link edits

Author: GitHubber17

articles/ai-services/openai/how-to/monitoring.md

@@ -14,7 +14,7 @@ ms.date: 09/06/2023
 
 When you have critical applications and business processes that rely on Azure resources, you want to monitor those resources for their availability, performance, and operation.
 
-This article describes the monitoring data generated by Azure OpenAI Service. Azure OpenAI is part of Azure AI services, which uses [Azure Monitor](/azure/azure-monitor/overview.md). If you're unfamiliar with the features of Azure Monitor that are common to all Azure services that use the service, see [Monitoring Azure resources with Azure Monitor](/azure/azure-monitor/essentials/monitor-azure-resource.md).
+This article describes the monitoring data generated by Azure OpenAI Service. Azure OpenAI is part of Azure AI services, which uses [Azure Monitor](../../../azure-monitor/monitor-reference.md). If you're unfamiliar with the features of Azure Monitor that are common to all Azure services that use the service, see [Monitoring Azure resources with Azure Monitor](../../../azure-monitor/essentials/monitor-azure-resource.md).
 
 ## Data collection and routing in Azure Monitor
 
@@ -30,7 +30,7 @@ The metrics and logs that you can collect are described in the following section
 
 ## Analyze metrics
 
-You can analyze metrics for your Azure OpenAI Service resources with Azure Monitor tools in the Azure portal. From the **Overview** page for your Azure OpenAI resource, select **Metrics** under **Monitoring** in the left pane. For more information, see [Get started with Azure Monitor metrics explorer](/azure-monitor/essentials/metrics-getting-started.md).
+You can analyze metrics for your Azure OpenAI Service resources with Azure Monitor tools in the Azure portal. From the **Overview** page for your Azure OpenAI resource, select **Metrics** under **Monitoring** in the left pane. For more information, see [Get started with Azure Monitor metrics explorer](../../../azure-monitor/essentials/metrics-getting-started.md).
 
 :::image type="content" source="../media/monitoring/monitor-metrics-azure-portal.png" alt-text="Screenshot that shows how to monitor and analyze metrics data for an Azure OpenAI resource in the Azure portal." lightbox="../media/monitoring/monitor-metrics-azure-portal.png" border="false":::
 
@@ -59,9 +59,9 @@ This table summarizes the current subset of metrics available in Azure OpenAI. A
 
 Data in Azure Monitor Logs is stored in tables where each table has its own set of unique properties.
 
-All resource logs in Azure Monitor have the same fields followed by service-specific fields. For information about the common schema, see [Common and service-specific schemas for Azure resource logs](/azure/azure-monitor/essentials/resource-logs-schema.md).
+All resource logs in Azure Monitor have the same fields followed by service-specific fields. For information about the common schema, see [Common and service-specific schemas for Azure resource logs](../../../azure-monitor/essentials/resource-logs-schema.md).
 
-The [activity log](/azure/azure-monitor/essentials/activity-log.md) is a type of platform log in Azure that provides insight into subscription-level events. You can view this log independently or route it to Azure Monitor Logs. In the Azure portal, you can use the activity log in Azure Monitor Logs to run complex queries with Log Analytics.
+The [activity log](../../../azure-monitor/essentials/activity-log.md) is a type of platform log in Azure that provides insight into subscription-level events. You can view this log independently or route it to Azure Monitor Logs. In the Azure portal, you can use the activity log in Azure Monitor Logs to run complex queries with Log Analytics.
 
 For a list of the types of resource logs available for Azure OpenAI and similar Azure AI services, see [Microsoft.CognitiveServices](/azure/role-based-access-control/resource-provider-operations#microsoftcognitiveservices) Azure resource provider operations.
 
@@ -103,7 +103,7 @@ The query returns a sample of 100 entries and displays a subset of the available
 :::image type="content" source="../media/monitoring/kusto-results-metrics.png" alt-text="Screenshot that shows the results of a Kusto query for Azure Metrics data about the Azure OpenAI resource" lightbox="../media/monitoring/kusto-results-metrics.png":::
 
 > [!NOTE]
-> When you select **Monitoring** > **Logs** in the Azure OpenAI menu for your resource, Log Analytics opens with the query scope set to the current resource. The visible log queries include data from that specific resource only. To run a query that includes data from other resources or data from other Azure services, select **Logs** from the **Azure Monitor** menu in the Azure portal. For more information, see [Log query scope and time range in Azure Monitor Log Analytics](/azure/azure-monitor/logs/scope.md) for details.
+> When you select **Monitoring** > **Logs** in the Azure OpenAI menu for your resource, Log Analytics opens with the query scope set to the current resource. The visible log queries include data from that specific resource only. To run a query that includes data from other resources or data from other Azure services, select **Logs** from the **Azure Monitor** menu in the Azure portal. For more information, see [Log query scope and time range in Azure Monitor Log Analytics](../../../azure-monitor/logs/scope.md) for details.
 
 ## Set up alerts
 
@@ -113,9 +113,9 @@ Every organization's alerting needs vary and can change over time. Generally, al
 
 Errors below certain thresholds can often be evaluated through regular analysis of data in Azure Monitor Logs. As you analyze your log data over time, you might discover that a certain condition doesn't occur for an expected period of time. You can track for this condition by using alerts. Sometimes the absence of an event in a log is just as important a signal as an error.
 
-Depending on what type of application you're developing with your use of Azure OpenAI, [Azure Monitor Application Insights](/azure/azure-monitor/overview.md) might offer more monitoring benefits at the application layer.
+Depending on what type of application you're developing with your use of Azure OpenAI, [Azure Monitor Application Insights](../../../azure-monitor/overview.md) might offer more monitoring benefits at the application layer.
 
 ## Next steps
 
-- [Monitor Azure resources with Azure Monitor](/azure/azure-monitor/essentials/monitor-azure-resource.md)
-- [Understand log searches in Azure Monitor logs](/azure/azure-monitor/logs/log-query-overview.md)
+- [Monitor Azure resources with Azure Monitor](../../../azure-monitor/essentials/monitor-azure-resource.md)
+- [Understand log searches in Azure Monitor logs](../../../azure-monitor/logs/log-query-overview.md)