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Update docs/concepts/key-terms/tracing/index.mdx
Co-authored-by: Alex Krawiec <[email protected]>
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docs/concepts/key-terms/tracing/index.mdx

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@@ -14,7 +14,7 @@ Tracing involves capturing the timing and flow of requests and operations as the
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Distributed tracing provides a unified view of how a single request moves from the frontend to the backend and beyond. This is particularly useful in modern applications, which are often composed of multiple separate services working together. To get a distributed view of your application, instrument Sentry in both your frontend and your backend.
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With [distributed tracing](/concepts/key-terms/tracing/distributed-tracing/), you can identify performance bottlenecks that are affecting your application across different services and platforms. You can then use Sentry tools such as the [Trace Explorer](/product/explore/traces/) or [Trace View](/concepts/key-terms/tracing/trace-view/) page to dig deeper and find the root cause of the problem. Distributed tracing is particularly helpful for identifying problems that exist in actions taking place between multiple services that you can't debug using console logs, such as race conditions, [N+1 queries](/product/issues/issue-details/performance-issues/n-one-queries/), and [caching issues](/product/insights/caches/).
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With [distributed tracing](/concepts/key-terms/tracing/distributed-tracing/), you can identify performance bottlenecks that are affecting your application across different services and platforms. You can then use Sentry tools such as the [Trace Explorer](/product/explore/traces/) or [Trace View](/concepts/key-terms/tracing/trace-view/) page to dig deeper and find the root cause of the problem. Distributed tracing is particularly helpful for identifying problems that take place between multiple services that you can't debug using console logs, such as race conditions, [N+1 queries](/product/issues/issue-details/performance-issues/n-one-queries/), and [caching issues](/product/insights/caches/).
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### What's a Trace?
2020

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