06 Platform Architecture

Technical Architecture Overview

ProSignal AI is built on a modern, scalable architecture that combines Web2 performance with Web3 capabilities. The platform leverages cloud-native technologies, advanced AI models, and blockchain infrastructure to deliver a seamless user experience while maintaining decentralization principles.

System Architecture Diagram

Technology Stack Deep Dive

Frontend Architecture

React 18 with Modern Patterns

  • Concurrent Features: Suspense, transitions, and automatic batching

  • Component Architecture: Reusable, composable UI components

  • State Management: React Query for server state, Context for global state

  • Type Safety: Full TypeScript integration with strict type checking

Web3 Integration Stack

Performance Optimizations

  • Code Splitting: Route-based and component-based splitting

  • Lazy Loading: Dynamic imports for non-critical components

  • Image Optimization: WebP format with fallbacks

  • Bundle Analysis: Webpack bundle analyzer integration

Backend Architecture

Node.js Microservices Pattern

API Design Principles

  • RESTful Architecture: Resource-based URL design

  • OpenAPI Specification: Auto-generated documentation

  • Rate Limiting: Per-user and per-endpoint limits

  • Caching Strategy: Multi-layer caching implementation

Database Architecture

AI Prediction Engine

Advanced AI Integration

1

Data Aggregation

  • Team statistics collection

  • Player performance analysis

  • Historical match data

  • Real-time market conditions

2

Context Preparation

  • Structured prompt generation

  • Competition-specific analysis

  • Form and H2H integration

  • Market odds incorporation

3

AI Processing

  • AI model processing

  • JSON response parsing

  • Confidence score validation

  • Multi-market predictions

4

Result Processing

  • Database storage

  • Cache invalidation

  • Real-time updates

Prediction Quality Assurance

  • Input Validation: Comprehensive data quality checks

  • Output Validation: Confidence score and format verification

  • Fallback Mechanisms: Default predictions for API failures

  • Performance Monitoring: Accuracy tracking and model evaluation

Blockchain Integration

Base Network Architecture

Transaction Verification System

1

Transaction Receipt

  • User submits transaction hash

  • Frontend validates format

  • Backend queues verification

2

On-Chain Verification

  • RPC call to Base network

  • Transaction details extraction

  • Amount and recipient validation

  • Block confirmation check

3

Business Logic

  • Duplicate transaction prevention

  • Subscription activation

  • Referral reward processing

  • Database state updates

Data Architecture

Database Schema Design

Core Entity Relationships

Performance Optimization

  • Indexing Strategy: Composite indexes for common query patterns

  • Partitioning: Time-based partitioning for large tables

  • Materialized Views: Pre-computed aggregations for analytics

  • Connection Pooling: Efficient database connection management

Caching Architecture

Multi-Layer Caching Strategy

1

Browser Cache (Frontend)

  • Static assets (24h)

  • API responses (5min)

  • User preferences (session)

2

CDN Cache (Global)

  • Static content delivery

  • API response caching

  • Geographic optimization

3

Application Cache (Backend)

  • Database query results

  • External API responses

  • Computed predictions

  • User session data

4

Database Cache (PostgreSQL)

  • Query plan caching

  • Buffer pool optimization

  • Index caching

Security Architecture

Authentication & Authorization

Multi-Factor Security Model

1

Wallet Authentication (Primary)

  • Web3 message signing

  • Cryptographic verification

  • Nonce-based replay protection

2

Two-Factor Authentication (Optional)

  • TOTP implementation

  • Backup code generation

  • Recovery mechanisms

3

Session Management

  • JWT token validation

  • Refresh token rotation

  • Session invalidation

4

Role-Based Access Control

  • User permissions

  • Admin privileges

  • Feature flags

Data Protection

Comprehensive Security Measures

  • Input Validation: Zod schema validation on all endpoints

  • SQL Injection Prevention: Parameterized queries via ORM

  • XSS Protection: Content Security Policy implementation

  • CSRF Protection: SameSite cookie configuration

  • Rate Limiting: Distributed rate limiting with Redis

  • Encryption: TLS 1.3 for all communications

Blockchain Security

Smart Contract Security

Scalability & Performance

Horizontal Scaling Strategy

Microservices Architecture

Database Scaling

  • Read Replicas: Multiple read-only database instances

  • Connection Pooling: PgBouncer for connection management

  • Query Optimization: Automated query performance monitoring

  • Sharding Strategy: User-based sharding for future growth

Performance Monitoring

Observability Stack

Deployment Architecture

Cloud-Native Infrastructure

Container Orchestration

Infrastructure as Code

  • Terraform: Infrastructure provisioning and management

  • Kubernetes: Container orchestration and scaling

  • Helm Charts: Application deployment templates

  • ArgoCD: GitOps-based continuous deployment

Environment Management

Multi-Environment Strategy

Integration Architecture

External Service Integration

API Integration Patterns

Error Handling & Resilience

  • Circuit Breaker Pattern: Prevent cascade failures

  • Retry Logic: Exponential backoff for transient failures

  • Graceful Degradation: Fallback mechanisms for service outages

  • Health Checks: Automated service health monitoring


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