Merge pull request #300518 from mumian/0528-arm-throttling

Add Background throttling

Author: prmerger-automator[bot]

articles/azure-resource-manager/management/request-limits-and-throttling.md

@@ -2,7 +2,7 @@
 title: Understand how Azure Resource Manager throttles requests
 description: Learn how Azure Resource Manager throttles requests when subscription limits are reached and how to respond.
 ms.topic: conceptual
-ms.date: 01/23/2025
+ms.date: 05/28/2025
 ms.custom: devx-track-arm-template
 ---
 
@@ -49,6 +49,18 @@ Since different regions have a different number of Resource Manager instances, t
 
 You can send more requests. Write requests increase by 30 times. Delete requests increase by 2.4 times. Read requests increase by 7.5 times.
 
+## Background Job Throttling
+
+Background jobs in Azure Resource Manager (ARM) are automated tasks that run behind the scenes to support operations such as resource deployments, diagnostics, and system maintenance. These jobs are essential for processing user requests and ensuring service functionality. To maintain platform stability and reliability, ARM employs background job throttling to manage the load from these tasks.
+
+You can identify when background job throttling occurs if you receive the following error message:
+
+```error
+The request for subscription '{0}' could not be processed due to an excessive volume of traffic. Please try again later.
+```
+
+Customers might experience throttling due to excessive background jobs, which can be triggered by high-frequency operations or system-wide activities. While customers do not have direct control over the creation or execution of these jobs, awareness of potential throttling is important.
+
 ## Throttling for non-public clouds
 
 Throttling happens at two levels. Azure Resource Manager throttles requests for the subscription and tenant. If the request is under the throttling limits for the subscription and tenant, Resource Manager routes the request to the resource provider. The resource provider applies throttling limits that are tailored to its operations.