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From Legacy to Big Fast Data Cloud Application

“Big FastData Cloud Application” can seem like the winning entry in a buzzword bingo competition

“Big FastData Cloud Application” can seem like the winning entry in a buzzword bingo competition, but it is a good way to capture what’s important about the Private Cloud market segment.

VMware describes the model effectively via a few blogs, and for our Enterprise Cloud Computing series we will also look at these kinds of important vendors, who are pretty much the champion of the internal virtualization market / Private Cloud.

With Paul Maritz leading their Pivotal Initiative to pursue what we described as the Private PaaS segment, it’s clear this is where the principle mind share for Enterprise Cloud is to be fought for and we can expect to see VMware continue a dominant role.

Mainframe modernization

In a nutshell the primary itch these new technologies are scratching is legacy modernization, referring to how old technology systems like mainframes are upgraded for today’s IT. In some cases these go back many tens of years.

However for most large enterprise organizations they still run many of their critical business functions on these platforms, so they are still as important if not more so today.

This is because despite all the new modern technologies a business might buy, the still and will always run the previous business workflow on the previous systems. Launching a new product or service therefore always requires some kind of extension of this environment, hence the rub.

Mainframe modernization can be seen as the practice of better enabling the legacy environment to serve these ongoing business needs, and as VMware describes, there are different ways you can skin that particular cat.

Four strategies for Modernizing Mainframe Applications to the Cloud provides exactly that, and in Big Fast Data Grids they talk about the general way in which large scale PaaS environments might be configured to deal with the needs of a specific scenario like banking applications.

As the title suggests they way they define this context is by talking about how the demands of today is the need for Big Data apps and ones running as elastically scalable Cloud Applications.

Reading these two articles hand in hand gives a good sense of the process and the end result of it, and summarizes most of the challenges enterprise IT will face. From COBOL through Unix the platforms will vary but having some form of old legacy system will be the common theme, and how best to modernize these dusty old software platforms is the real victory Cloud computing brings to the enterprise.

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