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Valtronics Team edited this page May 4, 2026 · 1 revision

Valtronics Architecture Overview

High-level system architecture and design principles

Overview

Valtronics is built on a modern, microservices-oriented architecture designed for scalability, reliability, and real-time performance. The system follows a layered architecture pattern with clear separation of concerns.

System Architecture Diagram

graph TB
    subgraph "Frontend Layer"
        UI[React Dashboard]
        Mobile[Mobile App]
        Portal[Web Portal]
    end
    
    subgraph "API Gateway Layer"
        Gateway[API Gateway]
        Auth[Authentication Service]
        Rate[Rate Limiter]
    end
    
    subgraph "Application Layer"
        API[FastAPI Backend]
        WS[WebSocket Service]
        AI[AI/ML Service]
        Analytics[Analytics Engine]
    end
    
    subgraph "Integration Layer"
        MQTT[MQTT Broker]
        Webhooks[Webhook Service]
        External[External APIs]
    end
    
    subgraph "Data Layer"
        PostgreSQL[(PostgreSQL)]
        Redis[(Redis Cache)]
        Files[File Storage]
        Backup[Backup Storage]
    end
    
    subgraph "Infrastructure Layer"
        Docker[Docker Containers]
        K8s[Kubernetes]
        Monitor[Monitoring]
        Logs[Logging]
    end
    
    UI --> Gateway
    Mobile --> Gateway
    Portal --> Gateway
    
    Gateway --> Auth
    Gateway --> Rate
    Gateway --> API
    
    API --> WS
    API --> AI
    API --> Analytics
    
    API --> MQTT
    API --> Webhooks
    API --> External
    
    API --> PostgreSQL
    API --> Redis
    API --> Files
    
    PostgreSQL --> Backup
    
    API --> Docker
    Docker --> K8s
    K8s --> Monitor
    K8s --> Logs
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Architectural Principles

1. Microservices Architecture

  • Service Separation: Each component is an independent service
  • Loose Coupling: Services communicate through well-defined APIs
  • High Cohesion: Related functionality grouped together
  • Independent Deployment: Services can be deployed independently

2. Scalability First

  • Horizontal Scaling: Services can scale horizontally
  • Load Balancing: Automatic load distribution
  • Resource Optimization: Efficient resource utilization
  • Performance Monitoring: Real-time performance tracking

3. Reliability and Availability

  • Fault Tolerance: Graceful degradation on failures
  • Redundancy: Multiple instances for high availability
  • Health Checks: Continuous health monitoring
  • Disaster Recovery: Backup and recovery procedures

4. Security by Design

  • Zero Trust: Verify everything, trust nothing
  • Defense in Depth: Multiple security layers
  • Data Protection: Encryption at rest and in transit
  • Access Control: Role-based access control

Layer Architecture

Frontend Layer

Purpose: User interface and experience

  • React Dashboard: Main web interface
  • Mobile Applications: iOS and Android apps
  • Web Portal: Administrative interface
  • API Clients: Third-party integrations

Technologies:

  • React 18+ with TypeScript
  • Redux Toolkit for state management
  • Material-UI and custom components
  • WebSocket client for real-time updates

API Gateway Layer

Purpose: Request routing, authentication, and protection

  • API Gateway: Request routing and load balancing
  • Authentication Service: User authentication and authorization
  • Rate Limiter: API rate limiting and protection
  • Request Validation: Input validation and sanitization

Technologies:

  • Nginx or Kong for API gateway
  • JWT for authentication
  • Redis for rate limiting
  • Custom middleware for validation

Application Layer

Purpose: Business logic and data processing

  • FastAPI Backend: Main application server
  • WebSocket Service: Real-time communication
  • AI/ML Service: Machine learning and analytics
  • Analytics Engine: Data processing and reporting

Technologies:

  • FastAPI with Python
  • WebSocket for real-time communication
  • OpenAI API for AI features
  • Pandas and NumPy for analytics

Integration Layer

Purpose: External system integration

  • MQTT Broker: Device communication protocol
  • Webhook Service: External system notifications
  • External APIs: Third-party service integration
  • Message Queue: Asynchronous processing

Technologies:

  • Mosquitto for MQTT
  • Celery for background tasks
  • Redis for message queuing
  • HTTP clients for external APIs

Data Layer

Purpose: Data storage and management

  • PostgreSQL: Primary database
  • Redis Cache: Caching and session storage
  • File Storage: Document and media storage
  • Backup Storage: Data backup and recovery

Technologies:

  • PostgreSQL 14+ with extensions
  • Redis 7+ for caching
  • AWS S3 or equivalent for files
  • Automated backup solutions

