Introduction to Anomaly Detection based on DQL

#Dynatrace Davis AI has been solving the challenge of anomaly detection on high cardinal data for many years and with that, reduces alert noise and avoids alert fatigue. As announced at #Perform2024, Dynatrace brings the Davis AI Analyzer into Notebooks, Dashboards, and Workflows to leverage anomaly detection on ANY data that can be queried through DQL (Dynatrace Query Language). To get a preview of the new extended capabilities, we have David Bruendl, Product Manager at Dynatrace, walking us through a full end-2-end scenario of leveraging the Davis AI Analyzer and configuring custom anomaly detection events.We will follow up with more use case-specific sessions in the coming weeks, but please make yourself familiar with the core capabilities. Additional Links Discussed: Dynatrace Anomaly detection doc: https://dynatr.ac/49MwaXz Dynatrace SaaS Trial: https://bit.ly/dtsaastrial Dynatrace Playground: https://dt-url.net/discover Chapter List: 00:00 - Introduction 02:23 - What you'll learn today 03:27 - The Scale of Cloud Observability 03:56 - The Challenge of anomaly detection in high cardinal data 05:50 - Reduce alert noise and avoid alert fatigue 09:49 - Davis AI supports you in every context 10:30 - Live Demo Subscribe to our channel → https://dynatr.ac/subscribeYT Stay up-to-date with Dynatrace! Follow us on: Facebook → https://facebook.com/dynatrace Instagram → https://instagram.com/dynatrace LinkedIn → https://linkedin.com/company/dynatrace Threads → https://www.threads.net/@dynatrace Twitter / X → https://twitter.com/dynatrace Twitch → https://twitch.tv/dynatrace Have a question about our platform? Visit our Dynatrace Community to connect with our experts and users → https://dynatr.ac/3FYfPB3