Skip to main content

Azure Application Insights - Tracking Operations in a Console App

If you are using the Application Insights SDK inside your ASP.NET (Core) application, every incoming HTTP request will start an operation context and will allow you track this request including any dependencies called along the way. But if you are using a console application(as a batch job for example) , there isn't the concept of an incoming request so the SDK doesn't track a lot out-of-the-box.

Configure your Console app to use Application Insights

Let me show you how you can still track operations in a Console App.

  • Start by adding the Microsoft.ApplicationInsights.WorkerService nuget package to your console app:

dotnet add package Microsoft.ApplicationInsights.WorkerService

  • Now you can add the bootstrapping logic to configure App Insights for your console app:
  • The code above will build up the required services and allows you to resolve a TelemetryClient instance that we’ll use in the next part.
    • Remark: Notice the FlushAsync method at the end to make sure that all telemetry data is sent to Azure.

Track operations manually

To track operations manually we need to invoke the StartOperation() method on the TelemetryClient instance.

The StartOperation() method returns an IOperationHolder<> that will stop the operation once disposed. It is also possible to explicitly call the StopOperation() method.

Every call that we do inside the using block will be linked to the same operation:

If you look at how the data arrives in Application Insights, you see that is nicely correlated.

Here is the Transaction Search view:

And here is the same operation queried using KQL:

 

More information:

Popular posts from this blog

Azure DevOps/ GitHub emoji

I’m really bad at remembering emoji’s. So here is cheat sheet with all emoji’s that can be used in tools that support the github emoji markdown markup: All credits go to rcaviers who created this list.

Podman– Command execution failed with exit code 125

After updating WSL on one of the developer machines, Podman failed to work. When we took a look through Podman Desktop, we noticed that Podman had stopped running and returned the following error message: Error: Command execution failed with exit code 125 Here are the steps we tried to fix the issue: We started by running podman info to get some extra details on what could be wrong: >podman info OS: windows/amd64 provider: wsl version: 5.3.1 Cannot connect to Podman. Please verify your connection to the Linux system using `podman system connection list`, or try `podman machine init` and `podman machine start` to manage a new Linux VM Error: unable to connect to Podman socket: failed to connect: dial tcp 127.0.0.1:2655: connectex: No connection could be made because the target machine actively refused it. That makes sense as the podman VM was not running. Let’s check the VM: >podman machine list NAME         ...

Cleaner switch expressions with pattern matching in C#

Ever find yourself mapping multiple string values to the same result? Being a C# developer for a long time, I sometimes forget that the C# has evolved so I still dare to chain case labels or reach for a dictionary. Of course with pattern matching this is no longer necessary. With pattern matching, you can express things inline, declaratively, and with zero repetition. A small example I was working on a small script that should invoke different actions depending on the environment. As our developers were using different variations for the same environment e.g.  "tst" alongside "test" , "prd" alongside "prod" .  We asked to streamline this a long time ago, but as these things happen, we still see variations in the wild. This brought me to the following code that is a perfect example for pattern matching: The or keyword here is a logical pattern combinator , not a boolean operator. It matches if either of the specified pattern...