AIOps

[preview] This functionality is in technical preview and may be changed or removed in a future release. Elastic will work to fix any issues, but features in technical preview are not subject to the support SLA of official GA features.

The AIOps capabilities available in Observability enable you to consume and process large observability data sets at scale, reducing the time and effort required to detect, understand, investigate, and resolve incidents. Built on predictive analytics and machine learning, our AIOps capabilities require no prior experience with machine learning. DevOps engineers, SREs, and security analysts can get started right away using these AIOps features with little or no advanced configuration:

Feature	Description
Anomaly detection	Detect anomalies by comparing real-time and historical data from different sources to look for unusual, problematic patterns.
Log rate analysis	Find and investigate the causes of unusual spikes or drops in log rates.
Change point detection	Detect distribution changes, trend changes, and other statistically significant change points in a metric of your time series data.

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