more changes

Author: v-thepet

articles/data-factory/.openpublishing.redirection.data-factory.json

@@ -1071,6 +1071,21 @@
             "redirect_url": "/azure/data-factory/connector-microsoft-fabric-lakehouse",
             "redirect_document_id": false
           },
+          {
+            "source_path_from_root": "/articles/data-factory/monitor-using-azure-monitor.md",
+            "redirect_url": "/azure/data-factory/monitor-data-factory",
+            "redirect_document_id": false
+          },
+          {
+            "source_path_from_root": "/articles/data-factory/monitor-metrics-alerts.md",
+            "redirect_url": "/azure/data-factory/monitor-data-factory",
+            "redirect_document_id": false
+          },
+          {
+            "source_path_from_root": "/articles/data-factory/monitor-configure-diagnostics.md",
+            "redirect_url": "/azure/data-factory/monitor-data-factory",
+            "redirect_document_id": false
+          },
           {
             "source_path_from_root": "/articles/data-factory/connector-troubleshoot-google-adwords.md",
             "redirect_url": "/azure/data-factory/connector-troubleshoot-google-ads",

articles/data-factory/TOC.yml

@@ -898,18 +898,12 @@ items:
       displayName: user properties
     - name: Monitor with Azure Monitor
       items:
-      - name: Overview
-        href: monitor-using-azure-monitor.md
-      - name: Azure Data Factory metrics and alerts
-        href: monitor-metrics-alerts.md
-      - name: Configure diagnostics settings and workspace
-        href: monitor-configure-diagnostics.md
-      - name: Setup diagnostics logs via the Azure Monitor REST API
+      - name: Monitor
+        href: monitor-data-factory.md
+      - name: Set up diagnostics logs via the Azure Monitor REST API
         href: monitor-logs-rest.md
       - name: Monitor SSIS operations with Azure Monitor
         href: monitor-ssis.md
-      - name: Schema of logs and events
-        href: monitor-schema-logs-events.md
     - name: Monitor with SDKs
       href: monitor-programmatically.md
     - name: Pipeline failure and error handling
@@ -955,9 +949,9 @@ items:
         - name: Diagnostic tool for self-hosted integration runtime
           href: self-hosted-integration-runtime-diagnostic-tool.md
           displayName: self hosted
-        - name: Monitoring self-hosted integration runtime in Azure
+        - name: Monitor self-hosted integration runtime in Azure
           href: monitor-shir-in-azure.md
-        - name: Configuring self-hosted integration runtime for log analytics collection
+        - name: Configure self-hosted integration runtime for log analytics collection
           href: how-to-configure-shir-for-log-analytics-collection.md
       displayName: self hosted, runtime
     - name: Azure-SSIS integration runtime
@@ -1377,6 +1371,10 @@ items:
     href: /cli/azure/datafactory
   - name: Compute optimized data flows retired
     href: compute-optimized-data-flow-retire.md
+  - name: Monitoring data reference
+    href: monitor-data-factory-reference.md
+  - name: Schema of logs and events
+    href: monitor-schema-logs-events.md
 - name: Resources
   items:
   - name: Whitepapers

articles/data-factory/monitor-configure-diagnostics.md

@@ -44,15 +44,25 @@ There are several ways to monitor Azure Data Factory.
 
 ### Azure Data Factory Studio
 
-You can monitor all of your Data Factory pipeline runs natively in the Azure Data Factory Studio user experience. To open the monitoring experience, select **Launch Studio** from your Azure portal Data Factory page. If you're already in Azure Data Factory Studio, select **Monitor** from the left menu. For more information about monitoring in Azure Data Factory Studio, see [Visually monitor Azure Data Factory](monitor-visually.md).
+You can monitor all of your Data Factory pipeline runs natively in Azure Data Factory Studio. To open the monitoring experience, select **Launch Studio** from your Azure portal Data Factory page. In Azure Data Factory Studio, select **Monitor** from the left menu. 
+
+For more information about monitoring in Azure Data Factory Studio, see the following articles:
+
+- [Visually monitor Azure Data Factory](monitor-visually.md)
+- [Data flow monitoring](concepts-data-flow-monitoring.md)
+- [Monitor copy activity](copy-activity-monitoring.md)
+- [Session log in a Copy activity](copy-activity-log.md)
 
 ### Azure portal
 
-Some metrics appear on your Azure Data Factory **Overview** page in the Azure portal. To access full Azure Monitor monitoring capabilities, select **Alerts**, **Metrics**, **Diagnostic settings**, or **Logs** in the **Monitoring** section of the left menu.
+Several metrics graphs appear on the **Overview** page for your Data Factory in the Azure portal. To access Azure Monitor monitoring capabilities, select **Alerts**, **Metrics**, **Diagnostic settings**, or **Logs** from the **Monitoring** section of the left menu on the Data Factory page. This article describes the Azure Monitor monitoring capabilities for Data Factory.
 
 ### Monitor programmatically
 
-You can monitor pipelines programmatically by using .NET, PowerShell, Python, or the REST API. For more information, see [Programmatically monitor Azure Data Factory](monitor-programmatically.md).
+You can monitor Data Factory pipelines programmatically by using .NET, PowerShell, Python, or the REST API. For more information, see the following articles:
+
+- [Programmatically monitor Azure Data Factory](monitor-programmatically.md)
+- [Set up diagnostics logs via the Azure Monitor REST API](monitor-logs-rest.md)
 
 ## Monitor integration runtimes
 
@@ -67,6 +77,8 @@ Azure Monitor collects metrics and diagnostics logs for all types of integration
 
 - [Monitor an integration runtime in Azure Data Factory](monitor-integration-runtime.md)
 - [Monitor an integration runtime within a managed virtual network](monitor-managed-virtual-network-integration-runtime.md)
+- [Monitor self-hosted integration runtime in Azure](monitor-shir-in-azure.md)
+- [Configure self-hosted integration runtime for log analytics collection](how-to-configure-shir-for-log-analytics-collection.md)
 - [Monitor SSIS operations with Azure Monitor](monitor-ssis.md)
 - [Diagnostics logs and metrics for Managed Airflow](how-to-diagnostic-logs-and-metrics-for-managed-airflow.md)