Deploy an Azure Kubernetes Service cluster using the Azure CLI

Azure Kubernetes Service

 

AKS is a managed Kubernetes service that lets you quickly deploy and manage clusters. A multi-container application that includes a web front end and a Redis instance is run in the cluster. You then see how to monitor the health of the cluster and pods that run your application.

 

Prerequisites

 

Azure Cloud Subscription

 

Step 1 :

 

Login to azure portal (portal.azure.com)

 

Step 2 :

 

Open cloud shell

 

Click → Cloud Shell button on the top-right menu bar

 

            

 

Step 3 :

 

Create a Resource

 

Run the code on Cloud shell

az group create --name myResourceGroup --location eastus

You get following output :

{
"id": "/subscriptions/<guid>/resourceGroups/myResourceGroup",
"location": "eastus",
"managedBy": null,
"name": "myResourceGroup",
"properties": {
"provisioningState": "Succeeded"
},
"tags": null
}

Step 4 :

 

Create Azure Kubernetes Cluster

 

Run the code

az aks create --resource-group myResourceGroup --name myAKSCluster --node-count 1 --enable-addons monitoring –generate-ssh-keys

Step 5:

 

Connect to the Cluster

 

Run the code

az aks install-cli

Then, run the code

az aks get-credentials --resource-group myResourceGroup --name myAKSCluster

(This command downloads credentials and configures the Kubernetes CLI)

kubectl get nodes

(This command is to return a list of the cluster nodes.)

 

You get the following output :

NAME STATUS ROLES AGE VERSION

 

aks-nodepool1-31718369-0 Ready agent 6m44s v1.12.8

NAME STATUS ROLES AGE VERSION
aks-nodepool1-31718369-0 Ready agent 6m44s v1.12.8

Step 6:

 

Run the application

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: redis
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: microsoft/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

Step 7 :

 

Deploy the application

kubectl apply -f azure-vote.yaml

You get the following output:

deployment "azure-vote-back" created
service "azure-vote-back" created
deployment "azure-vote-front" created
service "azure-vote-front" created

Step 8:

 

Test the application

kubectl get service azure-vote-front –watch

You get the following output :

 

EXTERNAL-IP as pending.

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
azure-vote-front LoadBalancer 10.0.37.27 <pending> 80:30572/TCP 6s

EXTERNAL-IP address changes from pending to an actual public IP address, press CTRL-C 

 

You get the following output :

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.

 

 

Step 9 :

 

Delete the cluster

 

Use command

az group delete --name myResourceGroup --yes --no-wait

Conclusion 

 

That’s all. We have learned about deploying an Azure Kubernetes Service (AKS) cluster using the Azure CLI (Command Line Interface). I hope you understood how to deploy an Azure Kubernetes Service cluster using the Azure CLI on the Azure portal.