feat(profiling): remove stack v1 #15185

taegyunkim · 2025-11-07T18:35:50Z

Description

Remove Python Profiler v1 implementation, and clean up test suites.

One of the notable improvements from this PR is that StackCollector no longer spawns an extra background thread by inheriting from Collector instead of PeriodicService. Also, ddtrace/profiling/collector/stack.pyx has been de-cythonized as it now is a simple wrapper around stack_v2 native extension module.

Testing

Risks

Additional Notes

github-actions · 2025-11-07T18:36:55Z

CODEOWNERS have been resolved as:

.riot/requirements/172eb1b.txt                                          @DataDog/apm-python
.riot/requirements/470a446.txt                                          @DataDog/apm-python
.riot/requirements/c33a085.txt                                          @DataDog/apm-python
.riot/requirements/db728f4.txt                                          @DataDog/apm-python
.riot/requirements/ef24176.txt                                          @DataDog/apm-python
ddtrace/profiling/collector/stack.py                                    @DataDog/profiling-python
.github/CODEOWNERS                                                      @DataDog/python-guild @DataDog/apm-core-python
.github/workflows/django-overhead-profile.yml                           @DataDog/python-guild @DataDog/apm-core-python
ddtrace/internal/datadog/profiling/stack_v2/__init__.pyi                @DataDog/profiling-python
ddtrace/internal/settings/profiling.py                                  @DataDog/profiling-python
ddtrace/profiling/_asyncio.py                                           @DataDog/profiling-python
ddtrace/profiling/collector/__init__.py                                 @DataDog/profiling-python
ddtrace/profiling/collector/_task.pyi                                   @DataDog/profiling-python
ddtrace/profiling/collector/_task.pyx                                   @DataDog/profiling-python
ddtrace/profiling/collector/_traceback.pyi                              @DataDog/profiling-python
ddtrace/profiling/collector/_traceback.pyx                              @DataDog/profiling-python
ddtrace/profiling/collector/threading.py                                @DataDog/profiling-python
ddtrace/profiling/profiler.py                                           @DataDog/profiling-python
hatch.toml                                                              @DataDog/python-guild
pyproject.toml                                                          @DataDog/python-guild
riotfile.py                                                             @DataDog/apm-python
setup.py                                                                @DataDog/python-guild
tests/README.md                                                         @DataDog/python-guild @DataDog/apm-core-python
tests/profiling/collector/conftest.py                                   @DataDog/profiling-python
tests/profiling/collector/test_collector.py                             @DataDog/profiling-python
tests/profiling/collector/test_memalloc.py                              @DataDog/profiling-python
tests/profiling/collector/test_stack.py                                 @DataDog/profiling-python
tests/profiling/collector/test_stack_asyncio.py                         @DataDog/profiling-python
tests/profiling/collector/test_task.py                                  @DataDog/profiling-python
tests/profiling/simple_program.py                                       @DataDog/profiling-python
tests/profiling/suitespec.yml                                           @DataDog/profiling-python
tests/profiling/test_gunicorn.py                                        @DataDog/profiling-python
tests/profiling/test_main.py                                            @DataDog/profiling-python
tests/profiling/test_profiler.py                                        @DataDog/profiling-python
tests/profiling/test_scheduler.py                                       @DataDog/profiling-python
tests/profiling/test_uwsgi.py                                           @DataDog/profiling-python
tests/telemetry/test_writer.py                                          @DataDog/apm-python
.riot/requirements/160a7fd.txt                                          @DataDog/apm-python
.riot/requirements/16c526e.txt                                          @DataDog/apm-python
.riot/requirements/17382eb.txt                                          @DataDog/apm-python
.riot/requirements/184f4e7.txt                                          @DataDog/apm-python
.riot/requirements/1896c2f.txt                                          @DataDog/apm-python
.riot/requirements/1c00026.txt                                          @DataDog/apm-python
.riot/requirements/1c300f5.txt                                          @DataDog/apm-python
.riot/requirements/1fdae65.txt                                          @DataDog/apm-python
.riot/requirements/377066a.txt                                          @DataDog/apm-python
.riot/requirements/4d59dd3.txt                                          @DataDog/apm-python
.riot/requirements/6add1e1.txt                                          @DataDog/apm-python
.riot/requirements/6c2a4d1.txt                                          @DataDog/apm-python
.riot/requirements/9b46157.txt                                          @DataDog/apm-python
.riot/requirements/b635ec9.txt                                          @DataDog/apm-python
.riot/requirements/cc3c148.txt                                          @DataDog/apm-python
.riot/requirements/cdbf8f3.txt                                          @DataDog/apm-python
.riot/requirements/da649f1.txt                                          @DataDog/apm-python
.riot/requirements/e24351a.txt                                          @DataDog/apm-python
.riot/requirements/f15701f.txt                                          @DataDog/apm-python
.riot/requirements/f3f043e.txt                                          @DataDog/apm-python
.riot/requirements/f5d4513.txt                                          @DataDog/apm-python
tests/profiling/collector/test_asyncio.py                               @DataDog/profiling-python
tests/profiling/collector/test_threading.py                             @DataDog/profiling-python
tests/profiling/collector/test_threading_asyncio.py                     @DataDog/profiling-python
tests/profiling/exporter/__init__.py                                    @DataDog/profiling-python
tests/profiling/exporter/test_ddup.py                                   @DataDog/profiling-python
tests/profiling/gunicorn.conf.py                                        @DataDog/profiling-python
tests/profiling/native_tests                                            @DataDog/profiling-python
tests/profiling/simple_program_pytorch_gpu.py                           @DataDog/profiling-python
tests/profiling/test_accuracy.py                                        @DataDog/profiling-python
tests/profiling/test_code_provenance.py                                 @DataDog/profiling-python
tests/profiling/test_pytorch.py                                         @DataDog/profiling-python
.riot/requirements/116bda6.txt                                          @DataDog/apm-python
.riot/requirements/11f199b.txt                                          @DataDog/apm-python
.riot/requirements/127e019.txt                                          @DataDog/apm-python
.riot/requirements/156272b.txt                                          @DataDog/apm-python
.riot/requirements/1732d2c.txt                                          @DataDog/apm-python
.riot/requirements/17dacc9.txt                                          @DataDog/apm-python
.riot/requirements/18f25af.txt                                          @DataDog/apm-python
.riot/requirements/19a46f0.txt                                          @DataDog/apm-python
.riot/requirements/19dd610.txt                                          @DataDog/apm-python
.riot/requirements/1a21c9f.txt                                          @DataDog/apm-python
.riot/requirements/33ce309.txt                                          @DataDog/apm-python
.riot/requirements/34a1fc3.txt                                          @DataDog/apm-python
.riot/requirements/3c0f573.txt                                          @DataDog/apm-python
.riot/requirements/57ce041.txt                                          @DataDog/apm-python
.riot/requirements/59df9d0.txt                                          @DataDog/apm-python
.riot/requirements/6f7b1a1.txt                                          @DataDog/apm-python
.riot/requirements/768e5b9.txt                                          @DataDog/apm-python
.riot/requirements/7ab50e4.txt                                          @DataDog/apm-python
.riot/requirements/8005ddd.txt                                          @DataDog/apm-python
.riot/requirements/83c892b.txt                                          @DataDog/apm-python
.riot/requirements/dc9cd92.txt                                          @DataDog/apm-python
.riot/requirements/ed7ef83.txt                                          @DataDog/apm-python
ddtrace/profiling/collector/stack.pyi                                   @DataDog/profiling-python
ddtrace/profiling/collector/stack.pyx                                   @DataDog/profiling-python
tests/profiling/_wrong_file                                             @DataDog/profiling-python
tests/profiling/collector/test_traceback.py                             @DataDog/profiling-python
tests/profiling/conftest.py                                             @DataDog/profiling-python
tests/profiling/utils.py                                                @DataDog/profiling-python
tests/profiling_v2/__init__.py                                          @DataDog/apm-core-python
tests/profiling_v2/collector/conftest.py                                @DataDog/apm-core-python
tests/profiling_v2/collector/test_memalloc.py                           @DataDog/apm-core-python
tests/profiling_v2/collector/test_stack.py                              @DataDog/apm-core-python
tests/profiling_v2/collector/test_stack_asyncio.py                      @DataDog/apm-core-python
tests/profiling_v2/exporter/__init__.py                                 @DataDog/apm-core-python
tests/profiling_v2/simple_program.py                                    @DataDog/apm-core-python
tests/profiling_v2/simple_program_fork.py                               @DataDog/apm-core-python
tests/profiling_v2/simple_program_gevent.py                             @DataDog/apm-core-python
tests/profiling_v2/test_gunicorn.py                                     @DataDog/apm-core-python
tests/profiling_v2/test_main.py                                         @DataDog/apm-core-python
tests/profiling_v2/test_profiler.py                                     @DataDog/apm-core-python
tests/profiling_v2/test_scheduler.py                                    @DataDog/apm-core-python
tests/profiling_v2/test_uwsgi.py                                        @DataDog/apm-core-python

