Merge pull request #115794 from craigcaseyMSFT/vcraic0518

ttorble · web-flow · commit 92a6bf0f4548 · 2020-05-20T08:35:40.000+01:00
fix broken links from OPS report
diff --git a/.openpublishing.redirection.json b/.openpublishing.redirection.json
@@ -17809,12 +17809,12 @@
     },
     {
       "source_path": "articles/synapse-analytics/quickstart-create-apache-spark-pool.md",
-      "redirect_url": "/synapse-analytics/quickstart-create-apache-spark-pool-portal",
+      "redirect_url": "/azure/synapse-analytics/quickstart-create-apache-spark-pool-portal",
       "redirect_document_id": false
     },
     {
       "source_path": "articles/synapse-analytics/quickstart-create-sql-pool.md",
-      "redirect_url": "azure/synapse-analytics/quickstart-create-sql-pool-portal",
+      "redirect_url": "/azure/synapse-analytics/quickstart-create-sql-pool-portal",
       "redirect_document_id": false
     },
     {
diff --git a/articles/azure-monitor/app/app-insights-overview.md b/articles/azure-monitor/app/app-insights-overview.md
@@ -45,7 +45,7 @@ There are plenty of ways to explore your data. Check out these articles:
 
 |  |  |
 | --- | --- |
-| [**Smart detection and manual alerts**](../../azure-monitor/app/proactive-diagnostics.md)<br/>Set up automatic alerts that adapt to your app's normal patterns of telemetry and trigger when there's something outside the usual pattern. You can also [set alerts](../../azure-monitor/app/alerts.md) on particular levels of custom or standard metrics. |![Alert sample](./media/app-insights-overview/alerts-tn.png) |
+| [**Smart detection and manual alerts**](../../azure-monitor/app/proactive-diagnostics.md)<br/>Set up automatic alerts that adapt to your app's normal patterns of telemetry and trigger when there's something outside the usual pattern. You can also [set alerts](../../azure-monitor/platform/alerts-log.md) on particular levels of custom or standard metrics. |![Alert sample](./media/app-insights-overview/alerts-tn.png) |
 | [**Application map**](../../azure-monitor/app/app-map.md)<br/>Explore the components of your app, with key metrics and alerts. |![Application map](./media/app-insights-overview/appmap-tn.png)  |
 | [**Profiler**](../../azure-monitor/app/profiler.md)<br/>Inspect the execution profiles of sampled requests. |![Profiler](./media/app-insights-overview/profiler.png) |
 | [**Usage analysis**](../../azure-monitor/app/usage-overview.md)<br/>Analyze user segmentation and retention.|![Retention tool](./media/app-insights-overview/retention.png) |
diff --git a/articles/azure-monitor/app/asp-net.md b/articles/azure-monitor/app/asp-net.md
@@ -135,7 +135,7 @@ There are alternative topics to look at if you are interested in:
 
 * [Availability tests](../../azure-monitor/app/monitor-web-app-availability.md): Create tests to make sure your site is visible on the web.
 * [Smart diagnostics](../../azure-monitor/app/proactive-diagnostics.md): These tests run automatically, so you don't have to do anything to set them up. They tell you if your app has an unusual rate of failed requests.
-* [Metric alerts](../../azure-monitor/app/alerts.md): Set alerts to warn you if a metric crosses a threshold. You can set them on custom metrics that you code into your app.
+* [Metric alerts](../../azure-monitor/platform/alerts-log.md): Set alerts to warn you if a metric crosses a threshold. You can set them on custom metrics that you code into your app.
 
 ### Automation
 
diff --git a/articles/azure-monitor/app/eventcounters.md b/articles/azure-monitor/app/eventcounters.md
@@ -120,7 +120,7 @@ customMetrics
 Like other telemetry, **customMetrics** also has a column `cloud_RoleInstance` that indicates the identity of the host server instance on which your app is running. The above query shows the counter value per instance, and can be used to compare performance of different server instances.
 
 ## Alerts
-Like other metrics, you can [set an alert](../../azure-monitor/app/alerts.md) to warn you if an event counter goes outside a limit you specify. Open the Alerts pane and click Add Alert.
+Like other metrics, you can [set an alert](../../azure-monitor/platform/alerts-log.md) to warn you if an event counter goes outside a limit you specify. Open the Alerts pane and click Add Alert.
 
