"That's a very manual thing to do," MacNab says. "The reason it lasts so long is because you cannot ask humans to do that level of big data analytics in real time."
Instead, Chaganty and MacNab developed a simpler application performance management solution that monitors all traffic of all apps across the company's infrastructure. Monitoring apps, as opposed to the network at large, allows an automated system to look deeper into performance issues.
"If you take what's handed out on management today, in NetFlow or Java information or http, it's too high up," MacNab says. "It stops you from looking down far enough to start being deterministic."
With AppEnsure, the data collected is translated into an easily navigable user interface that updates in real time when apps are beginning to encounter performance issues. A heat map indicates when apps are in danger by automatically moving them into the red area, and when they are performing well by moving them into green. From there, users can access the troubled apps individually.
The Demo panelists warned that AppEnsure was entering a crowded market of APM solutions, but was largely won over by the solution's interface.
In fact, the use of big data could become useful in the BYOD arena as well. Sheila Jordan, a Demo panelist and senior vice president of communication and collaboration IT at Cisco, says enterprise IT may one day use this approach to get directly to the issues caused by consumer devices accessed on enterprise networks.
"It was pretty fascinating, and I think apps are bigger than BYOD," Jordan said. "I think the apps on the devices are what people are thinking about these days."
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