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Running Fast Data Applications - Intelligent Monitoring And Troubleshooting (18 Min Interview)

Monitoring In The World Of Streams

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In this Fast Data Platform interview for Operations teams, I sit down with Alan Ngai, VP of Architecture at Lightbend, to discuss the implications of monitoring and troubleshooting distributed, streaming Fast Data applications. This conversation focuses on:

  • Why can’t existing application monitoring tools designed for monoliths easily trace and gather metrics from distributed Fast Data applications?
  • What are the main challenges and considerations for monitoring Fast Data applications?   
  • How Lightbend Fast Data Platform intelligently provides deep telemetry, automated topology discover, configuration, and visualization, right out of the box for Spark, Kafka, Akka, Mesosphere DC/OS and more.

Putting Names To Faces

If you'd prefer to put our names to some faces, you can also check out the video recording of the conversation!

Watch on YouTube

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The Total Economic Impact™
Of Lightbend Akka

  • 139% ROI
  • 50% to 75% faster time-to-market
  • 20x increase in developer throughput
  • <6 months Akka pays for itself