Case Study: Sabre achieves optimal cloud performance and cost efficiency with Akamas

Sabre achieves optimal cloud performance and cost efficiency with Akamas

Sabre, the global travel technology company, needed to speed up its cloud migration and application modernization while keeping customer experience stable and controlling rising cloud costs. As it moved monolithic applications to microservices and Kubernetes, Sabre also had to answer difficult right-sizing questions for infrastructure and JVM tuning across different application stacks, and it used Akamas to automate that optimization process.

Using Akamas’ AI-powered optimization platform, Sabre quickly identified the best configurations for cloud instances, Kubernetes pods, and Java runtimes based on performance and cost goals. The results included about a 50% cost reduction for one Kubernetes application service, a 4-6x faster optimization cycle, and improved team productivity and best practices, helping Sabre achieve better performance and cost efficiency across both cloud-native and monolithic applications.

Sabre

Pawel Popiolek

Senior Principal Software Engineer