Case Study

E-commerce Cloud Migration

Scaling an online retailer for peak traffic (Black Friday) with a resilient, cost-optimized cloud architecture.

Client

A national e-commerce retailer selling fashion and home goods with a seasonal spike in traffic.

Challenge

Legacy hosting struggled to absorb traffic spikes during promotional events, causing downtime, slow pages and lost revenue. The client needed a cloud-native architecture that could scale predictably under load.

Outcome

  • 99.99% uptime during Black Friday and peak campaigns
  • 10x increase in traffic handling capacity without manual intervention
  • 45% reduction in infrastructure costs through right-sizing and spot instances
  • 300ms average page load time across global users
Talk to Us
E-commerce migration

Our Approach

Autoscaling & containers

Containerized core services and implemented horizontal autoscaling on Kubernetes to absorb traffic surges.

Multi-region CDN & caching

Global CDN, aggressive caching strategies and edge routing reduced latency and server load.

Cost optimization

Right-sized instances, used reserved/spot capacity, and automated scaling policies to minimize spend.

Tech Stack & Results

AWS Kubernetes Redis
Delivered a highly available platform with predictable scaling and significant cost savings during peak seasons.

Ready to scale for peak demand?

We help retailers prepare for events, reduce risk, and get the most from cloud platforms.

Start a Conversation