Anomaly detection
- Latest Dynatrace
- Overview
- 2-min read
Dynatrace continuously monitors the performance of every aspect of your applications, services, and infrastructure to automatically learn all baseline metrics and the overall health of each component in your environment, including the response times of your applications and services. Variables such as geolocation, browser type, operating system, connection bandwidth, and user actions are factored in automatically. This intelligent automated baselining allows Dynatrace to detect anomalies at a highly granular level and to notify you of detected problems in real time. You can customize the thresholds generated through automated baselining either by adapting the sensitivity of problem detection or, if necessary, by defining your own static thresholds.
Use cases
- Create a custom alert to get notified about problems in your environment.
- Configure manually or use an auto-adaptive threshold to detect abnormal behavior.
- Set up alerts for custom events.
Concepts
Auto-adaptive thresholds for anomaly detection
How Dynatrace adapts thresholds for multiple entities within the scope of an anomaly detection configuration.
- Explanation
Static thresholds for anomaly detection
When to use a static threshold for your anomaly detection.
- Explanation
Anomaly detection configuration
How to set up an alert for missing measurements.
- Explanation
Automated multi-dimensional baselining
Learn how Dynatrace AI automatically calculates baselines based on a multi-dimensional baselining scheme.
- Explanation
Anomaly Detection status types
An explanation of Anomaly Detection status types
- Explanation
Getting started
Adjust the sensitivity of anomaly detection
Learn how to adapt the sensitivity of problem detection in Dynatrace.
- Explanation
Anomaly Detection app
Explore anomaly detection configurations using the Anomaly Detection app.
- App
Metric events
Learn about metric events in Dynatrace
- Overview
Automate alerts with API
Learn how to set up an Anomaly Detection custom alert via API.
- Tutorial