubernetes on Azure.