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Saturday, February 20 • 2:30pm - 2:55pm
Processing OpenShift 4 health data at scale

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Using large amounts of continuously incoming data to make better decisions is a tricky task. The challenges start with ingesting data streams coming with thousands of clusters into a single place and end with a properly scalable tool to display the information extracted from the data. But there are also many components in between that ensure proper stability and scalability of the data processing pipeline. As a cherry on top, this all needs to be orchestrated so that the data is processed timely and no data is lost in the process. In this presentation, we will analyze the anatomy of OpenShift-based infrastructure for large-scale data processing that backs Red Hat Insights, a program to process, analyze and present customer analytics data.

avatar for Pavel Tisnovsky

Pavel Tisnovsky

Quality Engineer, Red Hat
Pavel is famous for his in-depth articles he writes on various technical topics for the Czech Linux magazine root.cz. He'd taught computer graphics at Brno Technical University and worked as a C, C++, and Java developer in various companies before he joined Red Hat where he was a... Read More →

Saturday February 20, 2021 2:30pm - 2:55pm CET
Session Room 5