Azure Monitor overview - Step-by-Step Execution

Process Flow - Azure Monitor overview

Start: Azure resources generate data

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Data collected by Azure Monitor

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Data categorized: Metrics, Logs, Alerts

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Metrics stored in Metrics database

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Logs stored in Log Analytics workspace

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Alerts configured to watch data

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Notifications sent or actions triggered

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Users analyze data via dashboards and workbooks

Azure Monitor collects data from resources, organizes it into metrics and logs, triggers alerts, and helps users analyze and act on this data.

Execution Sample

Azure

Resource -> Azure Monitor collects data
Data -> Categorized as Metrics or Logs
Metrics -> Stored in Metrics DB
Logs -> Stored in Log Analytics
Alerts -> Triggered on conditions
Notifications -> Sent to users

This flow shows how Azure Monitor collects and processes data from resources to provide monitoring and alerting.

Process Table

Step	Action	Data Type	Storage/Outcome	User Impact
1	Resource generates data	Raw data	Sent to Azure Monitor	No direct user impact
2	Azure Monitor collects data	Raw data	Received for processing	No direct user impact
3	Data categorized	Metrics and Logs	Separated for storage	Enables targeted analysis
4	Metrics stored	Metrics	Metrics database	Fast access for performance monitoring
5	Logs stored	Logs	Log Analytics workspace	Detailed event analysis
6	Alerts configured	Metrics/Logs	Alert rules active	Monitors for issues
7	Alert triggered	Alert condition met	Notification sent	User notified of issue
8	User analyzes data	Metrics/Logs	Dashboards and workbooks	Informed decisions and troubleshooting
9	End	N/A	Monitoring cycle continues	Continuous monitoring

💡 Monitoring cycle is continuous; steps repeat as new data arrives.

Status Tracker

Variable	Start	After Step 3	After Step 5	After Step 7	Final
Raw Data	None	Collected	Collected	Collected	Collected
Metrics	None	Separated	Stored	Stored	Stored
Logs	None	Separated	Stored	Stored	Stored
Alerts	None	None	Configured	Triggered	Configured
Notifications	None	None	None	Sent	Sent

Key Moments - 3 Insights

Why does Azure Monitor separate data into metrics and logs?

Separating data allows Azure Monitor to store and process metrics quickly for performance monitoring, while logs provide detailed event information for deeper analysis, as shown in steps 3 to 5 in the execution table.

What triggers an alert notification to users?

An alert notification is triggered when alert conditions configured on metrics or logs are met, as shown in step 7 where the alert triggers and notifications are sent.

Is the monitoring process a one-time event or continuous?

The monitoring process is continuous, with Azure Monitor constantly collecting new data and repeating the cycle, as noted in the exit note and step 9.

Visual Quiz - 3 Questions

Look at the execution table, at which step are metrics stored in the metrics database?

A Step 6

B Step 3

C Step 4

D Step 7

💡 Hint

Refer to the 'Storage/Outcome' column in the execution table row for Step 4.

According to the variable tracker, when are alerts first configured?

A After Step 5

B After Step 3

C After Step 7

D At Start

💡 Hint

Check the 'Alerts' row and see when its value changes from 'None' to 'Configured'.

If the alert conditions are never met, what happens to notifications according to the execution table?

A Notifications are sent anyway

B Notifications are never sent

C Notifications are stored but not sent

D Notifications are sent only after user analysis

💡 Hint

Look at Step 7 where notifications are sent only when alert conditions are met.

Concept Snapshot

Azure Monitor collects data from resources.
Data is split into metrics (performance numbers) and logs (detailed events).
Metrics go to a fast database; logs go to Log Analytics.
Alerts watch data and notify users on issues.
Users analyze data via dashboards for insights.
This process runs continuously to keep resources healthy.

Full Transcript

Azure Monitor is a service that collects data from your cloud resources. It gathers two main types of data: metrics, which are numbers showing performance, and logs, which are detailed records of events. The service stores metrics in a special database for quick access and logs in a workspace for deep analysis. Users can set up alerts to watch this data and get notified if something needs attention. Finally, users can view dashboards and reports to understand the health and performance of their resources. This monitoring happens continuously to help keep systems running smoothly.

Practice

1. What is the main purpose of Azure Monitor?

easy

A. To watch cloud resources and keep them healthy

B. To create virtual machines

C. To store large amounts of data

D. To manage user permissions

Solution

1. Step 1: Understand Azure Monitor's role

   Azure Monitor watches cloud resources to ensure they work well and stay healthy.

