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Data Center Time Machine

Jun, 13, 2016 Hi-network.com

Register here for the event with Cisco CEO Chuck Robbins on June 15th.

In many ways, the state of analytics and the data center today can be best equated with the field of astronomy. As a science, astronomy has made great strides over the last several millennia giving us unprecedented knowledge and insights into the universe that are truly awe-inspiring.

However, even with breakthrough innovations such as the Hubble Telescope or the even more ambitious FAST radio telescope, astronomers can still only study tiny slivers of the universe at any given time and only from great distances that boggle the mind. Further, what they're looking at is essentially a view of history -objects not as they are now but as they were at the time when they released the light millions to billions of years ago.

An image from the Hubble Deep Field, which provides a narrow glimpse into of the known universe as it existed billions of years ago. [SOURCE: Wikipedia]

But what if analytics could add in a layer similar to space exploration where we were able to record and learn from events in real-time? And at the exact locations where they were happening? Use the ability to capture events in "the now," complementing what we can glean from historical events?

Imagine these possibilities. What if, through comprehensive and spontaneous visibility, you could:

  • Visibly search across billions of flow telemetry records using a forensics search engine?
  • Continuously monitor application behavior and establish a baseline for normal behavior?
  • Quickly identify any deviation to seek out anomalies, and plan for disasters?

In many ways, it would be like having a Data Center time machine -an ability to explore the past, to better understand the present, and help shape the future.

Please register to join Chuck Robbins, CEO, as he unveils this exciting new technology from Cisco -the next-generation in Data Center innovations. The live-streaming event happens Wednesday, June 15th at 3:30pm ET / 12:30pm PT.


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