github-actions · 2025-11-07T19:02:46Z

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 231 ± 2 ms.

The average import time from base is: 233 ± 1 ms.

The import time difference between this PR and base is: -1.89 ± 0.06 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.029 ms (0.88%)

ddtrace.bootstrap.sitecustomize 1.325 ms (0.57%)

ddtrace.bootstrap.preload 1.325 ms (0.57%)

ddtrace.internal.remoteconfig.client 0.636 ms (0.28%)

ddtrace.internal.settings.profiling 0.032 ms (0.01%)

ddtrace 0.704 ms (0.30%)

ddtrace.internal._unpatched 0.058 ms (0.02%)

json 0.031 ms (0.01%)

json.decoder 0.031 ms (0.01%)

re 0.031 ms (0.01%)

enum 0.031 ms (0.01%)

types 0.031 ms (0.01%)

subprocess 0.026 ms (0.01%)

contextlib 0.026 ms (0.01%)

pr-commenter · 2025-11-07T22:13:26Z

Performance SLOs

Comparing candidate taegyunkim/remove-stack-v1 (06b2266) with baseline 4.0-breaking-changes (1c95d17)

❌ Test Failures (1 suite)

❌ telemetryaddmetric - 28/30

✅ 1-count-metric-1-times

Time: ✅ 3.170µs (SLO: <20.000µs 📉 -84.1%) vs baseline: +1.9%

Memory: ✅ 31.595MB (SLO: <34.000MB -7.1%) vs baseline: +5.1%

✅ 1-count-metrics-100-times

Time: ✅ 211.468µs (SLO: <220.000µs -3.9%) vs baseline: +0.9%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +4.9%

✅ 1-distribution-metric-1-times

Time: ✅ 3.529µs (SLO: <20.000µs 📉 -82.4%) vs baseline: +2.1%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%

❌ 1-distribution-metrics-100-times

Time: ❌ 222.076µs (SLO: <220.000µs +0.9%) vs baseline: -0.2%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%

✅ 1-gauge-metric-1-times

Time: ✅ 2.276µs (SLO: <20.000µs 📉 -88.6%) vs baseline: ~same

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +4.7%

✅ 1-gauge-metrics-100-times

Time: ✅ 138.127µs (SLO: <150.000µs -7.9%) vs baseline: +0.4%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.9%

✅ 1-rate-metric-1-times

Time: ✅ 3.297µs (SLO: <20.000µs 📉 -83.5%) vs baseline: +2.0%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.8%

✅ 1-rate-metrics-100-times

Time: ✅ 224.309µs (SLO: <250.000µs 📉 -10.3%) vs baseline: +0.7%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +5.2%

✅ 100-count-metrics-100-times

Time: ✅ 21.015ms (SLO: <22.000ms -4.5%) vs baseline: +2.3%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.8%

❌ 100-distribution-metrics-100-times

Time: ❌ 2.318ms (SLO: <2.300ms +0.8%) vs baseline: +1.0%

Memory: ✅ 31.556MB (SLO: <34.000MB -7.2%) vs baseline: +5.0%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.427ms (SLO: <1.550ms -8.0%) vs baseline: ~same

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%

✅ 100-rate-metrics-100-times

Time: ✅ 2.273ms (SLO: <2.550ms 📉 -10.8%) vs baseline: +0.6%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +4.9%

