Thomas Bittman

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Thomas J. Bittman
VP Distinguished Analyst
18 years at Gartner
29 years IT industry

Thomas Bittman is a vice president and distinguished analyst with Gartner Research. Mr. Bittman has led the industry in areas such as private cloud computing and virtualization. Mr. Bittman invented the term "real-time infrastructure," which has been adopted by major vendors and many… Read Full Bio

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Four Myths About Cloud Computing

by Tom Bittman  |  May 8, 2009  |  5 Comments

I’m sure I could come up with more than four, but let’s throw a few out there that I continue to hear from people trying to understand the phenomenon. Don’t misunderstand my intention here – I believe cloud computing will be huge, especially for commodity services, especially for small businesses and start-ups, especially for new and innovative applications that will leverage massive scale and low barrier to entry. But…

Myth: There will be a “big switch”
Fact:
There will be a slow migration (including development of
private cloud services), the migration will take decades, and even then quite a bit of IT will stay in-house; in fact, most of the interesting stuff will be hybrid models, long-term.

not quite ready The electricity analogy really doesn’t fit well. Unlike electricity distribution (using AC instead of on-premises DC), IT is evolving at an extremely rapid rate. The number of enterprises generating their own electricity in 1887 was miniscule compared to the number of enterprises generating their own IT today. Even so, the electricity grid did not take place over virtually overnight – it took more than two decades before centralized utilities produced more than half of the electrical production in the U.S.

In many ways, the invention of AC was like the invention of the Internet. So why hasn’t computing across the Internet replaced enterprise computing yet? In IT, the “distribution” mechanism has been in existence for more than a decade. What’s really changed are technologies that enable economies of scale and sharing. We should not ignore the fact that enterprises can gain some economies of scale themselves, internally, for example, through virtualization – and enterprises aren’t ignoring it. The evolution toward cloud computing is a multi-variable equation, and does not have an inevitable conversion of everything to cloud services.

Myth: Cloud computing is just an evolution of “fill in the blank”
Fact:
Cloud computing did not appear out of nowhere. Some say it is just the next version of outsourcing. Some say the next version of the web. Some say the natural evolution of virtualization. I say it’s all the above. The web created the standards and connectivity needed to make cloud computing possible. But, economies of scale do not occur unless you have technologies at the back-end that enable efficient technology sharing – multitenant applications, virtual machines, parallel programming mechanisms, automation, etc. Sprinkle in a growing demand for speed in the marketplace, and the industrialization of IT (including increased commoditization of hardware and open source), and cloud computing – has been evolving for years. And still has a ways to go.

Myth: Only megaproviders will win
Fact:
There are diminishing returns to economies of scale, there are many fragmented markets that have good enough scale for smaller providers, and innovation makes provider agility a critical offsetter to size. We’re not going to have a handful of megaproviders, we’re going to have thousands of providers, and it will be very Darwinian.

Myth: Cloud computing is about IT commoditization
Fact:
While services offered in the cloud may be commoditizing, the usage of those services may not – new, innovative businesses, proprietary analysis of data in the cloud, etc. – new applications matter. In fact, innovative use of cloud computing services will be be a huge reason why IT does matter, and innovative use of IT will remain a critical business differentiator.

And be careful – cloud computing services are not always cheaper. Providers gotta make a living. Amazon’s recent introduction of Reserved Instances was both to help Amazon plan and manage capacity, and to lower the price to compare better when workloads are not dramatically elastic. There’s a reason that some startups born on Amazon created their own data centers as they got bigger and their businesses became more predictable.

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