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@KowalskiThomas KowalskiThomas commented Dec 29, 2025

Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a case (that I wasn't able to reproduce in a Docker image, but maybe my "code environment" didn't match the customer's exactly) where using uvloop results in a crash caused by PeriodicThread_start after uvloop tries to restart Threads after a fork.

#0   0x00007f9a7acdbefa cfree 
#1   0x00007f9a7accc6b5 pthread_create 
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread 
#3   0x00007f9a7a639d18 PeriodicThread_start 
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork 
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod 
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall 

Fix

The _after_fork boolean field marks that this thread object is in a "post-fork zombie state." When the flag is set to true, Thread methods (e.g. join) become no-ops because the threads do not exist anymore so we should not try to do something with them. By checking that same flag, we can tell that we are trying to start a Thread that doesn't really exist and so we shouldn't try to do it.

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cit-pr-commenter bot commented Dec 29, 2025

Codeowners resolved as

ddtrace/internal/_threads.cpp                                           @DataDog/apm-core-python
ddtrace/internal/_threads.pyi                                           @DataDog/apm-core-python
releasenotes/notes/profiling-fix-uvloop-crashes-097aea980e59ce36.yaml   @DataDog/apm-python
tests/internal/test_periodic.py                                         @DataDog/apm-core-python

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pr-commenter bot commented Dec 29, 2025

Performance SLOs

Comparing candidate kowalski/chore-profiling-fix-crash-with-uvloop-and-subprocess (7a244d3) with baseline main (240abfb)

📈 Performance Regressions (3 suites)
📈 iastaspects - 118/118

✅ add_aspect

Time: ✅ 17.957µs (SLO: <20.000µs 📉 -10.2%) vs baseline: 📈 +20.5%

Memory: ✅ 42.605MB (SLO: <43.250MB 🟡 -1.5%) vs baseline: +4.9%


✅ add_inplace_aspect

Time: ✅ 14.938µs (SLO: <20.000µs 📉 -25.3%) vs baseline: +0.4%

Memory: ✅ 42.625MB (SLO: <43.250MB 🟡 -1.4%) vs baseline: +4.9%


✅ add_inplace_noaspect

Time: ✅ 0.339µs (SLO: <10.000µs 📉 -96.6%) vs baseline: +0.1%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +4.9%


✅ add_noaspect

Time: ✅ 0.547µs (SLO: <10.000µs 📉 -94.5%) vs baseline: +0.4%

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ bytearray_aspect

Time: ✅ 17.889µs (SLO: <30.000µs 📉 -40.4%) vs baseline: -0.7%

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.9%


✅ bytearray_extend_aspect

Time: ✅ 23.927µs (SLO: <30.000µs 📉 -20.2%) vs baseline: +0.6%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ bytearray_extend_noaspect

Time: ✅ 2.740µs (SLO: <10.000µs 📉 -72.6%) vs baseline: -0.7%

Memory: ✅ 42.664MB (SLO: <43.500MB 🟡 -1.9%) vs baseline: +5.1%


✅ bytearray_noaspect

Time: ✅ 1.460µs (SLO: <10.000µs 📉 -85.4%) vs baseline: -0.9%

Memory: ✅ 42.546MB (SLO: <43.500MB -2.2%) vs baseline: +4.7%


✅ bytes_aspect

Time: ✅ 16.616µs (SLO: <20.000µs 📉 -16.9%) vs baseline: ~same

Memory: ✅ 42.546MB (SLO: <43.500MB -2.2%) vs baseline: +4.7%


✅ bytes_noaspect

Time: ✅ 1.414µs (SLO: <10.000µs 📉 -85.9%) vs baseline: -1.2%

Memory: ✅ 42.684MB (SLO: <43.500MB 🟡 -1.9%) vs baseline: +5.2%


✅ bytesio_aspect

Time: ✅ 55.265µs (SLO: <70.000µs 📉 -21.0%) vs baseline: -0.8%

Memory: ✅ 42.625MB (SLO: <43.500MB -2.0%) vs baseline: +4.9%


✅ bytesio_noaspect

Time: ✅ 3.268µs (SLO: <10.000µs 📉 -67.3%) vs baseline: +0.1%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.7%


✅ capitalize_aspect

Time: ✅ 14.618µs (SLO: <20.000µs 📉 -26.9%) vs baseline: -0.2%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +5.1%


✅ capitalize_noaspect

Time: ✅ 2.601µs (SLO: <10.000µs 📉 -74.0%) vs baseline: +0.5%

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +5.0%


✅ casefold_aspect

Time: ✅ 14.675µs (SLO: <20.000µs 📉 -26.6%) vs baseline: -0.3%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ casefold_noaspect

Time: ✅ 3.155µs (SLO: <10.000µs 📉 -68.4%) vs baseline: -0.5%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.9%


✅ decode_aspect

Time: ✅ 15.574µs (SLO: <30.000µs 📉 -48.1%) vs baseline: -0.5%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +5.0%


✅ decode_noaspect

Time: ✅ 1.612µs (SLO: <10.000µs 📉 -83.9%) vs baseline: -0.5%

Memory: ✅ 42.625MB (SLO: <43.500MB -2.0%) vs baseline: +5.1%


✅ encode_aspect

Time: ✅ 18.186µs (SLO: <30.000µs 📉 -39.4%) vs baseline: 📈 +22.8%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +4.7%


✅ encode_noaspect

Time: ✅ 1.508µs (SLO: <10.000µs 📉 -84.9%) vs baseline: +0.5%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +5.0%


✅ format_aspect

Time: ✅ 170.902µs (SLO: <200.000µs 📉 -14.5%) vs baseline: ~same

Memory: ✅ 42.664MB (SLO: <43.250MB 🟡 -1.4%) vs baseline: +4.9%


✅ format_map_aspect

Time: ✅ 190.972µs (SLO: <200.000µs -4.5%) vs baseline: +0.1%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +5.0%


✅ format_map_noaspect

Time: ✅ 3.816µs (SLO: <10.000µs 📉 -61.8%) vs baseline: +0.5%

Memory: ✅ 42.585MB (SLO: <43.250MB 🟡 -1.5%) vs baseline: +4.9%


✅ format_noaspect

Time: ✅ 3.144µs (SLO: <10.000µs 📉 -68.6%) vs baseline: -0.3%

Memory: ✅ 42.605MB (SLO: <43.250MB 🟡 -1.5%) vs baseline: +4.9%


✅ index_aspect

Time: ✅ 15.262µs (SLO: <20.000µs 📉 -23.7%) vs baseline: -0.8%

Memory: ✅ 42.566MB (SLO: <43.250MB 🟡 -1.6%) vs baseline: +4.8%


✅ index_noaspect

Time: ✅ 0.464µs (SLO: <10.000µs 📉 -95.4%) vs baseline: ~same

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ join_aspect

Time: ✅ 17.121µs (SLO: <20.000µs 📉 -14.4%) vs baseline: +0.3%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.9%


✅ join_noaspect

Time: ✅ 1.555µs (SLO: <10.000µs 📉 -84.5%) vs baseline: +0.7%

Memory: ✅ 42.585MB (SLO: <43.250MB 🟡 -1.5%) vs baseline: +4.9%


✅ ljust_aspect

Time: ✅ 20.855µs (SLO: <30.000µs 📉 -30.5%) vs baseline: +0.3%

Memory: ✅ 42.585MB (SLO: <43.250MB 🟡 -1.5%) vs baseline: +4.7%


✅ ljust_noaspect

Time: ✅ 2.741µs (SLO: <10.000µs 📉 -72.6%) vs baseline: -0.3%

Memory: ✅ 42.566MB (SLO: <43.250MB 🟡 -1.6%) vs baseline: +5.0%


✅ lower_aspect

Time: ✅ 17.953µs (SLO: <30.000µs 📉 -40.2%) vs baseline: +0.8%

Memory: ✅ 42.703MB (SLO: <43.500MB 🟡 -1.8%) vs baseline: +5.2%


✅ lower_noaspect

Time: ✅ 2.418µs (SLO: <10.000µs 📉 -75.8%) vs baseline: -0.2%

Memory: ✅ 42.664MB (SLO: <43.250MB 🟡 -1.4%) vs baseline: +5.0%


✅ lstrip_aspect

Time: ✅ 17.672µs (SLO: <30.000µs 📉 -41.1%) vs baseline: +0.3%

Memory: ✅ 42.684MB (SLO: <43.250MB 🟡 -1.3%) vs baseline: +5.0%


✅ lstrip_noaspect

Time: ✅ 1.871µs (SLO: <10.000µs 📉 -81.3%) vs baseline: -0.2%

Memory: ✅ 42.526MB (SLO: <43.500MB -2.2%) vs baseline: +4.9%


✅ modulo_aspect

Time: ✅ 166.077µs (SLO: <200.000µs 📉 -17.0%) vs baseline: ~same

Memory: ✅ 42.625MB (SLO: <43.500MB -2.0%) vs baseline: +5.1%


✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 174.647µs (SLO: <200.000µs 📉 -12.7%) vs baseline: +0.2%

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.9%


✅ modulo_aspect_for_bytes

Time: ✅ 168.416µs (SLO: <200.000µs 📉 -15.8%) vs baseline: -0.2%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +5.2%


✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 172.042µs (SLO: <200.000µs 📉 -14.0%) vs baseline: +0.3%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ modulo_noaspect

Time: ✅ 3.757µs (SLO: <10.000µs 📉 -62.4%) vs baseline: +2.2%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ replace_aspect

Time: ✅ 211.922µs (SLO: <300.000µs 📉 -29.4%) vs baseline: ~same

Memory: ✅ 42.664MB (SLO: <44.000MB -3.0%) vs baseline: +4.6%


✅ replace_noaspect

Time: ✅ 2.916µs (SLO: <10.000µs 📉 -70.8%) vs baseline: ~same

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +5.0%


✅ repr_aspect

Time: ✅ 1.412µs (SLO: <10.000µs 📉 -85.9%) vs baseline: -0.1%

Memory: ✅ 42.625MB (SLO: <43.500MB -2.0%) vs baseline: +5.0%


✅ repr_noaspect

Time: ✅ 0.525µs (SLO: <10.000µs 📉 -94.8%) vs baseline: +0.1%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +4.5%


✅ rstrip_aspect

Time: ✅ 18.985µs (SLO: <30.000µs 📉 -36.7%) vs baseline: ~same

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.6%


✅ rstrip_noaspect

Time: ✅ 2.049µs (SLO: <10.000µs 📉 -79.5%) vs baseline: +6.4%

Memory: ✅ 42.507MB (SLO: <43.500MB -2.3%) vs baseline: +4.7%


✅ slice_aspect

Time: ✅ 15.939µs (SLO: <20.000µs 📉 -20.3%) vs baseline: +0.7%

Memory: ✅ 42.625MB (SLO: <43.500MB -2.0%) vs baseline: +4.9%


✅ slice_noaspect

Time: ✅ 0.598µs (SLO: <10.000µs 📉 -94.0%) vs baseline: +0.4%

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.7%


✅ stringio_aspect

Time: ✅ 53.707µs (SLO: <80.000µs 📉 -32.9%) vs baseline: -1.2%

Memory: ✅ 42.526MB (SLO: <43.500MB -2.2%) vs baseline: +4.6%


✅ stringio_noaspect

Time: ✅ 3.643µs (SLO: <10.000µs 📉 -63.6%) vs baseline: -0.7%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +5.0%


✅ strip_aspect

Time: ✅ 17.593µs (SLO: <20.000µs 📉 -12.0%) vs baseline: -0.2%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +5.0%


✅ strip_noaspect

Time: ✅ 1.867µs (SLO: <10.000µs 📉 -81.3%) vs baseline: -0.1%

Memory: ✅ 42.546MB (SLO: <43.500MB -2.2%) vs baseline: +4.8%


✅ swapcase_aspect

Time: ✅ 18.499µs (SLO: <30.000µs 📉 -38.3%) vs baseline: +0.2%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +4.8%


✅ swapcase_noaspect

Time: ✅ 2.805µs (SLO: <10.000µs 📉 -71.9%) vs baseline: +0.5%

Memory: ✅ 42.585MB (SLO: <43.500MB -2.1%) vs baseline: +4.8%


✅ title_aspect

Time: ✅ 22.011µs (SLO: <30.000µs 📉 -26.6%) vs baseline: 📈 +20.8%

Memory: ✅ 42.605MB (SLO: <43.000MB 🟡 -0.9%) vs baseline: +4.9%


✅ title_noaspect

Time: ✅ 2.680µs (SLO: <10.000µs 📉 -73.2%) vs baseline: ~same

Memory: ✅ 42.546MB (SLO: <43.500MB -2.2%) vs baseline: +4.8%


✅ translate_aspect

Time: ✅ 20.512µs (SLO: <30.000µs 📉 -31.6%) vs baseline: +0.2%

Memory: ✅ 42.743MB (SLO: <43.500MB 🟡 -1.7%) vs baseline: +5.1%


✅ translate_noaspect

Time: ✅ 4.343µs (SLO: <10.000µs 📉 -56.6%) vs baseline: +0.2%

Memory: ✅ 42.684MB (SLO: <43.500MB 🟡 -1.9%) vs baseline: +5.1%


✅ upper_aspect

Time: ✅ 18.049µs (SLO: <30.000µs 📉 -39.8%) vs baseline: +0.7%

Memory: ✅ 42.566MB (SLO: <43.500MB -2.1%) vs baseline: +4.9%


✅ upper_noaspect

Time: ✅ 2.430µs (SLO: <10.000µs 📉 -75.7%) vs baseline: ~same

Memory: ✅ 42.526MB (SLO: <43.500MB -2.2%) vs baseline: +4.6%


📈 iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 5.154µs (SLO: <10.000µs 📉 -48.5%) vs baseline: 📈 +20.5%

Memory: ✅ 42.487MB (SLO: <43.500MB -2.3%) vs baseline: +4.8%


✅ ospathbasename_noaspect

Time: ✅ 4.346µs (SLO: <10.000µs 📉 -56.5%) vs baseline: +2.0%

Memory: ✅ 42.487MB (SLO: <43.500MB -2.3%) vs baseline: +4.8%


✅ ospathjoin_aspect

Time: ✅ 6.267µs (SLO: <10.000µs 📉 -37.3%) vs baseline: ~same

Memory: ✅ 42.389MB (SLO: <43.500MB -2.6%) vs baseline: +4.6%


✅ ospathjoin_noaspect

Time: ✅ 6.276µs (SLO: <10.000µs 📉 -37.2%) vs baseline: -0.3%

Memory: ✅ 42.448MB (SLO: <43.500MB -2.4%) vs baseline: +4.8%


✅ ospathnormcase_aspect

Time: ✅ 3.586µs (SLO: <10.000µs 📉 -64.1%) vs baseline: +0.6%

Memory: ✅ 42.408MB (SLO: <43.500MB -2.5%) vs baseline: +4.6%


✅ ospathnormcase_noaspect

Time: ✅ 3.609µs (SLO: <10.000µs 📉 -63.9%) vs baseline: +0.2%

Memory: ✅ 42.487MB (SLO: <43.500MB -2.3%) vs baseline: +4.6%


✅ ospathsplit_aspect

Time: ✅ 4.887µs (SLO: <10.000µs 📉 -51.1%) vs baseline: +0.2%

Memory: ✅ 42.448MB (SLO: <43.500MB -2.4%) vs baseline: +4.7%


✅ ospathsplit_noaspect

Time: ✅ 5.025µs (SLO: <10.000µs 📉 -49.7%) vs baseline: +0.4%

Memory: ✅ 42.408MB (SLO: <43.500MB -2.5%) vs baseline: +4.4%


✅ ospathsplitdrive_aspect

Time: ✅ 3.799µs (SLO: <10.000µs 📉 -62.0%) vs baseline: +1.1%

Memory: ✅ 42.487MB (SLO: <43.500MB -2.3%) vs baseline: +4.6%


✅ ospathsplitdrive_noaspect

Time: ✅ 0.744µs (SLO: <10.000µs 📉 -92.6%) vs baseline: -1.5%

Memory: ✅ 42.487MB (SLO: <43.500MB -2.3%) vs baseline: +4.4%


✅ ospathsplitext_aspect

Time: ✅ 4.595µs (SLO: <10.000µs 📉 -54.1%) vs baseline: -1.0%

Memory: ✅ 42.507MB (SLO: <43.500MB -2.3%) vs baseline: +4.7%


✅ ospathsplitext_noaspect

Time: ✅ 4.691µs (SLO: <10.000µs 📉 -53.1%) vs baseline: +1.4%

Memory: ✅ 42.526MB (SLO: <43.500MB -2.2%) vs baseline: +4.9%


📈 telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 3.403µs (SLO: <20.000µs 📉 -83.0%) vs baseline: 📈 +14.9%

Memory: ✅ 34.977MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +5.4%


✅ 1-count-metrics-100-times

Time: ✅ 199.816µs (SLO: <220.000µs -9.2%) vs baseline: +0.4%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.9%


✅ 1-distribution-metric-1-times

Time: ✅ 3.304µs (SLO: <20.000µs 📉 -83.5%) vs baseline: -0.2%

Memory: ✅ 34.918MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +5.0%


✅ 1-distribution-metrics-100-times

Time: ✅ 211.909µs (SLO: <230.000µs -7.9%) vs baseline: -0.7%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.7%


✅ 1-gauge-metric-1-times

Time: ✅ 2.178µs (SLO: <20.000µs 📉 -89.1%) vs baseline: -0.8%

Memory: ✅ 34.780MB (SLO: <35.500MB -2.0%) vs baseline: +4.3%


✅ 1-gauge-metrics-100-times

Time: ✅ 137.717µs (SLO: <150.000µs -8.2%) vs baseline: +1.2%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +5.0%


✅ 1-rate-metric-1-times

Time: ✅ 3.152µs (SLO: <20.000µs 📉 -84.2%) vs baseline: +0.9%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.1%


✅ 1-rate-metrics-100-times

Time: ✅ 213.585µs (SLO: <250.000µs 📉 -14.6%) vs baseline: +0.6%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.9%


