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articles/aks/cluster-autoscaler.md

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The cluster autoscaler may be unable to scale down if pods can't move, such as in the following situations:
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* A pod is directly created and isn't backed by a controller object, such as a deployment or replica set.
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* A pod disruption budget (PDB) is too restrictive and doesn't allow the number of pods to be fall below a certain threshold.
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* A pod disruption budget (PDB) is too restrictive and doesn't allow the number of pods to fall below a certain threshold.
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* A pod uses node selectors or anti-affinity that can't be honored if scheduled on a different node.
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For more information about how the cluster autoscaler may be unable to scale down, see [What types of pods can prevent the cluster autoscaler from removing a node?][autoscaler-scaledown].

articles/cosmos-db/emulator-command-line-parameters.md

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| `Shutdown` | Shuts down the emulator. | `Microsoft.Azure.Cosmos.Emulator.exe /Shutdown` |
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| `DataPath` | Specifies the path in which to store data files. The default value is `%LocalAppdata%\CosmosDBEmulator`. | `Microsoft.Azure.Cosmos.Emulator.exe /DataPath=E:\SomeDataFolder` |
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| `Port` | Specifies the port number to use for the emulator. The default value is `8081`. | `Microsoft.Azure.Cosmos.Emulator.exe /Port=65000` |
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| `ComputePort` | Specified the port number to use for the compute interop gateway service. The gateway's HTTP endpoint probe port is calculated as `ComputePort + 79`. Hence, `ComputePort` and `ComputePort + 79` must be open and available. The default value is `8900`. | `Microsoft.Azure.Cosmos.Emulator.exe /ComputePort=65100` |
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| `ComputePort` | Specifies the port number to use for the compute interop gateway service. The gateway's HTTP endpoint probe port is calculated as `ComputePort + 79`. Hence, `ComputePort` and `ComputePort + 79` must be open and available. The default value is `8900`. | `Microsoft.Azure.Cosmos.Emulator.exe /ComputePort=65100` |
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| `EnableMongoDbEndpoint=3.2` | Enables API for MongoDB version 3.2. | `Microsoft.Azure.Cosmos.Emulator.exe /EnableMongoDbEndpoint=3.2` |
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| `EnableMongoDbEndpoint=3.6` | Enables API for MongoDB version 3.6. | `Microsoft.Azure.Cosmos.Emulator.exe /EnableMongoDbEndpoint=3.6` |
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| `EnableMongoDbEndpoint=4.0` | Enables API for MongoDB version 4.0. | `Microsoft.Azure.Cosmos.Emulator.exe /EnableMongoDbEndpoint=4.0` |

articles/hdinsight/log-analytics-migration.md

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ms.topic: how-to
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ms.author: sairamyeturi
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author: yeturis
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ms.date: 11/17/2022
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ms.date: 03/21/2023
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# Log Analytics migration guide for Azure HDInsight clusters
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- Faster log delivery
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- Resource-based table grouping and default queries
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> [!NOTE]
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> New Azure Montitor integration is in Public Preview across all regions where HDInsight is available.
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**Insights cluster portal integration**: The **Insights** pane is also new to the HDInsight Cluster portal. After enabling the new Azure Monitor integration, you can select the **Insights** pane and an out-of-box logs and metrics dashboard specific to the cluster's type will automatically populate for you. These dashboards have been revamped from our previous Azure solutions. They give you deep insights into your cluster's performance and health.
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**At-scale insights**: You can use the new **At-Scale Insights** workbook in the **Azure Monitor** portal to monitor your clusters' health and performance across different subscriptions.
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## Customer scenarios
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The following sections describe how customers can use the new Azure Monitor integration in different scenarios. The [Activate a new Azure Monitor integration](#activate-a-new-azure-monitor-integration) section outlines how to activate and use the new Azure Monitor integration. The [Migrating from Azure Monitor Classic to the new Azure Monitor Integration](#migrate-to-the-new-azure-monitor-integration) section includes additional information for users that depend on the old Azure Monitor integration.
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You can create your own Azure workbooks with custom graphs and visualizations. In your cluster's portal page, scroll down to the **Monitoring** section and select the **Workbooks** pane in the menu on the left. You can either start using a blank template or use one of the templates under the **HDInsight Clusters** section. There's a template for each cluster type. Templates are useful if you want to save specific customizations that the default HDInsight Insights don't provide. Feel free to send in requests for new features in the HDInsight Insights if you feel they're lacking something.
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#### At-scale workbooks for new Azure Monitor integrations
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Use our new at-scale workbook to get a multi-cluster monitoring experience for your clusters. Our at-scale workbook shows you which of your clusters have the monitoring pipeline enabled. The workbook also gives you a straightforward way to check the health of multiple clusters at once. To view this workbook:
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1. Go to the **Azure Monitor** page in from the Azure portal home page
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2. Once on the **Azure Monitor** page, select **Insights Hub** under the **Insights** section.
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3. Select **HDInsight Clusters** under the **Analytics** section.
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:::image type="content" source="./media/log-analytics-migration/at-scale-workbook.png" lightbox="./media/log-analytics-migration/at-scale-workbook.png" alt-text="Screenshot that shows the at-scale workbook." border="false":::
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#### Alerts
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You can add custom alerts to your clusters and workspaces in the Log query editor. Go to the Logs query editor by selecting the **Logs** pane from either your cluster or workspace portal. Run a query and then select **New Alert Rule** as shown in the following screenshot. For more information, read about [configuring alerts](../azure-monitor/alerts/alerts-log.md).
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#### Out-of-box dashboards
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We also improved the out-of-box dashboards both at the cluster-level. There's a button on the top right of every graph that allows you to see the underlying query that produces the information. The graph is a great way to familiarize yourself with how the new tables can be queried effectively. You can access the out-of-box dashboards by following the instructions that you'll find in the [Insights](#insights) and [At-scale workbooks for new Azure Monitor integrations](#at-scale-workbooks-for-new-azure-monitor-integrations) sections.
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### Use an HDInsight at-scale monitoring dashboard
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If you're using the out-of-box monitoring dashboard for HDInsight clusters like HDInsight Spark Monitoring and HDInsight Interactive Monitoring, we're working to provide you the same capabilities on the Azure Monitor portal.
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You'll see that there's an HDInsight clusters option in Azure Monitor.
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:::image type="content" source="./media/log-analytics-migration/hdinsight-azure-monitor.png" lightbox="./media/log-analytics-migration/hdinsight-azure-monitor.png" alt-text="Screenshot that shows the HDInsight option in Azure Monitor." border="false":::
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The Azure Monitor portal's Insights Hub provides you the capability of monitoring multiple HDInsight clusters in one place. We organize the clusters based on the workload type, so you see types like Spark, HBase, and Hive. Instead of going to multiple dashboards, now you can monitor all your HDInsight clusters in this view.
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> [!NOTE]
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> For more information, see the [Insights](#insights) and [At-scale workbooks for new Azure Monitor integrations](#at-scale-workbooks-for-new-azure-monitor-integrations) sections in this article.
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We also improved the out-of-box dashboards both at the cluster-level. There's a button on the top right of every graph that allows you to see the underlying query that produces the information. The graph is a great way to familiarize yourself with how the new tables can be queried effectively.
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## Enable both integrations to accelerate the migration
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