Case Study

Enterprise E-Commerce Scaling

Optimizing a high-traffic e-commerce platform for massive events like Black Friday, focusing on latency reduction and database performance.

Role
Senior Product Engineer
Timeline
3 Months
Industry
Retail / E-Commerce
Focus
React

Problem Breakdown

During peak traffic, the platform's checkout service experienced 2-second latencies, leading to a 15% cart abandonment rate. The database was the primary bottleneck due to unoptimized queries.

Architecture Decisions

  • /Aggressive CDN and Redis caching layer
  • /Go-based microservices for performance-critical checkout paths
  • /Database read replicas to handle high query volume

Trade-offs

  • ¬Cache invalidation complexity for real-time inventory updates
  • ¬Development overhead of maintaining polyglot codebase (Next.js & Go)
  • ¬Strict data consistency vs availability during extreme peak surges

Key Outcomes

  • Reduced average end-to-end latency by 200ms.
  • Handled a 5x traffic surge during Black Friday without downtime.
  • Reduced cart abandonment by 12% through performance gains.
  • Implemented auto-scaling groups to manage elastic demand effectively.
ReactGoRedisCloudFrontDocker

Have a similar system challenge?

I specialize in solving high-stakes technical problems for founders. Let's build something scalable together.

Book a technical discovery call 

Typically respond within 24 hours