System Architecture Overview
Comprehensive overview of the Panels Management System architecture, including component design, data flow, and architectural decisions.
Architecture Principles
The Panels Management System is built on these core architectural principles:
1. Multi-tenant by Design
- Tenant Isolation: Complete data separation between organizations
- Shared Infrastructure: Efficient resource utilization
- Scalable Authentication: JWT-based with tenant context
2. Domain-Driven Design
- Bounded Contexts: Clear separation of concerns
- Entity Relationships: Well-defined data models
- Business Logic: Encapsulated in domain services
3. Event-Driven Architecture
- Async Processing: Non-blocking data operations
- Real-time Updates: WebSocket connections for live data
- Change Tracking: Complete audit trail
4. API-First Design
- RESTful APIs: Standard HTTP operations
- Type Safety: TypeScript across the stack
- Client Libraries: Strongly-typed API clients
High-Level Architecture
┌─────────────────────────────────────────────────────────────┐
│ Client Applications │
├─────────────────────┬─────────────────────┬─────────────────┤
│ Web App │ Mobile App │ Third-party │
│ (Next.js) │ (React Native) │ Integrations │
└─────────────────────┴─────────────────────┴─────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ API Gateway / Load Balancer │
│ (nginx/CloudFlare) │
└─────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Backend Services │
├─────────────────────┬─────────────────────┬─────────────────┤
│ API Server │ Worker Queue │ File Service │
│ (Fastify) │ (BullMQ/Redis) │ (S3/Local) │
└─────────────────────┴─────────────────────┴─────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Data & Cache Layer │
├─────────────────────┬─────────────────────┬─────────────────┤
│ PostgreSQL │ Redis │ External │
│ (Primary DB) │ (Cache/Queue) │ Data Sources │
└─────────────────────┴─────────────────────┴─────────────────┘
Core Components
Frontend Applications
Next.js Web Application
- Framework: Next.js 15.3.3 with React 19
- Styling: Tailwind CSS 4.1.7 with DaisyUI 5.0.43
- State Management: Zustand with React Query
- Authentication: NextAuth.js with JWT
- Real-time: WebSocket connections for live updates
typescript
// Component architecture
apps/app/
├── pages/ // Next.js pages and API routes
├── components/ // Reusable UI components
├── hooks/ // Custom React hooks
├── stores/ // Zustand state stores
├── utils/ // Utility functions
└── types/ // TypeScript type definitions
Key Frontend Features
- Responsive Design: Mobile-first responsive layouts
- Real-time Updates: Live data synchronization
- Offline Support: PWA capabilities with caching
- Accessibility: WCAG 2.1 AA compliance
- Performance: Code splitting and lazy loading
Backend Services
API Server (Fastify)
- Framework: Fastify 5.3.2 for high performance
- Database: MikroORM 6.4.16 with PostgreSQL
- Validation: Zod schemas for type-safe validation
- Authentication: JWT with multi-tenant context
- Documentation: OpenAPI/Swagger integration
typescript
// Service architecture
apps/services/
├── src/
│ ├── modules/ // Feature modules
│ │ ├── panels/ // Panel management
│ │ ├── columns/ // Column operations
│ │ ├── views/ // View management
│ │ └── auth/ // Authentication
│ ├── database/ // Database configuration
│ ├── plugins/ // Fastify plugins
│ └── utils/ // Shared utilities
Module Structure
Each module follows a consistent structure:
typescript
// Module organization
modules/panels/
├── entities/ // Database entities
├── routes/ // HTTP route handlers
├── services/ // Business logic
├── schemas/ // Validation schemas
└── tests/ // Unit and integration tests
Data Layer
PostgreSQL Database
- Version: PostgreSQL 16 with optimized configuration
- Schema Design: Multi-tenant with proper indexing
- Migrations: Automated schema versioning
- Performance: Connection pooling and query optimization
