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content/en/docs/languages/dotnet/getting-started.md

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For more:
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- Run this example with another [exporter][] for telemetry data.
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- Try [automatic instrumentation](/docs/zero-code/dotnet/) on one of your own apps.
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- Try [automatic instrumentation](/docs/zero-code/dotnet/) on one of your own
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apps.
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- Learn about [manual instrumentation][] and try out more
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[examples](/docs/languages/dotnet/examples/).
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- Take a look at the [OpenTelemetry Demo](/docs/demo/), which includes .NET

content/en/docs/languages/dotnet/instrumentation.md

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## Example app preparation {#example-app}
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This page uses a modified version of the example app from
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[Getting Started](/docs/languages/dotnet/getting-started/) to help you learn about
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manual instrumentation.
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[Getting Started](/docs/languages/dotnet/getting-started/) to help you learn
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about manual instrumentation.
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You don't have to use the example app: if you want to instrument your own app or
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library, follow the instructions here to adapt the process to your own code.
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For debugging and local development purposes, the example exports telemetry to
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the console. After you have finished setting up manual instrumentation, you need
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to configure an appropriate exporter to
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[export the app's telemetry data](/docs/languages/dotnet/exporters/) to one or more
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telemetry backends.
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[export the app's telemetry data](/docs/languages/dotnet/exporters/) to one or
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more telemetry backends.
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The example also sets up the mandatory SDK default attribute `service.name`,
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which holds the logical name of the service, and the optional, but highly
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[export your telemetry data](../exporters/) to one or more telemetry backends.
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You can also check the
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[automatic instrumentation for .NET](/docs/zero-code/dotnet/), which is currently
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in beta.
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[automatic instrumentation for .NET](/docs/zero-code/dotnet/), which is
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currently in beta.

content/en/docs/languages/dotnet/libraries.md

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## Next steps
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After you have set up instrumentation libraries, you may want to add your own
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[instrumentation](/docs/languages/dotnet/instrumentation) to your code, to collect
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custom telemetry data.
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[instrumentation](/docs/languages/dotnet/instrumentation) to your code, to
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collect custom telemetry data.
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If you are using .NET Framework 4.x instead of modern .NET, refer to the
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[.NET Framework docs](/docs/languages/dotnet/netframework) to configure
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telemetry backends.
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You can also check the
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[automatic instrumentation for .NET](/docs/zero-code/dotnet), which is currently in
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beta.
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[automatic instrumentation for .NET](/docs/zero-code/dotnet), which is currently
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in beta.
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[opentelemetry-dotnet]: https://github.com/open-telemetry/opentelemetry-dotnet

content/en/docs/languages/dotnet/netframework.md

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After you have observability generated automatically with instrumentation
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libraries, you may want to add
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[manual instrumentation](/docs/languages/dotnet/instrumentation) to collect custom
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telemetry data.
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[manual instrumentation](/docs/languages/dotnet/instrumentation) to collect
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custom telemetry data.
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You'll also want to configure an appropriate exporter to
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[export your telemetry data](/docs/languages/dotnet/exporters) to one or more
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telemetry backends.
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You can also check the
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[automatic instrumentation for .NET](/docs/zero-code/dotnet), which is currently in
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beta.
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[automatic instrumentation for .NET](/docs/zero-code/dotnet), which is currently
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in beta.

content/en/docs/zero-code/dotnet/_index.md

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After you have automatic instrumentation configured for your app or service, you
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might want to [send custom traces and metrics](./custom) or add
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[manual instrumentation](/docs/languages/dotnet/instrumentation) to collect custom
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telemetry data.
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[manual instrumentation](/docs/languages/dotnet/instrumentation) to collect
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custom telemetry data.

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