Gallone: When you say mobility drives use of software-as-a-service, implicitly, software-as-a-service will drive those other layers underneath it. So as people use applications, they are implicitly and dynamically driving the need for the resources underneath it, including increased data, increased storage, etc.
The other part of the answer is that with mobility, you need much more storage-as-a-service, for example, in the infrastructure. You need to be able to dynamically allocate storage, save files, and those files need to be secure. When you think about it, smartphone and tablets are the new thin client. And if you think of the device as a thin client, you need dynamic storage; you need a dynamic and secure ability to store and share those files in that content.
IT in Canada: Somewhere besides on the local device.
Gallone: Yes, as opposed to on a local device or on traditional file server type devices. Now it has to be dynamic. The thin client is out there and it’s accessing it through anything. Within minutes you need expanded storage, you need to be able to move files from here to there and I think that more plays to new cloud infrastructure as a service deployment model than it does to traditional back end systems.
IT in Canada: Another trend that is often described as driving the need for cloud is Big Data. Do you believe that Big Data works well with a public service or do you think it will also drive the need for more private clouds? I’m asking this because one of the pieces that isn’t always addressed is the networking issue: it may be harder to move Big Data to public services than other forms of content.
Gallone: I don’t know the rates at which we will see it, but I do see Big Data driving both. The reason I see it driving both scenarios – with the caveat that Big Data does need a lot of bandwidth in certain instances, depending on when you’re loading that data and how things are set up and if it’s across multiple services or single services – with all that taken into account, I still expect to see it driving both. This is because there is a blatant demand for smaller companies to get access to Big Data and analytics capability that they haven’t had in the past. I think that one of the great equalizers of the cloud is that small and medium sized business don’t have to outlay millions and millions of dollars to build big information warehouses on which to run their analytics and pattern matching tools.