Transforming global retail operations with a Java Spring Boot microservices architecture to achieve rapid scaling and cross-border business agility.
One of Asia’s largest clothing retailers, operating over 2,500 stores across the globe.
The client’s reliance on fragmented third-party order management systems led to frequent festive-season outages and limited scalability across international markets.
QBurst developed a comprehensive digital e-commerce ecosystem centered on a Java Spring Boot microservices backend orchestrated via Kubernetes. The solution replaced a high-dependency vendor model with a unified, in-house global order management system capable of handling over a million requests per hour. By implementing a Backend-for-Frontend (BFF) layer and a rolling deployment strategy, we ensured peak performance and seamless localized rollouts across eight countries.
Headquartered in Asia, the client is a global retail powerhouse with a physical presence exceeding 2,500 stores. They are a market leader in the apparel industry, focusing on providing high-quality clothing through a mix of physical storefronts and a rapidly expanding digital presence across North America and Asia.
The client’s legacy infrastructure was composed of disparate third-party systems that hampered global consistency and technical independence.
We architected a modular system comprising over 20 platforms, including specialized modules for order fulfillment, inventory management, and regional costing. The backend leverages Java Spring Boot microservices running on Amazon EKS, ensuring narrow, focused responsibilities for each service.
The platform utilizes a sophisticated stack to ensure high performance and data consistency:
The solution was built on a foundation of Cloud-Native Digital Engineering. By using a unified codebase with localized configuration files, we enabled "feature toggling" specific to different countries while maintaining core global logic. The infrastructure runs on two sets of Auto Scaling Groups (ASGs) to balance cost and performance automatically.
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Client Profile
Challenges
QBurst Solution
Technical Highlights
Implementation Approach
Impact