Case Study: Daniel Wellington achieves a predictable, scalable, cost-efficient platform with Amazon Web Services

Watchmaker Improves Scalability with Microservices Platform on AWS

Daniel Wellington, the Swedish watchmaker that grew rapidly through social media-driven sales, needed an infrastructure that could support international expansion and unpredictable traffic spikes. Its challenge was to replace a static, capacity-heavy setup with a platform that could scale predictably during high-order events and avoid paying for idle compute.

DW re-architected its environment on AWS using a microservices approach with AWS Lambda, Amazon Kinesis, Amazon Cognito, EC2, and AWS Enterprise Support. The new platform delivers automatic scaling during peak sales, greater efficiency by eliminating idle compute, and improved performance thanks to AWS solution-architect guidance—resulting in a stable, predictable storefront regardless of volume.

Daniel Wellington

Lezgin Bakircioglu

Head of Global IT Operations