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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

How To Get Started With Fast Data Platform

If you'd like to see a demo or to get started with our Fast Data Platform, simply contact us via this form, and we'll be in touch soon.



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