✅ 100-count-metrics-100-times

Time: ✅ 20.298ms (SLO: <22.000ms -7.7%) vs baseline: +1.3%

Memory: ✅ 34.760MB (SLO: <35.500MB -2.1%) vs baseline: +4.6%


✅ 100-distribution-metrics-100-times

Time: ✅ 2.229ms (SLO: <2.550ms 📉 -12.6%) vs baseline: -0.1%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +4.9%


✅ 100-gauge-metrics-100-times

Time: ✅ 1.425ms (SLO: <1.550ms -8.1%) vs baseline: +0.8%

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.2%


✅ 100-rate-metrics-100-times

Time: ✅ 2.217ms (SLO: <2.550ms 📉 -13.1%) vs baseline: +0.7%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.8%


✅ flush-1-metric

Time: ✅ 4.591µs (SLO: <20.000µs 📉 -77.0%) vs baseline: +0.8%

Memory: ✅ 35.173MB (SLO: <35.500MB 🟡 -0.9%) vs baseline: +5.0%


✅ flush-100-metrics

Time: ✅ 173.905µs (SLO: <250.000µs 📉 -30.4%) vs baseline: ~same

Memory: ✅ 35.134MB (SLO: <35.500MB 🟡 -1.0%) vs baseline: +4.6%


✅ flush-1000-metrics

Time: ✅ 2.166ms (SLO: <2.500ms 📉 -13.4%) vs baseline: -0.8%

Memory: ✅ 35.960MB (SLO: <36.500MB 🟡 -1.5%) vs baseline: +4.9%

🟡 Near SLO Breach (16 suites)
🟡 coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.242µs (SLO: <20.000µs 📉 -33.8%) vs baseline: -0.3%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.6%


✅ context_with_data_no_listeners

Time: ✅ 3.279µs (SLO: <10.000µs 📉 -67.2%) vs baseline: -0.1%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +5.0%


✅ get_item_exists

Time: ✅ 0.578µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -1.1%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.9%


✅ get_item_missing

Time: ✅ 0.636µs (SLO: <10.000µs 📉 -93.6%) vs baseline: +0.6%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +5.0%


✅ set_item

Time: ✅ 24.195µs (SLO: <30.000µs 📉 -19.3%) vs baseline: ~same

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.7%


🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 19.611ms (SLO: <22.300ms 📉 -12.1%) vs baseline: +0.2%

Memory: ✅ 68.361MB (SLO: <70.500MB -3.0%) vs baseline: +4.8%


✅ exception-replay-enabled

Time: ✅ 1.358ms (SLO: <1.450ms -6.3%) vs baseline: -0.3%

Memory: ✅ 66.527MB (SLO: <67.500MB 🟡 -1.4%) vs baseline: +5.0%


✅ iast

Time: ✅ 19.593ms (SLO: <22.250ms 📉 -11.9%) vs baseline: +0.4%

Memory: ✅ 68.380MB (SLO: <70.000MB -2.3%) vs baseline: +4.8%


✅ profiler

Time: ✅ 15.298ms (SLO: <16.550ms -7.6%) vs baseline: +3.8%

Memory: ✅ 56.523MB (SLO: <57.500MB 🟡 -1.7%) vs baseline: +5.1%


✅ resource-renaming

Time: ✅ 19.478ms (SLO: <21.750ms 📉 -10.4%) vs baseline: +0.2%

Memory: ✅ 68.459MB (SLO: <70.500MB -2.9%) vs baseline: +5.0%


✅ span-code-origin

Time: ✅ 19.982ms (SLO: <28.200ms 📉 -29.1%) vs baseline: +1.1%

Memory: ✅ 68.192MB (SLO: <71.000MB -4.0%) vs baseline: +4.9%


✅ tracer

Time: ✅ 19.552ms (SLO: <21.750ms 📉 -10.1%) vs baseline: -0.1%

Memory: ✅ 68.321MB (SLO: <70.000MB -2.4%) vs baseline: +4.9%


✅ tracer-and-profiler

Time: ✅ 21.594ms (SLO: <23.500ms -8.1%) vs baseline: +3.4%

Memory: ✅ 69.855MB (SLO: <71.000MB 🟡 -1.6%) vs baseline: +5.6%


✅ tracer-dont-create-db-spans

Time: ✅ 19.594ms (SLO: <21.500ms -8.9%) vs baseline: -0.2%

Memory: ✅ 68.321MB (SLO: <70.000MB -2.4%) vs baseline: +4.8%


✅ tracer-minimal

Time: ✅ 16.780ms (SLO: <17.500ms -4.1%) vs baseline: -0.2%

Memory: ✅ 68.358MB (SLO: <70.000MB -2.3%) vs baseline: +5.0%


✅ tracer-native

Time: ✅ 19.522ms (SLO: <21.750ms 📉 -10.2%) vs baseline: ~same

Memory: ✅ 68.361MB (SLO: <72.500MB -5.7%) vs baseline: +4.9%


✅ tracer-no-caches

Time: ✅ 18.011ms (SLO: <19.650ms -8.3%) vs baseline: ~same

Memory: ✅ 68.338MB (SLO: <70.000MB -2.4%) vs baseline: +4.8%


✅ tracer-no-databases

Time: ✅ 19.436ms (SLO: <20.100ms -3.3%) vs baseline: -0.5%

Memory: ✅ 68.066MB (SLO: <70.000MB -2.8%) vs baseline: +4.4%


✅ tracer-no-middleware

Time: ✅ 19.289ms (SLO: <21.500ms 📉 -10.3%) vs baseline: ~same

Memory: ✅ 68.378MB (SLO: <70.000MB -2.3%) vs baseline: +4.9%


✅ tracer-no-templates

Time: ✅ 19.483ms (SLO: <22.000ms 📉 -11.4%) vs baseline: +0.7%

Memory: ✅ 68.415MB (SLO: <70.500MB -3.0%) vs baseline: +4.9%


🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 16.288ms (SLO: <19.850ms 📉 -17.9%) vs baseline: -0.4%

Memory: ✅ 69.847MB (SLO: <70.000MB 🟡 -0.2%) vs baseline: +4.8%


✅ errortracking-enabled-user

Time: ✅ 16.346ms (SLO: <19.400ms 📉 -15.7%) vs baseline: ~same

Memory: ✅ 69.811MB (SLO: <70.000MB 🟡 -0.3%) vs baseline: +4.7%


✅ tracer-enabled

Time: ✅ 16.289ms (SLO: <19.450ms 📉 -16.3%) vs baseline: -0.3%

Memory: ✅ 69.835MB (SLO: <70.000MB 🟡 -0.2%) vs baseline: +4.9%


🟡 errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.067ms (SLO: <2.300ms 📉 -10.1%) vs baseline: ~same

Memory: ✅ 55.896MB (SLO: <56.500MB 🟡 -1.1%) vs baseline: +4.9%


✅ errortracking-enabled-user

Time: ✅ 2.079ms (SLO: <2.250ms -7.6%) vs baseline: +0.4%

Memory: ✅ 55.915MB (SLO: <56.500MB 🟡 -1.0%) vs baseline: +4.9%


✅ tracer-enabled

Time: ✅ 2.066ms (SLO: <2.300ms 📉 -10.2%) vs baseline: ~same

Memory: ✅ 55.837MB (SLO: <56.500MB 🟡 -1.2%) vs baseline: +4.7%


🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 3.376ms (SLO: <4.750ms 📉 -28.9%) vs baseline: ~same

Memory: ✅ 55.935MB (SLO: <66.500MB 📉 -15.9%) vs baseline: +4.8%


✅ appsec-post

Time: ✅ 2.855ms (SLO: <6.750ms 📉 -57.7%) vs baseline: +0.2%

Memory: ✅ 55.837MB (SLO: <66.500MB 📉 -16.0%) vs baseline: +5.0%


✅ appsec-telemetry

Time: ✅ 3.407ms (SLO: <4.750ms 📉 -28.3%) vs baseline: +0.9%

Memory: ✅ 55.827MB (SLO: <66.500MB 📉 -16.0%) vs baseline: +4.7%


✅ debugger

Time: ✅ 1.869ms (SLO: <2.000ms -6.5%) vs baseline: ~same

Memory: ✅ 47.716MB (SLO: <49.500MB -3.6%) vs baseline: +4.7%


✅ iast-get

Time: ✅ 1.864ms (SLO: <2.000ms -6.8%) vs baseline: +0.2%

Memory: ✅ 44.829MB (SLO: <49.000MB -8.5%) vs baseline: +5.0%


✅ profiler

Time: ✅ 1.896ms (SLO: <2.100ms -9.7%) vs baseline: +1.5%

Memory: ✅ 48.819MB (SLO: <50.000MB -2.4%) vs baseline: +5.2%


✅ resource-renaming

Time: ✅ 3.354ms (SLO: <3.650ms -8.1%) vs baseline: +0.2%

Memory: ✅ 55.896MB (SLO: <56.000MB 🟡 -0.2%) vs baseline: +4.8%


✅ tracer

Time: ✅ 3.366ms (SLO: <3.650ms -7.8%) vs baseline: -0.2%

Memory: ✅ 55.836MB (SLO: <56.500MB 🟡 -1.2%) vs baseline: +4.9%


✅ tracer-native

Time: ✅ 3.368ms (SLO: <3.650ms -7.7%) vs baseline: +0.2%

Memory: ✅ 55.924MB (SLO: <60.000MB -6.8%) vs baseline: +4.9%


🟡 flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 2.063ms (SLO: <4.200ms 📉 -50.9%) vs baseline: +0.2%

