DataDog · dd-mergequeue · May 16, 2025 · May 15, 2025
@@ -16,6 +16,10 @@ further_reading:
   text: "Enhance your automated workflows and apps with Datastore"
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+<div class="alert alert-warning">Datastores are not available in the selected site ({{< region-param key="dd_site_name" >}}).</div>
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 ## Overview
 
 The Actions Datastore offers a scalable, structured data storage solution within Datadog's App Builder and Workflow Automation products. It supports CRUD (Create, Read, Update, and Delete) operations and integrates seamlessly with Datadog's ecosystem to optimize persistent data storage without the need for external databases.

@@ -22,6 +22,10 @@ further_reading:
   text: "Remediate Kubernetes incidents faster using private actions in your apps and workflows"
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+{{< site-region region="gov" >}}
+<div class="alert alert-warning">Private actions are not available in the selected site ({{< region-param key="dd_site_name" >}}).</div>
+{{< /site-region >}}
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 Private actions allow your Datadog workflows and apps to interact with services hosted on your private network without exposing them to the public internet. To use private actions, you must install a private action runner on a host in your network using Docker or [Kubernetes][1] and pair the runner with a [connection][2].
 
 <div class="alert alert-warning">To install a private action runner, your organization must have <a href="/agent/remote_config/?tab=configurationyamlfile#enabling-remote-configuration">Remote Configuration</a> enabled.</div>

@@ -6,6 +6,10 @@ aliases:
 disable_toc: false
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+{{< site-region region="gov" >}}
+<div class="alert alert-warning">Private actions are not available in the selected site ({{< region-param key="dd_site_name" >}}).</div>
+{{< /site-region >}}
+
 ## Overview
 
 Private actions allow your Datadog workflows and apps to interact with services hosted on your private network without exposing your services to the public internet. To use private actions, you must install a private action runner on a host in your network and pair the runner with a Datadog Connection. For more information on setting up a runner and pairing it with a connection, see [Private Actions][1].

@@ -19,6 +19,10 @@ further_reading:
   text: "Handling Private Action Credentials"
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+{{< site-region region="gov" >}}
+<div class="alert alert-warning">Private actions are not available in the selected site ({{< region-param key="dd_site_name" >}}).</div>
+{{< /site-region >}}
+
 ## Overview
 
 Private actions allow your Datadog workflows and apps to interact with services hosted on your private network without exposing your services to the public internet. To use private actions, you must use Docker to install a private action runner on a host in your network, then pair the runner with a Datadog Connection.

@@ -13,6 +13,10 @@ further_reading:
 
 ---
 
+{{< site-region region="gov" >}}
+<div class="alert alert-warning">Workflow Automation is not supported for your selected <a href="/getting_started/site">Datadog site</a> ({{< region-param key="dd_site_name" >}}).</div>
+{{< /site-region >}}
+
 The following variables and parameters are available in workflows:
 - [Context variables](#context-variables): Context variables are a broad category of immutable variables that store contextual information about a workflow, or contain data that is passed into the workflow by a triggering event or by a step in the workflow.
 - [Input parameters](#input-parameters): Input parameters are immutable key-value pairs that you can use to pass data into a workflow at runtime.

@@ -10,6 +10,10 @@ further_reading:
   text: "Learn about LLM Observability Key Terms and Concepts"
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 ## Overview
 
 You can identify drifts in your LLM applications by visualizing trace data in clusters on the [Clusters page][1]. Select an application configured with LLM Observability to view cluster information. 

@@ -13,6 +13,10 @@ further_reading:
   text: "Learn how to set up LLM Observability"
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 ## Overview
 
 You can configure your LLM applications on the Settings page to optimize your application's performance and security.

@@ -9,6 +9,10 @@ cascade:
         subcategory: LLM Observability Guides
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+<div class="alert alert-warning">LLM Observability is not available in the selected site ({{< region-param key="dd_site_name" >}}) at this time.</div>
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 {{< whatsnext desc="LLM Observability Guides:" >}}
     {{< nextlink href="/llm_observability/quickstart" >}}Trace an LLM Application{{< /nextlink >}}
     {{< nextlink href="/llm_observability/submit_evaluations" >}}Submit Evaluations{{< /nextlink >}}

@@ -13,6 +13,10 @@ further_reading:
   text: "Troubleshooting RAG-based LLM applications"
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+<div class="alert alert-warning">LLM Observability is not available in the selected site ({{< region-param key="dd_site_name" >}}) at this time.</div>
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 ## Overview
 
 This guide explains how you can use both LLM Observability and APM to link LLM Observability and APM [spans][6] in Datadog. 

@@ -6,6 +6,10 @@ further_reading:
       text: 'Ragas Evaluations'
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+<div class="alert alert-warning">LLM Observability is not available in the selected site ({{< region-param key="dd_site_name" >}}) at this time.</div>
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 Learn how to use Datadog's integration with the [Ragas][1] framework to evaluate your LLM application. For more information about the Ragas integration, including a detailed setup guide, see [Ragas Evaluations][2].
 
 1. Install required dependencies:

@@ -12,6 +12,10 @@ further_reading:
       text: 'Learn about the LLM Observability SDK for Node.js'
 ---
 
+{{< site-region region="gov" >}}
+<div class="alert alert-warning">LLM Observability is not available in the selected site ({{< region-param key="dd_site_name" >}}) at this time.</div>
+{{< /site-region >}}
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 <div class="alert alert-info">Datadog offers a variety of artificial intelligence (AI) and machine learning (ML) capabilities. The <a href="/integrations/#cat-aiml">AI/ML integrations on the Integrations page and the Datadog Marketplace</a> are platform-wide Datadog functionalities. <br><br> For example, APM offers a native integration with OpenAI for monitoring your OpenAI usage, while Infrastructure Monitoring offers an integration with NVIDIA DCGM Exporter for monitoring compute-intensive AI workloads. These integrations are different from the LLM Observability offering.</div>
 
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