E-commerce Platform Solution

With explosive business growth, a well-known e-commerce platform’s monolithic architecture couldn’t support tens of millions of daily active users. During events like Double 11, the system suffered stutters and outages, and lacked analytics for refined operations, causing severe user churn.

We delivered a full-stack technical refactoring from frontend to backend:

• Microservices Architecture: Based on Spring Cloud Alibaba, split the monolith into 12 microservice centers for product, order, membership, payment, and more.
• High-Concurrency Middleware: Introduced Redis clusters as multi-level caching and RocketMQ for peak shaving to ensure stability under heavy load.
• Omnichannel Frontend Coverage: Built a high-performance React Native mobile app, WeChat mini program, and PC admin console, enabling real-time multi-end data synchronization.
• Big Data Analytics Platform: Built a Hadoop/Spark-based data warehouse to provide real-time sales dashboards, user profiling, and intelligent recommendations.

We adopted a “bi-modal IT” strategy to ensure business continuity:

• Architecture Design & Prototype Validation: Established the technology stack and built a DevOps automated operations pipeline.
• Data Migration & Dual-Write Verification: Seamlessly migrated hundreds of millions of historical records to the new architecture, verifying data consistency via dual-write.
• End-to-End Stress Testing: Simulated real Double 11 traffic for multiple rounds of stress tests to optimize system bottlenecks.

The new system withstood the Double 11 surge:

• Peak QPS exceeded 50,000 with stable, fault-free operation.
• Page load speed improved by 60%, significantly enhancing the shopping experience.
• After launching intelligent recommendations, AOV increased by 15% and GMV grew 40% year-over-year.

Through the refactor, the client solved performance bottlenecks and built a data-driven operations loop, providing a powerful engine for sustained high growth.