Memory: ✅ 55.896MB (SLO: <66.000MB 📉 -15.3%) vs baseline: +4.9%


✅ iast-enabled

Time: ✅ 2.071ms (SLO: <2.800ms 📉 -26.1%) vs baseline: ~same

Memory: ✅ 55.915MB (SLO: <62.500MB 📉 -10.5%) vs baseline: +4.9%


✅ tracer-enabled

Time: ✅ 2.058ms (SLO: <2.250ms -8.5%) vs baseline: -0.1%

Memory: ✅ 55.935MB (SLO: <56.500MB 🟡 -1.0%) vs baseline: +5.0%


🟡 httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 80.909µs (SLO: <100.000µs 📉 -19.1%) vs baseline: -0.7%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.6%


✅ b3_headers

Time: ✅ 14.360µs (SLO: <20.000µs 📉 -28.2%) vs baseline: ~same

Memory: ✅ 34.977MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +4.9%


✅ b3_single_headers

Time: ✅ 14.359µs (SLO: <20.000µs 📉 -28.2%) vs baseline: +5.9%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.4%


✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 64.221µs (SLO: <80.000µs 📉 -19.7%) vs baseline: +0.4%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +5.2%


✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 66.068µs (SLO: <80.000µs 📉 -17.4%) vs baseline: -0.5%

Memory: ✅ 34.957MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +4.6%


✅ empty_headers

Time: ✅ 1.629µs (SLO: <10.000µs 📉 -83.7%) vs baseline: +1.9%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +4.8%


✅ full_t_id_datadog_headers

Time: ✅ 22.867µs (SLO: <30.000µs 📉 -23.8%) vs baseline: -0.3%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +4.7%


✅ invalid_priority_header

Time: ✅ 6.557µs (SLO: <10.000µs 📉 -34.4%) vs baseline: +0.6%

Memory: ✅ 34.957MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +4.7%


✅ invalid_span_id_header

Time: ✅ 6.553µs (SLO: <10.000µs 📉 -34.5%) vs baseline: +1.1%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +4.4%


✅ invalid_tags_header

Time: ✅ 6.542µs (SLO: <10.000µs 📉 -34.6%) vs baseline: +0.7%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +4.8%


✅ invalid_trace_id_header

Time: ✅ 6.542µs (SLO: <10.000µs 📉 -34.6%) vs baseline: -0.2%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +5.0%


✅ large_header_no_matches

Time: ✅ 27.575µs (SLO: <30.000µs -8.1%) vs baseline: +0.2%

Memory: ✅ 34.977MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +5.0%


✅ large_valid_headers_all

Time: ✅ 28.667µs (SLO: <40.000µs 📉 -28.3%) vs baseline: +0.3%

Memory: ✅ 34.957MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +4.9%


✅ medium_header_no_matches

Time: ✅ 9.889µs (SLO: <20.000µs 📉 -50.6%) vs baseline: +0.6%

Memory: ✅ 34.918MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.7%


✅ medium_valid_headers_all

Time: ✅ 11.293µs (SLO: <20.000µs 📉 -43.5%) vs baseline: -0.6%

Memory: ✅ 35.055MB (SLO: <35.500MB 🟡 -1.3%) vs baseline: +5.2%


✅ none_propagation_style

Time: ✅ 1.705µs (SLO: <10.000µs 📉 -83.0%) vs baseline: -0.2%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +5.1%


✅ tracecontext_headers

Time: ✅ 34.878µs (SLO: <40.000µs 📉 -12.8%) vs baseline: +0.2%

Memory: ✅ 34.977MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +4.9%


✅ valid_headers_all

Time: ✅ 6.565µs (SLO: <10.000µs 📉 -34.3%) vs baseline: +0.7%

Memory: ✅ 35.016MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +5.0%


✅ valid_headers_basic

Time: ✅ 6.133µs (SLO: <10.000µs 📉 -38.7%) vs baseline: +0.8%

Memory: ✅ 35.016MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +5.0%


✅ wsgi_empty_headers

Time: ✅ 1.591µs (SLO: <10.000µs 📉 -84.1%) vs baseline: -1.2%

Memory: ✅ 35.016MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +5.0%


✅ wsgi_invalid_priority_header

Time: ✅ 6.637µs (SLO: <10.000µs 📉 -33.6%) vs baseline: +1.3%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.8%


✅ wsgi_invalid_span_id_header

Time: ✅ 1.603µs (SLO: <10.000µs 📉 -84.0%) vs baseline: ~same

Memory: ✅ 35.055MB (SLO: <35.500MB 🟡 -1.3%) vs baseline: +5.3%


✅ wsgi_invalid_tags_header

Time: ✅ 6.602µs (SLO: <10.000µs 📉 -34.0%) vs baseline: +1.1%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.8%


✅ wsgi_invalid_trace_id_header

Time: ✅ 6.630µs (SLO: <10.000µs 📉 -33.7%) vs baseline: +0.9%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.7%


✅ wsgi_large_header_no_matches

Time: ✅ 28.640µs (SLO: <40.000µs 📉 -28.4%) vs baseline: -0.1%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +5.0%


✅ wsgi_large_valid_headers_all

Time: ✅ 30.003µs (SLO: <40.000µs 📉 -25.0%) vs baseline: +0.5%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +4.9%


✅ wsgi_medium_header_no_matches

Time: ✅ 10.128µs (SLO: <20.000µs 📉 -49.4%) vs baseline: +0.5%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +5.0%


✅ wsgi_medium_valid_headers_all

Time: ✅ 11.654µs (SLO: <20.000µs 📉 -41.7%) vs baseline: +0.9%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.5%


✅ wsgi_valid_headers_all

Time: ✅ 6.631µs (SLO: <10.000µs 📉 -33.7%) vs baseline: +1.0%

Memory: ✅ 34.996MB (SLO: <35.500MB 🟡 -1.4%) vs baseline: +4.6%


✅ wsgi_valid_headers_basic

Time: ✅ 6.158µs (SLO: <10.000µs 📉 -38.4%) vs baseline: +0.9%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.9%


🟡 httppropagationinject - 16/16

✅ ids_only

Time: ✅ 22.076µs (SLO: <30.000µs 📉 -26.4%) vs baseline: +5.4%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +4.7%


✅ with_all

Time: ✅ 27.915µs (SLO: <40.000µs 📉 -30.2%) vs baseline: +0.6%

Memory: ✅ 34.937MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +4.9%


✅ with_dd_origin

Time: ✅ 24.802µs (SLO: <30.000µs 📉 -17.3%) vs baseline: +0.7%

Memory: ✅ 34.957MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +5.2%


✅ with_priority_and_origin

Time: ✅ 23.925µs (SLO: <40.000µs 📉 -40.2%) vs baseline: -1.0%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.5%


✅ with_sampling_priority

Time: ✅ 20.967µs (SLO: <30.000µs 📉 -30.1%) vs baseline: -0.4%

Memory: ✅ 34.957MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +5.1%


✅ with_tags

Time: ✅ 26.051µs (SLO: <40.000µs 📉 -34.9%) vs baseline: +0.4%

Memory: ✅ 34.957MB (SLO: <35.500MB 🟡 -1.5%) vs baseline: +5.0%


✅ with_tags_invalid

Time: ✅ 27.611µs (SLO: <40.000µs 📉 -31.0%) vs baseline: +0.5%

Memory: ✅ 34.878MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.8%


✅ with_tags_max_size

Time: ✅ 26.455µs (SLO: <40.000µs 📉 -33.9%) vs baseline: -0.4%

Memory: ✅ 34.898MB (SLO: <35.500MB 🟡 -1.7%) vs baseline: +4.7%


🟡 iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.613µs (SLO: <10.000µs 📉 -83.9%) vs baseline: +4.0%

Memory: ✅ 42.546MB (SLO: <43.500MB -2.2%) vs baseline: +5.0%


✅ rsplit_noaspect

Time: ✅ 1.632µs (SLO: <10.000µs 📉 -83.7%) vs baseline: +0.7%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +4.7%


✅ split_aspect

Time: ✅ 1.553µs (SLO: <10.000µs 📉 -84.5%) vs baseline: +0.6%

Memory: ✅ 42.625MB (SLO: <43.500MB -2.0%) vs baseline: +5.0%


✅ split_noaspect

Time: ✅ 1.629µs (SLO: <10.000µs 📉 -83.7%) vs baseline: -0.6%

Memory: ✅ 42.605MB (SLO: <43.500MB -2.1%) vs baseline: +4.6%


✅ splitlines_aspect

Time: ✅ 1.501µs (SLO: <10.000µs 📉 -85.0%) vs baseline: +0.3%

Memory: ✅ 42.507MB (SLO: <43.500MB -2.3%) vs baseline: +4.6%


✅ splitlines_noaspect

Time: ✅ 1.558µs (SLO: <10.000µs 📉 -84.4%) vs baseline: +0.9%

Memory: ✅ 42.644MB (SLO: <43.500MB 🟡 -2.0%) vs baseline: +5.1%


🟡 otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.444ms (SLO: <42.000ms -3.7%) vs baseline: +0.3%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.6%


