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