On March 12, 2020, Uptime Institute held its second roundtable about the impact of the COVID-19 virus on data center operations and potential responses to its spread. A Note covering the topics discussed in the first roundtable is available here.
As enterprises continue to move from a focus on capital expenditures to operating expenditures, more data center components will also be consumed on a pay-as-you-go, βas a serviceβ basis.
The full report Ten data center industry trends in 2020 is available to Uptime Intelligence subscribers here.
Separating production and nonproduction assets should be an operational requirement for most organizations. By definition, production assets support high-priority IT loads β servers that are critical to a business or business unit. In mostβ¦
A previous Uptime Intelligence Note suggested that avoiding data center outages might be as simple as trying harder. The Note suggested that management failures are the main reason that enterprises continue to experience downtime incidents, even inβ¦
Maintaining and training staff on comprehensive, up-to-date procedures is a proven best way of reducing the likelihood of an outage and is key to restoring operations quickly afterward.
According to many IT professionals, a very high percentage of data center failures are caused by human error. Some report numbers as high as 75%, but Uptime Institute generally reports about 70%. That assumption immediately raises an importantβ¦
With the recent expansion of the American Society of Heating, Refrigerating and Air-Conditioning Engineersβ (ASHRAEβs) acceptable data center operating temperature and humidity ranges β taken as an industry-standard best practice by many operatorsβ¦
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.
We recently discussed where enterprises are putting their workloads. In line with almost everyoneβs research, Uptime has found a very strong move of workloads to the public cloud, much of which then ends up in running, wholly or in part, inβ¦
One of the more intriguing results of the Uptime Institute Global Data Center Survey 2019 concerned energy efficiency. For years, data centers have become ever more efficient, with power usage effectiveness (PUE) ratings across the industry (β¦
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.
Uptime Institute Research looks at smart energy, including its potential for changing mission-critical IT as well as many of the enabling technologies.