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Case Study
API / BackendE-Commerce

E-Commerce Performance: 800ms to 120ms API

Reduced API response times by 85% and enabled a marketplace to scale to 50,000 daily active users without infrastructure cost increases.

4 project goals
4 recorded outcomes
6 core technologies
ReferenceDelivery context
E-Commerce Performance: 800ms to 120ms API

Business Context

The problem space and success criteria

A growing e-commerce marketplace was suffering under its own success — slow APIs, frequent timeouts, and an architecture that couldn't support new vendor onboarding.

Project goals

  • Reduce average API response time below 150ms
  • Implement horizontal scaling without code rewrites
  • Add multi-vendor support without data leakage risks
  • Build comprehensive API documentation for mobile team

Technical Response

How the delivery was structured

Solution

Introduced a service-layer architecture, aggressive Redis caching, database query optimization, and AWS Lambda for async processing.

Architecture

Laravel API → MySQL (optimized indexes) → Redis (query cache + sessions) → AWS Lambda (image processing) → CloudFront CDN

Outcomes

Lead result

API response time: 800ms → 120ms (85% reduction)

  • Scaled from 10k to 50k daily active users
  • Infrastructure cost held flat despite 5x traffic growth
  • Zero vendor data leakage incidents

FAQ

Frequently Asked Questions

Questions that usually come up when reviewing the implementation, migration approach, or delivery timeline.

Next Step

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    Case Study: E-Commerce API Optimization | 85% Faster