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Microservices-Based Digital E-commerce Platform for Global Retail

Transforming global retail operations with a Java Spring Boot microservices architecture to achieve rapid scaling and cross-border business agility.

Client

One of Asia’s largest clothing retailers, operating over 2,500 stores across the globe.

Problem Statement

The client’s reliance on fragmented third-party order management systems led to frequent festive-season outages and limited scalability across international markets.

Industry

Retail

Solution

Digital Experience

Modernization

Product Engineering

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Quick Summary

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.

  • Massive Scalability: Engineered the system to handle twice the previous year's peak load, facilitating high-velocity sales during critical festive seasons.
  • Operational Agility: Enabled the client to manage three distinct brands and eight geographical regions using a single, highly configurable codebase.

Client Profile

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.

Challenges: Fragmented Systems and Scaling Bottlenecks

The client’s legacy infrastructure was composed of disparate third-party systems that hampered global consistency and technical independence.

  • Geographical Silos: Individual deployments in regions like the US, China, and Canada made it difficult to maintain a unified global inventory and order view.
  • Vendor Dependency: High reliance on external vendors for localized implementations led to increased costs and slower time-to-market for new features.
  • Costly Downtime: Systemic instability during high-traffic festive periods resulted in significant revenue loss due to infrastructure outages.

QBurst Solution: Resilient Microservices Ecosystem

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.

  • Multi-Layered Orchestration: Implemented a Backend-for-Frontend (BFF) layer that merges internal APIs to enhance security and provide tailored data for web and mobile interfaces.
  • Intelligent Inventory & Costing: Developed a stock system supporting provisional and real booking across multiple warehouses, paired with a business-rule-driven cost engine for automated tax and price lookups.
  • Automated Scaling & Deployment: Deployed a rolling strategy for ECS clusters that scales to 200% based on CPU requirements, ensuring stability during sudden demand spikes.
  • Distributed Data Strategy: Integrated Redis for distributed caching and Kafka for asynchronous order processing to reduce database strain and improve response times.

Technical Highlights

The platform utilizes a sophisticated stack to ensure high performance and data consistency:

  • Query & Library Optimization: Replaced heavy processing libraries and optimized SQL queries to slash response times.
  • API Gateway Security: Channeled all traffic through dedicated gateways for consumer and admin authentication, monitoring, and session logging.
  • Reactive Frontend: Developed a React-based Single Page Application (SPA) using Redux-Saga for efficient state management and high-speed user interactions.
  • Database Per Service: Each microservice maintains its own PostgreSQL instance to ensure loose coupling and independent database job processing.

Implementation Approach

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.

architecture-diagram 1 (1).png

Impact

  • Unprecedented Throughput: Successfully handled a million requests per hour and increased seasonal product sales six-fold in a single day.
  • Global Standardization: Replaced high-cost vendor systems with an agile in-house solution deployed across eight countries.
  • Resilient Operations: Eliminated festive-season outages by doubling the system's previous load capacity through optimized asynchronous processing.
  • Enhanced Inventory Control: Achieved real-time visibility into stock across e-commerce platforms, distribution centers, and physical stores.

Client Profile

Challenges

QBurst Solution

Technical Highlights

Implementation Approach

Impact

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Deloitte Technology Fast 50 India, Winner 2024

Deloitte Fast 50 India, Winner 2024

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Major Contender, QE Specialist Services

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Market Glance: Loyalty in Retail, 2Q26, DEOT 4Q25

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Horizon 1 Disruptor, Data Modernization & AI Services, 2026


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