Today, we are deploying a Django app on an EKS Cluster and will Learn How to create an EKS cluster and deploy the app on it.
Step 1: Create a EC2 instance to run all the dependencies on the instance.
Step 2: Configure the AWS CLI, check the AWS version.
Step3: Install EKSCTL and Kubectl in the master machine(ie: EC2 instance).
*Step 4: Create an IAM user, give access to the user (administrator access) and create an access key to configure the AWS *
Step 5: Create a Cluster.
Step 6: Create an OIDC Provider.
_Now the Cluster is created in the EKS Services in AWS _
Step 7: Update Kubectl Context: so that local and remote are connected.
Step 8: Create a Folder and clone the app in the folder.
mkdir K8-practice
git clone app url
Step 9: Create a YAML file for the namespace in Kubernetes folder.
kubectl apply -f namespace.yml
kubectl get namespaces
Step 10: Create a yaml file for Pod in kubernetes folder.
kubectl apply -f pod.yml
kubectl get pods -n nginx
Step 11: Create a yaml for Deployment in kubernetes folder.
kubectl apply -f deployment.yml
kubectl get deployments -n nginx
Step 12: Create a Service yaml in kubernetes folder.
kubectl apply -f service.yml
kubectl get svc
kubectl port-forward service/my-service 8000:8000 --address=0.0.0.0
Reference:
Conclusion:
Overall, deploying Django on Amazon EKS helped me understand the complete workflow—from Dockerizing the application, pushing images to ECR, configuring Kubernetes manifests, and finally exposing the service through a load balancer. This approach not only improves performance and availability but also lays the foundation for implementing CI/CD and future scaling.
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