edit pass: autoscale-articles-batch-2

Author: paulth1

articles/azure-monitor/autoscale/autoscale-best-practices.md

@@ -1,6 +1,6 @@
 ---
 title: Best practices for autoscale
-description: Autoscale patterns in Azure for Web Apps, Azure Virtual Machine Scale Sets, and Azure Cloud Services.
+description: Autoscale patterns in the Web Apps feature of Azure App Service, Azure Virtual Machine Scale Sets, and Azure Cloud Services.
 author: EdB-MSFT
 ms.author: edbaynash
 ms.topic: conceptual
@@ -42,7 +42,7 @@ When you use a scale-in and scale-out rule, ideally use the same metric to contr
 In this example, you can have a situation in which the memory usage is over 90% but the CPU usage is under 45%. This scenario can lead to flapping for as long as both conditions are met.
 
 ### Choose the appropriate statistic for your diagnostics metric
-For diagnostics metrics, you can choose among *Average*, *Minimum*, *Maximum*, and *Total* as a metric to scale by. The most common statistic is *Average*.
+For diagnostics metrics, you can choose among **Average**, **Minimum**, **Maximum**, and **Total** as a metric to scale by. The most common statistic is **Average**.
 
 ### Considerations for scaling threshold values for special metrics
 For special metrics such as an Azure Storage or Azure Service Bus queue length metric, the threshold is the average number of messages available per current number of instances. Carefully choose the threshold value for this metric.

articles/azure-monitor/autoscale/autoscale-overview.md

@@ -11,7 +11,7 @@ ms.reviewer:
 
 ---
 
-# Overview of autoscale in Microsoft Azure
+# Overview of autoscale in Azure
 
 This article describes the autoscale feature in Azure Monitor and its benefits.
 
@@ -32,7 +32,7 @@ For example, scale out your application by adding VMs when the average CPU usage
 
 When the conditions in the rules are met, one or more autoscale actions are triggered, adding or removing VMs. You can also perform other actions like sending email, notifications, or webhooks to trigger processes in other systems.
 
-## Scaling out and scaling up
+## Scale out and scale up
 
 Autoscale scales in and out, which is an increase or decrease of the number of resource instances. Scaling in and out is also called horizontal scaling. For example, for a virtual machine scale set, scaling out means adding more virtual machines. Scaling in means removing virtual machines. Horizontal scaling is flexible in a cloud situation because you can use it to run a large number of VMs to handle load.
 
@@ -136,7 +136,7 @@ Autoscale supports the following services.
 | Web Apps feature of Azure App Service                                         | [Scaling Web Apps](autoscale-get-started.md)                                                                                                     |
 | Azure API Management service                      | [Automatically scale an Azure API Management instance](../../api-management/api-management-howto-autoscale.md)                                   |
 | Azure Data Explorer clusters                      | [Manage Azure Data Explorer clusters scaling to accommodate changing demand](/azure/data-explorer/manage-cluster-horizontal-scaling)             |
-| Azure Stream Analytics                            | [Autoscale streaming units (Preview)](../../stream-analytics/stream-analytics-autoscale.md)                                                      |
+| Azure Stream Analytics                            | [Autoscale streaming units (preview)](../../stream-analytics/stream-analytics-autoscale.md)                                                      |
 | Azure SignalR Service (Premium tier)              | [Automatically scale units of an Azure SignalR service](https://learn.microsoft.com/azure/azure-signalr/signalr-howto-scale-autoscale)                                                      |
 | Azure Machine Learning workspace                  | [Autoscale an online endpoint](../../machine-learning/how-to-autoscale-endpoints.md)                                                             |
 | Azure Spring Apps                                 | [Set up autoscale for applications](../../spring-apps/how-to-setup-autoscale.md)                                                                 |

articles/azure-monitor/autoscale/autoscale-understanding-settings.md

@@ -1,6 +1,6 @@
 ---
 title: Understand autoscale settings in Azure Monitor
-description: This article explains autoscale settings, how they work, and how they apply to Azure Virtual Machines, Azure Cloud Services, and the Web Apps feature of Azure Monitor.
+description: This article explains autoscale settings, how they work, and how they apply to Azure Virtual Machines, Azure Cloud Services, and the Web Apps feature of Azure App Service.
 author: EdB-MSFT
 ms.service: azure-monitor
 ms.topic: conceptual
@@ -238,7 +238,7 @@ There are three types of autoscale profiles:
                 }
 
     ```
-    
+
 ## Autoscale evaluation
 
 Autoscale settings can have multiple profiles. Each profile can have multiple rules. Each time the autoscale job runs, it begins by choosing the applicable profile for that time. Autoscale then evaluates the minimum and maximum values, any metric rules in the profile, and decides if a scale action is necessary. The autoscale job runs every 30 to 60 seconds, depending on the resource type.

articles/azure-monitor/autoscale/tutorial-autoscale-performance-schedule.md

@@ -30,7 +30,7 @@ If you don't have an Azure subscription, create a [free](https://azure.microsoft
 Sign in to the [Azure portal](https://portal.azure.com/).
 
 ## Create a web app and App Service plan
-1. In the navigation pane on the left, select **Create a resource**.
+1. On the menu on the left, select **Create a resource**.
 1. Search for and select the **Web App** item and select **Create**.
 1. Select an app name like **MyTestScaleWebApp**. Create a new resource group **myResourceGroup** or place it into a resource group of your choosing.
 
@@ -39,7 +39,7 @@ Within a few minutes, your resources should be provisioned. Use the web app and
    ![Screenshot that shows creating a new app service in the portal.](./media/tutorial-autoscale-performance-schedule/Web-App-Create.png)
 
 ## Go to autoscale settings
-1. In the navigation pane on the left, select **Monitor**. Then select the **Autoscale** tab.
+1. On the menu on the left, select **Monitor**. Then select the **Autoscale** tab.
 1. A list of the resources under your subscription that support autoscale are listed here. Identify the App Service plan that was created earlier in the tutorial, and select it.
 
     ![Screenshot shows the Azure portal with Monitor and Autoscale selected.](./media/tutorial-autoscale-performance-schedule/monitor-blade-autoscale.png)
@@ -117,7 +117,7 @@ To trigger the scale-out condition in the autoscale setting you created, the web
 
 1. In quick succession, reload the page more than 10 times.
 
-1. In the navigation pane on the left, select **Monitor**. Then select the **Autoscale** tab.
+1. On the menu on the left, select **Monitor**. Then select the **Autoscale** tab.
 
 1. From the list, select the App Service plan used throughout this tutorial.
 
@@ -134,7 +134,7 @@ The scale-in condition in the autoscale setting triggers if there are fewer than
 
 1. Load the Azure portal.
 
-1. In the navigation pane on the left, select **Monitor**. Then select the **Autoscale** tab.
+1. On the menu on the left, select **Monitor**. Then select the **Autoscale** tab.
 
 1. From the list, select the App Service plan used throughout this tutorial.
 
@@ -158,14 +158,6 @@ The scale-in condition in the autoscale setting triggers if there are fewer than
 
 ## Next steps
 
-In this tutorial, you:
-> [!div class="checklist"]
-> * Created a web app and App Service plan.
-> * Configured autoscale rules for scale-in and scale-out based on the number of requests the web app received.
-> * Triggered a scale-out action and watched the number of instances increase.
-> * Triggered a scale-in action and watched the number of instances decrease.
-> * Cleaned up your resources.
-
 To learn more about autoscale settings, continue on to the [autoscale overview](../autoscale/autoscale-overview.md).
 
 > [!div class="nextstepaction"]