Azure Monitoring Explained: How Do You Know Your Website Is Healthy?

Your website is online, but visitors say the contact form is failing. Another visitor says the pages are slow. Where do you look first?

Azure monitoring helps you answer three questions: Is the website working? What changed? Why did it fail? Let’s use a website hosted on Azure App Service as a practical example.

The five parts of Azure monitoring

Service	What it means	What it tells you about your website
Azure Monitor	The overall platform for collecting, analyzing, and responding to monitoring data	Gives you a place to observe the health of your Azure resources and application
Metrics	Numbers recorded over time	Shows trends such as rising response time or request volume
Application Insights	Monitoring focused on application performance, failures, and availability	Shows which website requests failed and where users experienced delays
Log Analytics	A tool for querying detailed logs stored in a Log Analytics workspace	Helps you investigate the events behind a failure
Alerts	Rules that notify people or trigger actions when a condition is met	Tells your team when the website needs attention

These work together within Azure Monitor; they are not five separate monitoring platforms.

1. Azure Monitor: Your monitoring control room

Azure Monitor collects monitoring data from Azure resources and applications. You can use it to view performance, investigate problems, and configure alerts.

Website example: Your site becomes slow every evening. You open Azure Monitor to examine the App Service, compare performance data, and investigate what happens during that period.

Remember it this way: Azure Monitor is the control room. Metrics, logs, and application telemetry are the information coming into it.

Interview answer: “I use Azure Monitor to track the health of Azure resources and applications, investigate incidents, and configure alerts.”

2. Metrics: The numbers that reveal a trend

A metric is a numerical measurement captured over time. Metrics help you spot changes quickly, such as an increase in requests or response time. They are useful for charts and alerts, but a metric alone may not explain the cause of a problem.

Website example: Your response-time chart normally stays steady, then rises sharply when traffic increases. That tells you when performance changed. You can then investigate the application to find why.

Remember it this way: A metric is like a speedometer: it shows a measurement, but you may need more information to diagnose the engine.

Interview answer: “I use metrics to identify performance trends and create thresholds for early detection.”

3. Application Insights: See what visitors experience

Application Insights monitors application behavior, including requests, failures, performance, and availability. Its availability tests can check a website regularly from different locations.

Website example: The homepage loads, but the contact form fails. Application Insights helps you inspect the failed form request and related application telemetry. This is more useful than checking only whether the homepage is reachable.

Remember it this way: Application Insights helps you see the website from the application and visitor experience perspective.

Interview answer: “I use Application Insights to track request failures, response times, dependencies, and website availability.”

4. Log Analytics: Investigate the details

A Log Analytics workspace stores log data in tables. With Log Analytics, you can search those records using Kusto Query Language, or KQL. Logs provide details that help you investigate an incident.

Website example: A visitor reports that the contact form failed at 8:15 p.m. You search the relevant logs around that time to find the failed operation and its error details. The tables available depend on the telemetry you have configured.

Remember it this way: Metrics show the pattern; logs help you examine the individual events.

Interview answer: “I use Log Analytics and KQL to search logs, correlate events, and investigate the cause of application failures.”

5. Alerts: Know about problems sooner

An alert watches for a condition you define. When that condition is met, Azure Monitor can notify an action group or initiate an automated response. Alert rules can use metrics or log queries.

Website example: You configure an Application Insights availability test for your site and an alert to notify your team if the test detects a failure. You can also create an alert for an unusual rise in failed requests.

Remember it this way: An alert is the alarm bell. It tells you to investigate; the metrics and logs provide the evidence.

Interview answer: “I configure alert rules and action groups so the operations team is notified when availability or performance reaches an agreed threshold.”

A real troubleshooting flow

Imagine visitors report that your website is slow and the contact form sometimes fails:

1. Alert: Your team receives a notification about increased failures.
2. Metrics: You see that response time and request volume rose at the same time.
3. Application Insights: You identify the contact form operation as a source of failed requests.
4. Log Analytics: You inspect the detailed events around those failures.
5. Azure Monitor: You bring the evidence together to investigate and verify the website after the fix.

Quick takeaway

Azure Monitor watches the system. Metrics show the trend. Application Insights shows application behavior. Log Analytics provides the details. Alerts tell you when to act.