Uptime Institute's 2024 Data Center Maintenance Survey benchmarked maintenance practices among data center operators to help organizations improve performance when it comes to maintenance practices
Uptime Institute's 2024 Data Center Maintenance Survey benchmarked maintenance practices among data center operators to help organizations improve performance when it comes to maintenance practices
Although there is still uncertainty around the rate of AI adoption, many organizations are pushing ahead to avoid being left behind. However, behind this enthusiasm, there are six issues that operators face when hosting AI.
Many data centers struggle to achieve maximum capacity and optimal cooling, resulting in troublesome hot spots. Advances in cooling optimization software have addressed this complexity and could be the answer.
The 14th edition of the Uptime Institute Global Data Center Survey highlights the experiences and strategies of data center owners and operators in the areas of resiliency, sustainability, efficiency, staffing, cloud and AI. The attached data files ...
Uptime Institute's 2024 Data Center Maintenance Survey benchmarks maintenance practices among data center operators and sets to help organizations improve performance when it comes to maintenance utilizing in-house employees, third-parties, and/or eq...
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.
Operators often resist giving third parties access to OT data to limit vulnerabilities. Nevertheless, some colocation customers require this access — as will emerging AI tools — but the OT air-gap should not be bridged lightly.
While EOPs are intended to help staff address events that can lead to downtime, many are difficult to follow in an emergency. Applying cognitive psychology concepts during their creation can improve comprehension and reduce human error.
Data center managers are squeezed between complexity arising from digital innovation and the need for secure and reliable service delivery. Is it possible to minimize risk while enabling business innovation?
Uptime Institute's 2nd edition of the Data Center Security Survey explores important data center cybersecurity issues, as well as the information technology (IT) and operational technology (OT) used to run data centers.The attached data files below p...
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 operators face expanding information and key performance indicator reporting requirements. Standard accounting practices and data exchange processes will help enable the efficient exchange of information.
Preliminary calculations by Uptime Intelligence suggest the initial impact of generative AI on global data center power use is low — but it will rise quickly as adoption increases. How far generative AI will go remains unclear.
This update examines the differences between machine learning and traditional software development and outlines the terms and definitions that may help digital infrastructure operators to understand the role and impact of AI.
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.