Administrators constantly assess data center and network capacity needs in preparation for a potential disaster but are often at a loss to respond in an optimal way to balance capacity and performance during an actual disaster.

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Much has been written about “big data,” but should we be asking whether our industry is missing the boat?

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I recently participated in a discussion on LinkedIn about the best, most energy-efficient way to control temperature: either the classic sensor in the return of each individual CRAC/CRAH or supply air either by under-floor sensors or sensors in the cold aisles.

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In the early years of data centers, when computing technology was costly and temperamental, protecting hardware with critical power and cooling capabilities was the top priority.

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The problem with mission-critical emergency systems is that failures only occur when the systems are called upon to operate.

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In the Jan/Feb issue of Mission Critical, Zinc Whiskers focused on how the “cloud” operates as an automatically virtualized environment that creates very high power densities in processing areas.

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When the Steel ORCA team started planning, it was our intention of being the “Greenest Data Center on Earth,” and, as a data center/services company, we were in the enviable position of being unrestrained by established corporate policies, legacy designs, or outdated facilities.

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United Parcel Service, Inc. (UPS) built its name on more than a century of efficient distribution.

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The problem with mission-critical emergency systems is that failures only occur when the systems are called upon to operate.

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For the last five years, data center owners and operators across the globe have been very focused on improving the energy efficiency of our data center power and cooling systems and reducing PUE.

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