The reason for that is that URLs in general are case sensitive. Grouping on the UI is case sensitive, so GET /Home/Index is counted separately from GET /home/INDEX even though often they result in the same controller and action execution. The Application Insights web SDK sends a request name "as is" about letter case. For HTTP requests, it represents the HTTP method and URL path template like GET /values/ without the actual id value. A low cardinality value allows for better grouping of requests. This field is the name of the request and it represents the code path taken to process the request. Transition to connection strings to take advantage of new capabilities. Instrumentation key ingestion will continue to work, but we'll no longer provide updates or support for the feature. On March 31, 2025, support for instrumentation key ingestion will end. Request telemetry supports the standard extensibility model by using custom properties and measurements. Start time for the request telemetry is defined on the envelope level. You can further group success and failure executions by using resultCode. Code execution can result in success or fail and has a certain duration. You can group requests by logical name and define the source of this request. Every request execution is identified by a unique id and url that contain all the execution parameters. RequestĪ request telemetry item in Application Insights represents the logical sequence of execution triggered by an external request to your application. To report data model or schema problems and suggestions, use our GitHub repository. We strive to keep the model simple and slim to support essential scenarios and allow the schema to be extended for advanced use. The Application Insights data model is a basic yet powerful way to model your application telemetry. You can set the correlation context for those telemetry items that tie it back to the request telemetry. For example, a request can make a SQL Database call and record diagnostics information. The Application Insights telemetry model defines a way to correlate telemetry to the operation of which it's a part. Calculating the distinct count of session ID values for a specific failed dependency, error trace, or critical exception gives you a good understanding of an impact. You can use session ID to calculate an outage or an issue impact on users. When application version is properly initialized, Application Insights can detect new patterns in application behavior correlated with redeployment. Context is a set of strongly typed fields that unblocks certain scenarios. Metric: Used to report periodic scalar measurements.Įvery telemetry item can define the context information like application version or user session ID.Event: Typically used to capture user interaction with your service to analyze usage patterns.Trace: Used either directly or through an adapter to implement diagnostics logging by using an instrumentation framework that's familiar to you, such as Log4Net or System.Diagnostics.Calls to HTTP endpoints are defined by System.Net.Īpplication Insights provides three data types for custom telemetry: In ASP.NET, dependency calls to SQL are defined by System.Data. Each operation either succeeds or fails and has a duration of time.Įxception: Typically represents an exception that causes an operation to fail.ĭependency: Represents a call from your app to an external service or storage, such as a REST API or SQL. The ID can be used to group all telemetry generated while your app is processing the request. You can also write code to monitor other types of operation, such as a "wake up" in a web job or function that periodically processes data. For example, the Application Insights web SDK automatically generates a Request telemetry item for each HTTP request that your web app receives.Īn operation is made up of the threads of execution that process a request. Request: Generated to log a request received by your app. The Application Insights SDK from the web application framework automatically collects these three types: The following types of telemetry are used to monitor the execution of your app. The telemetry model is standardized, so it's possible to create platform- and language-independent monitoring.ĭata collected by Application Insights models this typical application execution pattern. Application Insights sends telemetry from your web application to the Azure portal so that you can analyze the performance and usage of your application.
0 Comments
Leave a Reply. |