Machine Learning Challenge: Rightsize in 14 Days
During the recent years, the classic mathematics-based models used to create optimization recommendations have been empowered by Machine Learning mechanisms. This resulted in significant improvements in recommendations scope and accuracy of existing tools, as well as the creation of new ones. Having reviewed the ML-based rightsizing offerings by top cloud providers, the Cloud Competency team from Ukraine (Rostyslav Myronenko, Yevhen Nadin, Oleksandr Onsha, Bohdan Onsha) took the challenge to create their own POC. We claimed we would get the initial version of a cloud-agnostic ML-based rightsizing solution within the shortest terms – 2 weeks only. Look, what we got as a re sult! Background and Investigation Modern cloud management needs to cover a wide range of tasks and expectations from businesses and users of all kinds. Resource and cost optimization, effective performance, reliability, fault-tolerance are among them. Naturally, any cloud provider offers its own tools to help users f