Month 10: Performance Optimization - Detailed Roadmap

Week 1: Backend Caching
Implement Redis caching for product data
Create database query optimization
Build API response compression
Implement rate limiting
Create database indexing strategy
Week 2: Database Optimization
Build connection pooling optimization
Implement batched database operations
Create background job processing system
Build scheduled task management
Implement database sharding preparation
Week 3: Frontend Optimization
Implement code splitting for all frontends
Create asset optimization pipeline
Build lazy loading for images
Implement component lazy loading
Create CDN integration
Week 4: Monitoring & Metrics
Build browser caching strategy
Implement service worker for offline support
Create frontend error tracking
Build performance monitoring dashboard
Implement system-wide logging and metrics

Performance Configuration Controls

Create granular performance controls for different platform components

Implement dynamic caching policies based on user load and resource availability

Technical Implementation Details

• Caching Strategy: Multi-level caching with Redis for frequently accessed data
• Database Optimization: Indexing, query optimization, and connection pooling
• API Performance: Response compression, batching, and rate limiting
• Frontend Optimization: Bundle splitting, tree shaking, and lazy loading
• Monitoring: End-to-end performance tracking with alerting capabilities

Month 10 Deliverables

• Comprehensive caching system for all platform components
• Optimized database queries and connection management
• Background job processing system for asynchronous tasks
• Frontend performance optimization with code splitting
• CDN integration for static assets
• Performance monitoring and alerting system

Key Technologies & Libraries

Redis
MongoDB Indexes
Bull Queue
Webpack Optimization
CloudFront/Cloudflare
New Relic/Datadog
ELK Stack
Service Workers