Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into yelevin/aux-logs-ga

Author: yelevin

articles/business-continuity-center/index.yml

@@ -13,7 +13,7 @@ metadata:
   ms.topic: landing-page
   author: jyothisuri
   ms.author: jsuri
-  ms.date: 03/03/2025
+  ms.date: 03/25/2025
 # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | video | whats-new
 
 landingContent:
@@ -64,3 +64,11 @@ landingContent:
         links:
           - text: Manage BCDR estate (preview)
             url: tutorial-manage-data-using-copilot.md
+
+  # Card (optional)
+  - title: Architecture
+    linkLists:
+      - linkListType: architecture
+        links:
+          - text: Well-Architecture design recommendation for monitoring/ alerting
+            url: /azure/well-architected/reliability/monitoring-alerting-strategy#azure-facilitation

articles/business-continuity-center/tutorial-monitor-alerts-metrics.md

@@ -2,7 +2,7 @@
 title: Tutorial - Monitor alerts and metrics in Azure Business Continuity Center
 description: In this tutorial, learn how to monitor alerts and configure notifications for your business continuity estate using Azure Business Continuity center.
 ms.topic: tutorial
-ms.date: 12/30/2024
+ms.date: 03/30/2025
 ms.service: azure-business-continuity-center
 ms.custom:
   - ignite-2023
@@ -76,6 +76,6 @@ To view metrics, follow these steps:
 
 ## Next steps
 
-- [Configure datasources](./tutorial-configure-protection-datasource.md)
-
+- [Configure datasources](./tutorial-configure-protection-datasource.md).
+- [Well-Architected Framework design recommendation for reliable monitoring and alerting strategy](/azure/well-architected/reliability/monitoring-alerting-strategy#azure-facilitation).
 

articles/business-continuity-center/tutorial-view-protected-items-and-perform-actions.md

@@ -6,7 +6,7 @@ ms.service: azure-business-continuity-center
 ms.custom:
   - ignite-2023
   - ignite-2024
-ms.date: 11/19/2024
+ms.date: 03/30/2025
 author: jyothisuri
 ms.author: jsuri
 ---
@@ -155,4 +155,5 @@ With the protected items view, you can choose to perform actions from:
 
 ## Next steps
 
-For more information about Azure Business Continuity center and how it works, check out [Configure protection from ABC Center](./tutorial-configure-protection-datasource.md).
+- For more information about Azure Business Continuity center and how it works, check out [Configure protection from ABC Center](./tutorial-configure-protection-datasource.md).
+- [Cloud-Adoption Framework for business continuity and disaster recovery of SAP migration](/azure/cloud-adoption-framework/scenarios/sap/eslz-business-continuity-and-disaster-recovery#backup-and-restore).

articles/connectors/connectors-azure-monitor-logs.md

@@ -50,7 +50,7 @@ Both of the following actions can run a log query against a Log Analytics worksp
   | Max connector timeout | 110 seconds ||
   | Max query timeout | 100 seconds ||
 
-  To avoid reaching these limits, try aggregating data to reduce the results size, or adjusting the workflow recurrence to run more frequently across a smaller time range. However, due to caching, frequent queries with intervals less than 120 seconds aren't recommended.
+  To avoid reaching these limits, try aggregating data to reduce the results size, or adjusting the workflow recurrence to run more frequently across a smaller time range.
 
 - Visualizations on the Logs page and the connector use different charting libraries. So, the connector currently doesn't include some functionality.
 

articles/hdinsight/load-balancer-migration-guidelines.md

@@ -6,7 +6,7 @@ ms.topic: how-to
 author: abhishjain002
 ms.author: abhishjain
 ms.reviewer: sairamyeturi
-ms.date: 03/03/2025
+ms.date: 03/31/2025
 ---
 
 # Basic Load balancer deprecation: Guidelines for Azure HDInsight
@@ -132,7 +132,12 @@ NAT gateway provides outbound network connectivity for the cluster. NSG controls
 