✅ add-link

Time: ✅ 36.584ms (SLO: <38.550ms -5.1%) vs baseline: +1.1%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +5.1%


✅ add-metrics

Time: ✅ 220.397ms (SLO: <232.000ms -5.0%) vs baseline: +0.9%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.8%


✅ add-tags

Time: ✅ 213.509ms (SLO: <221.600ms -3.7%) vs baseline: +0.3%

Memory: ✅ 37.493MB (SLO: <39.000MB -3.9%) vs baseline: +4.5%


✅ get-context

Time: ✅ 29.196ms (SLO: <31.300ms -6.7%) vs baseline: +0.7%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.8%


✅ is-recording

Time: ✅ 29.328ms (SLO: <31.000ms -5.4%) vs baseline: +0.4%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +4.7%


✅ record-exception

Time: ✅ 63.335ms (SLO: <65.850ms -3.8%) vs baseline: ~same

Memory: ✅ 37.690MB (SLO: <39.000MB -3.4%) vs baseline: +5.2%


✅ set-status

Time: ✅ 32.092ms (SLO: <34.150ms -6.0%) vs baseline: +0.9%

Memory: ✅ 37.709MB (SLO: <39.000MB -3.3%) vs baseline: +5.0%


✅ start

Time: ✅ 29.601ms (SLO: <30.150ms 🟡 -1.8%) vs baseline: +2.9%

Memory: ✅ 37.611MB (SLO: <39.000MB -3.6%) vs baseline: +4.5%


✅ start-finish

Time: ✅ 34.064ms (SLO: <35.350ms -3.6%) vs baseline: +0.7%

Memory: ✅ 37.650MB (SLO: <39.000MB -3.5%) vs baseline: +4.9%


✅ start-finish-telemetry

Time: ✅ 34.217ms (SLO: <35.450ms -3.5%) vs baseline: +0.7%

Memory: ✅ 37.670MB (SLO: <39.000MB -3.4%) vs baseline: +5.1%


✅ update-name

Time: ✅ 31.225ms (SLO: <33.400ms -6.5%) vs baseline: +1.1%

Memory: ✅ 37.631MB (SLO: <39.000MB -3.5%) vs baseline: +4.6%


🟡 ratelimiter - 12/12

✅ defaults

Time: ✅ 2.342µs (SLO: <10.000µs 📉 -76.6%) vs baseline: +0.2%

Memory: ✅ 35.114MB (SLO: <35.500MB 🟡 -1.1%) vs baseline: +4.9%


✅ high_rate_limit

Time: ✅ 2.389µs (SLO: <10.000µs 📉 -76.1%) vs baseline: -0.1%

Memory: ✅ 35.114MB (SLO: <35.500MB 🟡 -1.1%) vs baseline: +4.7%


✅ long_window

Time: ✅ 2.351µs (SLO: <10.000µs 📉 -76.5%) vs baseline: +0.8%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.3%


✅ low_rate_limit

Time: ✅ 2.352µs (SLO: <10.000µs 📉 -76.5%) vs baseline: +0.7%

Memory: ✅ 35.232MB (SLO: <35.500MB 🟡 -0.8%) vs baseline: +5.2%


✅ no_rate_limit

Time: ✅ 0.823µs (SLO: <10.000µs 📉 -91.8%) vs baseline: ~same

Memory: ✅ 35.075MB (SLO: <35.500MB 🟡 -1.2%) vs baseline: +5.5%


✅ short_window

Time: ✅ 2.465µs (SLO: <10.000µs 📉 -75.4%) vs baseline: ~same

Memory: ✅ 35.055MB (SLO: <35.500MB 🟡 -1.3%) vs baseline: +4.5%


🟡 recursivecomputation - 8/8

✅ deep

Time: ✅ 308.144ms (SLO: <320.950ms -4.0%) vs baseline: -0.3%

Memory: ✅ 36.117MB (SLO: <36.500MB 🟡 -1.0%) vs baseline: +5.3%


✅ deep-profiled

Time: ✅ 325.374ms (SLO: <359.150ms -9.4%) vs baseline: +3.2%

Memory: ✅ 39.990MB (SLO: <40.500MB 🟡 -1.3%) vs baseline: +5.1%


✅ medium

Time: ✅ 7.009ms (SLO: <7.400ms -5.3%) vs baseline: ~same

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +4.9%


✅ shallow

Time: ✅ 0.949ms (SLO: <1.050ms -9.6%) vs baseline: +0.8%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +4.9%


🟡 samplingrules - 8/8

✅ average_match

Time: ✅ 138.027µs (SLO: <290.000µs 📉 -52.4%) vs baseline: +0.3%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +4.7%


✅ high_match

Time: ✅ 174.838µs (SLO: <480.000µs 📉 -63.6%) vs baseline: +0.4%

Memory: ✅ 34.859MB (SLO: <35.500MB 🟡 -1.8%) vs baseline: +4.7%


✅ low_match

Time: ✅ 98.989µs (SLO: <120.000µs 📉 -17.5%) vs baseline: ~same

Memory: ✅ 603.753MB (SLO: <700.000MB 📉 -13.7%) vs baseline: +4.9%


✅ very_low_match

Time: ✅ 2.670ms (SLO: <8.500ms 📉 -68.6%) vs baseline: +0.7%

Memory: ✅ 71.179MB (SLO: <75.000MB -5.1%) vs baseline: +4.9%


🟡 sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.492µs (SLO: <20.000µs 📉 -47.5%) vs baseline: -1.1%

Memory: ✅ 35.724MB (SLO: <36.000MB 🟡 -0.8%) vs baseline: +4.6%


✅ all-enabled

Time: ✅ 40.805µs (SLO: <50.000µs 📉 -18.4%) vs baseline: +1.5%

Memory: ✅ 35.606MB (SLO: <36.000MB 🟡 -1.1%) vs baseline: +4.7%


✅ collectipvariant_exists

Time: ✅ 40.859µs (SLO: <50.000µs 📉 -18.3%) vs baseline: ~same

Memory: ✅ 35.684MB (SLO: <36.000MB 🟡 -0.9%) vs baseline: +5.1%


✅ no-collectipvariant

Time: ✅ 40.266µs (SLO: <50.000µs 📉 -19.5%) vs baseline: +0.4%

Memory: ✅ 35.684MB (SLO: <36.000MB 🟡 -0.9%) vs baseline: +5.1%


✅ no-useragentvariant

Time: ✅ 38.765µs (SLO: <50.000µs 📉 -22.5%) vs baseline: +0.3%

Memory: ✅ 35.665MB (SLO: <36.000MB 🟡 -0.9%) vs baseline: +4.9%


✅ obfuscation-no-query

Time: ✅ 40.658µs (SLO: <50.000µs 📉 -18.7%) vs baseline: ~same

Memory: ✅ 35.802MB (SLO: <36.000MB 🟡 -0.5%) vs baseline: +4.9%


✅ obfuscation-regular-case-explicit-query

Time: ✅ 75.855µs (SLO: <90.000µs 📉 -15.7%) vs baseline: -0.2%

Memory: ✅ 35.625MB (SLO: <36.500MB -2.4%) vs baseline: +4.6%


✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.372µs (SLO: <90.000µs 📉 -15.1%) vs baseline: -0.3%

