Intelligent Data Centres Issue 46 | Page 31

INTELLIGENT MONITORING AND AI-DRIVEN ANALYTICS WILL LIKELY REMAIN AN IMPORTANT PART OF THE DATA CENTRE LANDSCAPE .
EDITOR ’ S QUESTION
SERGEI SERDYUK , VP OF PRODUCT MANAGEMENT , NAKIVO
ight now , efficiency is

R the main driving force in the industry . Vendors continue to introduce improvements to keep up with the evolving needs of enterprise infrastructures , while renewable energy targets drive the demand for greener options . There are multiple ways in which data centre technology can become more sustainable , including rather innovative ones such as hydrogen fuel cells . However , since we ’ re looking at a oneyear time span , we ’ ll probably see further refinement of standard technologies that have been in active development but still hold much potential .

One such technology is Edge Computing . While the adoption of Edge deployments is still in the early stage , its benefits are very much in demand . By 2023 , we should expect more examples of decentralised data centre infrastructures , which would open some interesting possibilities for mobile devices . We can even see the rise of Edge data centres designed specifically for handling computational hotspots in crowded venues or addressing connectivity issues in remote areas at a fraction of the cost of legacy solutions .
The same is true for the hybrid cloud . The technology has already reached the stage where organisations of any size can implement a hybrid setup in their environments . With widespread adoption , we can expect a surge of innovative use cases to bring forward all benefits of on-premise and cloud computing . It is worth noting that hybrid infrastructures are inherently complex , which has been holding the technology down for some time . However , several leading vendors already offer advanced tools for streamlining the management and maintenance of hybrid clouds , and more will probably appear in 2023 .
Speaking of management challenges , intelligent monitoring and AI-driven analytics will likely remain an important part of the data centre landscape . Techniques like intelligent troubleshooting are already used for the proactive remediation of issues . In the coming year , smart data collection and analysis will be an expected part of the toolset available to an average data centre customer . We will also see less tool fragmentation , enabling access to all critical information on all assets from a single pane of glass .
It also seems that AI will play a much bigger role in the future of data centre operations . As we ’ ve witnessed , the global pandemic has changed the business landscape irrevocably , with most staff switching to a work-from-home basis .
INTELLIGENT MONITORING AND AI-DRIVEN ANALYTICS WILL LIKELY REMAIN AN IMPORTANT PART OF THE DATA CENTRE LANDSCAPE .
Future data centres will deal with this issue partly or entirely by implementing Robotic Process Automation ( RPA ) and Artificial Intelligence ( AI ) solutions .
At the same time , data presentation methods will continue to evolve , offering more actionable insights for data centre users . Enhancements like the AI-driven decision support functionality would allow for bridging the gap between technology and business . In addition to the strategic advantages for long-term planning , intuitive and relevant data insights would give data centre consumers more control over their operations and maintain security compliance . www . intelligentdatacentres . com
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