In the wake of our growing digital economy and a data center industry that’s continually challenged with staying ahead of the customers’ IT roadmaps, different end-users have emerged to distinguish themselves with varying data center requirements. The evolving challenge, however, is how to efficiently build data centers for various types of users. The new white paper from Stream Data Centers explores the differences between enterprise users and cloud providers as two examples of data center users who present contrasting challenges in design and construction requirements.
As demands on data centers, like required increases in compute output and storage size grow, so too does the need to better plan for the unknown. However, adding capacity to meet future compute needs can be expensive, and enterprise workloads are not always predictable. Download the new white paper from Server Technology Inc., which explores how to increase data center density and capacity without increasing risk.
How do you turn the “capacity over efficiency” equation around? David Mettler, vice president of sales and market director for the United States, IO Data Centers, explores how finding the right colocation provider can help you improve efficiency in the data center.
A data center is an interconnected system with thousands or, in some cases, over a million pieces of equipment from hundreds of vendors. With what-if analysis done right, you can quickly derive the insights you need to quickly provision and manage resources for the needs of dynamic IT architectures.
Very rapid technological change means that future demand for data center capacity is anybody’s guess. And that makes life challenging for even the most sophisticated capacity planners. Aligned Energy’s Andrew Schaap explores how cloud service providers and enterprises alike can mitigate the risk of capacity constraints.
Ponemon Institute and Vertiv are pleased to present the results of an original benchmark study to determine average costs to support 1 kW of compute capacity in today’s data centers. The purpose of this study is to analyze the major cost components in supporting compute capacity so that organizations can more effectively identify opportunities to reduce costs and make informed decisions about future capacity. To learn more download this white paper.