Case Study: a pharma giant accelerates drug discovery with Mirantis Kubernetes Engine

a pharma giant saves 50% in support costs with Mirantis

A major pharmaceutical company based in Europe faced the challenge of accelerating its drug discovery pipelines. It needed to expand its R&D data platform's capabilities to support computation-intensive research, including AI and machine learning, and to drastically reduce the time required for prototyping new data science tools. To address this, the company partnered with Mirantis and utilized the Mirantis Kubernetes Engine.

Mirantis implemented a hybrid, multi-cloud R&D data platform based on Mirantis Kubernetes Engine. This solution provided scientists with agile, scalable, and platform-agnostic access to data and applications. The results included a 50% reduction in support costs for migrated web services and the acceleration of prototyping tasks from months to just minutes, enabling faster and better data-driven decisions.