John is Uptime Institute’s Senior Research Analyst for Digital Infrastructure Software, covering applications for IT-OT management, monitoring, control, and operational AI. Prior to Uptime, John was a research director at IT analyst firms IDC, GlobalData and Ovum/Informa.
jobrien@uptimeinstitute.com
This report outlines the characteristics of machine learning (ML) applications, describes production use cases for ML-based software in data center M&O, and profiles several vendors offering AI-based functionality in their products.
Data center capacities are expanding rapidly, and organizations are increasingly using hybrid IT to meet rising demand. However, the growing complexity of IT environments is exposing limitations to current approaches.
Cloud-related outages pose a serious financial risk to operators of mission-critical digital infrastructure. And a rising number of high-cost outages suggests that insurers may have a role to play.
In this Webinar, the Uptime Intelligence team looks beyond the obvious trends of 2024 and identifies some of the latest developments and their associated limitations.
Pressure to improve data center efficiency and sustainability is driving interest in artificial intelligence (AI) technologies. Several startups aim to deliver new capabilities in IT power management and cooling optimization.
Uptime Intelligence looks beyond the more obvious trends of 2024 and identifies some challenging issues. Strong IT demand, high-density IT systems and tough sustainability requirements will drive a new wave of investment.
New survey data allows Uptime Institute to look at industry power usage effectiveness (PUE) in finer detail. Comparing PUE by compute capacity shows that, on average, larger sites have lower PUEs.
The propensity to confidently give false information likely disqualifies generative AI from operational decision-making. However, this type of AI, with human supervision, could enhance other aspects of data center management.
Gigantic "gigawatt" data center campuses are being proposed or planned in many locations around the world. They could change the digital infrastructure landscape, but many questions - including how many will be built - remain.
Unpredictable costs and "bill shocks" are a growing problem for organizations running their applications and workloads in the public cloud. FinOps could help enterprises analyze, report and optimize cloud and other IT costs.
