This project demonstrates how to containerize a web application using Docker and automate its deployment, scaling, and management with Cyclops and Kubernetes. The project includes a Dockerfile for creating the container image, Kubernetes configuration files for deployment, auto-scaling, and service management, and instructions for setting up and using Cyclops.
- Containerization: Use Docker to create an image of the web application.
- Automated Deployment: Deploy the Docker container to a Kubernetes cluster using Cyclops.
- Auto-scaling: Set up auto-scaling based on the application's CPU and memory usage.
- Rolling Updates: Implement rolling updates for seamless application upgrades.
- Monitoring and Alerts: Basic monitoring and alerting setup.
- Docker: Ensure Docker is installed on your machine. Docker Installation Guide
- Kubernetes: A running Kubernetes cluster. Kubernetes Setup Guide
- Cyclops: Installed and configured for Kubernetes management. Cyclops Documentation
- Basic Knowledge: Familiarity with Docker, Kubernetes, and Cyclops.
Create a Docker image for the web application:
docker build -t web-app:latest .
Push the Docker image to a container registry (e.g., Docker Hub):
docker tag web-app:latest your-dockerhub-username/web-app:latest
docker push your-dockerhub-username/web-app:latest
Use Cyclops to apply Kubernetes configurations:
cyclops apply -f web-app-deployment.yaml
cyclops apply -f web-app-autoscaler.yaml
cyclops apply -f web-app-service.yaml
Check the status of your deployment, auto-scaler, and service:
kubectl get deployments
kubectl get hpa
kubectl get services
Use the LoadBalancer IP or URL provided by Kubernetes to access your web application.
- Dockerfile: Defines the Docker image for the web application.
- nginx.conf: Configuration file for Nginx.
- web-app-deployment.yaml: Kubernetes Deployment configuration for the web application.
- web-app-autoscaler.yaml: Kubernetes Horizontal Pod Autoscaler configuration.
- web-app-service.yaml: Kubernetes Service configuration for exposing the web application.
Integrate Prometheus and Alertmanager for monitoring and alerting. Configure Prometheus to scrape metrics from the web application and set up Alertmanager for notifications.
- Deployment Issues: Check logs and events using
kubectl logs
andkubectl describe
. - Scaling Issues: Verify autoscaler settings and resource usage.
- Service Access: Ensure the LoadBalancer or NodePort is properly configured.
Contributions are welcome! Please fork the repository and submit a pull request with your changes. For any questions or suggestions, feel free to open an issue on the GitHub repository.