Author Archive for: rascierto
Entries by Rhonda Ascierto
Pay-as-you-go model spreads to critical components
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, “as a service” basis. “-aaS” goes mainstream The trend toward everything “as a service” (XaaS) is now mainstream in IT, ranging from cloud (infrastructure-aaS) and software-aaS (SaaS) to newer offerings, […]
Capital inflow boosts the data center market
Data centers are no longer a niche or exotic investment among mainstream institutional buyers, which are swarming to the sector. There is now a buyer for almost every type of data center — including traditional-infrastructure investors and sovereign wealth funds. How might this new mix of capital sources change the broader data center sector? Traditional […]
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 the same time, the threat of antitrust action is growing. Congressional hearings in the US with Amazon, Apple, Facebook and Google have begun, and governments in Europe, India and elsewhere […]
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 center, covering many functions that most managers currently would not trust to machines or outside programmers. Recent advances in artificial intelligence (AI) have made this seem more likely. (For more […]
DCIM as a Hub: Integrations Make all the difference
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 and flexible, so too must data center resources, in order to achieve maximum agility and efficiency. To virtualize only IT […]
Data center AI: Start with the end in mind
An artificial intelligence (AI) strategy for data center management and operation requires more than just data and some very smart humans. Selecting specific use cases and understanding the types of data that influence AI outcomes — and then validating those outcomes — will be key if the needs of the business are to be met. […]
Artificial Intelligence in the Data Center: Myth versus Reality
It is still very early days, but it is clear that artificial intelligence (AI) is set to transform the way data centers are designed, managed and operated — eventually. There has been a lot of misrepresentation and hype around AI, and it’s not always clear how it will be applied, and when. The Uptime Institute […]
For most, virtualization reduces data center capacity demand more than anything else
The public cloud is dampening demand for data center capacity and leading to closures, consolidation and a big rethink on data center ownership. Right? Not quite, according to the latest Uptime Intelligence research. In enterprise and colocation data centers, we found that virtualization helps free up data center capacity more than any other technology or […]
Data Center AI (Artificial Intelligence) Creates New Risks
Artificial intelligence (AI) is being used in data centers to drive up efficiencies and drive down risks and costs. But it also creates new types of risks. This is one of the findings from a recent Uptime Intelligence research report #25, “Very smart data centers: How artificial intelligence will power operational decisions”, published in April […]