Merge pull request #106184 from Minewiskan/aas-autoscale

Aas autoscale

Author: PRMerger12

articles/analysis-services/analysis-services-logging.md

@@ -11,7 +11,7 @@ ms.reviewer: minewiskan
 ---
 # Setup diagnostic logging
 
-An important part of any Analysis Services solution is monitoring how your servers are performing. With [Azure resource diagnostic logs](../azure-monitor/platform/platform-logs-overview.md), you can monitor and send logs to [Azure Storage](https://azure.microsoft.com/services/storage/), stream them to [Azure Event Hubs](https://azure.microsoft.com/services/event-hubs/), and export them to [Azure Monitor logs](../azure-monitor/azure-monitor-log-hub.md).
+An important part of any Analysis Services solution is monitoring how your servers are performing. With [Azure resource logs](../azure-monitor/platform/platform-logs-overview.md), you can monitor and send logs to [Azure Storage](https://azure.microsoft.com/services/storage/), stream them to [Azure Event Hubs](https://azure.microsoft.com/services/event-hubs/), and export them to [Azure Monitor logs](../azure-monitor/azure-monitor-log-hub.md).
 
 ![Diagnostic logging to Storage, Event Hubs, or Azure Monitor logs](./media/analysis-services-logging/aas-logging-overview.png)
 

articles/analysis-services/analysis-services-samples.md

@@ -21,6 +21,9 @@ The [Analysis Services](https://github.com/Microsoft/Analysis-Services) reposito
 
 [Adventure Works for Analysis Services](https://github.com/Microsoft/sql-server-samples/releases/tag/adventureworks-analysis-services) on GitHub is the most commonly used sample tabular model project. You can download a VS project or a completed sample tabular model database.
 
+## Sample database on Azure
+
+Azure Synapse Analytics (SQL Data Warehouse) provides a sample AdventureWorksDW database that can be included in a provisioned resource. To learn more, see [Quickstart: Create and query an Azure Synapse Analytics SQL pool](/azure/sql-data-warehouse/create-data-warehouse-portal).
 
 ## Sample databases on GitHub
 

articles/analysis-services/analysis-services-scale-out.md

@@ -4,7 +4,7 @@ description: Replicate Azure Analysis Services servers with scale-out. Client qu
 author: minewiskan
 ms.service: azure-analysis-services
 ms.topic: conceptual
-ms.date: 01/16/2020
+ms.date: 03/02/2020
 ms.author: owend
 ms.reviewer: minewiskan
 
@@ -69,19 +69,23 @@ For maximum performance for both processing and query operations, you can choose
 
 ## Monitor QPU usage
 
-To determine if scale-out for your server is necessary, monitor your server in Azure portal by using Metrics. If your QPU regularly maxes out, it means the number of queries against your models is exceeding the QPU limit for your plan. The Query pool job queue length metric also increases when the number of queries in the query thread pool queue exceeds available QPU. 
+To determine if scale-out for your server is necessary, [monitor your server](analysis-services-monitor.md) in Azure portal by using Metrics. If your QPU regularly maxes out, it means the number of queries against your models is exceeding the QPU limit for your plan. The Query pool job queue length metric also increases when the number of queries in the query thread pool queue exceeds available QPU. 
 
 Another good metric to watch is average QPU by ServerResourceType. This metric compares average QPU for the primary server with the query pool. 
 
 ![Query scale out metrics](media/analysis-services-scale-out/aas-scale-out-monitor.png)
 
-### To configure QPU by ServerResourceType
+**To configure QPU by ServerResourceType**
+
 1. In a Metrics line chart, click **Add metric**. 
 2. In **RESOURCE**, select your server, then in **METRIC NAMESPACE**, select **Analysis Services standard metrics**, then in **METRIC**, select **QPU**, and then in **AGGREGATION**, select **Avg**. 
 3. Click **Apply Splitting**. 
 4. In **VALUES**, select **ServerResourceType**.  
 
-To learn more, see [Monitor server metrics](analysis-services-monitor.md).
+### Detailed diagnostic logging
+
+Use Azure Monitor Logs for more detailed diagnostics of scaled out server resources. With logs, you can use Log Analytics queries to break out QPU and memory by server and replica. To learn more, see example queries in [Analysis Services diagnostics logging](analysis-services-logging.md#example-queries).
+
 
 ## Configure scale-out