AI TRADE Frontend (React Next.js)

By Andy Ng [email protected], Senior Software Development Manager at AI TRADE, Inc. (Feb 6, 2022)

🛡️ Disclaimer: This source code present a conceptual overview of our system architecture. Proprietary configurations, security measures, and specific implementation details have been omitted for confidentiality and security reasons. This information is approved for public sharing by AI TRADE, Inc.

Overview

AI Trade Frontend is a distributed microservice architecture that delivers exceptional performance and reliability through intelligent load balancing and automatic failover. Built with cutting-edge frontend engineering practices, our platform achieves sub-100ms response times and handles millions of real-time data updates per second across multiple regions.

Our platform supports multiple environments with automatic failover and load balancing:

• Local Development: www-local.aitrade.ai (Single instance)
• Development: www-develop.aitrade.ai (Multi-region with failover)
• Production: www.aitrade.ai (Global distribution with automatic failover)

Powered by advanced microservice architecture, intelligent load balancing, and real-time health monitoring, our frontend delivers a blazing-fast experience even under heavy load. The application features:

• Automatic Failover: Seamless service recovery
• Load Balancing: Dynamic traffic distribution
• Health Monitoring: Real-time service health checks
• Performance Tracking: APM and metrics collection
• Auto-scaling: Dynamic resource allocation
• Circuit Breaking: Fault tolerance and resilience

Features

Core Features

• Distributed Architecture: Multi-region deployment with automatic failover
• Load Balancing: Dynamic traffic distribution across regions
• Health Monitoring: Real-time service health and performance tracking
• Auto-scaling: Automatic resource scaling based on load
• Circuit Breaking: Fault tolerance and service resilience
• Performance Analytics: Real-time metrics and monitoring
• Service Discovery: Dynamic service registration and discovery
• Traffic Management: Intelligent request routing and load distribution

Technical Stack

• Frontend Framework: Next.js with React for lightning-fast server-side rendering
• State Management: React Context API with optimistic updates
• Styling: Tailwind CSS with JIT compiler for zero-runtime CSS
• Charts: TradingView Charts with WebGL rendering
• Container Orchestration: Docker Compose with multi-stage builds
• Load Balancing:
  • Traefik with sticky sessions
  • Automatic failover
  • Dynamic routing
  • Health checks
• Service Mesh:
  • Service discovery
  • Load balancing
  • Circuit breaking
  • Traffic management
• Monitoring Stack:
  • Prometheus for metrics collection
  • Grafana for visualization
  • ELK Stack for logging
  • APM for performance tracking
• Caching Layer:
  • Redis for session management
  • CDN for static assets
  • Service Worker for offline capabilities
• Build Optimization:
  • Tree-shaking and dead code elimination
  • Dynamic imports and route-based code splitting
  • Image optimization with next/image
  • Font optimization with next/font
• Security Features:
  • CSP headers
  • HSTS enforcement
  • XSS protection
  • CSRF tokens

Docker Configuration

Our Dockerfile is optimized for Next.js and includes:

Base Image & Dependencies

FROM node:20

• Latest Node.js 20 LTS
• Essential build tools and libraries
• Development tools (vim, git, curl)

Node.js Environment

• Node.js 20.x LTS for frontend development
• Yarn package manager for dependency management
• Hot reloading for development

Performance Optimizations

• Production build optimization
• Static file serving
• Image optimization
• Code splitting and lazy loading

Prerequisites

• Docker and Docker Compose
• Git
• Make (optional, for convenience commands)

Quick Start

1. Clone the repository:

git clone [email protected]:aitradeinc/saas.docker.frontend.git
cd docker.frontend

2. Start the application:

make

3. Access the application:

• Open your browser and navigate to www-local.aitrade.ai
• The application will be available with the -local suffix for local development

Make Commands

The project includes comprehensive Make commands for all operations:

Service Management

• make: Starts the application (default command)
• make stop: Stops the application
• make restart: Restarts the application
• make rebuild: Rebuilds the application container
• make clean: Removes all containers and cached files

Development Tools

• make logs: Shows application logs
• make logs-follow: Follows logs in real-time

Maintenance

• make prune: Removes unused Docker resources
• make status: Shows status of the application

Security Considerations

• The default credentials in deploy/local.env are for development purposes only
• Always change all passwords and secrets before deploying to production
• Use strong, unique passwords for each service
• Consider using a secrets management service in production
• Regularly rotate credentials and secrets
• Never commit the actual .env file to version control

Service Endpoints

The following services are available:

• Frontend Application: https://www-local.aitrade.ai
• API Gateway: https://api-local.aitrade.ai
• WebSocket: wss://ws-local.aitrade.ai

Architecture

The frontend is built with a modern microservice architecture that emphasizes:

• Distributed service deployment
• Automatic failover and recovery
• Dynamic load balancing
• Real-time health monitoring
• Service mesh integration
• Circuit breaking and resilience

System Scale

• Supporting millions of concurrent users with sub-100ms response times
• Multi-region deployment with automatic failover
• Dynamic load balancing across regions
• Real-time health monitoring and auto-scaling
• Intelligent traffic routing and distribution
• Automatic performance optimization with dynamic code splitting

Performance Metrics

• First Contentful Paint (FCP): < 1.5s
• Time to Interactive (TTI): < 2.5s
• Largest Contentful Paint (LCP): < 2.5s
• First Input Delay (FID): < 100ms
• Cumulative Layout Shift (CLS): < 0.1
• Time to First Byte (TTFB): < 200ms
• Service Uptime: 99.99%
• Failover Time: < 100ms
• Load Balancing Latency: < 10ms

Network Structure

• Public Network: For external-facing services with CDN acceleration
• Private Network: For internal service communication with optimized routing
• Edge Network: Global CDN with 200+ points of presence
• WebSocket Cluster: Real-time data streaming with automatic scaling
• Load Balancer Layer:
  • Global load balancing
  • Regional load balancing
  • Service-specific load balancing
• Service Mesh:
  • Service discovery
  • Traffic management
  • Circuit breaking
  • Health monitoring

Development

Local Development

1. Application is hot-reloaded for development
2. Logs are available in docker/logs
3. Environment variables are managed through .env files

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is proprietary and confidential. All rights reserved.

Support

For support, please visit www.aitrade.ai or open an issue in the repository.

Acknowledgments

• Thanks to all contributors
• Built with modern open-source technologies
• Powered by AI Trade

Get Started Today

Ready to transform your trading platform with cutting-edge frontend technology? Contact us today for a consultation:

• 📧 Email: [email protected]
• 🌐 Website: www.aitrade.ai

Our team of experts will help you:

• Design and implement modern user interfaces
• Optimize your frontend performance
• Set up responsive trading platforms
• Implement real-time data visualization
• Ensure enterprise-grade security and compliance

Let's discuss how we can help you build the next generation of trading platforms.