 ## Frequently asked questions
 
diff --git a/articles/azure-monitor/app/how-do-i.md b/articles/azure-monitor/app/how-do-i.md
@@ -12,7 +12,7 @@ ms.date: 04/04/2017
 Set an [availability web test](../../azure-monitor/app/monitor-web-app-availability.md).
 
 ### Email if my site is overloaded
-Set an [alert](../../azure-monitor/app/alerts.md) on **Server response time**. A threshold between 1 and 2 seconds should work.
+Set an [alert](../../azure-monitor/platform/alerts-log.md) on **Server response time**. A threshold between 1 and 2 seconds should work.
 
 ![](./media/how-do-i/030-server.png)
 
@@ -22,10 +22,10 @@ If you want to set an alert on **Server exceptions**, you might have to do [some
 
 ### Email on exceptions
 1. [Set up exception monitoring](../../azure-monitor/app/asp-net-exceptions.md)
-2. [Set an alert](../../azure-monitor/app/alerts.md) on the Exception count metric
+2. [Set an alert](../../azure-monitor/platform/alerts-log.md) on the Exception count metric
 
 ### Email on an event in my app
-Let's suppose you'd like to get an email when a specific event occurs. Application Insights doesn't provide this facility directly, but it can [send an alert when a metric crosses a threshold](../../azure-monitor/app/alerts.md).
+Let's suppose you'd like to get an email when a specific event occurs. Application Insights doesn't provide this facility directly, but it can [send an alert when a metric crosses a threshold](../../azure-monitor/platform/alerts-log.md).
 
 Alerts can be set on [custom metrics](../../azure-monitor/app/api-custom-events-metrics.md#trackmetric), though not custom events. Write some code to increase a metric when the event occurs:
 
@@ -61,11 +61,11 @@ Some points to consider:
 * Since emails are sent both on "alert" and "healthy", you might want to consider re-thinking your one-shot event as a two-state condition. For example, instead of a "job completed" event, have a "job in progress" condition, where you get emails at the start and end of a job.
 
 ### Set up alerts automatically
-[Use PowerShell to create new alerts](../../azure-monitor/app/alerts.md#automation)
+[Use PowerShell to create new alerts](../../azure-monitor/platform/alerts-log.md)
 
 ## Use PowerShell to Manage Application Insights
 * [Create new resources](https://docs.microsoft.com/azure/azure-monitor/app/create-new-resource#creating-a-resource-automatically)
-* [Create new alerts](../../azure-monitor/app/alerts.md#automation)
+* [Create new alerts](../../azure-monitor/platform/alerts-log.md)
 
 ## Separate telemetry from different versions
 
diff --git a/articles/azure-monitor/app/opencensus-python.md b/articles/azure-monitor/app/opencensus-python.md
@@ -458,4 +458,4 @@ For more detailed information about how to use queries and logs, see [Logs in Az
 
 * [Availability tests](../../azure-monitor/app/monitor-web-app-availability.md): Create tests to make sure your site is visible on the web.
 * [Smart diagnostics](../../azure-monitor/app/proactive-diagnostics.md): These tests run automatically, so you don't have to do anything to set them up. They tell you if your app has an unusual rate of failed requests.
-* [Metric alerts](../../azure-monitor/app/alerts.md): Set alerts to warn you if a metric crosses a threshold. You can set them on custom metrics that you code into your app.
+* [Metric alerts](../../azure-monitor/platform/alerts-log.md): Set alerts to warn you if a metric crosses a threshold. You can set them on custom metrics that you code into your app.
diff --git a/articles/azure-monitor/app/performance-counters.md b/articles/azure-monitor/app/performance-counters.md
@@ -143,7 +143,7 @@ Support for performance counters in ASP.NET Core is limited:
 * SDK Versions 2.8.0 and later support cpu/memory counter in Linux. No other counter is supported in Linux. The recommended way to get system counters in Linux (and other non-Windows environments) is by using [EventCounters](eventcounters.md)
 
 ## Alerts
-Like other metrics, you can [set an alert](../../azure-monitor/app/alerts.md) to warn you if a performance counter goes outside a limit you specify. Open the Alerts pane and click Add Alert.
+Like other metrics, you can [set an alert](../../azure-monitor/platform/alerts-log.md) to warn you if a performance counter goes outside a limit you specify. Open the Alerts pane and click Add Alert.
 