✅ flush-1-metric

Time: ✅ 4.624µs (SLO: <20.000µs 📉 -76.9%) vs baseline: +0.9%

Memory: ✅ 31.556MB (SLO: <34.000MB -7.2%) vs baseline: +5.1%

✅ flush-100-metrics

Time: ✅ 174.400µs (SLO: <250.000µs 📉 -30.2%) vs baseline: -0.7%

Memory: ✅ 31.850MB (SLO: <34.000MB -6.3%) vs baseline: +4.7%

✅ flush-1000-metrics

Time: ✅ 2.137ms (SLO: <2.500ms 📉 -14.5%) vs baseline: -0.1%

Memory: ✅ 32.696MB (SLO: <34.500MB -5.2%) vs baseline: +4.7%

🟡 Near SLO Breach (4 suites)

🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 20.352ms (SLO: <22.300ms -8.7%) vs baseline: -0.4%

Memory: ✅ 66.034MB (SLO: <67.000MB 🟡 -1.4%) vs baseline: +5.0%

✅ exception-replay-enabled

Time: ✅ 1.339ms (SLO: <1.450ms -7.7%) vs baseline: ~same

Memory: ✅ 64.064MB (SLO: <67.000MB -4.4%) vs baseline: +4.9%

✅ iast

Time: ✅ 20.392ms (SLO: <22.250ms -8.3%) vs baseline: -0.5%

Memory: ✅ 65.959MB (SLO: <67.000MB 🟡 -1.6%) vs baseline: +4.8%

✅ profiler

Time: ✅ 15.451ms (SLO: <16.550ms -6.6%) vs baseline: ~same

Memory: ✅ 53.517MB (SLO: <54.500MB 🟡 -1.8%) vs baseline: +4.1%

✅ resource-renaming

Time: ✅ 20.537ms (SLO: <21.750ms -5.6%) vs baseline: -0.2%

Memory: ✅ 65.996MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.8%

✅ span-code-origin

Time: ✅ 25.285ms (SLO: <28.200ms 📉 -10.3%) vs baseline: -0.6%

Memory: ✅ 67.179MB (SLO: <69.500MB -3.3%) vs baseline: +4.8%

✅ tracer

Time: ✅ 20.382ms (SLO: <21.750ms -6.3%) vs baseline: -0.3%

Memory: ✅ 65.949MB (SLO: <67.000MB 🟡 -1.6%) vs baseline: +4.9%

✅ tracer-and-profiler

Time: ✅ 22.814ms (SLO: <23.500ms -2.9%) vs baseline: +1.0%

Memory: ✅ 67.459MB (SLO: <68.000MB 🟡 -0.8%) vs baseline: +4.4%

✅ tracer-dont-create-db-spans

Time: ✅ 19.303ms (SLO: <21.500ms 📉 -10.2%) vs baseline: ~same

Memory: ✅ 65.921MB (SLO: <67.000MB 🟡 -1.6%) vs baseline: +4.7%

✅ tracer-minimal

Time: ✅ 16.632ms (SLO: <17.500ms -5.0%) vs baseline: -0.1%

Memory: ✅ 65.962MB (SLO: <67.000MB 🟡 -1.5%) vs baseline: +4.8%

✅ tracer-native

Time: ✅ 20.426ms (SLO: <21.750ms -6.1%) vs baseline: +0.1%

Memory: ✅ 67.555MB (SLO: <72.500MB -6.8%) vs baseline: +4.7%

✅ tracer-no-caches

Time: ✅ 18.436ms (SLO: <19.650ms -6.2%) vs baseline: ~same

Memory: ✅ 65.961MB (SLO: <67.000MB 🟡 -1.6%) vs baseline: +4.7%

✅ tracer-no-databases

Time: ✅ 18.666ms (SLO: <20.100ms -7.1%) vs baseline: -0.4%

Memory: ✅ 65.864MB (SLO: <67.000MB 🟡 -1.7%) vs baseline: +4.8%

✅ tracer-no-middleware

Time: ✅ 20.034ms (SLO: <21.500ms -6.8%) vs baseline: -0.6%

Memory: ✅ 65.901MB (SLO: <67.000MB 🟡 -1.6%) vs baseline: +4.7%

✅ tracer-no-templates

Time: ✅ 20.315ms (SLO: <22.000ms -7.7%) vs baseline: +0.6%

Memory: ✅ 65.827MB (SLO: <67.000MB 🟡 -1.8%) vs baseline: +4.6%

🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 18.033ms (SLO: <19.850ms -9.2%) vs baseline: +0.3%

Memory: ✅ 65.824MB (SLO: <66.500MB 🟡 -1.0%) vs baseline: +4.7%

✅ errortracking-enabled-user

Time: ✅ 18.042ms (SLO: <19.400ms -7.0%) vs baseline: -0.1%

Memory: ✅ 65.795MB (SLO: <66.500MB 🟡 -1.1%) vs baseline: +4.7%

✅ tracer-enabled

Time: ✅ 17.961ms (SLO: <19.450ms -7.7%) vs baseline: -0.5%

Memory: ✅ 65.915MB (SLO: <66.500MB 🟡 -0.9%) vs baseline: +5.1%

🟡 errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.075ms (SLO: <2.300ms -9.8%) vs baseline: +0.2%

Memory: ✅ 52.687MB (SLO: <53.500MB 🟡 -1.5%) vs baseline: +5.0%

✅ errortracking-enabled-user

Time: ✅ 2.073ms (SLO: <2.250ms -7.9%) vs baseline: +0.1%

Memory: ✅ 52.585MB (SLO: <53.500MB 🟡 -1.7%) vs baseline: +4.8%

✅ tracer-enabled

Time: ✅ 2.070ms (SLO: <2.300ms 📉 -10.0%) vs baseline: -0.2%

Memory: ✅ 52.551MB (SLO: <53.500MB 🟡 -1.8%) vs baseline: +4.8%

🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 4.581ms (SLO: <4.750ms -3.5%) vs baseline: -0.6%

