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Key Metrics

Technologies Used

E-commerce Platform Redesign

Project Overview

This project involved the complete redesign and rebuild of a large-scale e-commerce platform that serves over 100,000 active users. The existing platform was built with legacy technologies and had significant performance and user experience issues.

Challenges

  • Performance Issues: Page load times averaging 8+ seconds
  • Poor Mobile Experience: Non-responsive design causing 40% bounce rate on mobile
  • Scalability Problems: Database queries taking 5+ seconds during peak traffic
  • Maintenance Overhead: Legacy codebase requiring significant time for updates

Solution

Architecture Redesign

I led the complete architectural redesign using modern technologies:

  • Frontend: Next.js 15 with TypeScript for type safety and better developer experience
  • Backend: Node.js with Express for API development
  • Database: PostgreSQL with Redis for caching
  • Infrastructure: AWS with auto-scaling and CDN

Key Features Implemented

  1. Server-Side Rendering: Improved SEO and initial page load performance
  2. Progressive Web App: Offline functionality and app-like experience
  3. Real-time Inventory: Live stock updates across all users
  4. Advanced Search: Elasticsearch integration for fast product discovery
  5. Payment Integration: Multiple payment gateways with secure processing

Results

The new platform delivered significant improvements across all key metrics:

  • 60% improvement in page load times (from 8s to 3.2s average)
  • 25% increase in conversion rates through better UX
  • 40% revenue growth in the first 6 months
  • 90% reduction in mobile bounce rate

Technical Implementation

Performance Optimizations

// Example of the caching strategy implemented
const cacheKey = `product:${productId}:${userId}`;
const cachedProduct = await redis.get(cacheKey);

if (cachedProduct) {
  return JSON.parse(cachedProduct);
}

const product = await db.product.findUnique({
  where: { id: productId },
  include: { variants: true, images: true },
});

await redis.setex(cacheKey, 3600, JSON.stringify(product));
return product;

Database Optimization

  • Implemented connection pooling
  • Added database indexing strategy
  • Optimized complex queries with proper joins
  • Implemented read replicas for scaling

Frontend Performance

  • Code splitting and lazy loading
  • Image optimization with next/image
  • Bundle analysis and optimization
  • Critical CSS inlining

Lessons Learned

  1. Performance First: Early performance testing and optimization is crucial
  2. User Research: Understanding user behavior led to better UX decisions
  3. Gradual Migration: Phased rollout reduced risk and allowed for quick iterations
  4. Monitoring: Comprehensive monitoring helped identify and fix issues quickly

Technologies Used

  • Frontend: Next.js 15, TypeScript, Tailwind CSS, React Query
  • Backend: Node.js, Express, Prisma ORM
  • Database: PostgreSQL, Redis
  • Infrastructure: AWS (EC2, RDS, ElastiCache, CloudFront)
  • Monitoring: DataDog, Sentry
  • Testing: Jest, Cypress, Playwright

This project demonstrated the importance of modern web technologies and proper architecture in delivering exceptional user experiences while maintaining scalability and performance.

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