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content/en/docs/concepts/instrumentation/_index.md

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weight: 15
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---
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For a system to be [observable], it must be **instrumented**: that is, code from the
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system's components must emit [signals], such as [traces], [metrics], and
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For a system to be [observable], it must be **instrumented**: that is, code from
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the system's components must emit [signals], such as [traces], [metrics], and
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[logs].
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Using OpenTelemetry, you can instrument your code in two primary ways:
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- Libraries can leverage the OpenTelemetry API as a dependency, which will have
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no impact on applications using that library, unless the OpenTelemetry SDK is
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imported.
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- For each of the [signals] you have several methods at your disposal to
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create, process, and export them.
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- For each of the [signals] you have several methods at your disposal to create,
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process, and export them.
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- With [context propagation](../context-propagation/) built into the
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implementations, you can correlate signals regardless of where they are
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generated.

content/en/docs/what-is-opentelemetry.md

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of [telemetry data][] such as [traces], [metrics], and [logs].
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- **Open source**, as well as **vendor- and tool-agnostic**, meaning that it can be used
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with a broad variety of observability backends, including open source tools
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like [Jaeger] and [Prometheus], as well as commercial offerings. OpenTelemetry
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is **not** an observability backend itself.
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- **Open source**, as well as **vendor- and tool-agnostic**, meaning that it can
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be used with a broad variety of observability backends, including open source
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tools like [Jaeger] and [Prometheus], as well as commercial offerings.
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OpenTelemetry is **not** an observability backend itself.
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A major goal of OpenTelemetry is to enable easy instrumentation of your
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applications and systems, regardless of the programming language,

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