To ensure scalability and availability during the peak-demand season, and to materialize the cost savings enabled by elasticity, lastminute.com planned to migrate most of its core business applications and microservices to the public cloud.
The challenge that lastminute.com launched to Akamas was to reconcile two competing goals in JVM and container resource configuration for each of its microservices: maximize service throughput, while minimizing resource allocation.
Traditional performance management approaches and tools do not lend themselves to optimize the cost-efficiency of Java and Kubernetes-based services.
On the other hand, Akamas’ AI-driven technology was created precisely to address this type of challenge. By using its autonomous performance optimization approach, Akamas managed to meet lastminute.com’s requirements and to exceed their expectations. A sneak peek of the results:
Learn more about lastminute.com’s unique challenges, the approach we took, and how Akamas delivered unexpected performance and cost results in less than 2 weeks.
