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How to Reduce Production Incidents and Outages with Machine Learning

Thursday, February 11th, 2016 12PM EST

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A tutorial for IT Operations teams who want to automate incident management through the application of machine learning technologies.

Monitoring everything only works if you can analyze everything, but today, IT Operations doesn’t and can’t. No human or team of humans can analyze the millions of metrics, alerts and events that are being collected by the hundreds of tools watching production. Worse still, most monitoring tools today do not analyze everything.

Simply put, machine learning algorithms can analyze in milliseconds what takes humans days. This evolution of automation now makes it possible for IT operations to monitor and analyze everything in pretty much real-time.

Attend this webcast to learn:

  • What is machine learning in the world of IT operational analytics (ITOA)
  • Why different approaches are needed depending on your IT environment
  • Where machine learning is being used in the real-world to reduce impact of production incidents
  •  How to prioritize machine learning implementation for your 2016 IT transformation plans

Our Host

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Alan Shimel

Editor-in-Chief

An often-cited personality in the security and technology community and a sought-after speaker at industry and government events, Alan has helped build several successful technology companies by combining a strong business background with a deep knowledge of technology.

Our Panelists
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Steve Burton

VP Product Management

Steve is a leading authority and frequent blogger on all things IT monitoring and analysis. Prior to Moogsoft, he has held marketing and technical sales roles at IT management companies such as AppDynamics, Symantec, and Veritas Software.  Steve started his career as a Java developer working on large-scale J2EE implementations.

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Richard Whitehead

Chief Evangelist

Richard has a distinguished technical career in IT operational analytics, advising enterprise IT organizations and service providers worldwide.  He draws upon his experiences as an early employee of Micromuse Netcool, EMC SMARTs, and now serves in various advisory roles, including a 7-year member of the Splunk Advisory Board.