The Centurylink Technology Solutions Blog - Trends in IT Infrastructure

Recently in Cloud Computing Category

It's exciting to see the industry begin to rally around a best-practice big data stack - a construct on which to build reference architectures for scalable, secure big data systems.

 

Open dialog on what constitutes "the stack," as recently explored in this CIO.com article, increases the likelihood of developing repeatable processes that result in big data successes - and that's an outcome we should all be striving for.

Every day, we're bombarded with information about cloud computing, and while, it's important, it's often not the whole story.

Clearly, the traditional capital and labor-intensive model of IT infrastructure ownership has become unwieldy - its days are numbered. Over-provisioning to create headroom has become unsustainable - financially and environmentally - and unjustifiable for meeting short-term or temporary workloads.

With the end of the year buzz around predictions, it's hard not to join in the conversation. Our CenturyLink Cloud leadership team came together for a few predictions for the year ahead - and to show we are keepin' it real, we scored last year's predictions as well.

Savvis recently released its annual Global IT Trends report by Vanson Bourne, predicting that IT leaders will make a massive migration from in-house IT environments to colocation, managed hosting and fully outsourced cloud services over the five years.

 

The video below shows why a progression through the spectrum of IT models may make more sense for many organizations than taking a sudden "leap" to cloud. The question is: Where do you sit on this progression?

Big data means a lot of things to different people. One technology service growing increasingly popular is data aggregation. This basically entails collecting large sets of data from many different sources and storing them all in a central location for people to use.

 

Some data-set offerings contain costs associated with collecting and storing large amounts of data. However, there are also many publically available data sets out there for businesses to use.