Skip to main content

​
Architecture Overview

Clipron AI is built as a modern, scalable full-stack application designed for high-performance code security analysis. This document provides a comprehensive overview of the system architecture, components, and design decisions.

​
System Architecture

Clipron AI Architecture

​
High-Level Components

Frontend Layer

React 18 SPA
  • Modern React with hooks and functional components
  • Tailwind CSS for responsive design
  • Real-time updates and notifications

API Gateway

Nginx Reverse Proxy
  • Load balancing and SSL termination
  • Static file serving
  • Request routing and caching

Backend Services

FastAPI Application
  • Asynchronous Python backend
  • RESTful API design
  • JWT authentication and authorization

AI Processing

Ron Cortex Engine
  • Multi-model AI orchestration
  • Intelligent routing and cost optimization
  • Advanced security analysis algorithms

​
Architectural Patterns

​
Microservices-Ready Monolith

Clipron AI follows a “microservices-ready monolith” pattern:
Clear separation of concerns
  • Authentication module
  • Analysis engine module
  • Payment processing module
  • User management module
  • Integration services module
Well-defined interfaces
  • Each module has clear APIs
  • Minimal cross-module dependencies
  • Easy to extract into separate services
Common components
  • Database layer
  • Authentication middleware
  • Logging and monitoring
  • Configuration management

​
Event-Driven Architecture

​
Technology Stack

​
Frontend Technologies

Core Framework

React 18
  • Functional components with hooks
  • Context API for state management
  • Suspense for code splitting

Styling

Tailwind CSS
  • Utility-first CSS framework
  • Responsive design system
  • Dark mode support

Build Tools

Create React App
  • Webpack bundling
  • Hot module replacement
  • Production optimization

HTTP Client

Axios
  • Promise-based HTTP client
  • Request/response interceptors
  • Automatic JSON handling

Routing

React Router
  • Client-side routing
  • Protected routes
  • Dynamic route parameters

Icons

Heroicons
  • Consistent icon library
  • SVG-based icons
  • Multiple styles available

​
Backend Technologies

Web Framework

FastAPI
  • High-performance async framework
  • Automatic API documentation
  • Type hints and validation

Database ORM

SQLAlchemy
  • Object-relational mapping
  • Database migrations with Alembic
  • Connection pooling

Authentication

JWT + OAuth
  • JSON Web Tokens
  • Google and GitHub OAuth
  • Role-based access control

Task Queue

Celery (Optional)
  • Asynchronous task processing
  • Redis as message broker
  • Scheduled tasks support

Validation

Pydantic
  • Data validation and serialization
  • Type safety
  • Automatic documentation

HTTP Server

Uvicorn
  • ASGI server implementation
  • High-performance async handling
  • WebSocket support

​
Data Architecture

​
Database Design

Primary data models
  • Users: Authentication and profile data
  • Analyses: Security analysis records
  • Credits: Payment and usage tracking
  • Repositories: GitHub integration data
  • API Keys: External service credentials
Entity relationships
  • One-to-many: User → Analyses
  • One-to-many: User → Repositories
  • Many-to-many: Users ↔ Organizations (future)
  • One-to-one: User → Credit Balance
Scalability considerations
  • Analysis results partitioned by date
  • User data sharded by region (future)
  • Audit logs in separate tables
  • File uploads in object storage

​
Caching Strategy

In-memory caching
  • User session data
  • API response caching
  • Configuration settings
  • Frequently accessed data

​
Security Architecture

​
Defense in Depth

Network Security

  • HTTPS/TLS encryption
  • Firewall configuration
  • DDoS protection via Cloudflare
  • VPN access for admin functions

Application Security

  • JWT token authentication
  • Role-based authorization
  • Input validation and sanitization
  • SQL injection prevention

Data Security

  • Encryption at rest
  • Encrypted database connections
  • PII data anonymization
  • Secure backup procedures

API Security

  • Rate limiting
  • API key rotation
  • Request signing
  • Audit logging

​
Authentication Flow

​
Scalability Design

​
Horizontal Scaling

Scalable backend design
  • No server-side session storage
  • JWT tokens for authentication
  • Database for persistent state
  • External APIs for AI processing
Traffic distribution
  • Nginx load balancer
  • Round-robin algorithm
  • Health check endpoints
  • Session affinity not required
Data layer scaling
  • Read replicas for queries
  • Connection pooling
  • Query optimization
  • Caching frequently accessed data

​
Performance Optimization

  • Code splitting and lazy loading
  • Image optimization and compression
  • Bundle size optimization
  • Service worker for caching

​
Monitoring and Observability

​
Three Pillars of Observability

Metrics

Quantitative measurements
  • Response times
  • Error rates
  • Throughput
  • Resource utilization

Logs

Event records
  • Application logs
  • Access logs
  • Error logs
  • Audit trails

Traces

Request flows
  • Distributed tracing
  • Performance bottlenecks
  • Error propagation
  • Service dependencies

​
Monitoring Stack

Sentry Integration
  • Error tracking and alerting
  • Performance monitoring
  • Release tracking
  • User feedback collection
System metrics
  • CPU, memory, disk usage
  • Network performance
  • Database performance
  • Service health checks
KPI tracking
  • User registrations
  • Analysis volume
  • Revenue metrics
  • Feature usage

​
Deployment Architecture

​
Production Environment

​
Deployment Strategies

  • Two identical production environments
  • Switch traffic between environments
  • Zero-downtime deployments
  • Easy rollback capability
Architecture Tip: The modular design allows for easy extraction of components into microservices as the system scales. Start with the monolith and split services based on actual usage patterns and bottlenecks.