Memory: ✅ 62.069MB (SLO: <65.000MB -4.5%) vs baseline: +4.9%

✅ appsec-post

Time: ✅ 6.627ms (SLO: <6.750ms 🟡 -1.8%) vs baseline: ~same

Memory: ✅ 62.285MB (SLO: <65.000MB -4.2%) vs baseline: +5.2%

✅ appsec-telemetry

Time: ✅ 4.579ms (SLO: <4.750ms -3.6%) vs baseline: -0.3%

Memory: ✅ 62.046MB (SLO: <65.000MB -4.5%) vs baseline: +4.9%

✅ debugger

Time: ✅ 1.857ms (SLO: <2.000ms -7.2%) vs baseline: ~same

Memory: ✅ 45.247MB (SLO: <47.000MB -3.7%) vs baseline: +5.0%

✅ iast-get

Time: ✅ 1.858ms (SLO: <2.000ms -7.1%) vs baseline: +0.1%

Memory: ✅ 42.177MB (SLO: <49.000MB 📉 -13.9%) vs baseline: +4.9%

✅ profiler

Time: ✅ 1.907ms (SLO: <2.100ms -9.2%) vs baseline: -0.2%

Memory: ✅ 46.206MB (SLO: <47.000MB 🟡 -1.7%) vs baseline: +4.3%

✅ resource-renaming

Time: ✅ 3.381ms (SLO: <3.650ms -7.4%) vs baseline: +0.2%

Memory: ✅ 52.701MB (SLO: <53.500MB 🟡 -1.5%) vs baseline: +5.5%

✅ tracer

Time: ✅ 3.361ms (SLO: <3.650ms -7.9%) vs baseline: -0.2%

Memory: ✅ 52.562MB (SLO: <53.500MB 🟡 -1.8%) vs baseline: +5.4%

✅ tracer-native

Time: ✅ 3.365ms (SLO: <3.650ms -7.8%) vs baseline: +0.3%

Memory: ✅ 53.998MB (SLO: <60.000MB 📉 -10.0%) vs baseline: +4.9%

⚠️ Unstable Tests (1 suite)

⚠️

coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.236µs (SLO: <20.000µs 📉 -33.8%) vs baseline: -0.4%

Memory: ✅ 31.477MB (SLO: <33.500MB -6.0%) vs baseline: +4.7%

✅ context_with_data_no_listeners

Time: ✅ 3.280µs (SLO: <10.000µs 📉 -67.2%) vs baseline: -1.3%

Memory: ✅ 31.536MB (SLO: <33.500MB -5.9%) vs baseline: +4.8%

✅ get_item_exists

Time: ✅ 0.586µs (SLO: <10.000µs 📉 -94.1%) vs baseline: ~same

Memory: ✅ 31.516MB (SLO: <33.500MB -5.9%) vs baseline: +4.9%

✅ get_item_missing

Time: ✅ 0.634µs (SLO: <10.000µs 📉 -93.7%) vs baseline: -0.6%

Memory: ✅ 31.536MB (SLO: <33.500MB -5.9%) vs baseline: +5.0%

✅ set_item

Time: ✅ 24.020µs (SLO: <30.000µs 📉 -19.9%) vs baseline: ~same

Memory: ✅ 31.516MB (SLO: <33.500MB -5.9%) vs baseline: +4.7%

✅ All Tests Passing (18 suites)

✅ flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 3.947ms (SLO: <4.200ms -6.0%) vs baseline: +0.2%

Memory: ✅ 62.304MB (SLO: <66.000MB -5.6%) vs baseline: +4.7%

✅ iast-enabled

Time: ✅ 2.432ms (SLO: <2.800ms 📉 -13.2%) vs baseline: -0.5%

Memory: ✅ 58.510MB (SLO: <60.000MB -2.5%) vs baseline: +4.9%

✅ tracer-enabled

Time: ✅ 2.056ms (SLO: <2.250ms -8.6%) vs baseline: -0.4%

Memory: ✅ 52.690MB (SLO: <54.500MB -3.3%) vs baseline: +5.1%

✅ httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 81.751µs (SLO: <100.000µs 📉 -18.2%) vs baseline: +1.7%

Memory: ✅ 31.516MB (SLO: <33.500MB -5.9%) vs baseline: +4.7%

✅ b3_headers

Time: ✅ 14.193µs (SLO: <20.000µs 📉 -29.0%) vs baseline: -0.3%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.1%

✅ b3_single_headers

Time: ✅ 13.182µs (SLO: <20.000µs 📉 -34.1%) vs baseline: -0.4%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.3%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 63.085µs (SLO: <80.000µs 📉 -21.1%) vs baseline: -0.5%

Memory: ✅ 31.674MB (SLO: <33.500MB -5.5%) vs baseline: +5.1%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 65.682µs (SLO: <80.000µs 📉 -17.9%) vs baseline: +0.3%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%

✅ empty_headers

Time: ✅ 1.607µs (SLO: <10.000µs 📉 -83.9%) vs baseline: +0.5%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%

✅ full_t_id_datadog_headers

Time: ✅ 23.775µs (SLO: <30.000µs 📉 -20.7%) vs baseline: +5.1%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.9%

✅ invalid_priority_header

Time: ✅ 6.547µs (SLO: <10.000µs 📉 -34.5%) vs baseline: +0.7%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +5.0%

✅ invalid_span_id_header

Time: ✅ 6.537µs (SLO: <10.000µs 📉 -34.6%) vs baseline: +0.2%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.8%

✅ invalid_tags_header

Time: ✅ 6.555µs (SLO: <10.000µs 📉 -34.4%) vs baseline: ~same

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +5.0%

✅ invalid_trace_id_header

Time: ✅ 6.577µs (SLO: <10.000µs 📉 -34.2%) vs baseline: +0.6%

Memory: ✅ 31.536MB (SLO: <33.500MB -5.9%) vs baseline: +4.7%

✅ large_header_no_matches

Time: ✅ 27.622µs (SLO: <30.000µs -7.9%) vs baseline: +0.1%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.1%

✅ large_valid_headers_all

Time: ✅ 28.753µs (SLO: <40.000µs 📉 -28.1%) vs baseline: +0.3%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%

✅ medium_header_no_matches

Time: ✅ 9.922µs (SLO: <20.000µs 📉 -50.4%) vs baseline: +0.3%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +5.1%

✅ medium_valid_headers_all

Time: ✅ 11.191µs (SLO: <20.000µs 📉 -44.0%) vs baseline: -0.2%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +5.1%

