SaaS Metrics Benchmarking Platform

A comprehensive SaaS metrics benchmarking platform providing real-time comparative analytics across different revenue ranges and data sources. Built with enterprise-grade security and scalability on Replit's infrastructure.

Features

• 🔍 Interactive benchmark data visualization
• 📊 Statistical distribution analysis
• 🎯 Multi-dimensional filtering
• 🔐 Secure administrative interface
• 📈 14 key SaaS performance metrics
• 🚀 Real-time data processing
• 📱 Responsive design
• 🔄 Export capabilities

Architecture

The platform is built using a modern microservices architecture:

graph TD
    A[Web Application] --> B[API Gateway]
    B --> C[Auth Service]
    B --> D[Metrics Service]
    B --> E[Import Service]
    C & D & E --> F[(PostgreSQL)]
    C & D --> G[(Redis Cache)]

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Prerequisites

• Node.js >= 18.0.0
• npm >= 8.0.0
• Docker >= 20.10.0
• Docker Compose >= 2.0.0
• PostgreSQL 14
• Redis 6.2
• Google Cloud Platform account
• Replit account

Getting Started

1. Clone the repository:

git clone https://github.com/your-repo/saas-metrics.git
cd saas-metrics

2. Configure environment variables:

cp .env.example .env
# Edit .env with your configuration

3. Start development environment:

docker-compose up --build

4. Access the application:

• Frontend: http://localhost:3000
• API: http://localhost:4000
• API Documentation: http://localhost:4000/api-docs

Project Structure

saas-metrics/
├── src/
│   ├── web/                 # Frontend application
│   ├── backend/            # Backend services
│   │   ├── auth/          # Authentication service
│   │   ├── metrics/       # Metrics processing service
│   │   └── import/        # Data import service
│   └── shared/            # Shared utilities and types
├── docker/                # Docker configurations
├── docs/                  # Additional documentation
├── scripts/              # Utility scripts
└── tests/                # Test suites

Development

Local Development

# Start all services
docker-compose up

# Frontend development
docker-compose exec web npm run dev

# Backend development
docker-compose exec api npm run dev

# Run tests
docker-compose exec web npm run test
docker-compose exec api npm run test

Code Style

• ESLint configuration with Airbnb style guide
• Prettier for code formatting
• Husky for pre-commit hooks
• TypeScript strict mode enabled

Testing

# Run unit tests
npm run test

# Run integration tests
npm run test:integration

# Generate coverage report
npm run test:coverage

# Run security tests
npm run test:security

Deployment

Replit Deployment

1. Configure Replit secrets:

   • DATABASE_URL
   • REDIS_URL
   • GOOGLE_CLIENT_ID
   • GOOGLE_CLIENT_SECRET
   • JWT_SECRET

2. Deploy the application:

npm run deploy:replit

3. Configure domain and SSL in Replit dashboard

Database Migrations

# Run migrations
npm run db:migrate

# Rollback migration
npm run db:rollback

# Generate new migration
npm run db:make migration_name

Security

Authentication

• Google OAuth 2.0 for administrative access
• JWT tokens for API authentication
• Role-based access control (RBAC)
• Secure session management

Rate Limiting

{
  "public": {
    "rate": 100,
    "burst": 50,
    "window": "1m"
  },
  "authenticated": {
    "rate": 1000,
    "burst": 100,
    "window": "1m"
  }
}

Data Protection

• AES-256 encryption for sensitive data
• TLS 1.3 for data in transit
• Regular security audits
• Automated vulnerability scanning

API Documentation

Authentication

# Get access token
POST /api/v1/auth/login
Content-Type: application/json

{
  "code": "google-oauth-code"
}

Endpoints

Method	Endpoint	Description	Auth Required
GET	/api/v1/metrics	List all metrics	No
GET	/api/v1/metrics/{id}	Get metric details	No
GET	/api/v1/benchmarks	Get benchmark data	No
POST	/api/v1/admin/data	Import data	Yes
PUT	/api/v1/admin/sources	Update sources	Yes

Monitoring

Health Checks

# Application health
GET /health

# Detailed health status
GET /health/detailed

Metrics Collection

• Prometheus metrics exposed at /metrics
• Grafana dashboards for visualization
• Custom SLO monitoring
• Error rate tracking
• Performance metrics

Contributing

1. Fork the repository
2. Create your 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 licensed under the MIT License - see the LICENSE file for details.

Support

For support, please open an issue in the GitHub repository or contact the development team.

Acknowledgments

• Replit for hosting infrastructure
• Material-UI for UI components
• Chart.js for data visualization