Automating Data Management & Data Movement Across Storage Silos

With the continued growth and business value of unstructured data in all industries, IT organizations must cope with increasing operational complexity when they manage digital assets that have to span multiple storage types, locations, and the cloud. This reality impacts data protection, which may become fragmented, and also impacts users, who need to remain online and productive as changes occur with the infrastructure. It also creates economic inefficiencies when multiple copies of data are created, adding costs to store redundant versions of information.

The problem:

Wrangling data services across silos in a hybrid environment can be an extremely manual and risk-prone process, made more difficult by incompatibilities between different storage types. This often results in the need for multiple point solutions, which then add even more burden on IT staff to juggle them all.

In this paper:

We explore how Hammerspace uses the power of metadata to enable customers to solve these problems. Leveraging its high-performance Parallel Global File System, Hammerspace simplifies automation of data services across hybrid environments including storage from any vendor, all major cloud providers, and even globally across multiple sites. And it can do so without interruption to users or applications, even on live data that is in use.