E-commerce Platform Scaling

The Challenge

GlobalShop was experiencing rapid growth but faced significant performance issues during sales events when traffic increased tenfold. Their monolithic architecture couldn't scale efficiently, leading to slow page loads, checkout failures, and lost sales. They needed to redesign their infrastructure to handle peak loads while maintaining a seamless customer experience.

Our Solution

CDDA redesigned GlobalShop's e-commerce platform with a focus on scalability and performance. We migrated from a monolithic architecture to a microservices approach deployed on Kubernetes. Our team implemented auto-scaling capabilities, content delivery networks, and caching strategies to handle traffic spikes. We also optimized database queries and implemented read replicas to distribute database load during peak periods.

Our Approach

• Infrastructure as Code: Used Terraform to create reproducible, scalable infrastructure
• Container Orchestration: Implemented Kubernetes for efficient resource utilization
• Caching Strategy: Deployed multi-layer caching to reduce database load
• Performance Testing: Conducted load testing to simulate peak traffic scenarios
• Monitoring and Alerting: Set up comprehensive monitoring with automated scaling triggers

Results & Impact