![]() Send emails from ASP.NET Core websites using SendGrid and Azure.Creating ASP.NET Core websites with Docker.The source code used on this article is available on GitHub on the telemetry branch. How to profile ASP.NET apps using Application Insights.Monitor ASP.NET applications using Application Insights and Azure Alerts.Adding Application Insights telemetry to your ASP.NET Core website.Want to know more about Application Insights? Consider reading previous articles on the same topic: Application Insights API for custom events and metrics.Filtering and preprocessing telemetry in the Application Insights SDK.For more information about AppInisights, check the official documentation. Organization as it provides a simple, fast, centralized andĬustomizable service to access your logs. If you're using Azure, AppInsights may be a valuable asset for your I hope it's clear how to register your telemetry processor and how/when to use RequestTelemetry and DependencyTelemetry. On this post we extended the discussion on How to add Application Insights telemetry to ASP.NET websites and reviewed how to suppress some of that telemetry. Services.AddApplicationInsightsTelemetryProcessor() Services.AddApplicationInsightsTelemetry() Public void ConfigureServices(IServiceCollection services) ![]() You should no longer see those requests targeting static resources: Wait a couple of minutes for the telemetry to show up online. The registration of a telemetry processor in ASP.NET Core is done in Startup.cs:Ĭonfiguring a telemetry processor on ASP.NET is done in Global.asax: As stated on this document, the initialization is different for ASP.NET Core and ASP.NET MVC. Now, we just need to wire it up on the initialization of our app. Note the logic to exclude requests in the Process method: Our telemetry processor should implement the interface ITelemetryProcessor. To get rid of some of these requests, we will implement a custom filter that I named SuppressStaticResourcesFilter to ignore requests those static resources. So let's create a filter that excludes requests to favicon.ico, bootstrap, jquery, site.css and site.js. These classes contain properties that are useful for our logic. There are different types of telemetry filters being RequestTelemetry and DependencyTelemetry the most common. Our code will suppress the data shown in yellow. For example, below I show all the telemetry that was automatically sent from my application to Azure with just one line of code. So let's create a custom filter that will suppress some of that telemetry. For example, you could add calculated values or version numbers by which to filter the data in the portal. Telemetry Initializers - lets you add or modify properties to any telemetry sent from your app.It allows you more control over what is transmitted, but affects your statistics. Filtering is a more basic approach to reducing traffic than sampling. For example, you could reduce the volume of telemetry by excluding requests from robots. Filtering with Telemetry Processors - filters out telemetry before it is sent to the server.Keeps together related data points so we can navigate between points when diagnosing a problem. Sampling - reduces the volume of telemetry without affecting statistics.You can write and configure plug-ins for the Application Insights API to customize how telemetry can be enriched and processed before it's sent to the Application Insights service in four different ways: On this post we will explain how to suppress telemetry by using AppInsights' DependencyTelemetry and ITelemetryProcessor. Turns out that we also saw that a lot of unnecessary telemetry was being sent. On a previous post we learned how to add Application Insights telemetry to ASP.NET applications.
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