sql
-- Core entity relationships
Tenants 1:N Panels 1:N DataSources
Panels 1:N Columns
Panels 1:N Views
Columns N:M Views (visibility mapping)
Redis Cache/Queue
- Caching: API response caching and session storage
- Queue: Background job processing with BullMQ
- Real-time: WebSocket session management
- Rate Limiting: Request throttling storage
Data Flow Architecture
1. Panel Creation Flow
User Request → Authentication → Validation → Entity Creation → Event Emission
↓ ↓ ↓ ↓ ↓
Next.js JWT Verify Zod Schema MikroORM WebSocket
Frontend Middleware Validation Entity Broadcast
2. Data Source Synchronization
Scheduled Job → Data Fetch → Transform → Store → Notify
↓ ↓ ↓ ↓ ↓
BullMQ External Column Panel Users
Queue API/DB Mapping Update (WebSocket)
3. Real-time View Updates
Data Change → Event → Queue → Process → Broadcast
↓ ↓ ↓ ↓ ↓
Database Change Redis Formula WebSocket
Trigger Event Queue Recalc Clients
Security Architecture
Authentication & Authorization
typescript
// Security layers
┌─────────────────────────────────────┐
│ Client Layer │ ← HTTPS/TLS
├─────────────────────────────────────┤
│ API Gateway │ ← Rate Limiting
├─────────────────────────────────────┤
│ Application Layer │ ← JWT Validation
├─────────────────────────────────────┤
│ Database Layer │ ← Row-level Security
└─────────────────────────────────────┘
Multi-tenant Security
- Tenant Isolation: All queries include tenant context
- Row-level Security: Database-enforced data separation
- JWT Claims: Tenant and user information in tokens
- API Authorization: Route-level permission checks
Data Protection
- Encryption at Rest: Database and file storage encryption
- Encryption in Transit: TLS 1.3 for all communications
- Secrets Management: Environment-based configuration
- Access Logging: Comprehensive audit trails
Scalability Design
Horizontal Scaling
Application Tier
typescript
// Load balancer configuration
nginx → [API Server 1, API Server 2, API Server N]
↓
[Worker Queue 1, Worker Queue 2, Worker Queue N]
Database Tier
sql
-- Read replicas for query scaling
Master DB (Write) → [Read Replica 1, Read Replica 2, Read Replica N]
Cache Tier
typescript
// Redis cluster for high availability
Redis Cluster → [Node 1, Node 2, Node 3, Node 4, Node 5, Node 6]
Vertical Scaling
- Resource Allocation: CPU and memory optimization
- Connection Pooling: Efficient database connections
- Caching Strategy: Multi-layer caching approach
- Query Optimization: Indexed queries and materialized views
Performance Characteristics
Response Time Targets
Operation Type | Target | Measurement |
---|---|---|
Panel List | < 200ms | 95th percentile |
Panel Creation | < 500ms | 95th percentile |
Data Sync | < 30s | Average |
View Rendering | < 1s | 95th percentile |
Real-time Updates | < 100ms | Latency |
Throughput Targets
Metric | Target | Notes |
---|---|---|
Concurrent Users | 10,000+ | Per instance |
API Requests/sec | 1,000+ | Peak load |
Data Sync Jobs/min | 100+ | Background processing |
WebSocket Connections | 5,000+ | Real-time users |
Technology Stack
Frontend Stack
typescript
React 19 // UI framework
Next.js 15.3.3 // Full-stack framework
TypeScript 5.0+ // Type safety
Tailwind CSS 4.1.7 // Styling framework
DaisyUI 5.0.43 // Component library
Zustand // State management
React Query // Server state
React Hook Form // Form handling
Zod // Schema validation
Backend Stack
typescript
Node.js 18+ // Runtime
Fastify 5.3.2 // Web framework
TypeScript 5.0+ // Type safety
MikroORM 6.4.16 // ORM/Database
PostgreSQL 16 // Primary database
Redis 7 // Cache/Queue
BullMQ // Job queue
Zod // Schema validation
Pino // Logging
Infrastructure Stack
bash
Docker # Containerization
nginx # Reverse proxy
pnpm # Package manager
GitHub Actions # CI/CD
Sentry # Error monitoring
Prometheus # Metrics
Grafana # Dashboards
Deployment Architecture
Production Environment
Internet
↓
CloudFlare (CDN/WAF)
↓
