Jay Heiser

A member of the Gartner Blog Network

Jay Heiser
Research VP
6 years at Gartner
24 years IT industry

Jay Heiser is a research vice president specializing in the areas of IT risk management and compliance, security policy and organization, forensics, and investigation. Current research areas include cloud and SaaS computing risk and control, technologies and processes for the secure sharing of data… Read Full Bio

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You have 2 weeks to pickup your cloud

by Jay Heiser  |  September 18, 2013  |  1 Comment

You’ve got 2 weeks to get several Petabytes of data from a dissipating cloud. Will you get it all back safely? Hundreds of Nirvanix customers are asking themselves that question right now.

Although their web site remains blissfully mum about this unfortunate development, The Wall Street Journal is only one of several media organizations reporting that Storage as a Service provider Nirvanix has run out of money, and will cease service in 2 weeks.

Given that many of their customers are large media companies, I have to assume that they have an awful lot of data stored their.  2 years ago, a Nirvanix press release bragged that USC would be moving 8 Petabytes of data to the Nirvanix Deep Cloud Archive(tm). 

What kind of a data storm do you get when a thousand customers all simultaneously start trying to copy out petabytes of data?  How much technical support can a company offer when they are going bankrupt? Can you reasonably expect that their staff will be motivated to stay on, and undertake any necessary heroic efforts that might be needed to help you recover your data? Where are you going to put that data?

I continue to get a lot of questions from Gartner clients about cloud security. While there are issues associated with the confidentiality of your data in the cloud, for the majority cloud customers, the potential loss of confidentiality is just not the biggest form of cloud risk.   Cloud Computing turns your software into a just-in-time supply chain maintenance issue.  If a vendor goes bankrupt, or suffers a catastrophic failure, your data disappears immediately, and there may not be anybody around to help you find it.

What’s your contingency plan?

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