delete redirect article

Author: PatrickFarley

articles/ai-services/.openpublishing.redirection.ai-services.json

@@ -360,6 +360,11 @@
       "redirect_url": "/azure/ai-services/computer-vision/",
       "redirect_document_id": false
     },
+    {
+     "source_path_from_root": "/articles/ai-services/computer-vision/spatial-analysis-logging.md",
+      "redirect_url": "/azure/ai-services/computer-vision/spatial-analysis-container",
+      "redirect_document_id": false
+    },
     {
       "source_path_from_root": "/articles/ai-services/document-intelligence/concept-document-intelligence-studio.md",
       "redirect_url": "/azure/ai-services/document-intelligence/studio-overview",

articles/ai-services/computer-vision/index.yml

@@ -136,9 +136,6 @@ conceptualContent:
         - itemType: concept
           text: Camera placement
           url: spatial-analysis-camera-placement.md
-        - itemType: concept
-          text: Logging and troubleshooting
-          url: spatial-analysis-logging.md
       footerLink:
         text: More
         url: intro-to-spatial-analysis-public-preview.md

articles/ai-services/computer-vision/spatial-analysis-camera-placement.md

@@ -157,5 +157,4 @@ Organic queues are lines that form organically. This style of queue is acceptabl
 
 <!--* [Deploy a People Counting web application](spatial-analysis-web-app.md)-->
 * [Configure Spatial Analysis operations](./spatial-analysis-operations.md)
-* [Logging and troubleshooting](spatial-analysis-logging.md)
 * [Zone and line placement guide](spatial-analysis-zone-line-placement.md)

articles/ai-services/computer-vision/spatial-analysis-container.md

@@ -101,7 +101,7 @@ Select **Create**. The IoT Hub resource creation may take a couple of minutes. A
 When the Edge compute role is set up on the Edge device, it creates two devices: an IoT device and an IoT Edge device. Both devices can be viewed in the IoT Hub resource. The Azure IoT Edge Runtime will already be running on the IoT Edge device.
 
 > [!NOTE]
-> * Currently only the Linux platform is supported for IoT Edge devices. For help troubleshooting the Azure Stack Edge device, see the [logging and troubleshooting](spatial-analysis-logging.md) article.
+> * Currently only the Linux platform is supported for IoT Edge devices.
 > * To learn more about how to configure an IoT Edge device to communicate through a proxy server, see [Configure an IoT Edge device to communicate through a proxy server](/azure/iot-edge/how-to-configure-proxy-support#azure-portal)
 
 ###  Enable MPS on Azure Stack Edge 
@@ -548,8 +548,6 @@ If you want to start consuming the output generated by the container, see the fo
 
 ## Troubleshooting
 
-If you encounter issues when starting or running the container, see [Telemetry and troubleshooting](spatial-analysis-logging.md) for steps for common issues. This article also contains information on generating and collecting logs and collecting system health.
-
 [!INCLUDE [Diagnostic container](../containers/includes/diagnostics-container.md)]
 
 ## Billing
@@ -572,6 +570,5 @@ In this article, you learned concepts and workflow for downloading, installing,
 
 <!--* [Deploy a People Counting web application](spatial-analysis-web-app.md)-->
 * [Configure Spatial Analysis operations](spatial-analysis-operations.md)
-* [Logging and troubleshooting](spatial-analysis-logging.md)
 * [Camera placement guide](spatial-analysis-camera-placement.md)
 * [Zone and line placement guide](spatial-analysis-zone-line-placement.md)

articles/ai-services/computer-vision/spatial-analysis-local.md

@@ -60,6 +60,5 @@ The Spatial Analysis module will start consuming video file and will continuousl
 
 <!--* [Deploy a People Counting web application](spatial-analysis-web-app.md)-->
 * [Configure Spatial Analysis operations](spatial-analysis-operations.md)
-* [Logging and troubleshooting](spatial-analysis-logging.md)
 * [Camera placement guide](spatial-analysis-camera-placement.md)
 * [Zone and line placement guide](spatial-analysis-zone-line-placement.md)

articles/ai-services/computer-vision/spatial-analysis-logging.md

@@ -1241,6 +1241,5 @@ In order to get the best performance and utilization of the GPUs, you can deploy
 ## Next steps
 
 <!--* [Deploy a People Counting web application](spatial-analysis-web-app.md)-->
-* [Logging and troubleshooting](spatial-analysis-logging.md)
 * [Camera placement guide](spatial-analysis-camera-placement.md)
 * [Zone and line placement guide](spatial-analysis-zone-line-placement.md)

articles/ai-services/computer-vision/spatial-analysis-operations.md

@@ -82,5 +82,4 @@ The following examples show poorly defined lines.
 
 <!--* [Deploy a People Counting web application](spatial-analysis-web-app.md)-->
 * [Configure Spatial Analysis operations](./spatial-analysis-operations.md)
-* [Logging and troubleshooting](spatial-analysis-logging.md)
 * [Camera placement guide](spatial-analysis-camera-placement.md)

articles/ai-services/computer-vision/spatial-analysis-zone-line-placement.md

@@ -418,8 +418,6 @@ items:
         href: spatial-analysis-local.md
       #- name: Deploy a people counting web app
       #  href: Spatial-analysis-web-app.md
-      - name: Logging and troubleshooting
-        href: spatial-analysis-logging.md
       - name: Zone and line placement
         href: spatial-analysis-zone-line-placement.md
       - name: Camera placement

articles/ai-services/computer-vision/toc.yml

@@ -20,7 +20,7 @@ Vehicle analysis is a set of capabilities that, when used with the Spatial Analy
 
 ## Prerequisites
 
-* To utilize the operations of vehicle analysis, you must first follow the steps to [install and run spatial analysis container](./spatial-analysis-container.md) including configuring your host machine, downloading and configuring your [DeploymentManifest.json](https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/ComputerVision/spatial-analysis/DeploymentManifest.json) file, executing the deployment, and setting up device [logging](spatial-analysis-logging.md). 
+* To utilize the operations of vehicle analysis, you must first follow the steps to [install and run spatial analysis container](./spatial-analysis-container.md) including configuring your host machine, downloading and configuring your [DeploymentManifest.json](https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/ComputerVision/spatial-analysis/DeploymentManifest.json) file, executing the deployment, and setting up device logging.
    * When you configure your [DeploymentManifest.json](https://github.com/Azure-Samples/cognitive-services-sample-data-files/blob/master/ComputerVision/spatial-analysis/DeploymentManifest.json) file, refer to the steps below to add the graph configurations for vehicle analysis to your manifest prior to deploying the container. Or, once the spatial analysis container is up and running, you may add the graph configurations and follow the steps to redeploy. The steps below will outline how to properly configure your container.
 * If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/free/?WT.mc_id=A261C142F) before you begin.