New products designed from the ground up to specifically serve storage for virtual servers can offer dramatic savings in terms of dollars and the time spent managing storage.
Using Hadoop to drive big data analytics doesn’t necessarily mean building clusters of distributed storage—good old external storage might be a better choice.
When deciding whether to implement an object storage platform into your environment, it makes sense to first outline what kind of data you’re storing and how it’s typically used.
- Premiered: 02/04/14
- Author: Arun Taneja
- Published: Tech Target: Search Cloud Storage
Whether clay pots, wooden barrels or storage arrays, vendors have always touted how much their wares can reliably store. And invariably, the bigger the vessel, the more impressive and costly it is, both to acquire and manage. The preoccupation with size as a measure of success implies that we should judge and compare offerings on sheer volume. But today, the relationship between physical storage media capacity and the effective value of the data “services” it delivers has become much more virtual and cloudy.
We’ve been on a multi-decade crusade to address performance and basic storage management tasks to handle things such as protecting data in place, and scaling and expanding our data storage systems to meet new requirements. But today, when performance and scaling and expansion issues are addressed, it will be revealed that the last major challenge in the data center is storage management.
- Premiered: 12/17/13
- Author: Jeff Boles
- Published: Tech Target: Search Storage
With its acquisition of Virsto, VMware certainly understands storage as usual doesn’t cut it when it comes to dense, high-powered virtual environments. This technology addresses the so-called “I/O blender” effect that comes from mixing the I/O from many VMs into one stream on its way to external shared storage.