Polysystems Architecture
Deep dive into the technical architecture of the Polysystems platform.
Overview
This page provides a comprehensive look at how Polysystems is architected to deliver reliable, scalable AI services.
Coming Soon
Detailed architecture documentation is currently being prepared. This will include:
- System Design: High-level architecture diagrams
- Service Components: Detailed component specifications
- Data Flow: How data moves through the system
- Infrastructure: Underlying infrastructure design
- Scalability: How we scale to meet demand
- Security: Security architecture and practices
- API Gateway: Request routing and load balancing
- Database Architecture: Data storage and management
- Monitoring: Observability and monitoring systems
High-Level Architecture
Documentation coming soon.
Core Components
Hub Service
The central routing layer that:
- Manages API requests
- Routes to appropriate services
- Handles authentication
- Tracks usage and billing
OMM Service
Omnimodal AI processing system that:
- Processes multimodal inputs
- Manages ML model inference
- Handles result aggregation
Yggdrasil Infrastructure
Distributed infrastructure providing:
- Service orchestration
- Load balancing
- Failover and redundancy
- Horizontal scaling
Payment System (x402)
Cryptocurrency payment infrastructure:
- Blockchain integration
- Payment verification
- Credit management
- Transaction monitoring
Network Architecture
Documentation coming soon.
Request Flow
Client → API Gateway → Hub → Service → Response
↓
Authentication
↓
Rate Limiting
↓
Usage TrackingData Architecture
Documentation coming soon.
Data Storage
- User data management
- Credit and transaction records
- API usage metrics
- Model artifacts
Data Security
- Encryption at rest and in transit
- Access control
- Data isolation
- Compliance measures
Service Communication
Documentation coming soon.
Inter-Service Communication
- Service discovery
- gRPC/HTTP protocols
- Message queuing
- Event streaming
Scalability
Documentation coming soon.
Horizontal Scaling
- Automatic service scaling
- Load balancing strategies
- Resource allocation
Performance Optimization
- Caching strategies
- Request optimization
- Database query optimization
Reliability & Availability
Documentation coming soon.
High Availability
- Multi-region deployment
- Redundancy strategies
- Failover mechanisms
Disaster Recovery
- Backup strategies
- Recovery procedures
- Data replication
Security Architecture
Documentation coming soon.
Authentication & Authorization
- API key management
- JWT token validation
- Access control lists
Network Security
- DDoS protection
- Rate limiting
- IP filtering
Data Security
- Encryption standards
- Secure key management
- Audit logging
Monitoring & Observability
Documentation coming soon.
Metrics
- System metrics
- Application metrics
- Business metrics
Logging
- Centralized logging
- Log aggregation
- Log analysis
Alerting
- Alert configuration
- Incident response
- On-call procedures
Development & Deployment
Documentation coming soon.
CI/CD Pipeline
- Continuous integration
- Automated testing
- Deployment strategies
Infrastructure as Code
- Configuration management
- Environment provisioning
- Version control
Technology Stack
Documentation coming soon. This will cover:
- Programming languages
- Frameworks and libraries
- Databases
- Message queues
- Caching systems
- Cloud providers
- Monitoring tools
API Design Principles
Documentation coming soon.
RESTful Design
- Resource-oriented endpoints
- Standard HTTP methods
- Consistent response formats
Versioning
- API version strategy
- Backward compatibility
- Deprecation policy
Performance Benchmarks
Documentation coming soon.
Performance metrics and benchmarks will be provided here.
Related Documentation
Need Help?
For technical questions about the architecture, please contact our engineering team or refer to the API Documentation.
Note: This documentation is actively being developed. Check back regularly for detailed architecture diagrams, specifications, and best practices.