Memory: ✅ 35.724MB (SLO: <36.500MB -2.1%) vs baseline: +4.8%


✅ obfuscation-send-querystring-disabled

Time: ✅ 153.612µs (SLO: <170.000µs -9.6%) vs baseline: -0.3%

Memory: ✅ 35.704MB (SLO: <36.500MB -2.2%) vs baseline: +4.6%


✅ obfuscation-worst-case-explicit-query

Time: ✅ 148.741µs (SLO: <160.000µs -7.0%) vs baseline: ~same

Memory: ✅ 35.724MB (SLO: <36.500MB -2.1%) vs baseline: +4.9%


✅ obfuscation-worst-case-implicit-query

Time: ✅ 154.320µs (SLO: <170.000µs -9.2%) vs baseline: -0.3%

Memory: ✅ 35.763MB (SLO: <36.500MB -2.0%) vs baseline: +5.0%


✅ useragentvariant_exists_1

Time: ✅ 39.679µs (SLO: <50.000µs 📉 -20.6%) vs baseline: +0.2%

Memory: ✅ 35.783MB (SLO: <36.000MB 🟡 -0.6%) vs baseline: +5.1%


✅ useragentvariant_exists_2

Time: ✅ 40.595µs (SLO: <50.000µs 📉 -18.8%) vs baseline: ~same

Memory: ✅ 35.704MB (SLO: <36.000MB 🟡 -0.8%) vs baseline: +5.1%


✅ useragentvariant_exists_3

Time: ✅ 40.138µs (SLO: <50.000µs 📉 -19.7%) vs baseline: ~same

Memory: ✅ 35.684MB (SLO: <36.000MB 🟡 -0.9%) vs baseline: +4.9%


✅ useragentvariant_not_exists_1

Time: ✅ 39.518µs (SLO: <50.000µs 📉 -21.0%) vs baseline: -0.6%

Memory: ✅ 35.724MB (SLO: <36.000MB 🟡 -0.8%) vs baseline: +4.9%


✅ useragentvariant_not_exists_2

Time: ✅ 39.502µs (SLO: <50.000µs 📉 -21.0%) vs baseline: ~same

Memory: ✅ 35.625MB (SLO: <36.000MB 🟡 -1.0%) vs baseline: +4.8%


🟡 span - 26/26

✅ add-event

Time: ✅ 18.289ms (SLO: <22.500ms 📉 -18.7%) vs baseline: +0.4%

Memory: ✅ 36.958MB (SLO: <53.000MB 📉 -30.3%) vs baseline: +4.8%


✅ add-metrics

Time: ✅ 88.047ms (SLO: <93.500ms -5.8%) vs baseline: -0.4%

Memory: ✅ 41.209MB (SLO: <53.000MB 📉 -22.2%) vs baseline: +5.2%


✅ add-tags

Time: ✅ 142.965ms (SLO: <155.000ms -7.8%) vs baseline: +0.2%

Memory: ✅ 41.149MB (SLO: <53.000MB 📉 -22.4%) vs baseline: +4.9%


✅ get-context

Time: ✅ 16.979ms (SLO: <20.500ms 📉 -17.2%) vs baseline: +0.4%

Memory: ✅ 36.763MB (SLO: <53.000MB 📉 -30.6%) vs baseline: +5.1%


✅ is-recording

Time: ✅ 17.352ms (SLO: <20.500ms 📉 -15.4%) vs baseline: +1.4%

Memory: ✅ 36.801MB (SLO: <53.000MB 📉 -30.6%) vs baseline: +4.8%


✅ record-exception

Time: ✅ 36.660ms (SLO: <40.000ms -8.3%) vs baseline: +0.2%

Memory: ✅ 37.406MB (SLO: <53.000MB 📉 -29.4%) vs baseline: +4.7%


✅ set-status

Time: ✅ 18.757ms (SLO: <22.000ms 📉 -14.7%) vs baseline: +0.4%

Memory: ✅ 36.874MB (SLO: <53.000MB 📉 -30.4%) vs baseline: +5.0%


✅ start

Time: ✅ 17.409ms (SLO: <20.500ms 📉 -15.1%) vs baseline: +3.1%

Memory: ✅ 36.860MB (SLO: <53.000MB 📉 -30.5%) vs baseline: +4.9%


✅ start-finish

Time: ✅ 51.053ms (SLO: <52.500ms -2.8%) vs baseline: ~same

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.6%


✅ start-finish-telemetry

Time: ✅ 52.385ms (SLO: <54.500ms -3.9%) vs baseline: -0.1%

Memory: ✅ 34.918MB (SLO: <35.500MB 🟡 -1.6%) vs baseline: +5.4%


✅ start-finish-traceid128

Time: ✅ 54.087ms (SLO: <57.000ms -5.1%) vs baseline: +0.3%

Memory: ✅ 34.800MB (SLO: <35.500MB 🟡 -2.0%) vs baseline: +4.9%


✅ start-traceid128

Time: ✅ 17.401ms (SLO: <22.500ms 📉 -22.7%) vs baseline: +0.3%

Memory: ✅ 36.743MB (SLO: <53.000MB 📉 -30.7%) vs baseline: +5.1%


✅ update-name

Time: ✅ 17.351ms (SLO: <22.000ms 📉 -21.1%) vs baseline: -0.3%

Memory: ✅ 36.983MB (SLO: <53.000MB 📉 -30.2%) vs baseline: +5.1%


🟡 tracer - 6/6

✅ large

Time: ✅ 29.102ms (SLO: <32.950ms 📉 -11.7%) vs baseline: -0.2%

Memory: ✅ 35.920MB (SLO: <36.500MB 🟡 -1.6%) vs baseline: +4.6%


✅ medium

Time: ✅ 2.890ms (SLO: <3.200ms -9.7%) vs baseline: +0.5%

Memory: ✅ 34.839MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +5.1%


✅ small

Time: ✅ 331.611µs (SLO: <370.000µs 📉 -10.4%) vs baseline: +2.2%

Memory: ✅ 34.819MB (SLO: <35.500MB 🟡 -1.9%) vs baseline: +4.7%

⚠️ Unstable Tests (1 suite)
⚠️ packagesupdateimporteddependencies - 24/24 (1 unstable)

✅ import_many

Time: ✅ 155.565µs (SLO: <170.000µs -8.5%) vs baseline: +0.4%

Memory: ✅ 39.596MB (SLO: <43.000MB -7.9%) vs baseline: +5.8%


✅ import_many_cached

Time: ✅ 121.557µs (SLO: <130.000µs -6.5%) vs baseline: +0.9%

Memory: ✅ 39.600MB (SLO: <43.000MB -7.9%) vs baseline: +5.5%


✅ import_many_stdlib

Time: ✅ 0.756ms (SLO: <1.750ms 📉 -56.8%) vs baseline: -0.3%

Memory: ✅ 39.581MB (SLO: <43.000MB -8.0%) vs baseline: +5.3%


⚠️ import_many_stdlib_cached

Time: ⚠️ 0.172ms (SLO: <1.100ms 📉 -84.4%) vs baseline: -0.2%

Memory: ✅ 39.356MB (SLO: <43.000MB -8.5%) vs baseline: +4.6%


✅ import_many_unknown

Time: ✅ 827.033µs (SLO: <890.000µs -7.1%) vs baseline: -0.8%

Memory: ✅ 39.423MB (SLO: <43.000MB -8.3%) vs baseline: +4.1%


✅ import_many_unknown_cached

Time: ✅ 786.796µs (SLO: <870.000µs -9.6%) vs baseline: -0.5%

Memory: ✅ 39.372MB (SLO: <43.000MB -8.4%) vs baseline: +4.5%


✅ import_one

Time: ✅ 19.910µs (SLO: <30.000µs 📉 -33.6%) vs baseline: +0.6%

Memory: ✅ 39.365MB (SLO: <43.000MB -8.5%) vs baseline: +3.9%


✅ import_one_cache

Time: ✅ 6.307µs (SLO: <10.000µs 📉 -36.9%) vs baseline: +0.2%

Memory: ✅ 39.484MB (SLO: <43.000MB -8.2%) vs baseline: +4.4%


✅ import_one_stdlib

Time: ✅ 18.868µs (SLO: <20.000µs -5.7%) vs baseline: +1.0%

Memory: ✅ 39.674MB (SLO: <43.000MB -7.7%) vs baseline: +4.9%


✅ import_one_stdlib_cache

Time: ✅ 6.311µs (SLO: <10.000µs 📉 -36.9%) vs baseline: +0.4%

Memory: ✅ 39.193MB (SLO: <43.000MB -8.9%) vs baseline: +3.5%


✅ import_one_unknown

Time: ✅ 45.468µs (SLO: <50.000µs -9.1%) vs baseline: ~same

Memory: ✅ 39.384MB (SLO: <43.000MB -8.4%) vs baseline: +4.8%


✅ import_one_unknown_cache

Time: ✅ 6.278µs (SLO: <10.000µs 📉 -37.2%) vs baseline: +0.4%

Memory: ✅ 39.288MB (SLO: <43.000MB -8.6%) vs baseline: +3.4%

✅ All Tests Passing (4 suites)
iast_aspects - 40/40

✅ re_expand_aspect

Time: ✅ 37.301µs (SLO: <40.000µs -6.7%) vs baseline: +6.2%

Memory: ✅ 42.330MB (SLO: <43.500MB -2.7%) vs baseline: +4.9%


✅ re_expand_noaspect

Time: ✅ 35.221µs (SLO: <40.000µs 📉 -11.9%) vs baseline: +0.2%

Memory: ✅ 42.290MB (SLO: <43.500MB -2.8%) vs baseline: +4.9%


✅ re_findall_aspect

Time: ✅ 3.426µs (SLO: <10.000µs 📉 -65.7%) vs baseline: ~same

Memory: ✅ 42.349MB (SLO: <43.500MB -2.6%) vs baseline: +4.9%


✅ re_findall_noaspect

Time: ✅ 3.245µs (SLO: <10.000µs 📉 -67.6%) vs baseline: +0.5%

Memory: ✅ 42.271MB (SLO: <43.500MB -2.8%) vs baseline: +5.2%


✅ re_finditer_aspect

Time: ✅ 4.532µs (SLO: <10.000µs 📉 -54.7%) vs baseline: -0.3%

Memory: ✅ 42.271MB (SLO: <43.500MB -2.8%) vs baseline: +5.0%


✅ re_finditer_noaspect

Time: ✅ 3.284µs (SLO: <10.000µs 📉 -67.2%) vs baseline: -0.7%

Memory: ✅ 42.192MB (SLO: <43.500MB -3.0%) vs baseline: +4.6%


✅ re_fullmatch_aspect

Time: ✅ 2.766µs (SLO: <10.000µs 📉 -72.3%) vs baseline: -0.8%

Memory: ✅ 42.369MB (SLO: <43.500MB -2.6%) vs baseline: +5.1%


✅ re_fullmatch_noaspect

Time: ✅ 3.096µs (SLO: <10.000µs 📉 -69.0%) vs baseline: +0.3%

Memory: ✅ 42.428MB (SLO: <43.500MB -2.5%)


