LATEST INTELLIGENCE
KEY CONSIDERATIONS FOR REMOTE MANAGEMENT AND OPERATIONAL EFFICIENCY IN DATA CENTER CABINETS
Key Considerations for Remote Management and Operational Efficiency in Data Center Cabinets
By David Knapp Product Marketing Manager , Chatsworth Products and Ashish Moondra Sr . Product Manager Power , Electronics & Software Chatsworth Products
White Paper
Published : 08 / 17 ; v3-01 / 21
PRESENTED BY
Published : 01 / 2021
chatsworth . com
WWW . INTELLIGENTDATACENTRES . COM / WHITEPAPERS
Key Considerations for Remote Management and Operational Efficiency in Data Center Cabinets
In an interconnected world , where organizations use a mix of enterpriseowned and cloud-based services , managing assets and white space remotely has become increasingly important . That process begins with a focus on the data center cabinet ( rack ) and gaining an understanding of how the subsystems in the cabinet form an ecosystem to support Information and Communications Technology ( ICT ) equipment .
By integrating the data center cabinet with hardware and software into a single platform , data center managers can truly gain visibility and understanding of the different dynamics within the data center to make informed decisions . Furthermore , the integration of IT infrastructure , hardware and software from the same manufacturer eliminates the challenges and confusion that result from pairing different products from different providers .
This white paper defines key considerations for remote management and operational efficiency in data center cabinets and shows how selecting an integrated solution will help simplify white space management .
Manage Power With Intelligence .
Power Distribution , Monitoring & Control
Power management within the white space – particularly inside the cabinet – is critical to ensure availability of all IT applications , as well as to minimize the overall energy footprint of the data center . Additionally , with efficient power management , it ’ s possible to boost operational efficiency by managing and monitoring power at the rack- and device-level . �
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