AZ-104-MicrosoftAzureAdministrator/New Instructions/Lab/LAB_11-Implement_Monitoring.md

lab

lab
title module Lab 11: Implement Monitoring Administer Monitoring

Lab 11 - Implement Monitoring

Student lab manual

Lab scenario

Your organization is planning to deploy a large number of virtual machines in Azure. To ensure that the IT team is ready to support the virtual machines, you decide to evaluate solutions that provide performance and configuration insight into VMs. As part of this evaluation, you plan to examine the capabilities of Azure Monitor, including Log Analytics.

Note: An interactive lab simulation is available that allows you to click through this lab at your own pace. You may find slight differences between the interactive simulation and the hosted lab, but the core concepts and ideas being demonstrated are the same.

Objectives

In this lab, you will:

• Task 1: Provision the lab environment
• Task 2: Register the Microsoft.Insights and Microsoft.AlertsManagement resource providers
• Task 3: Create and configure an Azure Log Analytics workspace and Azure Automation-based solutions
• Task 4: Review default monitoring settings of Azure virtual machines
• Task 5: Configure Azure virtual machine diagnostic settings
• Task 6: Review Azure Log Analytics functionality

Estimated timing: 30 minutes

Architecture diagram

Instructions

Exercise 1

Task 1: Provision the lab environment

In this task, you will deploy a virtual machine that will be used to test monitoring scenarios.

1. If necessary, download the \Allfiles\Labs\11\az104-11-vm-template.json and \Allfiles\Labs\11\az104-11-vm-parameters.json lab files to your computer.

2. Sign in to the Azure portal.

3. From the Azure portal, search for and select Deploy a custom template.

4. On the custom deployment page, select Build you own template in the editor.

5. On the edit template page, select Load file.

6. Locate and select the \Allfiles\Labs\11\az104-11-vm-template.json file and select Open.

7. Select Save.

8. On the custom deployment page, select Edit parameters.

9. On the edit parameters page, select Load file. Locate and select the \Allfiles\Labs\11\az104-11-vm-parameters.json file and select Open.

10. Select Save.

11. Use the following information to complete the custom deployment fields, leaving all other fields with their default values:

    Setting	Value
    Subscription	Your Azure subscription
    Resource group	az104-rg1 (If necessary, select Create new)
    Region	East US
    Username	Student
    Password	Provide a complex password

    

12. Select Review + Create, then select Create.

Task 2: Register the Microsoft.Insights and Microsoft.AlertsManagement resource providers.

In this task, you will ensure that the Insights and AlertsManagement resource providers are registered for the subscription. Resource providers are the underlying features that enable a service on a subscription. Most resource providers will automatically register when you deploy the first resource that is associated with that provider. However, registering the service first avoids any deployment errors that might occur from the provider not being registered.

1. From the Azure portal, search for and select Subscriptions.

2. In the list of subscription, click the name of your subscription.

3. On the subscrition page, in the Settings section, select Resource Providers.

4. In the resource provider filter, search for Microsoft.Insights.

5. Ensure that the Microsoft.Insights provider is registered. If it is not registered, select the provider and then select Register.

6. Repeat these steps for the Microsoft.AlertsManagement resource provider and ensure that it is registered.

Task 3: Create and configure an Azure Log Analytics workspace and Azure Automation-based solutions

In this task, you will create and configure an Azure Log Analytics workspace and Azure Automation-based solutions. Log Analytics is a logging and monitoring repository that captures metrics, diagnostics, and logging data in a central location. You can then use automation or Kusto Query Language (KQL) queries to work with the captured data.

Did you know? Kusto Query Language (KQL) is a powerful tool to explore your data and discover patterns, identify anomalies and outliers, create statistical modeling, and more.

1. In the Azure portal, search for and select Log Analytics workspaces and, on the Log Analytics workspaces blade, click + Create.

2. On the Basics tab of the Create Log Analytics workspace blade, enter the following settings, click Review + Create and then click Create:

   Settings	Value
   Subscription	the name of your Azure subscription
   Resource group	az104-rg1
   Log Analytics Workspace	az104-law1
   Region	East US (Ensure that this is the same region that you deployed the VM in from Task 1)

   Note

   : Wait for the deployment to complete. The deployment should take approximately 1 minute.

3. In the Azure portal, search for and select Automation Accounts, and on the Automation Accounts blade, click + Create.

4. On the Create an Automation Account blade, specify the following settings, and click Review + Create upon validation click Create:

   Important

   : Make sure that you specify the Azure region based on the Workspace mappings documentation. For example, if you deployed Log Analytics to East US, then you must deploy the Automation Account to East US 2.

   Settings	Value
   Automation account name	az104-aa1
   Subscription	the name of your Azure subscription
   Resource group	az104-rg1
   Region	the name of the Azure region determined based on Workspace mappings documentation

   Note

   : Wait for the deployment to complete. The deployment should take approximately 2 minutes.

5. Click Go to resource.

6. On the Automation account blade, in the Configuration Management section, click Inventory.

7. In the Inventory pane, in the Log Analytics workspace drop-down list, select the Log Analytics workspace you created earlier in this task and click Enable.