 ## <a name="next"></a>Next steps
 
diff --git a/articles/azure-monitor/app/powershell-alerts.md b/articles/azure-monitor/app/powershell-alerts.md
@@ -10,7 +10,7 @@ ms.date: 10/31/2016
 
 [!INCLUDE [updated-for-az](../../../includes/updated-for-az.md)]
 
-You can automate the configuration of [alerts](../../azure-monitor/app/alerts.md) in [Application Insights](../../azure-monitor/app/app-insights-overview.md).
+You can automate the configuration of [alerts](../../azure-monitor/platform/alerts-log.md) in [Application Insights](../../azure-monitor/app/app-insights-overview.md).
 
 In addition, you can [set webhooks to automate your response to an alert](../../azure-monitor/platform/alerts-webhooks.md).
 
diff --git a/articles/azure-monitor/app/powershell.md b/articles/azure-monitor/app/powershell.md
@@ -10,7 +10,7 @@ ms.date: 05/02/2020
 
 [!INCLUDE [updated-for-az](../../../includes/updated-for-az.md)]
 
-This article shows you how to automate the creation and update of [Application Insights](../../azure-monitor/app/app-insights-overview.md) resources automatically by using Azure Resource Management. You might, for example, do so as part of a build process. Along with the basic Application Insights resource, you can create [availability web tests](../../azure-monitor/app/monitor-web-app-availability.md), set up [alerts](../../azure-monitor/app/alerts.md), set the [pricing scheme](pricing.md), and create other Azure resources.
+This article shows you how to automate the creation and update of [Application Insights](../../azure-monitor/app/app-insights-overview.md) resources automatically by using Azure Resource Management. You might, for example, do so as part of a build process. Along with the basic Application Insights resource, you can create [availability web tests](../../azure-monitor/app/monitor-web-app-availability.md), set up [alerts](../../azure-monitor/platform/alerts-log.md), set the [pricing scheme](pricing.md), and create other Azure resources.
 
 The key to creating these resources is JSON templates for [Azure Resource Manager](../../azure-resource-manager/management/manage-resources-powershell.md). The basic procedure is: download the JSON definitions of existing resources; parameterize certain values such as names; and then run the template whenever you want to create a new resource. You can package several resources together, to create them all in one go - for example, an app monitor with availability tests, alerts, and storage for continuous export. There are some subtleties to some of the parameterizations, which we'll explain here.
 
diff --git a/articles/azure-monitor/app/proactive-diagnostics.md b/articles/azure-monitor/app/proactive-diagnostics.md
@@ -55,6 +55,6 @@ These diagnostic tools help you inspect the telemetry from your app:
 
 Smart Detection is completely automatic. But maybe you'd like to set up some more alerts?
 
-* [Manually configured metric alerts](../../azure-monitor/app/alerts.md)
+* [Manually configured metric alerts](../../azure-monitor/platform/alerts-log.md)
 * [Availability web tests](../../azure-monitor/app/monitor-web-app-availability.md) 
 
diff --git a/articles/azure-monitor/app/proactive-failure-diagnostics.md b/articles/azure-monitor/app/proactive-failure-diagnostics.md
@@ -27,7 +27,7 @@ The alert details will tell you:
 * Links directly to relevant searches on the data in Application Insights.
 
 ## Benefits of Smart Detection
-Ordinary [metric alerts](../../azure-monitor/app/alerts.md) tell you there might be a problem. But Smart Detection starts the diagnostic work for you, performing much the analysis you would otherwise have to do yourself. You get the results neatly packaged, helping you to get quickly to the root of the problem.
+Ordinary [metric alerts](../../azure-monitor/platform/alerts-log.md) tell you there might be a problem. But Smart Detection starts the diagnostic work for you, performing much the analysis you would otherwise have to do yourself. You get the results neatly packaged, helping you to get quickly to the root of the problem.
 
 ## How it works
 Smart Detection monitors the data received from your app, and in particular the failure rates. This rule counts the number of requests for which the `Successful request` property is false, and the number of dependency calls for which the `Successful call` property is false. For requests, by default, `Successful request == (resultCode < 400)` (unless you have written custom code to [filter](../../azure-monitor/app/api-filtering-sampling.md#filtering) or generate your own [TrackRequest](../../azure-monitor/app/api-custom-events-metrics.md#trackrequest) calls). 
@@ -44,7 +44,7 @@ When your service is instrumented with these calls, the analyzer looks for an ex
 
 The resulting analysis is sent to you as alert, unless you have configured it not to.
 
