John O'Brien

John O'Brien

John is Uptime Institute’s Senior Research Analyst for Cloud and Software Automation. As a technology industry analyst for over two decades, John has been analyzing the impact of cloud migration, modernization and optimization for the past decade. John covers hybrid and multi-cloud infrastructure, sustainability, and emerging AIOps, DataOps and FinOps practices.

Latest Research

DCIM past and present: what’s changed?

Data center infrastructure management (DCIM) software is evolving and improving. This report discusses where DCIM has made most progress, and why it is now considered a viable and worthwhile investment.

 
The impact of AI on data center operations (Part I)

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.

Keynote Reports 24 min read
 
Capacity expands rapidly, but complexity is challenging

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.

Data Reports 8 min read
 
Cloud outage insurance: assessing policy options

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.

Keynote Reports 20 min read
 
REPLAY | Webinar: Five Data Center Predictions for 2024

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.

 
AI startups innovate in cooling and IT ops

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.

Five data center predictions for 2024

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.

Keynote Reports 25 min read
 
Large data centers are mostly more efficient, analysis confirms

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.

What role might generative AI play in the data center?

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.

 
"Hyperscale colocation": the emergence of gigawatt campuses

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.

 
FinOps gives hope to those struggling with cloud costs

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.