2. Step 2: Compare options with this role

   Creating virtual machines, storing data, and managing permissions are not the main tasks of Azure Monitor.

3. Final Answer:

   To watch cloud resources and keep them healthy -> Option A

4. Quick Check:

   Azure Monitor = watches resources [OK]

Hint: Azure Monitor = watches and keeps resources healthy [OK]

Common Mistakes:

• Confusing Azure Monitor with storage services
• Thinking it creates virtual machines
• Mixing it up with user management

2. Which of the following is the correct way to enable Azure Monitor for a resource in the Azure portal?

easy

A. Disable all alerts to start Azure Monitor

B. Create a new virtual machine and Azure Monitor is enabled by default

C. Go to the resource, select 'Monitoring', then 'Insights', and enable monitoring

D. Run a PowerShell script to delete monitoring settings

Solution

1. Step 1: Check how to enable monitoring in Azure portal

   Azure Monitor is enabled by going to the resource, selecting 'Monitoring', then 'Insights', and turning it on.

2. Step 2: Eliminate incorrect options

   Creating a VM does not automatically enable Azure Monitor; deleting monitoring or disabling alerts does not enable it.

3. Final Answer:

   Go to the resource, select 'Monitoring', then 'Insights', and enable monitoring -> Option C

4. Quick Check:

   Enable monitoring via Insights in portal [OK]

Hint: Enable monitoring under resource's Insights tab [OK]

Common Mistakes:

• Assuming Azure Monitor is on by default for all resources
• Confusing enabling with disabling alerts
• Thinking deleting settings enables monitoring

3. Consider this Azure Monitor alert rule setup:
Alert when CPU usage > 80% for 5 minutes
What happens if CPU usage spikes to 85% for 3 minutes and then drops to 75%?

medium

A. An alert is triggered immediately when CPU hits 85%

B. No alert is triggered because the high CPU lasted less than 5 minutes

C. An alert triggers after CPU usage drops below 80%

D. The alert triggers only if CPU stays above 90%

Solution

1. Step 1: Understand alert condition timing

   The alert triggers only if CPU usage stays above 80% continuously for 5 minutes.

2. Step 2: Analyze the CPU usage pattern

   The CPU was above 80% for only 3 minutes, then dropped below, so the alert condition is not met.

3. Final Answer:

   No alert is triggered because the high CPU lasted less than 5 minutes -> Option B

4. Quick Check:

   Alert needs 5 minutes above threshold [OK]

Hint: Alert triggers only after condition lasts full time [OK]

Common Mistakes:

• Thinking alert triggers immediately on spike
• Ignoring the 5-minute duration condition
• Confusing threshold values

4. You set up an Azure Monitor alert but it never triggers even when the condition is met. What is a likely cause?

medium

A. Alert rule is disabled or not properly configured

B. Azure Monitor does not support alerts

C. The resource is offline and cannot be monitored

D. Alerts only work during business hours

Solution

1. Step 1: Check alert rule status

   If the alert rule is disabled or misconfigured, it will not trigger even if conditions are met.

2. Step 2: Review other options for correctness

   Azure Monitor supports alerts anytime; resources offline may not send data but usually cause other errors; alerts are not time-limited.

3. Final Answer:

   Alert rule is disabled or not properly configured -> Option A

4. Quick Check:

   Disabled alert rules never trigger [OK]

Hint: Check if alert rule is enabled and correct [OK]

Common Mistakes:

• Assuming Azure Monitor can't alert
• Thinking alerts depend on time of day
• Ignoring alert rule configuration

5. You want to reduce costs but keep monitoring important metrics with Azure Monitor. Which approach is best?

hard

A. Collect all possible data and create alerts for every metric

B. Disable Azure Monitor completely to save money

C. Use Azure Monitor only during peak hours

D. Configure sampling to collect fewer data points and set alerts only on critical metrics

Solution

1. Step 1: Understand cost-saving options in Azure Monitor

   Sampling reduces data volume by collecting fewer points, lowering cost. Alerting only on critical metrics avoids unnecessary alerts.

2. Step 2: Evaluate other options

   Disabling monitoring risks missing issues; collecting all data increases cost; limiting monitoring by time is not supported and risky.

3. Final Answer:

   Configure sampling to collect fewer data points and set alerts only on critical metrics -> Option D

4. Quick Check:

   Sampling + critical alerts = cost saving [OK]

Hint: Use sampling and alert only on key metrics [OK]

Common Mistakes:

• Turning off monitoring completely
• Collecting too much data without filtering
• Assuming monitoring can be time-limited