17 May 2022
Valencia, Spain
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Tuesday, May 17 • 16:24 - 16:29
Lightning Talk: Easy anomaly Detection with PromQL - David de Torres Huerta, Sysdig

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How to create an alert on a service whose load changes over the different hours of a day? How can I alert on a process that has different usage over different days of a week? Anomaly detection is one of the main challenges that Prometheus users face while setting up alerts. Systems are usually dynamic and the use of resources and behavior depends on external factors that vary over time. Setting up alerts with static thresholds in these environments generates a lot of noise, causing alert fatigue in the operators and ignoring important notifications camouflaged among false positives. In this talk, we will see the different kinds of anomaly detection, when to use them and how to implement them in promQL. Although PromQL does not have specific functions for anomaly detection, as it has for linear regression, it does provide the building blocks to create different kinds of anomaly detection. We will also discuss the possibility of creating new PromQL functions that would make it easier to create this kind of anomaly detection alert.

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avatar for David de Torres Huerta

David de Torres Huerta

Manager of Engineering, Sysdig
David is manager of engineering at Sysdig. Previously he worked as CTO in a company specialized in IoT for energy metering and Industry 4.0. He is a computer engineer and collaborates with open source projects, but also likes to study anthropology, play blues and make video games... Read More →

Tuesday May 17, 2022 16:24 - 16:29 CEST
Pavilion 3, Room F | Level 2 | Central Forum + Live Stream