Featured Customer Success Stories
Interested in how different organizations are deploying Mirantis solutions to help modernize their cloud environments? Fill out the adjacent form to access the four case studies summarized below to learn more.
Mutuelle Just is a multi-service insurance provider based in France that has been operating for nearly 100 years. Due to France’s unique practice of public and private insurance partnerships, Mutuelle Just operates a data-heavy, customer-centric business, which exacerbated their need for a modern cloud environment. The company deployed Mirantis Kubernetes Engine, using Swarm orchestration, implementing an edge cluster architecture that allows for efficient updates with zero downtime.
A Leading Asian Telecommunications Operator based in one of the largest Asian countries, has a subscriber base of over 400M and a growing portfolio of digital services and applications. The operator needed to efficiently deploy and scale digital services at massive scale, while still providing self-service capabilities to their independent software teams. The Mirantis solution: an OpenStack-based private cloud, deployed efficiently across thousands of physical servers using automated CI/CD pipelines.
A Global 500 Bank based in northern Europe wanted to create a GitOps driven, container-based application pipeline with a scalable, easy-to-use infrastructure to support containerized, microservices-based development for mobile, web, and enterprise applications. The solution employed Mirantis Kubernetes Engine and Mirantis Container Runtime, providing the bank with Kubernetes and Swarm as substrates for development, test, and production. Around this infrastructure, the bank built a modern CI/CD pipeline, allowing their developers to modify and release workloads to testing and production, at scale, in a matter of minutes as opposed to days.
A Top Pharmaceutical Company, based in Europe, has built an agile R&D data platform based on Mirantis Kubernetes Engine that enables scientists to make better and faster data-driven decisions. The pharma needed to expand its data capabilities to support computation-intensive research, including big data analytics, artificial intelligence and machine learning. By deploying a hybrid, multi-cloud data platform, scientists can access data and applications in a platform-agnostic way, and containers enable efficient resource utilization for computation heavy workloads.