Monitor and Analyze Metrics, Logs, and Traces
What Application Insights Collects
Application Insights is a monitoring tool that watches how your application behaves when it runs in Azure. It collects three main types of data: metrics are numbers that measure performance like how fast a request completes or how much memory is used, logs are text records that describe what happened during a request including errors and warnings, and traces are detailed records that follow a single request through every part of the code. When you connect Application Insights to your app, it automatically gathers this data without requiring you to write extra code, though you can customize what gets collected.
Using the Data to Find Problems
The data Application Insights collects flows into a central location where you can search, filter, and visualize it. Metrics appear as charts that update in real time, making it easy to spot sudden changes in performance or usage patterns. Logs let you dig into specific errors by searching for keywords, time ranges, or user sessions. Traces show you the exact path a request took through your system, which helps identify where delays or failures occur. Together, these three data types work as a team: metrics alert you that something might be wrong, logs tell you what happened, and traces show you exactly where the problem happened.
Implement Application Insights Web Tests and Alerts
Setting Up Availability Tests
Application Insights can automatically check whether your application is reachable from different locations around the world. These web tests send requests to your app's URL at regular intervals and record whether the app responds successfully. If the app stops responding from a particular test location, Application Insights knows there's a problem even before users notice. You can configure tests to run from multiple geographic regions, set timeout thresholds, and define what counts as a successful response.
Creating Alerts
Alerts notify you when something needs attention based on rules you define. An alert watches a specific metric, such as server response time or the number of failed requests, and triggers when the value crosses a threshold you choose. For example, you might set an alert that fires when response time exceeds five seconds or when more than five percent of requests fail. When an alert fires, it can send emails, text messages, or webhook notifications to your team. This automated watching means you don't have to constantly check dashboards yourself.
Instrument an App or Service to Use Application Insights
Adding the SDK to Your Code
To make Application Insights work, you install a software package called an SDK into your application. The SDK automatically captures incoming requests, outgoing dependencies, and performance data without requiring you to manually log each action. Different programming languages have different SDKs, but they all work the same way: you add the package, configure it with your Application Insights resource key, and the monitoring begins. The SDK runs alongside your application code and sends telemetry data to the Application Insights service in the background.
Custom Events and Properties
Beyond automatic collection, you can add your own custom events to track specific actions that matter to your business, such as when a user clicks a button, completes a purchase, or encounters a specific workflow. You can also attach custom properties to any event to provide extra context, like the user's subscription level or the feature they are using. This custom instrumentation lets you measure exactly what your application does and understand user behavior in detail that goes beyond standard performance metrics.