Emerson: CIOs Need Data Center Crystal Ball

Emerson Network Power logoFor data center management to advance in maturity, data center managers need a single window into the use and performance of all their center’s systems, according to a “CIO playbook” released by Emerson Network Power.

The playbook argues that such a window would be like the data center equivalent of a crystal ball for data center managers to manage capacity proactively based on real-time visibility into IT and facilities infrastructures; to identify and rectify data center issues before they affect operations; and to increase asset utilization and productivity.

Emerson Network Power advocates a three-tiered approach in its report titled “Cultivating a Crystal Ball for Data Center Performance and Availability.”

The first step is local monitoring. The foundation for the data center crystal ball is the ability to remotely monitor and access systems across the data center to gain visibility into equipment operating status and receive real-time alerts and alarms, the report says.

Secondly, CIO’s must embrace data aggregation, the report says. Aggregating data across the facility creates the ability to identify dependencies and optimize systems. Aggregated data also can be used to address key planning questions, the report says.

The final tier is the use of enterprise intelligence. At the enterprise level, data is transformed into intelligence that can be accessed by IT and Facilities personnel, enabling greater collaboration and more effective management, the report says.

According to a report release by Emerson Network Power in April heat density is once again becoming a top-of-mind issue for data center managers.

The spring installment of the biannual survey, sponsored by Emerson Network Power, polled members of the Data Center Users’ Group, an association of influential data center, IT and facility managers, and captured input from more than 100 respondents across North America. The questions covered a variety of data center topics including data center monitoring and management, capacity constraints, third-party colocation providers, energy efficiency and heat and power density.

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