Load Balancer (nginx)
↓
┌─────────────────────────────────────┐
│ Application Cluster │
│ ┌─────────┐ ┌─────────┐ ┌────────┐ │
│ │ App 1 │ │ App 2 │ │ App N │ │
│ │ API+Web │ │ API+Web │ │API+Web │ │
│ └─────────┘ └─────────┘ └────────┘ │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Data Cluster │
│ ┌─────────┐ ┌─────────┐ ┌────────┐ │
│ │PostgreSQL│ │ Redis │ │ Files │ │
│ │ Primary │ │ Cluster │ │ (S3) │ │
│ └─────────┘ └─────────┘ └────────┘ │
└─────────────────────────────────────┘
Development Environment
bash
# Local development stack
docker-compose up
├── PostgreSQL (localhost:5432)
├── Redis (localhost:6379)
├── API Server (localhost:3001)
└── Frontend App (localhost:3000)
Monitoring and Observability
Metrics Collection
typescript
// Prometheus metrics
http_request_duration_seconds // Request latency
http_requests_total // Request count
database_query_duration // DB performance
active_websocket_connections // Real-time usage
queue_jobs_total // Background processing
Logging Strategy
typescript
// Structured logging with Pino
{
level: 'info',
timestamp: '2024-01-01T12:00:00.000Z',
requestId: 'req-123',
userId: 'user-456',
tenantId: 'tenant-789',
operation: 'panel.create',
duration: 150,
success: true
}
Health Checks
typescript
// Multi-layer health monitoring
/health // Basic health
/health/detailed // Component health
/metrics // Prometheus metrics
Disaster Recovery
Backup Strategy
- Database: Automated daily backups with point-in-time recovery
- Files: Versioned storage with cross-region replication
- Configuration: Infrastructure as code with Git versioning
Recovery Procedures
- RTO (Recovery Time Objective): < 4 hours
- RPO (Recovery Point Objective): < 1 hour
- Automated Failover: Database and cache layer
- Manual Failover: Application layer with load balancer
Future Architecture Considerations
Microservices Evolution
typescript
// Potential service decomposition
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Panel │ │ Data │ │ View │
│ Service │ │ Service │ │ Service │
└─────────────┘ └─────────────┘ └─────────────┘
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Auth │ │ Notification│ │ Export │
│ Service │ │ Service │ │ Service │
└─────────────┘ └─────────────┘ └─────────────┘
Event Streaming
typescript
// Kafka for high-volume event processing
Panel Events → Kafka → [Consumer 1, Consumer 2, Consumer N]
Global Distribution
typescript
// Multi-region deployment
Region 1 (Primary) ↔ Region 2 (Secondary) ↔ Region 3 (DR)
Architectural Decisions Record (ADR)
ADR-001: Monolith vs Microservices
- Decision: Start with modular monolith
- Rationale: Faster development, easier deployment, clear module boundaries
- Status: Implemented
- Future: Evaluate microservices at scale
ADR-002: Database Choice
- Decision: PostgreSQL as primary database
- Rationale: ACID compliance, JSON support, excellent performance
- Status: Implemented
- Alternatives: MySQL, MongoDB considered
ADR-003: Real-time Updates
- Decision: WebSocket with Redis pub/sub
- Rationale: Low latency, reliable delivery, good scaling
- Status: Implemented
- Alternatives: Server-sent events, polling considered
ADR-004: Multi-tenancy Strategy
- Decision: Shared database with tenant isolation
- Rationale: Cost-effective, simpler operations, good performance
- Status: Implemented
- Alternatives: Separate databases, separate schemas considered
Summary
The Panels Management System architecture provides:
- Scalability: Horizontal and vertical scaling capabilities
- Security: Multi-layered security with tenant isolation
- Performance: Sub-second response times with real-time updates
- Reliability: High availability with disaster recovery
- Maintainability: Clean architecture with clear boundaries
- Extensibility: Plugin architecture for future enhancements
This architecture supports the current requirements while providing a foundation for future growth and evolution.