Data center infrastructure management software is widely considered essential for running modern, flexible and efficient data centers β but it is also notoriously difficult to select and deploy.
The increasing adoption of AI signals the beginning of a major shift in how data centers will be managed and operated. This Uptime Institute Intelligence report overviews data center AI technology and its requirements, use cases, risks and costs.
The adoption of virtualization and software containers, and the use of public cloud have been in full swing for some time. What effect is this having on data center capacity and density? How should operators build this into their demand forecastingβ¦
Uptime Institute Research looks at smart energy, including its potential for changing mission-critical IT as well as many of the enabling technologies.
Most data center operators have failed to carry out an up-to-date risk assessment to prepare for hitherto unlikely events and gradual changes caused by climate change. As a result, their facilities and businesses may be vulnerable as the threatβ¦
A major retailer applied FORCSS to evaluate three IT infrastructure options, with the end result that it moved from a traditional platform to a cloud-based SaaS delivery system.
Making sense of the seemingly contradictory data from the 2018 Annual Data Center Survey
While only 18% of Uptime Institute Data Center survey respondents rely solely on a water-based system, Uptime Institute believes that a nitrogen-charged, dry-pipe or preaction, water-based solution is the most appropriate fire suppression system inβ¦
A new book, Meltdown by Chris Clearfield and AndrΓ‘s Tilcsik, provides an explanation for the source of systems errors.
New Uptime Institute research data shows that downtime is common and may even be increasing, in spite of many advances. Complexity and extensive use of third parties has made life more difficult for management.