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Automated Web Development using Cyclops

Automated Web App Deployment with Cyclops, Docker, and Kubernetes

Overview

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.

Features

  • 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.

Prerequisites

Setup

1. Build Docker Image

Create a Docker image for the web application:

docker build -t web-app:latest .

2. Push Docker Image to Registry

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

3. Deploy to Kubernetes

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

4. Verify Deployment

Check the status of your deployment, auto-scaler, and service:

kubectl get deployments
kubectl get hpa
kubectl get services

5. Access the Web Application

Use the LoadBalancer IP or URL provided by Kubernetes to access your web application.

Configuration Files

  • 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.

Monitoring and Alerts

Integrate Prometheus and Alertmanager for monitoring and alerting. Configure Prometheus to scrape metrics from the web application and set up Alertmanager for notifications.

Troubleshooting

  • Deployment Issues: Check logs and events using kubectl logs and kubectl describe.
  • Scaling Issues: Verify autoscaler settings and resource usage.
  • Service Access: Ensure the LoadBalancer or NodePort is properly configured.

Contributing

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.