This report examines multiple applications of AI and automation within data center infrastructure management (DCIM) software. Greater automation can result in improved efficiency and free up staff to focus on more complex tasks.
This report examines multiple applications of AI and automation within data center infrastructure management (DCIM) software. Greater automation can result in improved efficiency and free up staff to focus on more complex tasks.
Operators often say that data center infrastructure management (DCIM) software is a necessary evil. Modern facilities need centralized, real-time management and analytics, but DCIM is notoriously difficult to deploy. The software is also not easy to…
In her book "Surveillance Capitalism," Harvard scholar Shoshana Zuboff describes how some software and service providers have been collecting vast amounts of data, with the goal of tracking, anticipating, shaping and even controlling the behavior of…
The best-run data centers are those where managers have access to meaningful information about their facility's assets and operational status. This report details the questions they need to ask when purchasing DCIM software.
Uptime Institute has long argued that, although it may take many years, the long-term trend is toward a high level of automation in data centers, covering many functions that most managers currently would not trust to machines or outside programmers…
Today, the role that the physical data center plays in software-defined data centers, particularly facility design and operational management, is often overlooked. However, this is likely to change.As more networking and compute becomes virtualized…
Data center infrastructure management software is widely considered essential for running modern, flexible and efficient data centers - but it is also notoriously difficult to select and deploy. This report, the first in a two-part series, provides…