NEWS

Top five advancements for DCIM to watch out for in 2022

Feb 09, 2022

"Systems like DCIM should be able to bridge between multiple data centre facilities and IT pieces."


  • Data Transparency aimed to promote Net Zero will gradually gain greater interest and broader application in practice.
    Data Centres pioneering in this direction will seek compliance with data collection and efficiency-related standards (such as ISO/IEC 30134 and EN 50600-4). Infrastructure and operations (I&O) leaders willing to take greater responsibility and contribute data transparency will start looking for tools to help them gather the data internally and share some of it publicly.
     
  • To promote Net Zero objectives software developers will start gaining interest in the sustainability impact of their solutions.
    Traditional DCIM and advanced UIIM (Universal Intelligent Infrastructure Management) solutions will be required to gather and process the data regarding power utilisation, IT assets inventory, and IT hardware-software interdependencies, to be able to expose the power and CO2 data to software services through intermediaries (like operating systems, virtualisation, and containers). This will enable software optimisation aimed at energy utilisation efficiency and pollution reduction.
     
  • I&O leaders will dedicate increased attention to exploring tools for automation to improve operational efficiency as well as quality and availability of their infrastructure services. For this purpose, universal integrations combined with automated workflows will gain traction and greater coverage. Among such automation tools, some will offer workflows focused on helping data centres follow efficiency guidelines (such as EU Energy Efficiency Directive).

 

  • In light of insatiable demand for data, we can see rapid growth of existing and new data centres – from enterprise and colocation data centres to edge and dark sites. The complexities of these entangled environments can no more be managed manually. Technological tools to bridge between the facility and IT, and effectively manage interdependencies between the two are needed. For example, any data centre should be able to assess the impact of potential failure of any of their power or cooling assets on IT hardware and eventually software services availability.

    Systems like DCIM should be able to bridge between multiple data centre facilities and IT pieces, to enable automated operational management capabilities, cross-domain impact analysis as well as efficient prescriptive planning.
     
  • Data centre topologies increasingly become more complex, distributed and hybrid. With the evolution of virtualisation and container-based software architecture, data centre managers encounter a wealth of choices and flexibility for growth strategies. New infrastructure can be added on-premises, in remote dark and edge sites, as well as in a diversity of private and public clouds. Growth considerations become sophisticated and include time to market, level of service and ROI. Such planning requires innovative technologies around intelligent simulations for planning data centres' expansion, migration, and new sites establishment. Intelligent simulations should provide predictive insights on multiple What-If scenarios, helping to pick the most suitable ones.


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