11 Steps to Holistic Data Center Design

Designing a data center can be a daunting and complicated process. There are many considerations and decisions that ultimately impact the cost to build, operate and scale the data center.

Aug 15th, 2013
11 Steps to Holistic Data Center Design
11 Steps to Holistic Data Center Design

By MICHAEL SALVADOR, Technical Solutions Manager for Data Centers, Belden --Designing a data center can be a daunting and complicated process. There are many considerations and decisions that ultimately impact the cost to build, operate and scale the data center.

In the past, IT departments provided an estimate of the equipment and power needs required for their various systems. Many of these estimates were either inaccurate speculations based on current needs with no forethought given to the IT roadmap and business growth, or they were overinflated based on worse-case scenarios. Facilities then used these estimates to either build exactly what was requested or to once again overinflate the design in attempts to protect themselves. This outdated process resulted in large inefficient data centers that were costly to operate and virtually impossible to upgrade.

The rising cost to construct and operate a data center calls for a better approach to data center design. A holistic design approach provides significant benefit to data center managers, facilities, customers and the business as a whole.

A central aspect of successful holistic design involves carefully considering all of the variables with an eye on operational expenditure (OPEX) over the life of the data center, not just on the capital expenditure (CAPEX) to build the data center in the first place. Holistic design must also account for business growth and evolving technology, incorporating systems and innovative technologies that ensure an agile, scalable and highly robust data center that supports both current and future needs.

Successful holistic data center design requires following key steps that essentially take into account all business requirements, technology innovations, and energy and operational savings, while identifying and eliminating any ineffective decisions and operational waste .

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