Whenever I visit a country I like to learn a new phrase, so at Discover in Frankfurt I picked up a new German favorite, ‘Eierlegende Wollmilchsau’. It refers to a pig that lays eggs and produces wool and milk (!?) – in other words an animal that does it all. I reckon the English equivalent is Jack of all trades.
In contrast, our announcements of this week at Discover have been very much about devices which are specialized. Yesterday, we introduced AppSystems which enable customers to manage huge amounts of structured and unstructured data, perform analytics and manage eDiscovery. These devices are optimized to deliver the best performance, time to value and overall customer experience. In our view, one size does not fit all.
What makes the new solutions even more powerful is their ability to work together in harmony, so customers can get the specific functionality they need from each device, with integration that enables multiple capabilities to be delivered in concert. Our new AppSystems for business insights achieve this as they’re not only based on Converged Infrastructure, but also form part of the Next Generation Information Platform, which incorporates a complete range of solutions to help customers fully manage, understand and act on their data. In other words, it’s an approach that effectively delivers wool, milk, meat and eggs – but not all from a single animal.
Another new solution based on HP Converged Infrastructure is the VirtualSystem VS2 for Red Hat Enterprise Virtualization, which delivers record-breaking performance from our latest ProLiant servers and is designed to support hundreds of virtual machines. This broadens our VirtualSystem portfolio with Red Hat so customers can choose from a greater range of architectures to support their business.
We also introduced HP Cloud Maps for Data Protector, which increase the reliability and scalability of backups in an HP CloudSystem environment and help customers meet their business SLAs while minimizing infrastructure cost. This extends our portfolio of over 200 Cloud Maps, which can reduce as many as 200 staff hours from the process of designing, developing, and deploying a new service.