✅ none_propagation_style

Time: ✅ 1.718µs (SLO: <10.000µs 📉 -82.8%) vs baseline: +1.2%

Memory: ✅ 31.674MB (SLO: <33.500MB -5.5%) vs baseline: +4.9%

✅ tracecontext_headers

Time: ✅ 34.777µs (SLO: <40.000µs 📉 -13.1%) vs baseline: +0.6%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%

✅ valid_headers_all

Time: ✅ 6.570µs (SLO: <10.000µs 📉 -34.3%) vs baseline: +0.7%

Memory: ✅ 31.556MB (SLO: <33.500MB -5.8%) vs baseline: +4.8%

✅ valid_headers_basic

Time: ✅ 6.108µs (SLO: <10.000µs 📉 -38.9%) vs baseline: +0.5%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.7%

✅ wsgi_empty_headers

Time: ✅ 1.590µs (SLO: <10.000µs 📉 -84.1%) vs baseline: -0.4%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%

✅ wsgi_invalid_priority_header

Time: ✅ 6.607µs (SLO: <10.000µs 📉 -33.9%) vs baseline: +0.5%

Memory: ✅ 31.556MB (SLO: <33.500MB -5.8%) vs baseline: +4.6%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.602µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.9%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.7%

✅ wsgi_invalid_tags_header

Time: ✅ 6.617µs (SLO: <10.000µs 📉 -33.8%) vs baseline: +0.2%

Memory: ✅ 31.654MB (SLO: <33.500MB -5.5%) vs baseline: +5.0%

✅ wsgi_invalid_trace_id_header

Time: ✅ 6.623µs (SLO: <10.000µs 📉 -33.8%) vs baseline: +0.5%

Memory: ✅ 31.556MB (SLO: <33.500MB -5.8%) vs baseline: +4.8%

✅ wsgi_large_header_no_matches

Time: ✅ 28.762µs (SLO: <40.000µs 📉 -28.1%) vs baseline: ~same

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +5.1%

✅ wsgi_large_valid_headers_all

Time: ✅ 30.053µs (SLO: <40.000µs 📉 -24.9%) vs baseline: +0.9%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +4.8%

✅ wsgi_medium_header_no_matches

Time: ✅ 10.077µs (SLO: <20.000µs 📉 -49.6%) vs baseline: -0.9%

Memory: ✅ 31.516MB (SLO: <33.500MB -5.9%) vs baseline: +4.7%

✅ wsgi_medium_valid_headers_all

Time: ✅ 11.538µs (SLO: <20.000µs 📉 -42.3%) vs baseline: +0.4%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%

✅ wsgi_valid_headers_all

Time: ✅ 6.633µs (SLO: <10.000µs 📉 -33.7%) vs baseline: +1.2%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.7%

✅ wsgi_valid_headers_basic

Time: ✅ 6.184µs (SLO: <10.000µs 📉 -38.2%) vs baseline: +0.9%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.9%

✅ httppropagationinject - 16/16

✅ ids_only

Time: ✅ 20.921µs (SLO: <30.000µs 📉 -30.3%) vs baseline: +0.3%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%

✅ with_all

Time: ✅ 27.792µs (SLO: <40.000µs 📉 -30.5%) vs baseline: +0.9%

Memory: ✅ 31.556MB (SLO: <33.500MB -5.8%) vs baseline: +4.6%

✅ with_dd_origin

Time: ✅ 24.755µs (SLO: <30.000µs 📉 -17.5%) vs baseline: +1.1%

Memory: ✅ 31.575MB (SLO: <33.500MB -5.7%) vs baseline: +4.7%

✅ with_priority_and_origin

Time: ✅ 23.921µs (SLO: <40.000µs 📉 -40.2%) vs baseline: +0.1%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +5.0%

✅ with_sampling_priority

Time: ✅ 20.856µs (SLO: <30.000µs 📉 -30.5%) vs baseline: +0.3%

Memory: ✅ 31.634MB (SLO: <33.500MB -5.6%) vs baseline: +4.7%

✅ with_tags

Time: ✅ 25.999µs (SLO: <40.000µs 📉 -35.0%) vs baseline: +1.1%

Memory: ✅ 31.615MB (SLO: <33.500MB -5.6%) vs baseline: +5.0%

✅ with_tags_invalid

Time: ✅ 27.386µs (SLO: <40.000µs 📉 -31.5%) vs baseline: +1.4%

Memory: ✅ 31.556MB (SLO: <33.500MB -5.8%) vs baseline: +4.7%

✅ with_tags_max_size

Time: ✅ 27.224µs (SLO: <40.000µs 📉 -31.9%) vs baseline: +3.7%

Memory: ✅ 31.595MB (SLO: <33.500MB -5.7%) vs baseline: +5.0%

✅ iast_aspects - 40/40

✅ re_expand_aspect

Time: ✅ 32.114µs (SLO: <40.000µs 📉 -19.7%) vs baseline: +0.5%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.6%

✅ re_expand_noaspect

Time: ✅ 28.576µs (SLO: <40.000µs 📉 -28.6%) vs baseline: -0.4%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.2%

✅ re_findall_aspect

Time: ✅ 2.892µs (SLO: <10.000µs 📉 -71.1%) vs baseline: +0.3%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%

✅ re_findall_noaspect

Time: ✅ 1.399µs (SLO: <10.000µs 📉 -86.0%) vs baseline: -0.2%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ re_finditer_aspect

Time: ✅ 4.388µs (SLO: <10.000µs 📉 -56.1%) vs baseline: -0.7%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ re_finditer_noaspect

Time: ✅ 1.393µs (SLO: <10.000µs 📉 -86.1%) vs baseline: ~same

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.6%

✅ re_fullmatch_aspect

Time: ✅ 2.854µs (SLO: <10.000µs 📉 -71.5%) vs baseline: +7.7%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%

✅ re_fullmatch_noaspect

Time: ✅ 1.290µs (SLO: <10.000µs 📉 -87.1%) vs baseline: -0.4%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.9%

✅ re_group_aspect

Time: ✅ 3.109µs (SLO: <10.000µs 📉 -68.9%) vs baseline: +3.3%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.1%

✅ re_group_noaspect

Time: ✅ 1.612µs (SLO: <10.000µs 📉 -83.9%) vs baseline: +1.0%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ re_groups_aspect

