University of Minnesota
Software Engineering Center

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Parsing Chaos โ€“ Effective Data Visualization at web scale

Date of Presentation: 
Thursday, January 12, 2017
Presented By: 
With any large-scale web platform, collecting data around various Key-Performance Indicators to get a glimpse of the health of your applications is generally the easiest step towards achieving your monitoring goals. Determining the best method to aggregate and visualize this data in a way that supports your mission and goals is often significantly more challenging. In this session, Patrick shares the methods and best practices leveraged by the Site Reliability Engineering team for visualizing over 2 Million data points per minute, and how that data is used to support the SREs and their incredibly fast resolution times.
CodeFreeze 2017