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Machine Data as Code (MDaC) is a new approach that has emerged to address limitations and increasing volumes of unstructured logs. These logs are a drop in the bucket of machine data, as they only scratch the surface of what’s possible to collect from a live application. This calls for a new way of both capturing and processing runtime application data.

In this webinar, we will discuss the new approach of treating Machine Data as Code and show how to:

  • Capture new machine data that was once left on the data center floor
  • Automate creation of meta-machine-data such as failure rates and deployments
  • Deliver mission critical insight informed by previously inaccessible data

Alex is the Director of Developer Relations at OverOps, conducting research and producing Java content for over 200,000 monthly readers. Fun fact: When not writing his next blog post, you can find Alex waiting in line for a good spot in the nearest metal concert.

By OverOps, Inc. 2018     |     Contact us: hello@overops.com     |     +1 415-767-1250

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 Machine Data as Code 

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About the host

 Machine Data as Code 

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Director, Developer Relations

Alex Zhitnitsky

Alex is the Director of Developer Relations at OverOps, conducting research and producing Java content for over 200,000 monthly readers. Fun fact: When not writing his next blog post, you can find Alex waiting in line for a good spot in the nearest metal concert.

Director, Developer Relations

Alex Zhitnitsky

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