Time: ✅ 3.215µs (SLO: <10.000µs 📉 -67.9%) vs baseline: +3.2%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ re_groups_noaspect

Time: ✅ 1.723µs (SLO: <10.000µs 📉 -82.8%) vs baseline: +2.0%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.1%

✅ re_match_aspect

Time: ✅ 2.875µs (SLO: <10.000µs 📉 -71.2%) vs baseline: +4.7%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.2%

✅ re_match_noaspect

Time: ✅ 1.308µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +1.3%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%

✅ re_search_aspect

Time: ✅ 2.529µs (SLO: <10.000µs 📉 -74.7%) vs baseline: -0.8%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +5.4%

✅ re_search_noaspect

Time: ✅ 1.194µs (SLO: <10.000µs 📉 -88.1%) vs baseline: +0.1%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.2%

✅ re_sub_aspect

Time: ✅ 3.368µs (SLO: <10.000µs 📉 -66.3%) vs baseline: -0.2%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ re_sub_noaspect

Time: ✅ 1.528µs (SLO: <10.000µs 📉 -84.7%) vs baseline: +0.7%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ re_subn_aspect

Time: ✅ 3.646µs (SLO: <10.000µs 📉 -63.5%) vs baseline: +0.2%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.7%

✅ re_subn_noaspect

Time: ✅ 1.590µs (SLO: <10.000µs 📉 -84.1%) vs baseline: -0.6%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.5%

✅ iastaspects - 118/118

✅ add_aspect

Time: ✅ 0.401µs (SLO: <10.000µs 📉 -96.0%) vs baseline: ~same

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.9%

✅ add_inplace_aspect

Time: ✅ 0.406µs (SLO: <10.000µs 📉 -95.9%) vs baseline: -0.3%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ add_inplace_noaspect

Time: ✅ 0.318µs (SLO: <10.000µs 📉 -96.8%) vs baseline: +0.2%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%

✅ add_noaspect

Time: ✅ 0.276µs (SLO: <10.000µs 📉 -97.2%) vs baseline: +0.1%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%

✅ bytearray_aspect

Time: ✅ 1.322µs (SLO: <10.000µs 📉 -86.8%) vs baseline: -2.0%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%

✅ bytearray_extend_aspect

Time: ✅ 1.499µs (SLO: <10.000µs 📉 -85.0%) vs baseline: +0.7%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.7%

✅ bytearray_extend_noaspect

Time: ✅ 0.613µs (SLO: <10.000µs 📉 -93.9%) vs baseline: ~same

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ bytearray_noaspect

Time: ✅ 0.481µs (SLO: <10.000µs 📉 -95.2%) vs baseline: ~same

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ bytes_aspect

Time: ✅ 1.285µs (SLO: <10.000µs 📉 -87.1%) vs baseline: -1.6%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%

✅ bytes_noaspect

Time: ✅ 0.493µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -0.5%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.6%

✅ bytesio_aspect

Time: ✅ 1.337µs (SLO: <10.000µs 📉 -86.6%) vs baseline: -0.7%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.8%

✅ bytesio_noaspect

Time: ✅ 0.501µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +1.1%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.2%

✅ capitalize_aspect

Time: ✅ 0.741µs (SLO: <10.000µs 📉 -92.6%) vs baseline: +0.9%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +5.0%

✅ capitalize_noaspect

Time: ✅ 0.434µs (SLO: <10.000µs 📉 -95.7%) vs baseline: -1.4%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ casefold_aspect

Time: ✅ 0.744µs (SLO: <10.000µs 📉 -92.6%) vs baseline: -0.3%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%

✅ casefold_noaspect

Time: ✅ 0.368µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -1.2%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.8%

✅ decode_aspect

Time: ✅ 0.720µs (SLO: <10.000µs 📉 -92.8%) vs baseline: -0.3%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ decode_noaspect

Time: ✅ 0.419µs (SLO: <10.000µs 📉 -95.8%) vs baseline: -0.3%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.1%

✅ encode_aspect

Time: ✅ 0.707µs (SLO: <10.000µs 📉 -92.9%) vs baseline: -0.9%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%

✅ encode_noaspect

Time: ✅ 0.401µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -0.4%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ format_aspect

Time: ✅ 3.370µs (SLO: <10.000µs 📉 -66.3%) vs baseline: -1.2%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ format_map_aspect

Time: ✅ 3.635µs (SLO: <10.000µs 📉 -63.6%) vs baseline: ~same

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +4.7%

✅ format_map_noaspect

Time: ✅ 0.780µs (SLO: <10.000µs 📉 -92.2%) vs baseline: +0.9%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%

✅ format_noaspect

Time: ✅ 0.599µs (SLO: <10.000µs 📉 -94.0%) vs baseline: -1.9%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ index_aspect

Time: ✅ 0.356µs (SLO: <10.000µs 📉 -96.4%) vs baseline: -0.5%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.5%

✅ index_noaspect

Time: ✅ 0.277µs (SLO: <10.000µs 📉 -97.2%) vs baseline: -1.2%

Memory: ✅ 37.356MB (SLO: <39.000MB -4.2%) vs baseline: +5.0%

✅ join_aspect

Time: ✅ 1.358µs (SLO: <10.000µs 📉 -86.4%) vs baseline: +0.5%

Memory: ✅ 37.198MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%

✅ join_noaspect

Time: ✅ 0.487µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -1.1%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ ljust_aspect

Time: ✅ 2.570µs (SLO: <20.000µs 📉 -87.2%) vs baseline: -1.8%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.9%

✅ ljust_noaspect

Time: ✅ 0.402µs (SLO: <10.000µs 📉 -96.0%) vs baseline: -1.0%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%

✅ lower_aspect

Time: ✅ 2.206µs (SLO: <10.000µs 📉 -77.9%) vs baseline: +0.8%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%

✅ lower_noaspect

Time: ✅ 0.369µs (SLO: <10.000µs 📉 -96.3%) vs baseline: +1.9%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ lstrip_aspect

Time: ✅ 2.195µs (SLO: <20.000µs 📉 -89.0%) vs baseline: -0.4%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ lstrip_noaspect

Time: ✅ 0.382µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -0.4%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%

