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Formula 1 telemetry processing using Apache Kafka on Kubernetes // Paolo Patierno (DoK Day North America 2022)

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Manage episode 345968540 series 2865115
Content provided by Data on Kubernetes Community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data on Kubernetes Community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)

Video - https://youtu.be/4cPVRWOK-_E

ABSTRACT

Apache Kafka is the de facto data streaming platform used for ingesting vast amounts of data and processing them in real-time. Low latency analytics are vital if users are to react to events as fast as possible and to effectively shape future decision making. Together with Kubernetes, it allows to develop cloud oriented analytics solutions which are highly scalable.
During this session, we will explore an Apache Kafka based solution running on Kubernetes to help a Formula 1 team gain insights during a race. The “real” data will come from a well-known racing game and will be processed by our application in real-time, making us feel like real track-side F1 engineers!

  continue reading

243 episodes

Artwork
iconShare
 
Manage episode 345968540 series 2865115
Content provided by Data on Kubernetes Community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data on Kubernetes Community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)

Video - https://youtu.be/4cPVRWOK-_E

ABSTRACT

Apache Kafka is the de facto data streaming platform used for ingesting vast amounts of data and processing them in real-time. Low latency analytics are vital if users are to react to events as fast as possible and to effectively shape future decision making. Together with Kubernetes, it allows to develop cloud oriented analytics solutions which are highly scalable.
During this session, we will explore an Apache Kafka based solution running on Kubernetes to help a Formula 1 team gain insights during a race. The “real” data will come from a well-known racing game and will be processed by our application in real-time, making us feel like real track-side F1 engineers!

  continue reading

243 episodes

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