Tag Archives: Data Storage

Building Blocks: Predictable and Simple Storage for Virtual Environments

Today, virtualization is commonplace in the enterprise data center and its benefits are indisputable. However, several challenges must be addressed to ensure the success of any virtualization initiative.

To accommodate rapid growth and fluctuations in demand, the infrastructure needs to easily support the scaling of individual VMs, as well as the addition of new virtualized workloads. Although network scaling is becoming simplified with software-defined network architectures, scalability continues to be one of the top challenges when increasing the level of virtualization in the modern data center.

Read the source article at Data Center Knowledge

The Hybrid Approach: Rewriting the Rules for Backup Storage

There are more users accessing complex applications with a variety of new data points. These users must be enabled by their organizations to leverage critical resources from any device and any time.

So how does a business keep up? How can an organization maintain control over an ever-evolving data management process?

Read the source article at Data Center Knowledge

Tintri: Smart Storage that Sees, Learns and Adapts

Our clients often come to realize that the performance demands of their virtualized databases, applications, and VDI are not being met by their current IT infrastructure technology. In our experience, we find the culprit to be the storage technology itself.
Introducing the Tintri VMstore Storage Systems,a near “zero” management NFS storage solution built specifically to manage virtual environments for servers, desktops, test development, and production workloads.

Read the source article at Data Center Design

Bringing Hyper Scale-Out to the Masses: The Power of Open Optimized Storage

Mario Blandini is the senior director of product marketing, storage systems, at HGST, a Western Digital Company.

Data growth estimates by percentage may differ from one prognosticator to the next, but everyone agrees that more data will be stored in 2014 than was stored in 2013. So how will infrastructure scale to meet the insatiable consumption of unstructured data in the coming years? In short: optimization.

Read the source article at Data Center Knowledge