elastic · amyjtechwriter · Jul 20, 2023 · Jul 19, 2023 · Jul 19, 2023 · Jul 19, 2023
diff --git a/docs/user/images/annotation.gif b/docs/user/images/annotation.gif
diff --git a/docs/user/images/globalfilter.png b/docs/user/images/globalfilter.png
diff --git a/docs/user/images/logratespikes.png b/docs/user/images/logratespikes.png
diff --git a/docs/user/images/logratespikes1.png b/docs/user/images/logratespikes1.png
diff --git a/docs/user/images/newwayhighlighted.png b/docs/user/images/newwayhighlighted.png
diff --git a/docs/user/images/oldwayhighlighted.png b/docs/user/images/oldwayhighlighted.png
diff --git a/docs/user/images/significant-terms.png b/docs/user/images/significant-terms.png
diff --git a/docs/user/images/stepcurve.gif b/docs/user/images/stepcurve.gif
diff --git a/docs/user/images/tagcloud.png b/docs/user/images/tagcloud.png
diff --git a/docs/user/images/timefunctions.png b/docs/user/images/timefunctions.png
diff --git a/docs/user/images/wildcard-search.png b/docs/user/images/wildcard-search.png
diff --git a/docs/user/whats-new.asciidoc b/docs/user/whats-new.asciidoc
@@ -39,6 +39,87 @@ image::images/case-notification.png[Example email with case name, description, t
 
 To learn more, check out cases in the {observability-guide}/create-cases.html[{observability}], <<cases,{stack-manage-app}>>, or {security-guide}/cases-overview.html[{security-app}].
 
+[discrete]
+=== Dashboard
+
+[discrete]
+==== Wildcard search in dashboard controls
+**Dashboard** now supports searching for strings that are found within the values shown in a control. Previously, it was required for the string to be located at the start of the value in order to be found. However this is a more expensive option then just searching for the prefix, so it’s disabled by default. To enable it in **Dashboard** select Edit control > Options list settings > Contains. 
+
+[role="screenshot"]
+image::images/wildcard-search.png[Example of new string search]
+
+[discrete]
+=== Lens
+
+[discrete]
+==== Stacked bar chart legend
+
+The order of stacked bar chart legends is now based on popularity with the most important element displayed on top. You no longer need to scroll to the bottom of the legend to find the most popular data in the chart. 
+
+Previously:
+[role="screenshot"]
+image::images/oldwayhighlighted.png[Example of the old ordering of the chart legend, width=80%]
 
+New in 8.9:
+[role="screenshot"]
+image::images/newwayhighlighted.png[Example of the new ordering of the chart legend, width=80%]
+
+[discrete]
+==== Step curve
+
+**Lens** now supports three new options for line charts. The three options are straight, smooth, and step. Step curve line charts help users see clearly when data changes at irregular intervals, which helps to avoid misinterpretation. When creating visualizations select **Line** in the visualization type dropdown. Then use the visual options menu to choose between straight, smooth, or step in the Line interpolation dropdown. 
+
+[role="screenshot"]
+image::images/stepcurve.gif[An short video displaying the three new chart options]
 
+[discrete]
+==== Significance (significant terms)
+
+This new ranking method in the top values breakdown displays data by significance (significant terms). It permits us to get the terms that are important and likely the most critical for a given query. It’s a powerful way to find anomalies in your data with multiple use cases. Read more {ref}/search-aggregations-bucket-significantterms-aggregation.html[here].
+This is not just based on the most popular terms in a set. When calculating significant terms, Elasticsearch looks for significant changes in popularity of a specific term between two sets of data. A foreground set (the data returned by a query) and a background set (the data in our indices). This is supported on all charts. 
+
+[role="screenshot"]
+image::images/significant-terms.png[Example of a donut chart organized by significant terms, width=70%]
+
+[discrete]
+==== Tag cloud
 
+You can now create a word cloud in **Lens** using Tag cloud, which is currently in technical preview. When creating new visualizations, select **Tag cloud** in the visualization type dropdown. From the available fields drag and drop the desired field into the workspace to visualize keywords. 
+
+[role="screenshot"]
+image::images/tagcloud.png[Example of a tag cloud, width=70%]
+
+[discrete]
+==== Save annotation groups as a Kibana saved object
+
+Group annotations and save them to the visualize library, so the content can be reused across multiple visualizations. This saves time for users with complicated annotations. From the main menu select Visualize Library, then select the tab **Annotation groups**. Here you can create new annotation groups in **Lens**, or select from a list of previously created annotation groups.
+
+[role="screenshot"]
+image::images/annotation.gif[Example of how to save an annotation group to the visualize library]
+
+[discrete]
+==== New time functions in Lens formula
+
+The **Lens** formula now supports customizing the histogram interval and defining the desired time range. This was already available in TSVB charts and it was important to facilitate the conversion to **Lens**. 
+
+[role="screenshot"]
+image::images/timefunctions.png[Example of customizing the histogram interval and defining the desired time range]
+
+[discrete]
+==== Ignore global filters in Lens
+
+We now offer users the ability to ignore global filters per data layer in **Lens**. This allows users to easily compare different time frames in the same chart. This functionality previously only existed in the annotations layer.
+
+[role="screenshot"]
+image::images/globalfilter.png[Example of the new global filter slider]
+
+[discrete]
+=== Machine learning
+
+[discrete]
+==== Explain log rate spikes
+preview:[] The AIOps Labs **Explain Log Rate Spikes** feature is now embeddable into other pages. This reusable component has been picked up by the Observability team and added the analysis to their log threshold alert details page. This is a new view introduced in 8.9. It is the starting point for troubleshooting log alerts. The log rate spike analysis helps find the reason behind a particular change possibly in millions of log events across multiple fields and values in seconds. Additionally, users can trigger the AI assistant from here to get remediation and troubleshooting suggestions.
+
+[role="screenshot"]
+image::images/logratespikes1.png[Example of the new log rates spikes dashboard]