Infrastructure Layer

Purpose: Deployment and operations

  • Docker Containers: Containerization
  • Kubernetes: Container orchestration
  • Monitoring: System and application monitoring
  • Logging: Centralized logging

Technologies:

  • Docker and Docker Compose
  • Kubernetes for orchestration
  • Prometheus and Grafana for monitoring
  • ELK stack for logging

Data Flow Architecture

Device Data Flow

sequenceDiagram
    participant Device as IoT Device
    participant MQTT as MQTT Broker
    participant API as FastAPI Backend
    participant DB as PostgreSQL
    participant Cache as Redis
    participant UI as Frontend
    
    Device->>MQTT: Publish telemetry data
    MQTT->>API: Forward message
    API->>Cache: Check cache
    API->>DB: Store data
    API->>Cache: Update cache
    API->>UI: WebSocket update
    UI->>UI: Update dashboard
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User Request Flow

sequenceDiagram
    participant User as User
    participant UI as Frontend
    participant Gateway as API Gateway
    participant Auth as Auth Service
    participant API as FastAPI
    participant DB as PostgreSQL
    
    User->>UI: Make request
    UI->>Gateway: HTTP request
    Gateway->>Auth: Validate token
    Auth->>Gateway: Return user info
    Gateway->>API: Forward request
    API->>DB: Query data
    DB->>API: Return results
    API->>Gateway: Return response
    Gateway->>UI: HTTP response
    UI->>User: Display results
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Component Architecture

Backend Components

FastAPI Application

app/
├── api/                    # API endpoints
│   ├── v1/                # API version 1
│   │   ├── endpoints/     # Route handlers
│   │   └── dependencies.py  # Dependencies
├── core/                   # Core configuration
│   ├── config.py         # Settings
│   ├── security.py       # Security utilities
│   └── database.py       # Database setup
├── models/                 # Data models
│   ├── device.py         # Device models
│   ├── alert.py          # Alert models
│   └── user.py           # User models
├── schemas/               # Pydantic schemas
│   ├── device.py         # Device schemas
│   ├── alert.py          # Alert schemas
│   └── user.py           # User schemas
├── services/              # Business logic
│   ├── device_service.py  # Device operations
│   ├── alert_service.py   # Alert operations
│   └── analytics_service.py # Analytics
├── db/                    # Database
│   ├── session.py        # Database session
│   └── migrations/       # Database migrations
└── main.py               # Application entry point

Frontend Components

src/
├── components/            # React components
│   ├── common/          # Common components
│   ├── dashboard/       # Dashboard components
│   ├── devices/         # Device components
│   └── alerts/          # Alert components
├── pages/                # Page components
│   ├── Dashboard.js     # Main dashboard
│   ├── Devices.js       # Device management
│   └── Analytics.js     # Analytics page
├── services/            # API services
│   ├── api.js           # API client
│   ├── websocket.js     # WebSocket client
│   └── auth.js          # Authentication
├── store/               # Redux store
│   ├── slices/          # Redux slices
│   └── index.js         # Store configuration
├── styles/              # CSS styles
│   ├── globals.css      # Global styles
│   └── components/      # Component styles
└── App.js               # Main application

Communication Patterns

Synchronous Communication

  • HTTP/REST: Standard REST API calls
  • GraphQL: Query language for APIs (future)
  • WebSocket: Real-time bidirectional communication
  • gRPC: High-performance RPC (future)

Asynchronous Communication

  • Message Queues: Redis/Celery for background tasks
  • Event Streaming: Kafka for event streaming (future)
  • Webhooks: External system notifications
  • MQTT: IoT device communication

Data Synchronization

  • Database Replication: PostgreSQL streaming replication
  • Cache Invalidation: Redis cache invalidation
  • Event Sourcing: Event-driven architecture
  • CQRS: Command Query Responsibility Segregation

Security Architecture

Authentication Flow

sequenceDiagram
    participant User as User
    participant UI as Frontend
    participant Auth as Auth Service
    participant DB as Database
    
    User->>UI: Login credentials
    UI->>Auth: Authentication request
    Auth->>DB: Verify credentials
    DB->>Auth: User data
    Auth->>UI: JWT token
    UI->>UI: Store token
    UI->>Auth: API request with token
    Auth->>UI: Validated request
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Authorization Model

  • Role-Based Access Control (RBAC)
  • Resource-Based Permissions
  • API Rate Limiting
  • Input Validation and Sanitization

Data Protection

  • Encryption at Rest: AES-256 database encryption
  • Encryption in Transit: TLS 1.3 for all communications
  • Data Masking: Sensitive data protection
  • Audit Logging: Complete audit trail