✅ re_group_aspect

Time: ✅ 4.818µs (SLO: <10.000µs 📉 -51.8%) vs baseline: -0.4%

Memory: ✅ 42.153MB (SLO: <43.500MB -3.1%) vs baseline: +4.7%


✅ re_group_noaspect

Time: ✅ 4.887µs (SLO: <10.000µs 📉 -51.1%) vs baseline: +0.2%

Memory: ✅ 42.172MB (SLO: <43.500MB -3.1%) vs baseline: +5.0%


✅ re_groups_aspect

Time: ✅ 4.919µs (SLO: <10.000µs 📉 -50.8%) vs baseline: -0.7%

Memory: ✅ 42.349MB (SLO: <43.500MB -2.6%) vs baseline: +5.1%


✅ re_groups_noaspect

Time: ✅ 4.995µs (SLO: <10.000µs 📉 -50.0%) vs baseline: +0.3%

Memory: ✅ 42.369MB (SLO: <43.500MB -2.6%) vs baseline: +5.0%


✅ re_match_aspect

Time: ✅ 2.814µs (SLO: <10.000µs 📉 -71.9%) vs baseline: -0.6%

Memory: ✅ 42.349MB (SLO: <43.500MB -2.6%) vs baseline: +5.0%


✅ re_match_noaspect

Time: ✅ 3.085µs (SLO: <10.000µs 📉 -69.1%) vs baseline: ~same

Memory: ✅ 42.310MB (SLO: <43.500MB -2.7%) vs baseline: +5.1%


✅ re_search_aspect

Time: ✅ 2.660µs (SLO: <10.000µs 📉 -73.4%) vs baseline: -0.4%

Memory: ✅ 42.172MB (SLO: <43.500MB -3.1%) vs baseline: +4.6%


✅ re_search_noaspect

Time: ✅ 2.920µs (SLO: <10.000µs 📉 -70.8%) vs baseline: +0.5%

Memory: ✅ 42.310MB (SLO: <43.500MB -2.7%) vs baseline: +5.2%


✅ re_sub_aspect

Time: ✅ 3.586µs (SLO: <10.000µs 📉 -64.1%) vs baseline: +0.9%

Memory: ✅ 42.271MB (SLO: <43.500MB -2.8%) vs baseline: +5.0%


✅ re_sub_noaspect

Time: ✅ 4.036µs (SLO: <10.000µs 📉 -59.6%) vs baseline: +2.3%

Memory: ✅ 42.251MB (SLO: <43.500MB -2.9%) vs baseline: +4.8%


✅ re_subn_aspect

Time: ✅ 3.794µs (SLO: <10.000µs 📉 -62.1%) vs baseline: +0.4%

Memory: ✅ 42.212MB (SLO: <43.500MB -3.0%) vs baseline: +4.5%


✅ re_subn_noaspect

Time: ✅ 4.087µs (SLO: <10.000µs 📉 -59.1%) vs baseline: -0.5%

Memory: ✅ 42.330MB (SLO: <43.500MB -2.7%) vs baseline: +5.2%


iastpropagation - 8/8

✅ no-propagation

Time: ✅ 49.237µs (SLO: <60.000µs 📉 -17.9%) vs baseline: +0.6%

Memory: ✅ 38.221MB (SLO: <42.000MB -9.0%) vs baseline: +4.6%


✅ propagation_enabled

Time: ✅ 137.740µs (SLO: <190.000µs 📉 -27.5%) vs baseline: +0.7%

Memory: ✅ 38.221MB (SLO: <42.000MB -9.0%) vs baseline: +4.7%


✅ propagation_enabled_100

Time: ✅ 1.593ms (SLO: <2.300ms 📉 -30.8%) vs baseline: +1.0%

Memory: ✅ 38.417MB (SLO: <42.000MB -8.5%) vs baseline: +5.2%


✅ propagation_enabled_1000

Time: ✅ 29.477ms (SLO: <34.550ms 📉 -14.7%) vs baseline: +0.5%

Memory: ✅ 38.299MB (SLO: <42.000MB -8.8%) vs baseline: +3.8%


otelspan - 22/22

✅ add-event

Time: ✅ 40.176ms (SLO: <47.150ms 📉 -14.8%) vs baseline: +0.2%

Memory: ✅ 39.376MB (SLO: <47.000MB 📉 -16.2%) vs baseline: +4.4%


✅ add-metrics

Time: ✅ 260.236ms (SLO: <344.800ms 📉 -24.5%) vs baseline: -0.5%

Memory: ✅ 43.728MB (SLO: <47.500MB -7.9%) vs baseline: +4.6%


✅ add-tags

Time: ✅ 314.032ms (SLO: <321.000ms -2.2%) vs baseline: -1.0%

Memory: ✅ 43.930MB (SLO: <47.500MB -7.5%) vs baseline: +5.4%


✅ get-context

Time: ✅ 80.389ms (SLO: <92.350ms 📉 -13.0%) vs baseline: ~same

Memory: ✅ 39.931MB (SLO: <46.500MB 📉 -14.1%) vs baseline: +4.9%


✅ is-recording

Time: ✅ 37.856ms (SLO: <44.500ms 📉 -14.9%) vs baseline: ~same

Memory: ✅ 39.560MB (SLO: <47.500MB 📉 -16.7%) vs baseline: +4.7%


✅ record-exception

Time: ✅ 59.023ms (SLO: <67.650ms 📉 -12.8%) vs baseline: +0.4%

Memory: ✅ 40.016MB (SLO: <47.000MB 📉 -14.9%) vs baseline: +4.6%


✅ set-status

Time: ✅ 44.120ms (SLO: <50.400ms 📉 -12.5%) vs baseline: ~same

Memory: ✅ 39.347MB (SLO: <47.000MB 📉 -16.3%) vs baseline: +4.5%


✅ start

Time: ✅ 37.872ms (SLO: <43.450ms 📉 -12.8%) vs baseline: +1.9%

Memory: ✅ 39.531MB (SLO: <47.000MB 📉 -15.9%) vs baseline: +5.0%


✅ start-finish

Time: ✅ 82.923ms (SLO: <88.000ms -5.8%) vs baseline: ~same

Memory: ✅ 37.356MB (SLO: <46.500MB 📉 -19.7%) vs baseline: +5.2%


✅ start-finish-telemetry

Time: ✅ 84.451ms (SLO: <89.000ms -5.1%) vs baseline: +0.1%

Memory: ✅ 37.277MB (SLO: <46.500MB 📉 -19.8%) vs baseline: +4.5%


✅ update-name

Time: ✅ 38.569ms (SLO: <45.150ms 📉 -14.6%) vs baseline: ~same

Memory: ✅ 39.556MB (SLO: <47.000MB 📉 -15.8%) vs baseline: +4.6%


packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 344.306ms (SLO: <354.300ms -2.8%) vs baseline: -1.3%

Memory: ✅ 41.904MB (SLO: <43.500MB -3.7%) vs baseline: +5.3%


✅ cache_on

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +0.3%

Memory: ✅ 40.150MB (SLO: <43.000MB -6.6%) vs baseline: +4.6%

ℹ️ Scenarios Missing SLO Configuration (26 scenarios)

The following scenarios exist in candidate data but have no SLO thresholds configured:

  • coreapiscenario-core_dispatch_listeners
  • coreapiscenario-core_dispatch_no_listeners
  • coreapiscenario-core_dispatch_with_results_listeners
  • coreapiscenario-core_dispatch_with_results_no_listeners
  • djangosimple-baseline
  • errortrackingdjangosimple-baseline
  • errortrackingflasksqli-baseline
  • flasksimple-baseline
  • flasksqli-baseline
  • sethttpmeta-obfuscation-disabled
  • startup-baseline
  • startup-baseline_django
  • startup-baseline_flask
  • startup-ddtrace_run
  • startup-ddtrace_run_appsec
  • startup-ddtrace_run_profiling
  • startup-ddtrace_run_runtime_metrics
  • startup-ddtrace_run_send_span
  • startup-ddtrace_run_telemetry_disabled
  • startup-ddtrace_run_telemetry_enabled
  • startup-import_ddtrace
  • startup-import_ddtrace_auto
  • startup-import_ddtrace_auto_django
  • startup-import_ddtrace_auto_flask
  • startup-import_ddtrace_django
  • startup-import_ddtrace_flask

@KowalskiThomas KowalskiThomas force-pushed the kowalski/chore-profiling-fix-crash-with-uvloop-and-subprocess branch from 79c7172 to 318e7d6 Compare December 29, 2025 09:42
@KowalskiThomas KowalskiThomas added the changelog/no-changelog A changelog entry is not required for this PR. label Dec 31, 2025
@KowalskiThomas KowalskiThomas marked this pull request as ready for review December 31, 2025 09:51
@KowalskiThomas KowalskiThomas requested a review from a team as a code owner December 31, 2025 09:51
@taegyunkim taegyunkim changed the title chore(profiling): fix crash with uvloop and subprocess fix(profiling): fix crash with uvloop and subprocess Jan 5, 2026
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Do you mind adding a release note entry for this?

