This project demonstrates the deployment of a Flask application on Amazon Elastic Kubernetes Service (EKS) using Docker containers. The application is containerized using Docker, deployed on Kubernetes, and hosted on AWS EKS. This README provides an overview of the project, including the technologies used, the deployment process, troubleshooting steps, and instructions for reproducing the setup.
- Amazon EKS (Elastic Kubernetes Service)
- Docker
- Flask (Python Web Framework)
- Terraform (Infrastructure as Code)
- AWS CLI (Command Line Interface)
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Clone the repository:
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Building Docker Image:
- Dockerfile in the
flask-appdirectory is used to build the Docker image. - Use
docker build -t flask-app .to build the Docker image locally.
- Dockerfile in the
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Pushing Docker Image to ECR (Elastic Container Registry):
- Tag the Docker image with your ECR repository URI.
- Use
docker tag flask-app:latest <ECR_URI>:latestto tag the image. - Push the image to ECR using
docker push <ECR_URI>:latest.
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Provisioning Infrastructure with Terraform:
- Navigate to the
terraformdirectory. - Run
terraform initto initialize the Terraform configuration. - Run
terraform planto preview the changes. - Run
terraform applyto provision the infrastructure on AWS.
- Navigate to the
-
Deploying Flask Application on EKS:
- Apply the Kubernetes deployment and service configurations using
kubectl apply -f deployment.yaml -f service.yaml.
- Apply the Kubernetes deployment and service configurations using
-
Accessing the Application:
- Once the application is deployed, access it using the external IP or DNS provided by the LoadBalancer service in AWS.
- Common issues include connectivity problems, configuration errors, or resource constraints.
- Please read the blog for any Troubleshooting tips
Contributions are welcome! If you have any suggestions, improvements, or feature requests, feel free to open an issue or create a pull request.
This project is licensed under the MIT License - see the LICENSE file for details.