Update detector-visualization integration documentation to specify re…

…al-time AD results only (#7663) * Update doc to specify real-time AD results only Signed-off-by: Tyler Ohlsen <[email protected]> * Update _observing-your-data/ad/dashboards-anomaly-detection.md Signed-off-by: Melissa Vagi <[email protected]> * Update _observing-your-data/ad/dashboards-anomaly-detection.md Signed-off-by: Melissa Vagi <[email protected]> --------- Signed-off-by: Tyler Ohlsen <[email protected]> Signed-off-by: Melissa Vagi <[email protected]> Co-authored-by: Melissa Vagi <[email protected]> (cherry picked from commit e88c84a) Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
opensearch-project · Jul 10, 2024 · 61a2f90 · 61a2f90
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Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/_observing-your-data/ad/dashboards-anomaly-detection.md b/_observing-your-data/ad/dashboards-anomaly-detection.md
@@ -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 
 
@@ -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: