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Retail Tech / E-commerceJavaSpring Boot

Scalable E-commerce Backend Modernization

70% Improvement
Key Performance Metric

Project Overview

Client:Fast-Growing E-commerce Platform
Industry:Retail Tech / E-commerce
Duration:18 months
Team Size:Backend Engineering & DevOps Team

Challenge

A fast-growing e-commerce platform serving 10M+ users monthly faced backend limitations due to monolithic architecture slowing response times, frequent downtime during traffic peaks, poor observability into API performance and failures, and caching inconsistencies with database bottlenecks. The objective: Modernize the backend with a scalable microservices architecture, optimized for performance, resilience, and future growth.

Our Solution

We rebuilt the platform backend for modularity, speed, and stability — with modern DevOps and observability baked in.

Microservices Refactoring

Decomposed the monolith into Java-based Spring Boot microservices. Introduced domain-driven design with clear service boundaries. Created REST APIs with consistent error handling and versioning.

Database & Caching Strategy

Migrated to PostgreSQL with optimized indexing and read replicas. Integrated Redis for low-latency data access. Applied connection pooling and transaction isolation best practices.

Observability & Error Monitoring

Integrated distributed tracing and API performance dashboards. Used Prometheus + Grafana for real-time metrics. Automated alerting for slow endpoints and degraded performance.

Cloud-Native Deployment

Deployed microservices on Kubernetes clusters with autoscaling. Implemented blue-green deployments for safer updates. Added rollback and circuit-breaker logic in API gateway.

Results

10M+ Monthly Users Supported

Successfully scaled to support 10M+ monthly users with 99.95% uptime through robust microservices architecture.

30% Faster API Response Time

Achieved 30% improvement in API response times across catalog and checkout flows through optimized database and caching strategies.

50% Drop in Critical Errors

Reduced critical errors by 50% during peak loads through improved error handling and circuit-breaker implementation.

Seamless Seasonal Scaling

Enabled seamless seasonal scaling for high-traffic events like Black Friday and Diwali through cloud-native deployment architecture.

What Our Client Says

"
This backend re-architecture made us truly cloud-ready. Our performance is stable, predictable, and built to grow.
Director of Engineering
Fast-Growing E-commerce Platform

Technologies Used

Frontend & Backend

JavaSpring BootREST APIsPostgreSQLRedisKubernetesDocker

Infrastructure & Tools

AWSPrometheusGrafanaJaegerJenkinsGitOpsReact

Want a Backend That Handles Real-World Scale?

We help e-commerce teams build fast, fault-tolerant architectures that delight users and deliver revenue — even under pressure.