✅ modulo_aspect

Time: ✅ 0.989µs (SLO: <10.000µs 📉 -90.1%) vs baseline: -0.5%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +5.0%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 1.526µs (SLO: <10.000µs 📉 -84.7%) vs baseline: -0.5%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ modulo_aspect_for_bytes

Time: ✅ 0.979µs (SLO: <10.000µs 📉 -90.2%) vs baseline: +0.2%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.7%

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 1.203µs (SLO: <10.000µs 📉 -88.0%) vs baseline: +1.0%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%

✅ modulo_noaspect

Time: ✅ 0.627µs (SLO: <10.000µs 📉 -93.7%) vs baseline: -2.1%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.7%

✅ replace_aspect

Time: ✅ 4.887µs (SLO: <10.000µs 📉 -51.1%) vs baseline: -0.8%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.5%

✅ replace_noaspect

Time: ✅ 0.462µs (SLO: <10.000µs 📉 -95.4%) vs baseline: -0.1%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ repr_aspect

Time: ✅ 0.903µs (SLO: <10.000µs 📉 -91.0%) vs baseline: -0.2%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.8%

✅ repr_noaspect

Time: ✅ 0.416µs (SLO: <10.000µs 📉 -95.8%) vs baseline: -0.7%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%

✅ rstrip_aspect

Time: ✅ 1.897µs (SLO: <20.000µs 📉 -90.5%) vs baseline: -0.3%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.4%

✅ rstrip_noaspect

Time: ✅ 0.377µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -1.8%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.6%

✅ slice_aspect

Time: ✅ 0.496µs (SLO: <10.000µs 📉 -95.0%) vs baseline: ~same

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%

✅ slice_noaspect

Time: ✅ 0.446µs (SLO: <10.000µs 📉 -95.5%) vs baseline: +0.3%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ stringio_aspect

Time: ✅ 1.556µs (SLO: <10.000µs 📉 -84.4%) vs baseline: +0.5%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.8%

✅ stringio_noaspect

Time: ✅ 0.711µs (SLO: <10.000µs 📉 -92.9%) vs baseline: +0.1%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.9%

✅ strip_aspect

Time: ✅ 2.199µs (SLO: <20.000µs 📉 -89.0%) vs baseline: -0.2%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.8%

✅ strip_noaspect

Time: ✅ 0.385µs (SLO: <10.000µs 📉 -96.1%) vs baseline: ~same

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ swapcase_aspect

Time: ✅ 2.402µs (SLO: <10.000µs 📉 -76.0%) vs baseline: +0.1%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%

✅ swapcase_noaspect

Time: ✅ 0.535µs (SLO: <10.000µs 📉 -94.7%) vs baseline: -0.2%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +4.9%

✅ title_aspect

Time: ✅ 2.360µs (SLO: <10.000µs 📉 -76.4%) vs baseline: +1.4%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +5.1%

✅ title_noaspect

Time: ✅ 0.498µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +0.4%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ translate_aspect

Time: ✅ 3.261µs (SLO: <10.000µs 📉 -67.4%) vs baseline: +0.3%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +4.7%

✅ translate_noaspect

Time: ✅ 1.041µs (SLO: <10.000µs 📉 -89.6%) vs baseline: +0.7%

Memory: ✅ 37.218MB (SLO: <39.000MB -4.6%) vs baseline: +4.9%

✅ upper_aspect

Time: ✅ 2.211µs (SLO: <10.000µs 📉 -77.9%) vs baseline: +0.2%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.1%

✅ upper_noaspect

Time: ✅ 0.368µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -1.2%

Memory: ✅ 37.316MB (SLO: <39.000MB -4.3%) vs baseline: +5.0%

✅ iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 4.173µs (SLO: <10.000µs 📉 -58.3%) vs baseline: ~same

Memory: ✅ 37.002MB (SLO: <39.000MB -5.1%) vs baseline: +4.3%

✅ ospathbasename_noaspect

Time: ✅ 1.088µs (SLO: <10.000µs 📉 -89.1%) vs baseline: +0.8%

Memory: ✅ 37.002MB (SLO: <39.000MB -5.1%) vs baseline: +4.0%

✅ ospathjoin_aspect

Time: ✅ 6.124µs (SLO: <10.000µs 📉 -38.8%) vs baseline: +0.8%

Memory: ✅ 36.923MB (SLO: <39.000MB -5.3%) vs baseline: +4.2%

✅ ospathjoin_noaspect

Time: ✅ 2.300µs (SLO: <10.000µs 📉 -77.0%) vs baseline: +0.2%

Memory: ✅ 37.336MB (SLO: <39.000MB -4.3%) vs baseline: +5.6%

✅ ospathnormcase_aspect

Time: ✅ 3.454µs (SLO: <10.000µs 📉 -65.5%) vs baseline: +0.9%

Memory: ✅ 37.159MB (SLO: <39.000MB -4.7%) vs baseline: +4.6%

✅ ospathnormcase_noaspect

Time: ✅ 0.574µs (SLO: <10.000µs 📉 -94.3%) vs baseline: +1.4%

Memory: ✅ 37.159MB (SLO: <39.000MB -4.7%) vs baseline: +4.6%

✅ ospathsplit_aspect

Time: ✅ 4.748µs (SLO: <10.000µs 📉 -52.5%) vs baseline: -0.3%

Memory: ✅ 37.297MB (SLO: <39.000MB -4.4%) vs baseline: +4.7%

✅ ospathsplit_noaspect

Time: ✅ 1.595µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.2%

Memory: ✅ 37.238MB (SLO: <39.000MB -4.5%) vs baseline: +5.0%

✅ ospathsplitdrive_aspect

Time: ✅ 3.637µs (SLO: <10.000µs 📉 -63.6%) vs baseline: -0.5%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +5.0%

✅ ospathsplitdrive_noaspect

Time: ✅ 0.695µs (SLO: <10.000µs 📉 -93.1%) vs baseline: -0.9%

Memory: ✅ 36.943MB (SLO: <39.000MB -5.3%) vs baseline: +4.1%

✅ ospathsplitext_aspect

Time: ✅ 4.513µs (SLO: <10.000µs 📉 -54.9%) vs baseline: +0.7%

Memory: ✅ 37.080MB (SLO: <39.000MB -4.9%) vs baseline: +4.5%

✅ ospathsplitext_noaspect

Time: ✅ 1.376µs (SLO: <10.000µs 📉 -86.2%) vs baseline: -0.5%

Memory: ✅ 37.120MB (SLO: <39.000MB -4.8%) vs baseline: +4.3%

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.412µs (SLO: <10.000µs 📉 -85.9%) vs baseline: -1.1%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.6%

