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[continuous profiler - python] update stack v2 docs (#31471)
* update stack v2 docs * Apply suggestions from code review Co-authored-by: Heston Hoffman <[email protected]> * address suggestions --------- Co-authored-by: Heston Hoffman <[email protected]>
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content/en/profiler/enabling/python.md

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@@ -110,23 +110,18 @@ enabled by default, you can turn it off by setting
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### Stack V2
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Stack V2 is the new stack sampler implementation for 64-bit CPython 3.8+ on Linux.
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It enhances the performance, accuracy, and reliability of Python CPU profiling.
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The feature is enabled by default from `ddtrace` versions 2.20+ and we highly recommend
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using the most recent release of the library to benefit from latest improvements
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and bug fixes. This feature activates our new stack sampling, collection and
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export system.
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The following are known issues and missing features from Stack V2:
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- `gunicorn` and Stack V2 results in performance degradation of services
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- `gevent` support is lacking
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- Exception sampling is missing
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If you find these as a blocker for enabling Stack V2 for your services, you can
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turn it off via setting `DD_PROFILING_STACK_V2_ENABLED=0`. If you find any other
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issue, then please proceed to escalate using appropriate support channels or
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file an issue on the [GitHub repository](https://github.com/DataDog/dd-trace-py).
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Stack V2 is the new stack sampler implementation for 64-bit CPython 3.8+ on
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Linux and macOS. It enhances the performance, accuracy, and reliability of
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Python CPU profiling. The feature is enabled by default from `ddtrace` versions
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2.20+. It is recommended to use the most recent release of the library to
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benefit from latest improvements and bug fixes. This feature activates a new
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stack sampling, collection, and export system.
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Exception sampling is missing from Stack V2. If you find this as a blocker for
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enabling Stack V2 for your services, you can turn it off by setting
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`DD_PROFILING_STACK_V2_ENABLED=0`. If you find any other issue,
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escalate using appropriate support channels or file an issue on the
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[GitHub repository](https://github.com/DataDog/dd-trace-py).
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