Episode

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

Podcast
Data on Kubernetes Community
Published
Nov 2, 2022
Duration seconds
936
Processing state
failed
Canonical source
https://podcasters.spotify.com/pod/show/dokcommunity/episodes/Formula-1-telemetry-processing-using-Apache-Kafka-on-Kubernetes--Paolo-Patierno-DoK-Day-North-America-2022-e1q4uc9
Audio
https://anchor.fm/s/2d649bc8/podcast/play/59979593/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2022-10-2%2F294604800-44100-2-7bf9bf3f5ab9f.m4a
JSON
/v1/public/podcasts/data-on-kubernetes-community/episodes/formula-1-telemetry-processing-using-apache-kafka-on-kubernetes-paolo-patierno-dok-day-north-america-2022
Markdown
/podcast/data-on-kubernetes-community/formula-1-telemetry-processing-using-apache-kafka-on-kubernetes-paolo-patierno-dok-day-north-america-2022.md

Actions

  • POST https://stenobird.com/v1/public/podcasts/data-on-kubernetes-community/episodes/formula-1-telemetry-processing-using-apache-kafka-on-kubernetes-paolo-patierno-dok-day-north-america-2022/transcription-requests
    Idempotently request low-priority transcript generation for this episode.
  • GET https://stenobird.com/podcast/data-on-kubernetes-community/formula-1-telemetry-processing-using-apache-kafka-on-kubernetes-paolo-patierno-dok-day-north-america-2022.md
    Read the agent-friendly Markdown representation of this episode resource.

Summary

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!