Why monitoring is essential in Azure - See It in Action

Why Monitoring is Essential in Azure

📖 Scenario: You are managing a web application hosted on Microsoft Azure. To keep the application running smoothly and to quickly fix any issues, you need to set up monitoring.

🎯 Goal: Learn how to create a basic monitoring setup in Azure using Azure Monitor to track the health and performance of your web app.

📋 What You'll Learn

Create a resource group variable

Create an Azure Monitor workspace variable

Configure a diagnostic setting for the web app to send logs to the workspace

Display the diagnostic setting name

💡 Why This Matters

🌍 Real World

Monitoring helps catch problems early in cloud applications, ensuring users have a smooth experience.

💼 Career

Azure monitoring skills are essential for cloud engineers and DevOps professionals to maintain reliable services.

1

Create a resource group variable

Create a variable called resource_group and set it to the string "MyResourceGroup".

Azure

# Create a variable called resource_group and set it to "MyResourceGroup"
# Your code here

Hint

Use simple assignment to create the variable.

2

Create an Azure Monitor workspace variable

Create a variable called monitor_workspace and set it to the string "MyMonitorWorkspace".

Azure

resource_group = "MyResourceGroup"
# Create a variable called monitor_workspace and set it to "MyMonitorWorkspace"
# Your code here

Hint

Assign the workspace name as a string to the variable.

3

Configure diagnostic setting for the web app

Create a variable called diagnostic_setting and set it to the string "AppDiagnostics". This represents the diagnostic setting name that sends logs to the monitor workspace.

Azure

resource_group = "MyResourceGroup"
monitor_workspace = "MyMonitorWorkspace"
# Create a variable called diagnostic_setting and set it to "AppDiagnostics"
# Your code here

Hint

Use a simple string assignment for the diagnostic setting name.

4

Display the diagnostic setting name

Write a print statement to display the value of the variable diagnostic_setting.

Azure

resource_group = "MyResourceGroup"
monitor_workspace = "MyMonitorWorkspace"
diagnostic_setting = "AppDiagnostics"
# Print the diagnostic_setting variable
# Your code here

Hint

Use print(diagnostic_setting) to show the diagnostic setting name.

Practice

1. Why is monitoring essential in Azure DevOps environments?

easy

A. It replaces the need for backups and data recovery.

B. It automatically updates all software without user input.

C. It helps detect and fix problems quickly to keep systems running smoothly.

D. It increases the cost of running cloud services.

Solution

1. Step 1: Understand the purpose of monitoring

   Monitoring tracks system performance and health in real time.

2. Step 2: Identify the benefit of quick problem detection

   Quick detection allows fast fixes, preventing downtime and issues.

3. Final Answer:

   It helps detect and fix problems quickly to keep systems running smoothly. -> Option C

4. Quick Check:

   Monitoring = Fast problem detection [OK]

Hint: Monitoring = catch issues early and fix fast [OK]

Common Mistakes:

• Thinking monitoring updates software automatically
• Confusing monitoring with backup solutions
• Assuming monitoring increases costs directly

2. Which Azure CLI command is used to view metrics for a resource?

easy

A. az storage account delete --name

B. az monitor metrics list --resource

C. az vm create --name

D. az network vnet list

Solution

1. Step 1: Identify the command for monitoring metrics

   The command az monitor metrics list lists metrics for a resource.

2. Step 2: Confirm the command matches the monitoring purpose

   Options A, B, and D perform unrelated tasks like storage deletion, VM creation, or listing VNets.

3. Final Answer:

   az monitor metrics list --resource <resource-id> -> Option B

4. Quick Check:

   Metrics command = az monitor metrics list [OK]

Hint: Use 'az monitor metrics list' to check resource metrics [OK]

Common Mistakes:

• Confusing VM or storage commands with monitoring commands
• Omitting the --resource parameter
• Using commands that list unrelated resources

3. What is the output of this Azure CLI command?

az monitor metrics list --resource /subscriptions/123/resourceGroups/myRG/providers/Microsoft.Compute/virtualMachines/myVM --metric CPUPercentage --interval PT1M --output table

medium

A. A JSON object with storage account details.

B. An error saying the resource ID is invalid.

C. A list of all virtual machines in the resource group.

D. A table showing CPU usage percentage of the VM every minute.

Solution

1. Step 1: Analyze the command parameters

   The command requests CPUPercentage metric for a VM resource with 1-minute intervals and table output.

2. Step 2: Determine expected output type

   The output will be a table showing CPU usage data points for the VM over time.

3. Final Answer:

   A table showing CPU usage percentage of the VM every minute. -> Option D

4. Quick Check:

   Metrics output = table of CPU usage [OK]

Hint: Look for metric and output parameters to guess output format [OK]

Common Mistakes:

• Assuming command lists VMs instead of metrics
• Confusing resource ID with resource group
• Expecting JSON when output is table

4. You run this command but get an error:

az monitor metrics list --resource myVM --metric CPUPercentage

What is the likely cause?

medium

A. The resource ID is incomplete; it needs the full Azure resource ID path.

B. The metric name CPUPercentage is invalid.

C. The command requires a storage account name instead of a VM name.

D. The Azure CLI is not installed.

Solution

1. Step 1: Check the resource parameter format

   The command uses 'myVM' which is not a full resource ID; Azure expects full resource ID path.

2. Step 2: Understand error cause

   Without full resource ID, Azure CLI cannot find the resource to get metrics.

3. Final Answer:

   The resource ID is incomplete; it needs the full Azure resource ID path. -> Option A

4. Quick Check:

   Full resource ID required = error [OK]

Hint: Always use full resource ID for monitoring commands [OK]

Common Mistakes:

• Using just resource name instead of full ID
• Assuming metric name is wrong
• Thinking CLI is not installed without checking

5. You want to set up monitoring alerts in Azure to notify you when CPU usage exceeds 80% for 5 minutes. Which approach best uses monitoring to prevent downtime?

hard

A. Configure Azure Monitor alerts with action groups to send notifications on CPU threshold breaches.

B. Manually check CPU metrics daily using Azure CLI commands.

C. Increase VM size without monitoring CPU usage.

D. Disable monitoring to reduce costs and rely on user reports.

Solution

1. Step 1: Identify proactive monitoring method

   Azure Monitor alerts can automatically notify when CPU exceeds thresholds, enabling fast response.

2. Step 2: Compare options for preventing downtime

   Manual checks or ignoring monitoring delay response; increasing VM size blindly wastes resources.

3. Final Answer:

   Configure Azure Monitor alerts with action groups to send notifications on CPU threshold breaches. -> Option A

4. Quick Check:

   Alerts + notifications = proactive downtime prevention [OK]

Hint: Use alerts with notifications for fast issue response [OK]

Common Mistakes:

• Relying on manual checks only
• Ignoring monitoring to save costs
• Scaling without monitoring data