An automotive seat manufacturer used cloud computing technology to ensure business continuity and seamless operations. With new branches added to its portfolio, the organization aims to ensure superior quality and easy access to all its services and facilities across the globe for its user base. They synchronized their data into a cloud computing platform and streamlined all work processes, allowing the automotive seat manufacturer to achieve uninterrupted operations and other benefits. Using cloud computing to streamline operations

A steel manufacturer used big data technology to spur innovation and develop data-driven, cost-efficient models. Motivated by a desire to manage production at a low cost, the manufacturer used cloud computing software to build, deploy and manage operations through a data center. They now have a transparent solution that enables them to make informed decisions on where they can optimize IT resources and debate cost-cutting ideas.

An engine manufacturer used cloud computing technology to understand their engines better and design new ones that accelerated the transition towards a zero-carbon future. The manufacturer employed virtualization technology to separate CPUs and their operating system using an abstractor layer called a hypervsior. For the construction of sustainable engines, the manufacturer was able to deliver new data insight to its engineers.

A professional service provider needed to migrate to a cost effective data base system that could analyze data quickly and give high level performance. They employed a high-performance in-memory database that provides advanced analytics on multimodel data and integrates data from across the enterprise, enabling faster decisions based on live data. They stored massive amounts of data at an even lower cost, while allowing users to perform complex analytics on said data.

A financial service provider began to notice performance bottlenecks particularly with the its graph database and needed to keep its app secure, reliable, and high performing. Using cloud computing technology, they automated cluster deployment and management of containerized applications while keeping applications available. Container images were stored in a registry for fast and scalable retrieval. Integrated logging with stackdriver made it easy to identify issues, and they scaled up or down as needed to keep performance high and costs low, with zero downtime for users. The financial service provider were able to reduce error resolution times and improved time to market for app development. They could iterate quickly, find issues, and redeploy.