Why monitoring is essential in Azure - Visual Breakdown

Process Flow - Why monitoring is essential

Start: Application runs

↓

Collect Metrics & Logs

↓

Analyze Data

↓

Detect Issues?

No→Continue Monitoring

Yes↓

Alert Team

↓

Fix Issue

↓

Verify Fix

↓

Back to Monitoring

Monitoring collects data from your app, checks for problems, alerts you if needed, and helps fix issues to keep things running smoothly.

Execution Sample

Azure

az monitor metrics list --resource /subscriptions/123/resourceGroups/myRG/providers/Microsoft.Web/sites/myApp
az monitor metrics alert create --name HighCPUAlert --condition "avg Percentage CPU > 80" --resource /subscriptions/123/resourceGroups/myRG/providers/Microsoft.Web/sites/myApp

These commands list available metrics for the app and create an alert if CPU usage goes above 80%.

Process Table

Step	Action	Input/Condition	Result/Output
1	Start monitoring	App is running	Metrics and logs start collecting
2	Collect metrics	CPU usage, memory, requests	Data stored in Azure Monitor
3	Analyze data	Check if CPU > 80%	Condition evaluated
4	Condition true?	CPU = 85%	Yes, trigger alert
5	Send alert	High CPU alert	Team notified via email/SMS
6	Fix issue	Team investigates	CPU usage reduced
7	Verify fix	CPU now 50%	System stable, monitoring continues
8	Condition false?	CPU = 50%	No alert, continue monitoring

💡 Monitoring continues indefinitely to keep system healthy

Status Tracker

Variable	Start	After Step 2	After Step 4	After Step 6	Final
CPU Usage (%)	N/A	85	85	50	50
Alert Status	Off	Off	On	On	Off
Team Notified	No	No	Yes	Yes	Yes

Key Moments - 2 Insights

Why do we need to keep monitoring even after fixing an issue?

Because issues can happen again or new problems can appear, continuous monitoring ensures the system stays healthy as shown in steps 7 and 8.

What happens if the CPU usage never goes above 80%?

No alert is triggered and monitoring continues silently, as shown in step 8 where condition is false.

Visual Quiz - 3 Questions

Look at the execution table, at which step is the alert sent to the team?

A Step 3

B Step 5

C Step 7

D Step 2

💡 Hint

Check the 'Action' column for 'Send alert' in the execution_table rows

According to the variable tracker, what is the CPU usage after the issue is fixed?

A 50%

B 85%

C N/A

D 100%

💡 Hint

Look at 'CPU Usage (%)' value after Step 6 in variable_tracker

If the CPU usage never exceeds 80%, what happens to the alert status?

A It turns On

B It toggles On and Off

C It stays Off

D It sends multiple alerts

💡 Hint

Refer to execution_table step 8 and variable_tracker 'Alert Status' final value

Concept Snapshot

Monitoring means collecting data from your app continuously.
It checks for problems like high CPU or errors.
If a problem is found, it alerts the team.
The team fixes the issue and monitoring verifies the fix.
This cycle repeats to keep apps healthy and fast.

Full Transcript

Monitoring is essential because it helps keep applications running smoothly. It works by collecting data like CPU usage and logs while the app runs. This data is analyzed to detect problems such as high CPU usage. When a problem is found, monitoring sends alerts to the team so they can fix it quickly. After fixing, monitoring continues to verify the system is stable. This ongoing process prevents downtime and improves user experience.

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