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Saturday, January 25 • 3:00pm - 3:25pm
Data analytics with distributed tracing data

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Modern observability systems can be seen as a platform providing an executive view on the system and an interface where users can ask questions about system behaviour. However these questions are sometimes complex and require data aggregation, feature extraction or running a machine learning algorithm.

Come to this talk to learn about data analytics pipeline based on Jupyterlab, Apache Spark and Kafka integrated with distributed tracing system Jaeger. We will explore how the platform is integrated into Jaeger and what benefits it provides to devops engineers and data scientists. There will be a brief introduction to distributed tracing, Jaeger system and then we will run a live demo with analytics stack deployed on OpenShift and try to answer questions about a monitored application.

avatar for Pavol Loffay

Pavol Loffay

Senior Software Engineer, Red Hat

Saturday January 25, 2020 3:00pm - 3:25pm CET
E105 Faculty of Information Technology Brno University of Technology, Božetěchova, Brno-Královo Pole, Czechia