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Update docs/concepts/key-terms/tracing/distributed-tracing.mdx
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docs/concepts/key-terms/tracing/distributed-tracing.mdx

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A tracing tool focuses on what happened (and when), logging events during a program's execution across multiple systems. Traces often include timestamps, allowing durations to be calculated, but their purpose is broader, showing how interconnected systems interact and how problems in one can affect another. While tracing can be useful if instrumented in just the frontend or backend, it's most powerful when set up for your full stack (distributed tracing).
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It's important to note that tracing is not [profiling](https://docs.sentry.io/product/explore/profiling/). A profiler measures various aspects of an application's operation, resulting in a statistical summary. While both diagnose application problems, they differ in what they measure and how data is recorded.
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It's important to note that tracing is not [profiling](/product/explore/profiling/). A profiler measures various aspects of an application's operation, resulting in a statistical summary. While both diagnose application problems, they differ in what they measure and how data is recorded.
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Learn more in this [Tracing: Frontend issues with backend solutions](https://sentry.io/resources/tracing-frontend-issues-with-backend-solutions/?original_referrer=https%3A%2F%2Fblog.sentry.io%2F) workshop.

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