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Update doc to specify real-time AD results only
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Signed-off-by: Tyler Ohlsen <[email protected]>
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ohltyler committed Jul 9, 2024
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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 info on real-time vs. historical anomaly detection, see [here]({{site.url}}{{site.baseurl}}/observing-your-data/ad/index/#step-3-set-up-detector-jobs).

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[OpenSearch.LatinismsSubstitution] Use 'compared to or compared with' instead of 'vs.'.

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{"message": "[OpenSearch.LatinismsSubstitution] Use 'compared to or compared with' instead of 'vs.'.", "location": {"path": "_observing-your-data/ad/dashboards-anomaly-detection.md", "range": {"start": {"line": 26, "column": 396}}}, "severity": "WARNING"}

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

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