Performance Architecture

Caching Strategy

  • Application Cache: Redis for frequently accessed data
  • Database Cache: PostgreSQL query cache
  • CDN: Content delivery network for static assets
  • Browser Cache: Client-side caching policies

Database Optimization

  • Indexing Strategy: Optimized database indexes
  • Query Optimization: Efficient SQL queries
  • Connection Pooling: Database connection management
  • Read Replicas: Read scaling for analytics

Load Balancing

  • Application Load Balancer: Distribute API requests
  • Database Load Balancer: Distribute database queries
  • Cache Load Balancer: Distribute cache requests
  • Static Asset Load Balancer: Distribute static content

Deployment Architecture

Container Strategy

graph TB
    subgraph "Development"
        DevDB[(SQLite)]
        DevAPI[FastAPI Container]
        DevUI[React Container]
        DevRedis[Redis Container]
    end
    
    subgraph "Staging"
        StageDB[(PostgreSQL)]
        StageAPI[API Container x2]
        StageUI[UI Container x2]
        StageRedis[Redis Container]
        StageLB[Load Balancer]
    end
    
    subgraph "Production"
        ProdDB[(PostgreSQL Cluster)]
        ProdAPI[API Container x5]
        ProdUI[UI Container x5]
        ProdRedis[Redis Cluster]
        ProdLB[Load Balancer x2]
        ProdCDN[CDN]
    end
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Environment Strategy

  • Development: Single machine with SQLite
  • Staging: Multi-container with PostgreSQL
  • Production: Multi-region with high availability

Infrastructure as Code

  • Docker Compose: Local development
  • Kubernetes: Production orchestration
  • Terraform: Infrastructure provisioning
  • Ansible: Configuration management

Monitoring and Observability

Monitoring Stack

  • Prometheus: Metrics collection
  • Grafana: Visualization and dashboards
  • AlertManager: Alert management
  • Jaeger: Distributed tracing

Logging Strategy

  • ELK Stack: Elasticsearch, Logstash, Kibana
  • Structured Logging: JSON format logs
  • Log Aggregation: Centralized log collection
  • Log Retention: Configurable retention policies

Health Monitoring

  • Application Health: Custom health endpoints
  • Infrastructure Health: System metrics
  • Database Health: Database performance
  • Network Health: Network connectivity

Scalability Patterns

Horizontal Scaling

  • Stateless Services: Services without state
  • Load Balancing: Distribute load across instances
  • Auto Scaling: Automatic scaling based on load
  • Database Sharding: Horizontal database scaling

Vertical Scaling

  • Resource Optimization: Efficient resource usage
  • Performance Tuning: Application performance
  • Database Optimization: Query and index optimization
  • Cache Optimization: Efficient caching strategies

Evolution Architecture

Current Architecture (v1.0)

  • Monolithic Backend: Single FastAPI application
  • React Frontend: Single-page application
  • PostgreSQL: Primary database
  • Redis: Caching and session storage

Future Architecture (v2.0)

  • Microservices: Split into specialized services
  • Event-Driven: Event sourcing and CQRS
  • GraphQL: API query language
  • Multi-Cloud: Multi-cloud deployment

Technology Roadmap

  • Short Term: Performance optimization, additional features
  • Medium Term: Microservices migration, advanced analytics
  • Long Term: AI/ML integration, edge computing

Best Practices

Code Organization

  • Modular Design: Clear module boundaries
  • Dependency Injection: Loose coupling
  • Interface Segregation: Small, focused interfaces
  • Single Responsibility: One responsibility per module

Data Management

  • Data Validation: Input validation at all layers
  • Error Handling: Comprehensive error handling
  • Transaction Management: ACID compliance
  • Data Consistency: Consistent data state

Security Practices

  • Principle of Least Privilege: Minimal access required
  • Defense in Depth: Multiple security layers
  • Regular Updates: Keep dependencies updated
  • Security Testing: Regular security assessments

Documentation Standards

Architecture Documentation

  • Diagrams: Visual architecture representations
  • API Documentation: Comprehensive API docs
  • Deployment Guides: Step-by-step deployment
  • Troubleshooting Guides: Common issues and solutions

Code Documentation

  • Inline Comments: Clear code comments
  • README Files: Project documentation
  • API Specs: OpenAPI specifications
  • Database Schema: Data model documentation

Support and Maintenance

Maintenance Procedures

  • Regular Updates: Monthly dependency updates
  • Security Patches: Immediate security updates
  • Performance Reviews: Quarterly performance reviews
  • Architecture Reviews: Annual architecture assessments

Support Channels

  • Documentation: Comprehensive wiki documentation
  • Community: Community support forums
  • Professional: Professional support services
  • Emergency: 24/7 emergency support

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