-Like the [alerts you set manually](../../azure-monitor/app/alerts.md), you can inspect the state of the fired alert, which can be resolved if the issue is fixed. Configure the alert rules in the Alerts page of your Application Insights resource. But unlike other alerts, you don't need to set up or configure Smart Detection. If you want, you can disable it or change its target email addresses.
+Like the [alerts you set manually](../../azure-monitor/platform/alerts-log.md), you can inspect the state of the fired alert, which can be resolved if the issue is fixed. Configure the alert rules in the Alerts page of your Application Insights resource. But unlike other alerts, you don't need to set up or configure Smart Detection. If you want, you can disable it or change its target email addresses.
 
 ### Alert logic details
 
@@ -313,7 +313,7 @@ Click **Alerts** in the Application Insights resource page to get to the most re
 ## What's the difference ...
 Smart Detection of failure anomalies complements other similar but distinct features of Application Insights.
 
-* [Metric Alerts](../../azure-monitor/app/alerts.md) are set by you and can monitor a wide range of metrics such as CPU occupancy, request rates,  page load times, and so on. You can use them to warn you, for example, if you need to add more resources. By contrast, Smart Detection of failure anomalies covers a small range of critical metrics (currently only failed request rate), designed to notify you in near real-time manner once your web app's failed request rate increases compared to web app's normal behavior. Unlike metric alerts, Smart Detection automatically sets and updates thresholds in response changes in the behavior. Smart Detection also starts the diagnostic work for you, saving you time in resolving issues.
+* [Metric Alerts](../../azure-monitor/platform/alerts-log.md) are set by you and can monitor a wide range of metrics such as CPU occupancy, request rates,  page load times, and so on. You can use them to warn you, for example, if you need to add more resources. By contrast, Smart Detection of failure anomalies covers a small range of critical metrics (currently only failed request rate), designed to notify you in near real-time manner once your web app's failed request rate increases compared to web app's normal behavior. Unlike metric alerts, Smart Detection automatically sets and updates thresholds in response changes in the behavior. Smart Detection also starts the diagnostic work for you, saving you time in resolving issues.
 
 * [Smart Detection of performance anomalies](proactive-performance-diagnostics.md) also uses machine intelligence to discover unusual patterns in your metrics, and no configuration by you is required. But unlike Smart Detection of failure anomalies, the purpose of Smart  Detection of performance anomalies is to find segments of your usage manifold that might be badly served - for example, by specific pages on a specific type of browser. The analysis is performed daily, and if any result is found, it's likely to be much less urgent than an alert. By contrast, the analysis for failure anomalies is performed continuously on incoming application data, and you will be notified within minutes if server failure rates are greater than expected.
 
@@ -355,5 +355,5 @@ These diagnostic tools help you inspect the data from your app:
 
 Smart detections are automatic. But maybe you'd like to set up some more alerts?
 
-* [Manually configured metric alerts](../../azure-monitor/app/alerts.md)
+* [Manually configured metric alerts](../../azure-monitor/platform/alerts-log.md)
 * [Availability web tests](../../azure-monitor/app/monitor-web-app-availability.md)
diff --git a/articles/azure-monitor/app/proactive-performance-diagnostics.md b/articles/azure-monitor/app/proactive-performance-diagnostics.md
@@ -66,12 +66,12 @@ Emails about Smart Detections performance anomalies are limited to one email per
 * *Can I create my own anomaly detection rules or customize existing rules?*
 
   * Not yet, but you can:
-    * [Set up alerts](../../azure-monitor/app/alerts.md) that tell you when a metric crosses a threshold.
+    * [Set up alerts](/azure/azure-monitor/platform/alerts-log) that tell you when a metric crosses a threshold.
     * [Export telemetry](../../azure-monitor/app/export-telemetry.md) to a [database](../../azure-monitor/app/code-sample-export-sql-stream-analytics.md) or [to Power BI](../../azure-monitor/app/export-power-bi.md ), where you can analyze it yourself.
 * *How often is the analysis performed?*
 
   * We run the analysis daily on the telemetry from the previous day (full day in UTC timezone).
-* *So does this replace [metric alerts](../../azure-monitor/app/alerts.md)?*
+* *So does this replace [metric alerts](/azure/azure-monitor/platform/alerts-log)?*
   * No.  We don't commit to detecting every behavior that you might consider abnormal.
 
