One of the most widely cited metrics in the IT industry is for availability, expressed in the form of a number of nines: three nines
Category: Data Center
CAPRE’s Data Center Round Up for October 28, 2019
Check out the latest in deals, development and disruptive technology in the data center industry for October 28, 2019: ABB Enables Smarter Data Center Solutions
Big Tech Regulations: an UPSIDE for Cloud customers?
Regulation of Internet giants has focused so far mostly on data privacy, where concerns are relatively well understood by lawmakers and the general public. At
Outage Reporting in Financial Services
In the movie “Mary Poppins,” Mr. Banks sings that a British bank must be run with precision, and that “Tradition, discipline and rules must be
How to Avoid Outages – Part Deux
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
Why do some industries and organizations suffer more serious, high profile outages than others?
In a recent Uptime Institute Intelligence note, we considered a June 2019 report issued by the US General Accounting Office (GAO) on the IT resiliency
How to avoid outages: Try harder!
2019 Uptime Institute has spent years analyzing the roots causes for data center and service outages, surveying thousands of IT professionals throughout the year on
Troubling for operators: Capacity forecasting and maintaining cost competitiveness
In the recently published 2019 Uptime Institute supplier survey, participants told us they are witnessing higher than normal data center spending patterns. This is in
Data Center Free Air Cooling Trends
With the recent expansion of the American Society of Heating, Refrigerating and Air-Conditioning Engineers’ (ASHRAE’s) acceptable data center operating temperature and humidity ranges — taken
The Evolving Data Center Management Maturity Model, A Quick Update
Uptime Institute has long argued that, although it may take many years, the long-term trend is toward a high level of automation in the data