AI ML Architecture
Comprehensive AI/ML architecture combining local language models, vector databases, and machine learning pipelines for intelligent threat analysis.
Architecture
System architecture and technical specifications for STING platform components, design patterns, and infrastructure.
2 minute read
STING Architecture
Technical documentation of STING’s architecture, design patterns, and system components.
System Architecture
High-Level Overview
STING is built as a microservices architecture with the following components:
- Frontend: React-based SPA.
- Backend: Python Flask API.
- Chatbot: AI/LLM service.
- Messaging: Real-time communication service.
- Database: PostgreSQL with Redis caching.
- Authentication: Ory Kratos identity management.
- Vault: HashiCorp Vault for secrets management.
Component Architecture
Frontend Architecture
- React 18+ with hooks.
- Material-UI component library.
- Glass theme system.
- Responsive design.
- Progressive Web App (PWA) ready.
Backend Architecture
- Flask REST API.
- SQLAlchemy ORM.
- Celery task queue.
- Redis caching layer.
- WebSocket support.
AI/ML Architecture
- Ollama integration.
- Local LLM support.
- Vector database (ChromaDB).
- Embedding generation.
- Semantic search.
Data Architecture
Database Schema
- User management.
- Honey Jar storage.
- PII detection records.
- Audit logs.
- Session management.
Data Flow
Request → Authentication → Authorization → Processing → Response
Caching Strategy
Multi-layer caching with Redis for performance optimization.
API Architecture
RESTful API design with:
- Versioning.
- Rate limiting.
- Authentication middleware.
- Error handling.
- OpenAPI/Swagger documentation.
Security Architecture
Defense in Depth
Multiple security layers:
- Network security.
- Application security.
- Data encryption.
- Access controls.
- Audit logging.
Authentication Architecture
- Passwordless-first.
- Multi-factor authentication.
- Session management.
- Token-based API access.
Deployment Architecture
Docker Deployment
Multi-container setup with Docker Compose:
- Application containers.
- Database containers.
- Cache containers.
- Reverse proxy.
Service Health Monitoring
Health checks and readiness probes for all services.
Service Startup Resilience
Graceful degradation and retry logic.
Scalability
Horizontal Scaling
- Stateless application servers.
- Database read replicas.
- Load balancing.
- Session affinity.
Vertical Scaling
- Resource optimization.
- Caching strategies.
- Database indexing.
- Query optimization.
Module Dependencies
Documentation of internal module dependencies and integration points.
Technical Specifications
Detailed technical specs for each component and subsystem.
API Architecture
RESTful API architecture with OpenAPI specification, security standards, versioning, and comprehensive documentation.
Architecture
STING platform architecture including microservices design, authentication layer, AI/LLM services, and observability stack.
Data Architecture
Hybrid data architecture combining relational, document, vector, and cache storage for diverse data requirements.
Database Separation
Database separation architecture for improved security, scalability, and maintainability with dedicated schemas and users.
File asset management
File Asset Management - comprehensive documentation.
Queuing architecture
Queuing Architecture - comprehensive documentation.
Security architecture
Security Architecture - comprehensive documentation.
Service health monitoring
Service Health Monitoring - comprehensive documentation.
Service startup resilience
Service Startup Resilience - comprehensive documentation.
System architecture
System Architecture - comprehensive documentation.
Technical architecture
Technical Architecture - comprehensive documentation.
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