Performance Monitoring Must Scale to Meet Big Data

Comments: 0 Runtime: 1:42 Posted: April 2nd, 2015

Huge volumes of data are being created that require mining in real-time in order to affect the kinds of changes that businesses today expect to see. Therefore, there is an increasing importance being placed on platforms that are able handle this surge in data.   

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In the kind of complex environments we're talking about, whether that's the enterprise or the service provider, we're spinning up all kinds of resources, moving them around within a data center, between data centers owned by an enterprise, and maybe off to a public cloud provider and then back in again, huge volumes of data are being created.

Rather interestingly, at the same time, we're talking about SDN and NFV, maybe even going back a year or so before that, we're talking big data analytics. Now, initially not all of the focus of that, maybe even the minority, was on any kind of management. It was more on a business focus, business intelligence.

We're seeing, if we look at the TM forum in particular, some growing interest in bringing together some of the proofs of concept they had been working on in terms of the technology ones and the big data ones, knowing that there's just growing volumes of information that need to be mined in either real- or near realtime to effect the kind of changes we're talking about.

Yes, you want to be able to spin up a new VM potentially if the performance of an application is degrading and you want to do it now, not a minute or two from now. So there's a tremendous importance being placed on platforms that can deal with gathering and rapidly analyzing volumes and volumes of information that are increasing dramatically in size.

Written by Jim Metzler
Founder Ashton, Metzler & Associates

Jim Metzler is an expert at researching and analyzing emerging technology trends within the networking and service provider space.