PVPipe Architecture

System Architecture Overview

PVPipe is built using a microservices architecture that ensures scalability, maintainability, and resilience.

Architecture Diagram

graph TB
    subgraph "Client Layer"
        WEB[Web App - Next.js]
        MOBILE[Mobile App - React Native]
    end

    subgraph "API Gateway"
        NGINX[Nginx Ingress]
    end

    subgraph "Application Layer"
        API[Main API - NestJS]
        AUTH[Auth Service - Go]
        FILES[Files Service - Go]
        EMAIL[Email Service]
        PDF[PDF Service]
    end

    subgraph "Data Layer"
        PG[(PostgreSQL)]
        REDIS[(Redis)]
        S3[AWS S3]
    end

    subgraph "External Services"
        VNPT[VNPT SmartCA]
        SMTP[Email Provider]
    end

    WEB --> NGINX
    MOBILE --> NGINX
    NGINX --> API
    NGINX --> AUTH
    NGINX --> FILES

    API --> PG
    API --> REDIS
    API --> EMAIL
    API --> PDF

    AUTH --> PG
    AUTH --> REDIS

    FILES --> S3
    FILES --> PG

    PDF --> VNPT
    EMAIL --> SMTP

Core Components

1. Frontend Applications

Web Application (Next.js)

  • Purpose: Main user interface for document management
  • Technologies: Next.js 14, TypeScript, Tailwind CSS
  • Key Features:
    • Server-side rendering for performance
    • Real-time updates via WebSocket
    • Progressive Web App capabilities

Mobile Application (React Native)

  • Purpose: Mobile access to core features
  • Technologies: React Native, TypeScript
  • Platforms: iOS and Android

2. Backend Services

Main API (NestJS)

  • Purpose: Core business logic and orchestration
  • Responsibilities:
    • Document workflow management
    • User management
    • Project and task management
    • Integration coordination

Authentication Service (Go)

  • Purpose: Handle authentication and authorization
  • Features:
    • JWT token management
    • OTP generation and verification
    • Session management
    • Role-based access control

Files Service (Go)

  • Purpose: File upload and management
  • Features:
    • Multipart upload support
    • File versioning
    • Virus scanning integration
    • Thumbnail generation

Email Service

  • Purpose: Email integration and management
  • Features:
    • IMAP/SMTP integration
    • Email parsing and threading
    • Attachment handling

PDF Service

  • Purpose: PDF processing and manipulation
  • Features:
    • PDF generation
    • Digital signature placement
    • PDF merging and splitting
    • OCR capabilities

3. Data Storage

PostgreSQL

  • Purpose: Primary data store
  • Usage:
    • User data
    • Document metadata
    • Workflow states
    • Audit logs

Redis

  • Purpose: Caching and session storage
  • Usage:
    • Session management
    • API response caching
    • Rate limiting
    • Real-time features

AWS S3

  • Purpose: Object storage
  • Usage:
    • Document storage
    • File attachments
    • Backup storage

Communication Patterns

Synchronous Communication

  • REST APIs for client-server communication
  • gRPC for inter-service communication (where applicable)

Asynchronous Communication

  • Redis Pub/Sub for real-time updates
  • Bull queues for background jobs
  • WebSocket for real-time client updates

Security Architecture

Authentication Flow

  1. User login with credentials
  2. OTP verification (if enabled)
  3. JWT token generation
  4. Token refresh mechanism

Authorization

  • Role-Based Access Control (RBAC)
  • Resource-level permissions
  • API key authentication for external integrations

Data Security

  • Encryption at rest (database)
  • Encryption in transit (HTTPS)
  • Document encryption for sensitive files

Deployment Architecture

Kubernetes Deployment

  • Namespaces: Separate environments (dev, staging, production)
  • Services: LoadBalancer for external access
  • Ingress: Nginx ingress controller
  • Secrets: Kubernetes secrets for sensitive data

Scaling Strategy

  • Horizontal Pod Autoscaling for services
  • Database read replicas for read-heavy operations
  • CDN for static assets

Monitoring and Observability

Metrics

  • Prometheus for metrics collection
  • Grafana for visualization

Logging

  • Centralized logging with ELK stack
  • Structured logging format

Tracing

  • OpenTelemetry for distributed tracing
  • Jaeger for trace visualization

Disaster Recovery

Backup Strategy

  • Daily database backups
  • S3 cross-region replication
  • Configuration backups in Git

High Availability

  • Multi-zone deployment
  • Database replication
  • Service redundancy

Future Considerations

Planned Improvements

  • Event-driven architecture with Kafka
  • GraphQL API gateway
  • Machine learning for document classification
  • Blockchain integration for document verification

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