          
        * **Method 2:** Create a new subnet and then create the cluster with the new subnet.
- 
+
+> [!IMPORTANT]
+> * If you experience job slowness or network issues after cluster recreation with a standard load balancer, check the "Total SNAT Connection Count" and "Dropped Packets" on your NAT Gateway. High values may indicate SNAT port exhaustion. To address this, consider implementing one of the following methods:
+>   * Bind additional IP addresses or IP prefixes to your NAT Gateway. For more information, see [Troubleshoot Azure NAT Gateway connectivity](/azure/nat-gateway/troubleshoot-nat-connectivity) and [Metrics and alerts for Azure NAT Gateway](/azure/nat-gateway/nat-metrics#total-snat-connection-count).
+>   * Enable private link to storage accounts which could reduce SNAT port dependency. For more information, see [Use private endpoints for Azure Storage](/azure/storage/common/storage-private-endpoints).
+
 > [!NOTE]
 > If you are using an ESP cluster with MFA disabled, ensure to check the MFA status once cluster is recreated using a NAT gateway.
 

articles/hdinsight/use-managed-identity-for-sql-database-authentication-in-azure-hdinsight.md

@@ -3,10 +3,10 @@ title: Use Managed Identity for SQL Database authentication in Azure HDInsight
 description: Learn how to use managed identity for SQL Database authentication in Azure HDInsight. 
 ms.service: azure-hdinsight 
 ms.topic: how-to 
-author: hareshg
-ms.author: hgowrisankar
+author: abhishjain002
+ms.author: abhishjain
 ms.reviewer: nijelsf
-ms.date: 01/09/2025 
+ms.date: 03/31/2025 
 ---
 
 # Use Managed Identity for SQL Database authentication in Azure HDInsight 
@@ -33,7 +33,6 @@ The Managed Identity (MI) option is available for the following Databases:
 > * It's recommended not to update the Managed Identity after cluster recreation as it can disrupt cluster operation.
 > * When you recreate an MSI with the same name, you must recreate the contained user and reassign roles, as the new MSI will have different object and client IDs even if the name remains unchanged.
 
-
 ## Steps to Use Managed Identity during cluster creation in Azure portal
 
 1. During cluster creation, navigate to the Storage section and select the SQL database for Ambari/Hive/Oozie. Choose Managed Identity as the Authentication method.
@@ -56,7 +55,7 @@ Object ID of managed identity can be obtained from portal on the managed identit
    > For example: 
    > * MSI Name: contosoMSI 
    > * Object ID: `aaaaaaaa-0000-1111-2222-bbbbbbbbbbbb`
-   > * user_name could be `contosoMSI-2ba6c`
+   > * user_name could be `contosoMSI_aaaaaaaa`
 
 
     ``` 

articles/iot/iot-overview-analyze-visualize.md

@@ -15,7 +15,7 @@ ms.custom: template-overview
 
 This overview introduces the key concepts around the options to analyze and visualize your IoT data. Each section includes links to content that provides further detail and guidance.
 
-In Azure IoT, analysis and visualization services are used to identify and display business insights derived from your IoT data. For example, you can use a machine learning model to analyze device telemetry and predict when maintenance should be carried out on an industrial asset. You can also use a visualization tool to display a map of the location of your devices.
+In Azure IoT, analysis and visualization services are used to identify and display business insights derived from your IoT data. For example, you can use a machine learning model to analyze device sensor data and predict when maintenance should be carried out on an industrial asset. You can also use a visualization tool to display a map of the location of your devices.
 
 # [Edge-based solution](#tab/edge)
 
@@ -55,6 +55,14 @@ The following articles show some examples of how to use Microsoft Fabric to anal
 - [Tutorial: Get insights from your processed data](../iot-operations/end-to-end-tutorials/tutorial-get-insights.md)
 - [Tutorial: Send data from an OPC UA server to Azure Data Lake Storage Gen 2](../iot-operations/connect-to-cloud/tutorial-opc-ua-to-data-lake.md)
 
