Last week, Mike Laverick came to the Silicon Valley to present at the VM UserGroup show. During his stay, he decided to take a peek at some of the interesting start-ups around the valley and put his findings into a series of videos for his Vendorwag in the Valley segment. First stop, nlyte Software. 

Take a look below at his video blogs. In the first video, Craig Ledo, Senior Director of Product Marketing lays the framework of who nlyte Software is as a company, then, in the second video, Craig goes into high-level detail about the nlyte DCIM suite.  The last video of the day includes Claudia Hanson walking you though a demo of the nlyte Suite getting deep in to the technical details.

Happy Watching!

The Elevator Pitch…

The Product Lowdown…

The Techknowledge Demo…

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By Rob Neave

Why European Data Centers Need a Code of Conduct
According to the International Data Corporation (IDC), Western European data center electricity consumption will rise to 104 TeraWatt Hours (TWh) per year by 2020, nearly double the level consumed in 2007, when the figure was approximately 56 TWh1. Such growth has been necessary to support widespread adoption of online services, but it clearly flies in the face of EU targets to reduce carbon emissions. Therefore, it is no surprise that formal initiatives have been introduced to curtail the industry’s demand for power.

While much of this growth in power consumption has been necessary to support increasing Internet use, inefficiencies within data centers have unnecessarily inflated this demand. This stems from the fact that many facilities rely on outdated design practices where only a fraction of the grid power consumed actually reaches the information technology (ITS) systems. Compounding this, many of these IT systems run at low utilization rates and include purpose-designed duplication and redundancy to ensure high availability with some in-house data centers utilizing just 5 to 10 percent of their computing capacity2. Although high levels of redundancy may guarantee performance, cut risk and underpin reliability, they also bring additional power and cooling costs.

Furthermore, in Europe, where demand often outstrips supply and organizations are particularly mindful of having enough capacity to support future business growth, data centers have traditionally been designed with large tolerances. These allow for operational or capacity changes, as well as future expansion. Such tolerances, along with the associated design flaws, exacerbate power consumption inefficiencies.

In the past, overprovisioning has seldom caused concerns for organizations. This is the result of energy costs being relatively small in comparison to the IT budget and because environmental responsibility has not fallen under the remit of the IT department. However, in the last few years, increasing emphasis on corporate social responsibility means that there is a real desire to “green” the data center. Rising energy costs also mean that it is now financially imperative to make operations as efficient as possible. According to IDC, approximately 40 percent of today’s data center costs are powerrelated; however, by 2015, this figure will exceed 50 percent3.

Reprinted with permission from BICSI News Magazine September/October 2011.  To view the article in its entirety, please visit:

CITO Research

Energy savings is just one of the benefits of better data center management — but it is the hot topic that can trigger C-level executives’ interest in data center operations. Learn about the broad business implications of data center infrastructure management in this paper by CITO Research. Read more.




The challenge of proper cooling management

On June 28, 2011, in Feature Story, by kamran.fouladi

Lawrence Berkeley National Laboratory has estimated that approximately 50 percent of the power spent to run a data center is spent on cooling the equipment. Additionally, cooling problems have been touted a major contributing factor to IT capacity limitations, resulting in proposals for major renovations of legacy data centers or even building new data centers. Since data centers undergo frequent changes, it is safe to assume that many of these data centers do not have a clear understanding of how efficient and effective their cooling system is or whether the design of their cooling system is still suitable. Ill-conceived operational and infrastructure changes can lead to hot spots and suboptimal equipment layout while proper cooling would result in reduction of wasted energy and ensure higher reliability and availability. The Environmental Protection Agency estimates up to 30 percent improvement in the energy efficiency of data centers with proper cooling management. This will also extend the life of IT equipment and eliminate premature replacement of critical racks and servers. Understanding and measuring the efficiency of the data center cooling system in any snapshot of time — present or future — is vital for proper operation and modification of the data center.


Lawrence Berkeley National Laboratory, Best Practices for Data Centers – Lessons Learned from Benchmarking 22 Data Centers, 2006.

Excerpt from The DCIM Advisory feature article by Kamran Fouladi and Soheil “Sam” Negahbani, Energex Technologies.  Check back later for more on this feature.

Whether you plan to build a new data center or optimize your current one it is necessary to measure, monitor and manage your efficiencies in power, cooling and space. In a recent CBR article, Rack ‘em up: New data centre dynamics, Steve Evans writes, “Gartner reckons that energy-related costs account for approximately 12% of overall data centre expenditure and are the fastest-rising expense.” He continues to describe the other pressures data centers are facing:

  • The increasing amount of data needing to be stored leading to rising data center energy costs
  • The waste of money through non-efficient power distribution along with increasing pressures to reduce PUE ratings and carbon emissions
  • The need to track the current state of the data center and predict future moves, adds and changes with advanced analytics
  • The necessity to reduce the risk of downtime in the case of a data center migration

Evans pulls real life examples from organizations that have overcome these obstacles. Click here to read how they survived these challenges.


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