# Using instrumentation libraries

LLMS index: [llms.txt](/llms.txt)

---

When you develop an app, you might use third-party libraries and frameworks to
accelerate your work. If you then instrument your app using OpenTelemetry, you
might want to avoid spending additional time to manually add traces, logs, and
metrics to the third-party libraries and frameworks you use.

Many libraries and frameworks already support OpenTelemetry or are supported
through OpenTelemetry
[instrumentation](/docs/concepts/instrumentation/libraries/), so that they can
generate telemetry you can export to an observability backend.

If you are instrumenting an app or service that use third-party libraries or
frameworks, follow these instructions to learn how to use natively instrumented
libraries and instrumentation libraries for your dependencies.

## Use natively instrumented libraries

If a library comes with OpenTelemetry support by default, you can get traces,
metrics, and logs emitted from that library by adding and setting up the
OpenTelemetry SDK with your app.

The library might require some additional configuration for the instrumentation.
Go to the documentation for that library to learn more.
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- [Azure SDK Instrumentation](https://learn.microsoft.com/en-us/azure/azure-monitor/app/opentelemetry-enable)
- [FusionCache .NET caching library](https://github.com/ZiggyCreatures/FusionCache/blob/main/docs/OpenTelemetry.md)
- [MassTransit .NET client](https://masstransit.io/documentation/configuration/observability)
- [nservicebus OpenTelemetry Integration](https://docs.particular.net/nservicebus/operations/opentelemetry)
- [ThrottlingTroll](https://github.com/ThrottlingTroll/ThrottlingTroll/wiki#telemetry)






> [!IMPORTANT] Help wanted
>
> If you are aware of a .NET library that has OpenTelemetry natively
> integrated, [let us know][new-issue].



[new-issue]:
  https://github.com/open-telemetry/opentelemetry.io/issues/new/choose
{{__hugo_ctx/}}



## Use Instrumentation Libraries

If a library does not come with OpenTelemetry out of the box, you can use
[instrumentation libraries](/docs/specs/otel/glossary/#instrumentation-library)
in order to generate telemetry data for a library or framework.

For example,
[the instrumentation library for ASP.NET Core](https://www.nuget.org/packages/OpenTelemetry.Instrumentation.AspNetCore)
will automatically create [spans](/docs/concepts/signals/traces/#spans) and
[metrics](/docs/concepts/signals/metrics) based on the inbound HTTP requests.

## Setup

Each instrumentation library is a NuGet package, and installing them is
typically done like so:

```sh
dotnet add package OpenTelemetry.Instrumentation.{library-name-or-type}
```

It is typically then registered at application startup time, such as when
creating a [TracerProvider](/docs/concepts/signals/traces/#tracer-provider).

## Note on Versioning

The Semantic Conventions (Standards) for attribute names are not currently
stable therefore the instrumentation library is currently not in a released
state. That doesn't mean that the functionality itself is not stable, only that
the names of some of the attributes may change in the future, some may be added,
some may be removed. This means that you need to use the `--prerelease` flag, or
install a specific version of the package

## Example with ASP.NET Core and HttpClient

As an example, here's how you can instrument inbound and output requests from an
ASP.NET Core app.

First, get the appropriate packages of OpenTelemetry Core:

```sh
dotnet add package OpenTelemetry
dotnet add package OpenTelemetry.Extensions.Hosting
dotnet add package OpenTelemetry.Exporter.Console
```

Then you can install the instrumentation libraries:

```sh
dotnet add package OpenTelemetry.Instrumentation.AspNetCore --prerelease
dotnet add package OpenTelemetry.Instrumentation.Http --prerelease
```

Next, configure each instrumentation library at startup and use them!

```csharp
using OpenTelemetry.Resources;
using OpenTelemetry.Trace;


var builder = WebApplication.CreateBuilder(args);

builder.Services.AddOpenTelemetry()
  .WithTracing(b =>
  {
      b
      .AddHttpClientInstrumentation()
      .AddAspNetCoreInstrumentation();
  });

var app = builder.Build();

var httpClient = new HttpClient();

app.MapGet("/hello", async () =>
{
    var html = await httpClient.GetStringAsync("https://example.com/");
    if (string.IsNullOrWhiteSpace(html))
    {
        return "Hello, World!";
    }
    else
    {
        return "Hello, World!";
    }
});

app.Run();
```

When you run this code and access the `/hello` endpoint, the instrumentation
libraries will:

- Start a new trace
- Generate a span representing the request made to the endpoint
- Generate a child span representing the HTTP GET made to `https://example.com/`

If you add more instrumentation libraries, then you get more spans for each of
those.

## Available instrumentation libraries

A full list of instrumentation libraries produced by OpenTelemetry is available
from the [opentelemetry-dotnet][] repository.

You can also find more instrumentations available in the
[registry](/ecosystem/registry/?language=dotnet&component=instrumentation).

## Next steps

After you have set up instrumentation libraries, you may want to add your own
[instrumentation](/docs/languages/dotnet/instrumentation) to your code, to
collect custom telemetry data.

If you are using .NET Framework 4.x instead of modern .NET, refer to the
[.NET Framework docs](/docs/languages/dotnet/netframework) to configure
OpenTelemetry and instrumentation libraries on .NET Framework.

You'll also want to configure an appropriate exporter to
[export your telemetry data](/docs/languages/dotnet/exporters) to one or more
telemetry backends.

You can also check the
[automatic instrumentation for .NET](/docs/zero-code/dotnet), which is currently
in beta.

[opentelemetry-dotnet]: https://github.com/open-telemetry/opentelemetry-dotnet