+### Azure Machine Learning
+
+[Azure Machine Learning](/azure/machine-learning/overview-what-is-azure-machine-learning) is a cloud-based service for building, training, and deploying machine learning models. It provides a variety of tools and services to help you create and manage machine learning workflows. You can use Azure Machine Learning to analyze IoT data and build predictive models. On Azure Arc-enabled Kubernetes clusters, such as Azure IoT Operations, you can train and deploy machine learning models at the edge with the [Kubernetes compute target in Azure Machine Learning](/azure/machine-learning/how-to-attach-kubernetes-anywhere).
+
+- [Deploy Azure Machine Learning extension on Arc-enabled Kubernetes cluster](/azure/machine-learning/how-to-deploy-kubernetes-extension)
+- [Enable machine learning inference on an Azure IoT Edge device](/azure/architecture/guide/iot/machine-learning-inference-iot-edge)
+
+
 ### Azure Data Explorer
 
 [Azure Data Explorer](/azure/data-explorer/data-explorer-overview/) is a fully managed, high-performance, big-data analytics platform that makes it easy to analyze high volumes of data in near real time. The following articles and tutorials show some examples of how to use Azure Data Explorer to analyze and visualize IoT data:

articles/iot/iot-overview-device-connectivity.md

@@ -207,7 +207,7 @@ Azure IoT Operations is an edge runtime environment that hosts the services to c
 
 Data flows provide data transformation and data contextualization capabilities before routing messages to various locations including cloud endpoints.
 
-Azure IoT Operations runs on Azure Arc-enabled edge Kubernetes clusters, enabling a fully automated machine learning operations in hybrid mode, including training and AI model deployment steps that transition seamlessly between cloud and edge. To learn more, see [Introduction to Kubernetes compute target in Azure Machine Learning](/azure/machine-learning/how-to-attach-kubernetes-anywhere).
+Azure IoT Operations runs on Azure Arc-enabled Kubernetes clusters, enabling a fully automated machine learning operations in hybrid mode, including training and AI model deployment steps that transition seamlessly between cloud and edge. To learn more, see [Introduction to Kubernetes compute target in Azure Machine Learning](/azure/machine-learning/how-to-attach-kubernetes-anywhere).
 
 ### [Cloud-based solution](#tab/cloud)
 

articles/iot/iot-services-and-technologies.md

@@ -155,7 +155,7 @@ To learn more, see [Azure IoT device and service SDKs](iot-sdks.md).
 
 > Azure IoT Plug and Play is a programming model that enables you to build a **cloud-based IoT solution** that use IoT Hub or IoT Central.
 
-IoT Plug and Play enables solution builders to integrate IoT devices with their solutions without any manual configuration. At the core of IoT Plug and Play, is a device _model_ that a device uses to advertise its capabilities to an IoT Plug and Play-enabled service such as IoT Hub, IoT Central or Azure Digital Twins. You define IoT Plug and Play models and interfaces using the [Digital Twins Definition Language (DTDL)](https://github.com/Azure/opendigitaltwins-dtdl/blob/master/README.md).
+IoT Plug and Play enables solution builders to integrate IoT devices with their solutions without any manual configuration. At the core of IoT Plug and Play, is a device _model_ that a device uses to advertise its capabilities to an IoT Plug and Play-enabled service such as IoT Central or Azure Digital Twins. You define IoT Plug and Play models and interfaces using the [Digital Twins Definition Language (DTDL)](https://github.com/Azure/opendigitaltwins-dtdl/blob/master/README.md).
 
 To learn more, see [What is IoT Plug and Play?](overview-iot-plug-and-play.md).
 

articles/role-based-access-control/best-practices.md

@@ -5,7 +5,7 @@ author: rolyon
 manager: femila
 ms.service: role-based-access-control
 ms.topic: conceptual
-ms.date: 01/30/2024
+ms.date: 03/30/2025
 ms.author: rolyon
 #Customer intent: As a dev, devops, or it admin, I want to learn how to best use Azure RBAC.
 ---
@@ -22,7 +22,7 @@ When planning your access control strategy, it's a best practice to grant users
 
 The following diagram shows a suggested pattern for using Azure RBAC.
 
-![Azure RBAC and least privilege](./media/best-practices/rbac-least-privilege.png)
+:::image type="content" source="./media/best-practices/rbac-least-privilege.png" alt-text="Diagram of suggested pattern for using Azure RBAC and least privilege." lightbox="./media/best-practices/rbac-least-privilege.png":::
 
 For information about how to assign roles, see [Assign Azure roles using the Azure portal](role-assignments-portal.yml).