How we scaled a legacy retail platform with Next.js, Node.js, and AWS to boost transaction volumes and achieve sub-second load times.
Our client, a fast-growing retail brand, faced critical page load delays (average 4.8 seconds) and server crashes during holiday flash sales. The monolithic legacy architecture suffered from heavy query loads, causing high checkout abandonment rates and direct revenue losses.
They needed a decoupled headless architecture capable of handling traffic spikes, reducing load times to under 1.5 seconds, and providing a highly responsive web interface on all devices.
| Client: | Retail SME (Trendify Group) |
| Services: | Web Engineering, API Architecture, Headless E-commerce |
| Tech Stack: | Next.js, Node.js, Express, MySQL, AWS EC2/S3 |
| Duration: | 8 Weeks (Agile Sprints) |
Rebuilt the front-end with Next.js, implementing Server-Side Rendering (SSR) and Incremental Static Regeneration (ISR) to pre-render dynamic store pages.
Developed a fast Node.js/Express API layer with database connection pooling and Redis caching to prevent database bottlenecks.
Deployed the APIs in containerized environments (Docker) behind an AWS Elastic Load Balancer with autoscaling to accommodate massive traffic spikes.
Due to rapid checkout load times and seamless cart UI mechanics.
Upgraded from 4.8s to sub-second load, satisfying Google core web vitals.
Zero service interruptions during peak high-volume sales events.
Ready to unlock blazing-fast performance and handle unlimited concurrent shoppers? Let's design a custom setup today.