High-Traffic E-commerce System

Large-scale traffic handling for order, inventory, and payment

Project Overview

High-volume traffic processing system development for Nike Korea official online store on GS SHOP Breeze Platform. Built a robust system capable of handling massive traffic spikes during limited edition sneaker releases while maintaining real-time inventory accuracy and seamless order-payment integration.

Challenge

Had to handle tens of thousands of concurrent users during limited product releases, maintain real-time inventory accuracy to prevent overselling, ensure seamless integration across order-inventory-payment systems, and provide fair access through lottery mechanisms.

Solution

High-Performance Traffic Management

Implemented advanced caching and load balancing strategies to handle large-scale concurrent traffic, with DB R/W separation ensuring stability during order-payment processing.

Entity-level caching with Hibernate Second Level Cache

CDN integration for static asset delivery and global performance

DB R/W separation: Automatic read/write query separation via proxy

Intelligent load balancing with health checks and auto-scaling

Real-time Inventory & Lottery System

Built sophisticated inventory management and fair lottery system for limited edition product releases.

Real-time inventory tracking with pessimistic locking to prevent overselling

Queue-based lottery system for fair access during high-demand releases

Distributed transaction management across order-inventory-payment services

Automatic abnormal payment cancellation and inventory adjustment via batch processing

Tech Stack

Java

Spring Boot enterprise development

Spring

Hibernate Second Level Cache

Hibernate 2L Cache

MySQL database optimization

MySQL R/W Split

CDN and static asset optimization

Spring Batch

Load balancing and auto-scaling

Nginx

Distributed transaction management

CDN

Lottery and queue systems

AWS

Real-time monitoring and alerts

Key Results

Successfully handled large-scale concurrent users with stability

Achieved high inventory accuracy through overselling prevention

Enhanced customer purchase experience through improved system stability

Improved response times through optimized caching strategies

Learnings

Proper caching strategies are essential for handling traffic spikes in e-commerce systems

Real-time inventory management requires careful balance between performance and accuracy

Fair access mechanisms like lottery systems improve user experience during high demand

End-to-end transaction monitoring is crucial for maintaining system integrity

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