Merge branch 'main' into cloud_account_refinement

Author: bmorelli25

.github/workflows/docs-build.yml

@@ -7,7 +7,7 @@ jobs:
   preview:
     uses: elastic/docs-builder/.github/workflows/preview-build.yml@main
     with:
-      continue-on-error: true
+      continue-on-error: false
       strict: false
     permissions:
       contents: read

.gitignore

@@ -1,2 +1,3 @@
 # docs-builder default output
-.artifacts
+.artifacts
+.DS_store

deploy-manage/deploy/elastic-cloud.md

@@ -14,6 +14,7 @@ Serverless projects use the core components of the {{stack}}, such as {{es}} and
 Elastic provides three serverless solutions available on {{ecloud}}:
 
 * **https://www.elastic.co/guide/en/serverless/current/what-is-elasticsearch-serverless.html[{{es-serverless}}]**: Build powerful applications and search experiences using a rich ecosystem of vector search capabilities, APIs, and libraries.
+% See solutions/search/serverless-elasticsearch-get-started.md
 * **https://www.elastic.co/guide/en/serverless/current/what-is-observability-serverless.html[{{obs-serverless}}]**: Monitor your own platforms and services using powerful machine learning and analytics tools with your logs, metrics, traces, and APM data.
 * **https://www.elastic.co/guide/en/serverless/current/what-is-security-serverless.html[{{sec-serverless}}]**: Detect, investigate, and respond to threats with SIEM, endpoint protection, and AI-powered analytics capabilities.
 

explore-analyze/machine-learning/anomaly-detection.md

@@ -8,9 +8,9 @@ mapped_urls:
 
 You can use {{stack}} {{ml-features}} to analyze time series data and identify anomalous patterns in your data set.
 
-* [Finding anomalies](../../../explore-analyze/machine-learning/anomaly-detection/ml-ad-finding-anomalies.md)
-* [Tutorial: Getting started with {{anomaly-detect}}](../../../explore-analyze/machine-learning/anomaly-detection/ml-getting-started.md)
-* [*Advanced concepts*](../../../explore-analyze/machine-learning/anomaly-detection/ml-ad-concepts.md)
-* [*API quick reference*](../../../explore-analyze/machine-learning/anomaly-detection/ml-api-quickref.md)
-* [How-tos](../../../explore-analyze/machine-learning/anomaly-detection/anomaly-how-tos.md)
-* [*Resources*](../../../explore-analyze/machine-learning/anomaly-detection/ml-ad-resources.md)
+* [Finding anomalies](../../explore-analyze/machine-learning/anomaly-detection/ml-ad-finding-anomalies.md)
+* [Tutorial: Getting started with {{anomaly-detect}}](../../explore-analyze/machine-learning/anomaly-detection/ml-getting-started.md)
+* [*Advanced concepts*](../../explore-analyze/machine-learning/anomaly-detection/ml-ad-concepts.md)
+* [*API quick reference*](../../explore-analyze/machine-learning/anomaly-detection/ml-api-quickref.md)
+* [How-tos](../../explore-analyze/machine-learning/anomaly-detection/anomaly-how-tos.md)
+* [*Resources*](../../explore-analyze/machine-learning/anomaly-detection/ml-ad-resources.md)

explore-analyze/machine-learning/anomaly-detection/ml-configuring-transform.md

@@ -389,3 +389,5 @@ The preview {{dfeed}} API returns the following results, which show that `41.44`
   }
 ]
 ```
+
+$$$ml-configuring-transform8$$$

explore-analyze/query-filter.md

@@ -24,3 +24,4 @@ If you're just getting started with Elasticsearch, try the hands-on [API quickst
 
 When querying your data in Kibana, additional options let you filter the results to just the subset you need. Some of these options are common to most Elastic apps. Check [Filtering in Kibana](/explore-analyze/query-filter/filtering.md) for more details on how to recognize and use them in the UI.
 
+$$$search-analyze-query-languages$$$

explore-analyze/query-filter/filtering.md

@@ -25,21 +25,21 @@ Some apps provide more options, such as [Dashboards](../dashboards.md).
 
 Display data within a specified time range when your index contains time-based events, and a time-field is configured for the selected [{{data-source}}](../find-and-organize/data-views.md). The default time range is 15 minutes, but you can customize it in [Advanced Settings](https://www.elastic.co/guide/en/kibana/current/advanced-options.html).
 
-1. Click ![calendar icon](../../../images/kibana-time-filter-icon.png).
+1. Click ![calendar icon](../../images/kibana-time-filter-icon.png).
 2. Choose one of the following:
 
     * **Quick select**. Set a time based on the last or next number of seconds, minutes, hours, or other time unit.
     * **Commonly used**. Select a time range from options such as **Last 15 minutes**, **Today**, and **Week to date**.
     * **Recently used date ranges**. Use a previously selected data range.
     * **Refresh every**. Specify an automatic refresh rate.
-        
+
 :::{image} ../../images/kibana-time-filter.png
 :alt: Time filter menu
 :width: 300px
 :::
 
 3. To set start and end times, click the bar next to the time filter. In the popup, select **Absolute**, **Relative** or **Now**, then specify the required options.
-    
+
 :::{image} ../../images/kibana-time-relative.png
 :alt: Time filter showing relative time
 :width: 350px
@@ -55,4 +55,4 @@ To manually resubmit a search, click the **Refresh** button. This is useful when
 
 Structured filters are a more interactive way to create {{es}} queries, and are commonly used when building dashboards that are shared by multiple analysts. Each filter can be disabled, inverted, or pinned across all apps. Each of the structured filters is combined with AND logic on the rest of the query.
 
-![Add filter popup](../../../images/kibana-add-filter-popup.png "")
+![Add filter popup](../../images/kibana-add-filter-popup.png "")

explore-analyze/query-filter/languages/querydsl.md

@@ -28,7 +28,7 @@ $$$relevance-scores$$$
 
 **Query DSL** is a full-featured JSON-style query language that enables complex searching, filtering, and aggregations. It is the original and most powerful query language for {{es}} today.
 
-The [`_search` endpoint](/solutions/search/querying-for-search-searching-with-the-search-api.md) accepts queries written in Query DSL syntax.
+The [`_search` endpoint](../../../solutions/search/querying-for-search.md) accepts queries written in Query DSL syntax.
 
 
 ### Search and filter with Query DSL [search-analyze-query-dsl-search-filter]