Documentation
Platform Services
Service Architecture Overview
The SilverGuard AI backend provides a comprehensive suite of REST APIs and microservices supporting the entire care facility management platform with real-time data processing, AI integration, and scalable architecture. Built with Node.js and TypeScript, featuring PostgreSQL for primary data, ClickHouse for analytics, and Kafka for real-time event streaming.
Core Platform Services
User authentication and session management
Key Endpoints
- POST /login
- POST /logout
- GET /me
- +2 more endpoints
Features
- JWT-based authentication
- Role-based access control
- Multi-factor authentication
- Session management
Facility management and configuration
Key Endpoints
- GET /sites
- GET /sites/:id
- POST /sites
- +2 more endpoints
Features
- Site configuration
- Facility capacity management
- Operating hours
- Timezone settings
User account management and RBAC
Key Endpoints
- GET /users
- GET /users/:id
- POST /users
- +2 more endpoints
Features
- User lifecycle management
- Role assignment
- Emergency contacts
- Activity tracking
Resident information and care management
Key Endpoints
- GET /residents
- GET /residents/:id
- POST /residents
- +1 more endpoints
Features
- AI-powered risk assessment
- Predictive analytics
- Care plan management
- Family communication
Incident detection, tracking, and management
Key Endpoints
- GET /incidents
- GET /incidents/:id
- POST /incidents
- +1 more endpoints
Features
- Automated detection
- Severity classification
- Response optimization
- Pattern recognition
IoT device management and monitoring
Key Endpoints
- GET /devices
- GET /devices/:id
- POST /devices
- +1 more endpoints
Features
- Real-time monitoring
- Predictive maintenance
- Firmware updates
- Performance analytics
Smart Microservices
Advanced data analytics and business intelligence
- Real-time data processing and aggregation
- Statistical analysis and trend identification
- Predictive analytics and forecasting
- Custom report generation and export
- Performance metrics and KPI calculation
Regulatory compliance and audit management
- Automated compliance checking and validation
- Regulatory framework support (HIPAA, CMS)
- Audit trail generation and verification
- Compliance reporting and documentation
- Risk assessment and mitigation recommendations
IoT device management and monitoring
- Real-time device status monitoring
- Device health and performance tracking
- Firmware update management
- Device configuration and settings
- Predictive maintenance scheduling
AI-powered incident detection and management
- Computer vision-based incident detection
- Automated incident classification
- Response time optimization
- Incident pattern analysis and prevention
- Emergency response coordination
Knowledge base and intelligent search
- Natural language search and retrieval
- Policy and procedure management
- Best practices recommendation
- Training material organization
- Contextual help and guidance
Data Architecture
Core application data and relationships
Tables/Topics
- users
- sites
- residents
- incidents
- devices
- audit_logs
Time-series analytics and reporting
Tables/Topics
- incident_events
- device_metrics
- user_activities
- system_metrics
- compliance_events
Real-time event streaming and processing
Tables/Topics
- incident-events
- device-status
- user-actions
- system-alerts
- compliance-events
Security & Compliance
- JWT-based authentication with refresh tokens
- Role-based access control (RBAC)
- TLS 1.3 encryption for all communications
- Configurable rate limiting per endpoint
- Comprehensive input validation and sanitization
- HIPAA compliance for healthcare data
- GDPR compliance for European regulations
- Database encryption for sensitive data
- Complete audit trails for all operations
- Automated data retention and archival
- Prometheus metrics collection
- Grafana real-time monitoring dashboards
- Loki centralized log aggregation
- Automated alerting for system issues
- Distributed tracing for performance optimization
Deployment & Scaling
Docker containers with Kubernetes orchestration
- Consistency across environments
- Auto-scaling capabilities
- Standardized deployments
Load balancing with fault tolerance
- 99.9% uptime guarantee
- Graceful degradation
- Circuit breaker patterns
Redis caching with CDN integration
- Sub-second response times
- Efficient resource utilization
- Optimized database queries
External Systems
- HL7 FHIR integration for healthcare data exchange
- MQTT and HTTP integration for IoT devices
- Email, SMS, and push notification services
- Integration with business intelligence tools
API Standards
- RESTful API design with OpenAPI documentation
- GraphQL endpoint for flexible data querying
- WebSocket for real-time bidirectional communication
- Webhooks for event-driven external integration
- • Enterprise-grade scalability for any facility size
- • Real-time processing with immediate response
- • Advanced AI and intelligent automation
- • Complete service coverage for all platform features
- • Enterprise-grade security and compliance
- • 99.9% uptime with fault-tolerant architecture
- • Extensive integration with existing systems
- • High-performance sub-second response times
Backend
- • Node.js + TypeScript
- • Express.js framework
- • JWT authentication
- • Service documentation
Databases
- • PostgreSQL (Primary)
- • ClickHouse (Analytics)
- • Redis (Caching)
- • Kafka/Redpanda (Messaging)
Infrastructure
- • Docker containers
- • Kubernetes orchestration
- • Helm chart deployments
- • Auto-scaling capabilities
Monitoring
- • Prometheus metrics
- • Grafana dashboards
- • Loki log aggregation
- • Distributed tracing