Architecture

Sand Framework uses a microservices architecture for scalability and maintainability.

System Components

Core Services

• API Gateway: FastAPI-based REST API

• AI Service: LLM integration for development assistance

• Analytics Engine: Real-time data processing

• Contract Analyzer: Smart contract security and optimization

Infrastructure

• Message Broker: RabbitMQ for service communication

• Database: PostgreSQL for persistent storage

• Cache: Redis for performance optimization

• Load Balancer: For horizontal scaling

System Architecture

graph TD
    A[Client] --> B[API Gateway]
    B --> C[AI Service]
    B --> D[Analytics Engine]
    B --> E[Contract Analyzer]
    C --> F[LLM Provider]
    D --> G[Message Broker]
    E --> G
    G --> H[Database]

Data Flow

1. Client Requests

   • REST API calls

   • WebSocket connections

   • Discord commands

2. Service Communication

   • Event-driven architecture

   • Message queues for async operations

   • Service discovery

3. Data Storage

   • PostgreSQL for structured data

   • Redis for caching

   • File system for temporary storage

Scalability

The system is designed to scale horizontally for increased load.

• Service Replication: Multiple instances of each service

• Load Distribution: Round-robin and least-connections

• Data Partitioning: Sharding for large datasets

• Caching Strategy: Multi-level caching

Security Architecture

• API Security: JWT authentication

• Service Mesh: Internal service authentication

• Data Encryption: At rest and in transit

• Rate Limiting: Prevent abuse

Deployment

The system can be deployed using:

# Development
docker-compose up -d

# Production
kubectl apply -f k8s/

Ensure proper security measures before production deployment.