#Dynatrace Davis® AI automatically analyzes and alerts abnormal situations within your dynamic IT infrastructure and attempts to identify any relevant impact and root cause. But every business works differently and you might want to use the power of Davis to configure anomaly detection on your domain use cases, which cannot handle in the global settings. For example use cases:
To detect anomalies within your custom data streams
You need to modify the time-series data that you want to observe.
To avoid your SRE team from noise and false alarms
Have dynamic time-series data that can't be handled effectively with a static threshold
You need to customize monitoring for a specific area of your IT infrastructure
Watch this observability clinic where Daniel Bruendl, Product Manager at Dynatrace, explains:
How Anomaly Detection works in Dynatrace
Different monitoring strategies: static, dynamic, seasonal
How to use the new Metric Events to setup detection based on your business needs
New to Dynatrace? Get your own Trial:
https://bit.ly/dtsaastrial Chapter List:
00:00 – Introduction
01:13 – What will you learn today
04:50 – How does Anomaly Detection work
07:48 – Static Thresholds
09:20 – Auto-Adaptive Thresholds
14:04 – Seasonal Baseline
17:30 – Live Demo on Metric Events
