Skip to content

Commit

Permalink
Update detector-visualization integration documentation to specify re…
Browse files Browse the repository at this point in the history
…al-time AD results only (#7663) (#7672)
  • Loading branch information
opensearch-trigger-bot[bot] authored Jul 10, 2024
1 parent da51e90 commit 2a2c019
Showing 1 changed file with 2 additions and 2 deletions.
4 changes: 2 additions & 2 deletions _observing-your-data/ad/dashboards-anomaly-detection.md
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@ Introduced 2.9

OpenSearch provides an automated means of detecting harmful outliers and protecting your data when you enable anomaly detection. When applied to metrics, OpenSearch uses algorithms to continuously analyze systems and applications, determine normal baselines, and surface anomalies.

You can connect data visualizations to OpenSearch datasets and then create, run, and view anomaly alarms and results from visualizations in the **Dashboard** interface. With only a couple of steps, you can bring together traces, metrics, and logs to make your applications and infrastructure fully observable.
You can connect data visualizations to OpenSearch datasets and then create, run, and view real-time anomaly results from visualizations in the **Dashboard** interface. With only a couple of steps, you can bring together traces, metrics, and logs to make your applications and infrastructure fully observable.

## Getting started

Expand All @@ -23,7 +23,7 @@ Before getting started, you must have:

## General requirements for anomaly detection visualizations

Anomaly detection visualizations are displayed as time-series charts that give you a snapshot of when anomalies have occurred from different anomaly detectors you have configured for the visualization. You can display up to 10 metrics on your chart, and each series can be shown as a line on the chart.
Anomaly detection visualizations are displayed as time-series charts that give you a snapshot of when anomalies have occurred from different anomaly detectors you have configured for the visualization. You can display up to 10 metrics on your chart, and each series can be shown as a line on the chart. Note that only real-time anomalies will be visible on the chart. For more information on real-time and historical anomaly detection, see [Anomaly detection, Step 3: Set up detector jobs]({{site.url}}{{site.baseurl}}/observing-your-data/ad/index/#step-3-set-up-detector-jobs).

Keep in mind the following requirements when setting up or creating anomaly detection visualizations. The visualization:

Expand Down

0 comments on commit 2a2c019

Please sign in to comment.