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.openpublishing.redirection.json

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articles/api-management/api-management-howto-use-azure-monitor.md

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# Tutorial: Monitor published APIs

articles/api-management/monitor-api-management.md

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title: Monitor Azure API Management
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description: Learn how to monitor Azure API Management using Azure Monitor, including data collection, analysis, and alerting.
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With API analytics, analyze the usage and performance of the APIs in your API Management instance across several dimensions, including:
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- Time
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- Timeline
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- Geography
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- APIs
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- API operations
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- Products
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- Subscriptions
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- Users
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- Requests
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- Language models (for large language model APIs)
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API analytics provides data on requests, including failed and unauthorized requests. Geography values are based on IP address mapping. There can be a delay in the availability of analytics data.
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#### Azure Monitor-based dashboard
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To use the Azure Monitor-based dashboard, you need a Log Analytics workspace as a data source for API Management gateway logs.
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If you need to configure one, the following are brief steps to send gateway logs to a Log Analytics workspace. For more information, see [Tutorial: Monitor published APIs](api-management-howto-use-azure-monitor.md#resource-logs). This procedure is a one-time setup.
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If you need to configure one, the following are brief steps to send gateway logs to a Log Analytics workspace. For more information, see [Enable diagnostic setting for Azure Monitor logs](#enable-diagnostic-setting-for-azure-monitor-logs), later in this article. This procedure is a one-time setup.
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1. In the [Azure portal](https://portal.azure.com), navigate to your API Management instance.
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1. In the left-hand menu, under **Monitoring**, select **Diagnostic settings** > **+ Add diagnostic setting**.
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1. Enter a descriptive name for the diagnostic setting.
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1. In **Logs**, select **Logs related to ApiManagement Gateway**.
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> [!TIP]
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> To collect logs for large language model (LLM) APIs for display on the Azure Monitor-based dashboard, also select **Logs related to generative AI gateway**.
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1. In **Destination details**, select **Send to Log Analytics** and select a Log Analytics workspace in the same or a different subscription. If you need to create a workspace, see [Create a Log Analytics workspace](/azure/azure-monitor/logs/quick-create-workspace).
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1. Make sure **Resource specific** is selected as the destination table.
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1. Select **Save**.
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|API Management gateway | Requests processed by the API Management gateway, including HTTP methods, protocols, request and response bodies, headers, timings, error details, and cache involvement. | Adjust settings for all APIs, or override them for individual APIs.<br/><br/>In API Management instances configured with [workspaces](workspaces-overview.md), gateway logs can be collected individually for each workspace and aggregated for centralized access by the platform team. |
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|WebSocket connections | Events for [WebSocket API](websocket-api.md) connections, starting from the handshake until the connection is terminated. |
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|Developer portal usage | Requests that are received and processed by the API Management [developer portal](developer-portal-overview.md), including user authentication actions, views of API details, and API testing in the interactive test console.|
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| Generative AI gateway | Requests processed by the API Management gateway for large language model (LLM) REST APIs such as Azure OpenAI APIs, including token usage, models, and optionally details of request prompts and response completions. | Enable logging of request messages and/or response messages for specific LLM APIs.
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| Generative AI gateway | Requests processed by the API Management gateway for large language model (LLM) REST APIs such as Azure AI Foundry APIs, including token usage, models, and optionally details of request prompts and response completions. | Enable logging of request messages and/or response messages for specific LLM APIs.
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For more information, see [API Management monitoring data reference](monitor-api-management-reference.md).
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articles/azure-maps/routing-coverage.md

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articles/azure-netapp-files/application-volume-group-add-hosts.md

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Building a multiple-host SAP HANA database always starts with creating a volume group for the first host. To begin, you must create the first host in an SAP HANA multiple-host setup (see [Deploy the first SAP HANA host](application-volume-group-deploy-first-host.md)). After that, you can add additional HANA hosts by following steps in this article.
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[!INCLUDE [PowerShell & CLI call-out](includes/application-volume-group-powershell.md)]
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> [!IMPORTANT]
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> SAP recommends that you size the HANA shared volume to 1 x RAM of a HANA host for every four SAP HANA hosts of a multiple-host SAP HANA database. You might need to adjust the size for the shared volume you created with the initial host to adapt for the required capacity.
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articles/azure-netapp-files/application-volume-group-add-volume-secondary.md

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This article describes using application volume group to add volumes for an SAP HANA system as a secondary database in HANA System Replication (HSR).
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## HANA System Replication
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The HANA System Replication (HSR) functionality enables SAP HANA databases to synchronously or asynchronously replicate from a primary SAP HANA system to a secondary SAP HANA system. The HSR uses application-level synchronization. The primary and the secondary SAP HANA systems have the same storage requirements, except for the following differences:

articles/azure-netapp-files/application-volume-group-deploy-first-host.md

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All deployments start with the volumes for a single SAP HANA host. This is the case even for large, multiple-host installations. The shared, log-backup, and data-backup volumes are created only for the first host. All other hosts in a multiple-host environment share these volumes, and they add only data and log volumes for each additional host.
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This article describes how to deploy the first SAP HANA host using Azure NetApp Files application volume group for SAP HANA.
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## Before you begin

articles/azure-netapp-files/application-volume-group-disaster-recovery.md

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This article describes using an application volume group to add volumes for an SAP HANA system as a disaster recovery (DR) system. This configuration uses Azure NetApp Files cross-region replication (CRR) functionality.
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## CRR between source and destination HANA servers
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The Azure NetApp Files [cross-region replication](cross-region-replication-introduction.md) functionality enables you to replicate volumes between [supported cross-region replication pairs](cross-region-replication-introduction.md#supported-region-pairs). This functionality allows you to [replicate a volume](cross-region-replication-create-peering.md) from a source region to a volume on the destination region for disaster recovery (DR).

articles/azure-netapp-files/application-volume-group-manage-volumes-oracle.md

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You can manage a volume from its volume group. You can resize, delete, or change throughput for the volume.
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articles/azure-netapp-files/application-volume-group-manage-volumes.md

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You can manage a volume from its volume group. You can resize, delete, or change throughput for the volume.
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1. From your NetApp account, select **Application volume groups**. Select a volume group to display the volumes in the group.

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