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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
Konten disediakan oleh Data on Kubernetes Community. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Data on Kubernetes Community atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

Artwork
iconBagikan
 
Manage episode 345968540 series 2865115
Konten disediakan oleh Data on Kubernetes Community. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Data on Kubernetes Community atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.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 episode

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