   Note

   : Wait for the installation of the corresponding Log Analytics solution to complete. This might take about 3 minutes.

   Note

   : This automatically installs the Change tracking solution as well.

   

8. On the Automation account blade, in the Update Management section, click Update management and click Enable.

   Note

   : Wait for the installation to complete. This might take about 5 minutes.

Task 4: Review default monitoring settings of Azure virtual machines

In this task, you will review default monitoring settings of Azure virtual machines. By default, metrics collected by the Azure platform are made available through Azure Monitor and the Metrics blade of a virtual machine. Common VM performance indicators can be charted by using this feature.

1. In the Azure portal, search for and select Virtual machines, and on the Virtual machines blade, click az104-vm0.

2. On the az104-vm0 blade, in the Monitoring section, click Metrics.

3. On the az104-vm0 | Metrics blade, on the default chart, note that the only available Metrics Namespace is Virtual Machine Host.

   Note

   : This is expected, since no guest-level diagnostic settings have been configured yet. You do have, however, the option of enabling guest memory metrics directly from the Metrics Namespace drop down-list. You will enable it later in this exercise.

4. In the Metric drop-down list, review the list of available metrics.

   Note

   : The list includes a range of CPU, disk, and network-related metrics that can be collected from the virtual machine host, without having access into guest-level metrics.

5. In the Metric drop-down list, select Percentage CPU, in the Aggregation drop-down list, select Avg, and review the resulting chart.

   

Task 5: Configure Azure virtual machine diagnostic settings

In this task, you will configure Azure virtual machine diagnostic settings. Diagnostic settings allow you to capture more logging and monitoring data, and send that data to a location to store. This could be a storage account if you are using a third-party logging solution, or as in this task, a Log Analytics workspace that will centralize the log data.

1. On the az104-vm0 blade, in the Monitoring section, click Diagnostic settings.

2. On the Overview tab of the az104-vm0 | Diagnostic settings blade, select the storage account in your resource group, and then click Enable guest-level monitoring.

   Note

   : Wait for the diagnostic settings extension to be installed. This might take about 3 minutes.

3. Switch to the Performance counters tab of the az104-vm0 | Diagnostic settings blade and review the available counters.

   Note

   : By default, CPU, memory, disk, and network counters are enabled. You can switch to the Custom view for more detailed listing.

4. Switch to the Logs tab of the az104-vm0 | Diagnostic settings blade and review the available event log collection options.

   Note

   : By default, log collection includes critical, error, and warning entries from the application Log and system log, as well as audit failure entries from the security log. You can switch to the Custom view for more detailed configuration settings.

5. On the az104-vm0 blade, in the Monitoring section, click Logs and then click Enable.

6. On the Monitoring configuration page, select Configure.

   Note

   : Do not wait for the operation to be completed, but instead proceed to the next step. The operation should take approximately 5 minutes.

7. On the az104-vm0 | Logs blade, in the Monitoring section, click Metrics.

8. On the az104-vm0 | Metrics blade, on the default chart, note that the Metrics Namespace drop-down list includes two entries: Virtual Machine Host and Guest (classic).

   Note

   : This is expected, since you enabled guest-level diagnostic settings. You also have the option to Enable new guest memory metrics.

9. In the Metrics Namespace drop-down list, select the Guest (classic) entry.

10. In the Metric drop-down list, review the list of available metrics.

    Note

    : The list includes additional guest-level metrics not available when relying on the host-level monitoring only.

11. In the Metric drop-down list, select Memory\Available Bytes, in the Aggregation drop-down list, select Max, and review the resulting chart.

Task 6: Review Azure Log Analytics functionality

In this task, you will use Azure Monitor to query the data captured from the virtual machine.

1. In the Azure portal, search for and select Monitor blade, click Logs.

   Note

   : You might need to click Get Started if this is the first time you access Log Analytics. If you still see an Enable button, wait for the previous deployment to finish.

2. If necessary, click Select scope, on the Select a scope blade, expand your subscription, expand resource group az104-rg1, then select az104-vm0, and click Apply.

3. In the query window, paste the following query, click Run, and review the resulting chart:

   // Virtual Machine available memory
   // Chart the VM's available memory over the last hour.
   InsightsMetrics
   | where TimeGenerated > ago(1h)
   | where Name == "AvailableMB"
   | project TimeGenerated, Name, Val
   | render timechart
   

   Note

   : The query should not have any errors (indicated by red blocks on the right scroll bar). If the query will not paste without errors, paste the query code into a text editor such as Notepad, and then copy and paste it into the query window from there.

   

4. Click Queries in the toolbar,

   Note

   : Depending on your screen resolution, Queries might be hidden behind an elipses.

5. Clear any existing filters. Using the query search, search for Track VM Availability using Heartbeat then select Run.

6. Select the Results tab of the query and review the results of the query.

Review

Congratulations! In this lab, you have successfully deployed a virtual machine, Log Analytics workspace, and an automation account. You then configured the diagnostic settings of the VM to ensure that logs are captured in the Log Analytics workspace, and queried the workspace with Azure Monitor to visualize the performance data of the VM.