@brettlangdon
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release note?

@KowalskiThomas KowalskiThomas force-pushed the kowalski/chore-profiling-fix-crash-with-uvloop-and-subprocess branch from b5c0566 to bec44a8 Compare January 6, 2026 08:31
@KowalskiThomas KowalskiThomas requested a review from a team as a code owner January 6, 2026 08:31
@KowalskiThomas KowalskiThomas enabled auto-merge (squash) January 6, 2026 08:31
@KowalskiThomas KowalskiThomas force-pushed the kowalski/chore-profiling-fix-crash-with-uvloop-and-subprocess branch from bec44a8 to 7a244d3 Compare January 6, 2026 08:34
@KowalskiThomas KowalskiThomas added Profiling Continous Profling and removed changelog/no-changelog A changelog entry is not required for this PR. labels Jan 6, 2026
@KowalskiThomas KowalskiThomas merged commit 4c69fdd into main Jan 6, 2026
992 of 995 checks passed
@KowalskiThomas KowalskiThomas deleted the kowalski/chore-profiling-fix-crash-with-uvloop-and-subprocess branch January 6, 2026 09:42
dd-octo-sts bot pushed a commit that referenced this pull request Jan 6, 2026
## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree
#1   0x00007f9a7accc6b5 pthread_create
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread
#3   0x00007f9a7a639d18 PeriodicThread_start
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

(cherry picked from commit 4c69fdd)
KowalskiThomas added a commit that referenced this pull request Jan 6, 2026
## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree
#1   0x00007f9a7accc6b5 pthread_create
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread
#3   0x00007f9a7a639d18 PeriodicThread_start
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

(cherry picked from commit 4c69fdd)
@dd-octo-sts
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dd-octo-sts bot commented Jan 6, 2026

The backport to 3.19 failed:

The process '/usr/bin/git' failed with exit code 1

To backport manually, run these commands in your terminal:

# Fetch latest updates from GitHub
git fetch
# Create a new working tree
git worktree add .worktrees/backport-3.19 3.19
# Navigate to the new working tree
cd .worktrees/backport-3.19
# Create a new branch
git switch --create backport-15798-to-3.19
# Cherry-pick the merged commit of this pull request and resolve the conflicts
git cherry-pick -x --mainline 1 4c69fdd59b84c0168409adb97a256a3578eeda05
# Push it to GitHub
git push --set-upstream origin backport-15798-to-3.19
# Go back to the original working tree
cd ../..
# Delete the working tree
git worktree remove .worktrees/backport-3.19

Then, create a pull request where the base branch is 3.19 and the compare/head branch is backport-15798-to-3.19.

dd-octo-sts bot pushed a commit that referenced this pull request Jan 6, 2026
## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree
#1   0x00007f9a7accc6b5 pthread_create
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread
#3   0x00007f9a7a639d18 PeriodicThread_start
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

(cherry picked from commit 4c69fdd)
KowalskiThomas added a commit that referenced this pull request Jan 6, 2026
## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree
#1   0x00007f9a7accc6b5 pthread_create
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread
#3   0x00007f9a7a639d18 PeriodicThread_start
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

(cherry picked from commit 4c69fdd)
KowalskiThomas added a commit that referenced this pull request Jan 7, 2026
## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree
#1   0x00007f9a7accc6b5 pthread_create
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread
#3   0x00007f9a7a639d18 PeriodicThread_start
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

(cherry picked from commit 4c69fdd)
KowalskiThomas added a commit that referenced this pull request Jan 7, 2026
…15858)

Backport 4c69fdd from #15798 to 4.1.

## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree 
#1   0x00007f9a7accc6b5 pthread_create 
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread 
#3   0x00007f9a7a639d18 PeriodicThread_start 
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork 
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod 
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall 
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

Co-authored-by: Thomas Kowalski <thomas.kowalski@datadoghq.com>
KowalskiThomas added a commit that referenced this pull request Jan 7, 2026
## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree
#1   0x00007f9a7accc6b5 pthread_create
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread
#3   0x00007f9a7a639d18 PeriodicThread_start
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

(cherry picked from commit 4c69fdd)
KowalskiThomas added a commit that referenced this pull request Jan 7, 2026
…15861)

Backport 4c69fdd from #15798 to 4.0.

## Description

https://datadoghq.atlassian.net/browse/PROF-13112

This is an attempt to address the following crash. There seems to be a
case (that I wasn't able to reproduce in a Docker image, but maybe my
"code environment" didn't match the customer's exactly) where using
`uvloop` results in a crash caused by `PeriodicThread_start` after
`uvloop` tries to restart Threads after a fork.

```
#0   0x00007f9a7acdbefa cfree 
#1   0x00007f9a7accc6b5 pthread_create 
#2   0x00007f9a7a63aaa5 std::thread::_M_start_thread 
#3   0x00007f9a7a639d18 PeriodicThread_start 
#4   0x00007f9a2e71d565 __pyx_f_6uvloop_4loop_9UVProcess__after_fork (uvloop/loop.c:120214:3)
#5   0x00007f9a2e6369a8 __pyx_f_6uvloop_4loop___get_fork_handler (uvloop/loop.c:163075:24)
#6   0x00007f9a7ad17073 __fork 
#7   0x00007f9a2e732d62 uv__spawn_and_init_child_fork (src/unix/process.c:831:10)
#8   0x00007f9a2e732d62 uv__spawn_and_init_child (src/unix/process.c:919:9)
#9   0x00007f9a2e732d62 uv_spawn (src/unix/process.c:1013:18)
#10  0x00007f9a2e71fb87 __pyx_f_6uvloop_4loop_9UVProcess__init (uvloop/loop.c:119056:19)
#11  0x00007f9a2e711bf7 __pyx_f_6uvloop_4loop_18UVProcessTransport_new (uvloop/loop.c:126866:16)
#12  0x00007f9a2e712aa7 __pyx_gb_6uvloop_4loop_4Loop_116generator16 (uvloop/loop.c:54030:28)
#13  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#14  0x00007f9a2e699f8a __Pyx_Coroutine_AmSend (uvloop/loop.c:196492:18)
#15  0x00007f9a2e69a052 __Pyx_Coroutine_Yield_From_Coroutine (uvloop/loop.c:197380:14)
#16  0x00007f9a2e69b0e5 __Pyx_Coroutine_Yield_From (uvloop/loop.c:197408:16)
#17  0x00007f9a2e69b0e5 __pyx_gb_6uvloop_4loop_4Loop_122generator18 (uvloop/loop.c:55002:15)
#18  0x00007f9a2e631419 __Pyx_Coroutine_SendEx (uvloop/loop.c:196315:14)
#19  0x00007f9a2e69bb86 __Pyx_Generator_Next (uvloop/loop.c:196581:18)
#20  0x00007f9a2e6398eb __Pyx_PyObject_Call (uvloop/loop.c:191431:15)
#21  0x00007f9a2e6398eb __Pyx_PyObject_FastCallDict (uvloop/loop.c:191552:16)
#22  0x00007f9a2e715a69 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66873:27)
#23  0x00007f9a2e71996b __pyx_f_6uvloop_4loop_4Loop__on_idle (uvloop/loop.c:17975:25)
#24  0x00007f9a2e713e52 __pyx_f_6uvloop_4loop_6Handle__run (uvloop/loop.c:66927:24)
#25  0x00007f9a2e715c88 __pyx_f_6uvloop_4loop_cb_idle_callback (uvloop/loop.c:87335:19)
#26  0x00007f9a2e731311 uv__run_idle (unix/loop-watcher.c:68:1)
#27  0x00007f9a2e72e647 uv_run (src/unix/core.c:439:5)
#28  0x00007f9a2e64fdb5 __pyx_f_6uvloop_4loop_4Loop__Loop__run (uvloop/loop.c:18458:23)
#29  0x00007f9a2e6b7e50 __pyx_f_6uvloop_4loop_4Loop__run (uvloop/loop.c:18876:18)
#30  0x00007f9a2e6c8cf0 __pyx_pf_6uvloop_4loop_4Loop_24run_forever (uvloop/loop.c:31528:18)
#31  0x00007f9a2e6c8cf0 __pyx_pw_6uvloop_4loop_4Loop_25run_forever (uvloop/loop.c:31331:13)
#32  0x00007f9a7b065c25 PyObject_VectorcallMethod 
#33  0x00007f9a2e6ccd60 __pyx_pf_6uvloop_4loop_4Loop_44run_until_complete (uvloop/loop.c:33768:23)
#34  0x00007f9a2e6ce591 __pyx_pw_6uvloop_4loop_4Loop_45run_until_complete (uvloop/loop.c:33318:13)
#35  0x00007f9a7b039358 PyObject_Vectorcall 
```

## Fix

The `_after_fork` boolean field marks that this thread object is in a
"post-fork zombie state." When the flag is set to true, Thread methods
(e.g. `join`) become no-ops because the threads do not exist anymore so
we should not try to do something with them. By checking that same flag,
we can tell that we are trying to start a Thread that doesn't really
exist and so we shouldn't try to do it.

Co-authored-by: Thomas Kowalski <thomas.kowalski@datadoghq.com>
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