Add anomaly detection visualizations documentation (#4091)

* Add anomaly detection visualizations documentation

---------

Signed-off-by: vagimeli <vagimeli@amazon.com>
Signed-off-by: Melissa Vagi <vagimeli@amazon.com>
Co-authored-by: Heather Halter <HDHALTER@AMAZON.COM>
Co-authored-by: Nathan Bower <nbower@amazon.com>

_observing-your-data/ad/dashboards-anomaly-detection.md

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+---
+layout: default
+title: Anomaly detection visualizations and dashboards
+parent: Anomaly detection
+nav_order: 50
+---
+
+# Anomaly detection dashboards and visualizations
+Introduced 2.9
+{: .label .label-purple }
+
+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.
+
+## Getting started 
+
+Before getting started, you must have:
+
+- Installed OpenSearch and OpenSearch Dashboards version 2.9 or later. See [Installing OpenSearch]({{site.url}}{{site.baseurl}}/install-and-configure/install-opensearch/index/).
+- Installed the Alerting and Notifications Dashboards plugins. See [Managing OpenSearch Dashboards plugins]({{site.url}}{{site.baseurl}}/install-and-configure/install-dashboards/plugins/) to get started.
+
+## General requirements for anomaly detection visualizations
+
+Anomaly detection visualizations are intended for use with time-series data (real-time or historical). The following visualization types are used frequently for time-series data: line, area, vertical bar, and time-series visual builder (TSVB).
+
+## Configuring admin settings
+
+Users can only access, create, or manage alerts for resources for which they have permissions. Access to anomaly detection dashboards and visualizations is controlled by OpenSearch and OpenSearch Dashboards permissions. It is enabled by default and appears as a feature under **Dashboards Management** > **Advanced Settings** > **Visualization**. If the setting is disabled, it does not appear under **Dashboards Management**. You can disable the setting at the cluster level in the `opensearch-dashboards.yml` file.
+
+## Creating anomaly detectors
+
+To start, first create an anomaly detector:
+
+1. Select **Dashboard** from the OpenSearch Dashboards main menu.
+2. From the **Dashboards** window, select **Create** and then choose **Dashboard**.
+3. Select **Add an existing**, then select the appropriate visualization from the **Add panels** list. The visualization is added to the dashboard.
+4. From the visualization panel, choose the ellipsis icon ({::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/ellipsis-icon.png" class="inline-icon" alt="ellipsis icon"/>{:/}).
+5. From the **Options** menu, choose **Anomaly Detection** > **Add anomaly detector**.
+6. Select **Create new detector**.
+7. Input information for **Detector details** and **Model features**. Up to five model features are allowed. 
+8. To preview the visualization within the flyout, toggle the **Show visualization** button.
+9. Select **Create detector**. Once you have created a new detector, the detector is added to the visualization, as shown in the following image.  
+
+<img src="{{site.url}}{{site.baseurl}}/images/dashboards/add-detector.png" alt="Interface of adding a detector" width="800" height="800">
+
+## Adding anomaly detectors to visualizations
+
+Use a single interface to add, view, and edit anomaly detectors that you want to associate with a visualization. Continuing with the visualization and dashboard in the preceding tutorial, follow these steps to associate an anomaly detector with a visualization:
+ 
+1. Select the ellipsis icon ({::nomarkdown}<img src="{{site.url}}{{site.baseurl}}/images/ellipsis-icon.png" class="inline-icon" alt="ellipsis icon"/>{:/}) from the visualization panel, then select **Anomaly Detection**.
+2. Select **Associate a detector**.
+3. From the **Select detector to associate** dropdown menu, select the detector. Only eligible detectors are listed in the dropdown menu.
+4. View basic information about the detectors. To view comprehensive details, select **View detector page** to open the Anomaly Detection plugin page.
+5. Select **Associate detector**. An existing detector is now associated to the visualization, as shown in the following image.
+
+<img src="{{site.url}}{{site.baseurl}}/images/dashboards/anomaly-detect-dashboard.png" alt="Interface and confirmation message of associating a detector" width="800" height="800">
+
+## Refreshing the visualization
+
+Depending on the threshold settings, the visualization refreshes automatically at the specified interval. To manually refresh the visualization, select the **Refresh** button on the Dashboard page.
+
+## Next steps
+
+- [Learn more about the Dashboard application]({{site.url}}{{site.baseurl}}/dashboards/dashboard/index/).
+- [Learn more about anomaly detection]({{site.url}}{{site.baseurl}}/observing-your-data/ad/index/).