 
@@ -176,5 +176,5 @@ These diagnostic tools help you inspect the telemetry from your app:
 
 Smart detections are completely automatic. But maybe you'd like to set up some more alerts?
 
-* [Manually configured metric alerts](../../azure-monitor/app/alerts.md)
+* [Manually configured metric alerts](/azure/azure-monitor/platform/alerts-log)
 * [Availability web tests](../../azure-monitor/app/monitor-web-app-availability.md)
diff --git a/articles/service-fabric/service-fabric-diagnostics-common-scenarios.md b/articles/service-fabric/service-fabric-diagnostics-common-scenarios.md
@@ -129,7 +129,7 @@ Check these links for the full list of performance counters on Reliable [Service
 ## Next steps
 
 * [Look Up Common Code Package Activation Errors](./service-fabric-diagnostics-code-package-errors.md)
-* [Set up Alerts in AI](../azure-monitor/app/alerts.md) to be notified about changes in performance or usage
+* [Set up Alerts in AI](/azure/azure-monitor/platform/alerts-log) to be notified about changes in performance or usage
 * [Smart Detection in Application Insights](../azure-monitor/app/proactive-diagnostics.md) performs a proactive analysis of the telemetry being sent to AI to warn you of potential performance problems
 * Learn more about Azure Monitor logs [alerting](../log-analytics/log-analytics-alerts.md) to aid in detection and diagnostics.
 * For on-premises clusters, Azure Monitor logs offers a gateway (HTTP Forward Proxy) that can be used to send data to Azure Monitor logs. Read more about that in [Connecting computers without Internet access to Azure Monitor logs using the Log Analytics gateway](../azure-monitor/platform/gateway.md)
diff --git a/articles/service-fabric/service-fabric-diagnostics-event-analysis-appinsights.md b/articles/service-fabric/service-fabric-diagnostics-event-analysis-appinsights.md
@@ -69,5 +69,5 @@ Clicking **Analytics** will take you to the Application Insights Analytics porta
 
 ## Next steps
 
-* [Set up Alerts in AI](../azure-monitor/app/alerts.md) to be notified about changes in performance or usage
+* [Set up Alerts in AI](/azure/azure-monitor/platform/alerts-log) to be notified about changes in performance or usage
 * [Smart Detection in Application Insights](../azure-monitor/app/proactive-diagnostics.md) performs a proactive analysis of the telemetry being sent to Application Insights to warn you of potential performance problems
diff --git a/articles/stream-analytics/stream-analytics-manage-job.md b/articles/stream-analytics/stream-analytics-manage-job.md
diff --git a/articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-partner-business-intelligence.md b/articles/synapse-analytics/sql-data-warehouse/sql-data-warehouse-partner-business-intelligence.md
diff --git a/articles/synapse-analytics/sql/develop-storage-files-storage-access-control.md b/articles/synapse-analytics/sql/develop-storage-files-storage-access-control.md
diff --git a/articles/synapse-analytics/toc.yml b/articles/synapse-analytics/toc.yml

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`@@ -17809,12 +17809,12 @@`
`17809`	`17809`	`},`
`17810`	`17810`	`{`
`17811`	`17811`	`"source_path": "articles/synapse-analytics/quickstart-create-apache-spark-pool.md",`
`17812`		`- "redirect_url": "/synapse-analytics/quickstart-create-apache-spark-pool-portal",`
	`17812`	`+ "redirect_url": "/azure/synapse-analytics/quickstart-create-apache-spark-pool-portal",`
`17813`	`17813`	`"redirect_document_id": false`
`17814`	`17814`	`},`
`17815`	`17815`	`{`
`17816`	`17816`	`"source_path": "articles/synapse-analytics/quickstart-create-sql-pool.md",`
`17817`		`- "redirect_url": "azure/synapse-analytics/quickstart-create-sql-pool-portal",`
	`17817`	`+ "redirect_url": "/azure/synapse-analytics/quickstart-create-sql-pool-portal",`
`17818`	`17818`	`"redirect_document_id": false`
`17819`	`17819`	`},`
`17820`	`17820`	`{`