Technical architecture guides for Flash Turbo CMS.
Complete system architecture covering:
- Multi-tenant design and isolation
- Data separation strategy
- Component architecture
- Security measures
- Scaling considerations
- Includes Mermaid diagrams
End-to-end data flow diagrams for:
- System overview
- Product lifecycle
- Order processing
- Search and filtering
- Inventory management
- Authentication and authorization
- Cache invalidation
- Real-time updates
Complete payment system guide:
- Razorpay integration
- Payment flow (step-by-step)
- Collections schema
- Webhook processing
- Error handling and refunds
- Security measures
- Testing cards
- Performance optimization
Caching architecture and best practices:
- Cache layers (CDN, Redis, DB)
- Cache strategy by entity
- Invalidation strategies
- Cache warming
- Key naming convention
- Distributed caching
- Troubleshooting
Frontend Apps → Backend API → Database
↓
Multi-tenant isolation at every layer
Cache layer for performance
S3 storage for files
Request → Tenant Resolution → Query Building →
Execution → Result Filtering → Response
Customer Checkout → Razorpay Gateway →
Bank Processing → Webhook → Order Creation
Browser → CDN → Redis → Database
Each layer adds latency vs freshness tradeoff
1. Multi-Tenancy
- Complete data isolation between tenants
- Enforced at API, query, and cache levels
- Single database, multiple logical databases
2. Performance
- Multi-layer caching (CDN, Redis, In-Memory)
- Optimized queries with proper indexing
- Asynchronous processing where possible
3. Security
- HTTPS/TLS encryption
- Authentication on every request
- Authorization verified at endpoint level
- Sensitive data never cached
4. Scalability
- Stateless API servers
- Shared Redis for caching
- MongoDB sharding ready
- Horizontal scaling supported
5. Reliability
- Error handling and recovery
- Idempotent operations
- Webhook retry logic
- Transaction support where needed
- Frontend: Next.js 14+
- Backend: Payload CMS v3.60+
- Database: MongoDB 5.0+
- Cache: Redis 6.0+
- Storage: AWS S3
- CDN: AWS CloudFront
- Payments: Razorpay
- Deployment: Docker/Kubernetes
- Load balancer (for multiple instances)
- SSL certificates
- Monitoring and logging
- Backup storage
1. Multi-Tenancy Pattern
- Tenant identification from request
- Automatic tenant filtering in queries
- Tenant-scoped cache keys
2. Repository Pattern
- Database access through repositories
- Consistent query interface
- Testable data layer
3. Hook Pattern
- Pre/post hooks on collections
- Automatic field population
- Cache invalidation triggers
4. Event-Driven
- Emit events on data changes
- Webhook handlers for external systems
- Eventual consistency model
5. Cache-Aside Pattern
- Check cache first
- If miss, query database
- Populate cache with result
- Return to client
Read Multi-Tenant Architecture to understand overall design (15 min)
Study Data Flow Architecture to see how requests flow (20 min)
Check security measures in Payment Integration and Multi-Tenant Architecture (10 min)
Reference Caching Strategy when optimizing (ongoing)
- Design data model (collections)
- Add tenant isolation
- Plan caching strategy
- Reference Data Flow Architecture for API pattern
- Implement with proper error handling
- Check Caching Strategy
- Add caching for repeated queries
- Review indexes in MongoDB
- Use projections to limit fields
- Review Multi-Tenant Architecture
- Always filter by tenantId in queries
- Test with multiple tenants
- Never cache without tenant prefix
- See Payment Integration - Error Handling section
- Implement retry logic
- Notify customer and admin
- Log all payment attempts
- User Guides:
docs/user/
- Developer Guides:
docs/dev/
- Operations:
docs/ops/
- Implementation Details:
docs/implementation/
- AI Chat:
docs/ai-chat/
- Legacy:
docs/archive/
Questions? Review the specific architecture guide for your area.
Last Updated: October 27, 2025
Version: 1.0
Status: ✅ Complete & Current