Case Study: a multinational brand with over 750 retail locations cuts troubleshooting time by 2 weeks with Speedscale

Multinational Brand With Over 750 Retail Locations cuts troubleshooting time by 2 weeks with Speedscale

A multinational cosmetics retailer with over 750 locations faced challenges while migrating its eCommerce platform to microservices, particularly with performance testing in its CI/CD pipeline. Their existing open-source tools lacked robust reporting and automated capabilities, creating manual work and slowing down development. They sought a solution to improve agility and chose Speedscale for its comprehensive feature set.

By implementing Speedscale, the retailer gained key capabilities like traffic replay, chaos testing, and API mocking that ran natively in their Kubernetes cluster. This solution provided immediate value through its Traffic Viewer, which cut troubleshooting time for performance issues from two weeks to less than a day by allowing engineers to see PII-redacted payloads. Speedscale also delivered significant cost savings by eliminating the need for dedicated load generators and VMs.