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Update LAB_11-Implement_Monitoring.md

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New Instructions/Lab/LAB_11-Implement_Monitoring.md
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@ -29,7 +29,7 @@ There is an interactive lab simulation that you might find useful for this topic
## Tasks ## Tasks
+ Task 1: Provision the lab environment. + Task 1: Provision the lab environment.
+ Task 2: Create the Azure activity log monitor. + Task 2: Create the Azure activity log alert.
+ Task 3: Trigger the alert. + Task 3: Trigger the alert.
+ Task 4: Add an alert processing rule to the alert. + Task 4: Add an alert processing rule to the alert.
+ Task 5: Use Log Analytics to locate the alert. + Task 5: Use Log Analytics to locate the alert.
@ -82,11 +82,11 @@ In this task, you will deploy a virtual machine that will be used to test monito
1. Select **VM Insights View**, and then select **Configure Insights**. 1. Select **VM Insights View**, and then select **Configure Insights**.
1. Select your virtual machine, and then **Enable**. 1. Select your virtual machine, and then **Enable** (twice).
1. It will take a few minutes for the agent to install and configure, proceed to the next step. 1. It will take a few minutes for the agent to install and configure, proceed to the next step.
## Task 2: Create the Azure activity log monitor ## Task 2: Create the Azure activity log alert
1. On the Azure portal search for and select **Monitor**. 1. On the Azure portal search for and select **Monitor**.
@ -214,13 +214,32 @@ Enter these settings for the scheduling of the alert processing rule:
1. Select **Review + create** to validate your input, then select **Create**. 1. Select **Review + create** to validate your input, then select **Create**.
## Task 6: Use Log Analytics to locate the alert ## Task 6: Use Azure Monitor to query the logs
1. In the portal, search for and select `Monitor`.
1. Select **Logs** and notice, in the query window, queries can be run against Application Insights, Log Anaylytics Workspaces, and Virtual Machines.
1. Select **Virtual machines**, and then in the **Count hearbeats** box select **Load to Editor**.
1. Review the KQL query structure. Notice this query is on the **Heartbeat** table. Other **Table** choices are shown in the right pane.
1. Click on **Time range** and notice you can adjust the time range manually.
1. Click **Run** to execute the query. Depending on the virtul machine usage, you may not find any records.
## Review the main points of the lab ## Review the main points of the lab
Congratulations on completing the lab. Here are the main takeaways for this lab. Congratulations on completing the lab. Here are the main takeaways for this lab.
+ Alerts help you detect and address issues before users notice there might be a problem with your infrastructure or application.
+ You can alert on any metric or log data source in the Azure Monitor data platform.
+ An alert rule monitors your data and captures a signal that indicates something is happening on the specified resource.
+ An alert is triggered if the conditions of the alert rule are met. Several actions (email, SMS, push, voice) can be initiated and sent to an action group.
+ +
## Cleanup your resources ## Cleanup your resources