lastminute.com is a worldwide leader in online travel booking service based in London.
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, a Moviri company, was to reconcile two competing goals in JVM and container resource configuration for each of its microservices: maximize service throughput, while minimizing resource allocation.
Akamas algorithms, and its integration with mainstream monitoring and testing tooling, empowered lastminute.com to optimize multiple technology stack layers at the same time, operate 24/7, iteratively run tests, and find optimal configurations with minimal supervision, in a reliable and repeatable way. Akamas intelligent automation routinely outperforms template-based, trial-and-error optimization approaches.
Akamas deployed its performance AI to optimize a critical Java microservice in a Kubernetes cluster, resulting in:
Apache Tomcat Application Server powered by OpenJDK JVM running as a microservice in a Kubernetes cluster.
Lastminute optimized its Kubernetes Java microservices powering search in the cloud with our Akamas optimization AI technology.
Increase in peak transaction volume
Cloud cost saving
“Akamas AI allowed us to optimize our container-based Java services, significantly increase reliability under peak loads, and drive towards our cost-saving goals. AI-driven optimization by Akamas created a new competitive advantage for lastminute.com and better efficiency in our private cloud platform. Autonomous performance optimization is real and is here.”