Case Study: lastminute.com reduces cloud costs and boosts microservice performance with Akamas

How AI-driven optimization cut cloud costs by 20%, while boosting performance of critical Java microservices on Kubernetes

lastminute.com, a worldwide online travel booking leader, needed to prepare its Java microservices on Kubernetes for public-cloud migration without driving up costs or hurting performance. The team found that manual JVM and container tuning could not scale across its service fleet, so it looked for a way to balance throughput, reliability, and resource usage.

Akamas provided its AI-powered autonomous optimization platform to continuously tune microservice configurations and find the best tradeoff between performance and cost. With Akamas, lastminute.com cut cloud operating costs by 20%, reduced average response time by 2 seconds under load, increased peak transaction volume by 23%, and avoided downtime under heavy traffic, with the business case projecting a 201% ROI and €2.5 million in 3-year present value.

Lastminute.com

Stefano Leopizzi

Program Execution