Kiro Workshop - Enhanced Sudoku Web Application

A comprehensive web application project featuring a modern Sudoku game with AWS cloud deployment, monitoring, and containerization.

🎮 Features

Sudoku Game

• Interactive 9x9 Sudoku grid with modern UI
• Real-time validation and visual feedback
• Multiple puzzle difficulties
• Timer and mistake tracking
• Auto-solve functionality for beginners
• Responsive design (desktop & mobile)

Cloud Infrastructure

• AWS S3: Private bucket hosting
• CloudFront: Global CDN distribution
• CloudWatch: Comprehensive monitoring and alerting
• Real User Monitoring (RUM): Client-side analytics
• X-Ray: Performance tracing

DevOps & Deployment

• Terraform: Infrastructure as Code
• Docker: Containerized deployment
• GitHub: Version control and CI/CD ready

🚀 Quick Start

Local Development

# Clone the repository
git clone https://github.com/YOUR_USERNAME/kiro-workshop.git
cd kiro-workshop

# Open in browser
open sudoku.html

Docker Deployment

# Build and run container
docker build -t sudoku-app .
docker run -d -p 8080:80 --name sudoku-game sudoku-app

# Access at http://localhost:8080

AWS Deployment

cd terraform
cp terraform.tfvars.example terraform.tfvars
# Edit terraform.tfvars with your settings

terraform init
terraform plan
terraform apply

📁 Project Structure

kiro-workshop/
├── sudoku.html                 # Main web application
├── sudoku-architecture.drawio  # Architecture diagram
├── Dockerfile                  # Container configuration
├── DOCKER.md                   # Docker deployment guide
├── terraform/                  # AWS infrastructure
│   ├── main.tf                # Core infrastructure
│   ├── monitoring.tf          # CloudWatch setup
│   ├── variables.tf           # Configuration variables
│   └── outputs.tf             # Resource outputs
└── README.md                   # This file

🏗️ Architecture

The application uses a modern serverless architecture:

• Frontend: Static HTML/CSS/JavaScript
• Hosting: AWS S3 (private bucket)
• CDN: CloudFront with Origin Access Control
• Monitoring: CloudWatch + RUM + X-Ray
• Security: HTTPS-only, no direct S3 access

📊 Monitoring & Analytics

• Performance Metrics: Page load times, user interactions
• Error Tracking: JavaScript errors and HTTP failures
• Usage Analytics: Geographic distribution, device types
• Alerting: Email notifications for issues
• Dashboard: Real-time metrics visualization

🛠️ Technologies Used

• Frontend: HTML5, CSS3, JavaScript (ES6+)
• Infrastructure: Terraform, AWS (S3, CloudFront, CloudWatch)
• Containerization: Docker, Nginx
• Monitoring: CloudWatch RUM, X-Ray
• Version Control: Git, GitHub

📈 Performance Features

• Optimized Validation: Cached results, memory-based board state
• Efficient UI Updates: Batched DOM operations, debounced events
• Global CDN: Edge caching, compression, HTTP/2
• Responsive Design: Mobile-first, scalable components

🔒 Security Features

• Private S3 bucket with public access blocked
• CloudFront Origin Access Control (OAC)
• HTTPS-only access with automatic redirect
• No direct S3 public endpoints

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📝 License

This project is open source and available under the MIT License.

🎯 Workshop Learning Objectives

This project demonstrates:

• Modern web development practices
• Cloud-native architecture design
• Infrastructure as Code with Terraform
• Containerization with Docker
• Comprehensive monitoring and observability
• DevOps best practices