✅ rsplit_noaspect

Time: ✅ 0.584µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.1%

Memory: ✅ 37.257MB (SLO: <39.000MB -4.5%) vs baseline: +5.1%

✅ split_aspect

Time: ✅ 1.401µs (SLO: <10.000µs 📉 -86.0%) vs baseline: -1.0%

Memory: ✅ 37.395MB (SLO: <39.000MB -4.1%) vs baseline: +5.9%

✅ split_noaspect

Time: ✅ 0.571µs (SLO: <10.000µs 📉 -94.3%) vs baseline: -0.9%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ splitlines_aspect

Time: ✅ 1.409µs (SLO: <10.000µs 📉 -85.9%) vs baseline: +0.5%

Memory: ✅ 37.277MB (SLO: <39.000MB -4.4%) vs baseline: +4.9%

✅ splitlines_noaspect

Time: ✅ 0.581µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.6%

Memory: ✅ 37.375MB (SLO: <39.000MB -4.2%) vs baseline: +5.6%

✅ iastpropagation - 2/2

✅ no-propagation

Time: ✅ 48.965µs (SLO: <60.000µs 📉 -18.4%) vs baseline: +0.1%

Memory: ✅ 36.825MB (SLO: <39.000MB -5.6%) vs baseline: +4.7%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.698ms (SLO: <42.000ms -3.1%) vs baseline: +0.3%

Memory: ✅ 34.328MB (SLO: <39.000MB 📉 -12.0%) vs baseline: +4.9%

✅ add-link

Time: ✅ 36.274ms (SLO: <38.550ms -5.9%) vs baseline: -0.4%

Memory: ✅ 34.406MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +5.0%

✅ add-metrics

Time: ✅ 219.941ms (SLO: <232.000ms -5.2%) vs baseline: -0.3%

Memory: ✅ 34.406MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +4.9%

✅ add-tags

Time: ✅ 210.347ms (SLO: <221.600ms -5.1%) vs baseline: -0.7%

Memory: ✅ 34.426MB (SLO: <39.000MB 📉 -11.7%) vs baseline: +4.8%

✅ get-context

Time: ✅ 29.130ms (SLO: <31.300ms -6.9%) vs baseline: ~same

Memory: ✅ 34.328MB (SLO: <39.000MB 📉 -12.0%) vs baseline: +4.7%

✅ is-recording

Time: ✅ 29.253ms (SLO: <31.000ms -5.6%) vs baseline: +0.9%

Memory: ✅ 34.347MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +5.0%

✅ record-exception

Time: ✅ 63.444ms (SLO: <65.850ms -3.7%) vs baseline: +0.7%

Memory: ✅ 34.367MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +5.0%

✅ set-status

Time: ✅ 32.134ms (SLO: <34.150ms -5.9%) vs baseline: +1.3%

Memory: ✅ 34.367MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +4.9%

✅ start

Time: ✅ 28.873ms (SLO: <30.150ms -4.2%) vs baseline: +0.5%

Memory: ✅ 34.406MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +5.2%

✅ start-finish

Time: ✅ 33.844ms (SLO: <35.350ms -4.3%) vs baseline: ~same

Memory: ✅ 34.406MB (SLO: <39.000MB 📉 -11.8%) vs baseline: +5.1%

✅ start-finish-telemetry

Time: ✅ 33.987ms (SLO: <35.450ms -4.1%) vs baseline: ~same

Memory: ✅ 34.367MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +4.9%

✅ update-name

Time: ✅ 31.228ms (SLO: <33.400ms -6.5%) vs baseline: +1.0%

Memory: ✅ 34.347MB (SLO: <39.000MB 📉 -11.9%) vs baseline: +4.9%

✅ otelspan - 22/22

✅ add-event

Time: ✅ 40.109ms (SLO: <47.150ms 📉 -14.9%) vs baseline: -1.2%

Memory: ✅ 43.350MB (SLO: <47.000MB -7.8%) vs baseline: +4.5%

✅ add-metrics

Time: ✅ 261.793ms (SLO: <344.800ms 📉 -24.1%) vs baseline: +0.7%

Memory: ✅ 651.854MB (SLO: <675.000MB -3.4%) vs baseline: +4.8%

✅ add-tags

Time: ✅ 315.145ms (SLO: <344.800ms -8.6%) vs baseline: +0.2%

Memory: ✅ 651.039MB (SLO: <675.000MB -3.5%) vs baseline: +4.8%

✅ get-context

Time: ✅ 80.004ms (SLO: <92.350ms 📉 -13.4%) vs baseline: -0.3%

Memory: ✅ 39.231MB (SLO: <46.500MB 📉 -15.6%) vs baseline: +4.8%

✅ is-recording

Time: ✅ 38.834ms (SLO: <44.500ms 📉 -12.7%) vs baseline: +2.2%

Memory: ✅ 42.917MB (SLO: <47.500MB -9.6%) vs baseline: +5.0%

✅ record-exception

Time: ✅ 58.283ms (SLO: <67.650ms 📉 -13.8%) vs baseline: +0.2%

Memory: ✅ 39.606MB (SLO: <47.000MB 📉 -15.7%) vs baseline: +5.0%

✅ set-status

Time: ✅ 44.327ms (SLO: <50.400ms 📉 -12.1%) vs baseline: -0.2%

Memory: ✅ 42.804MB (SLO: <47.000MB -8.9%) vs baseline: +4.8%

✅ start

Time: ✅ 38.220ms (SLO: <43.450ms 📉 -12.0%) vs baseline: +2.5%

Memory: ✅ 42.809MB (SLO: <47.000MB -8.9%) vs baseline: +4.6%

✅ start-finish

Time: ✅ 81.778ms (SLO: <88.000ms -7.1%) vs baseline: +0.1%

Memory: ✅ 34.111MB (SLO: <46.500MB 📉 -26.6%) vs baseline: +5.3%

✅ start-finish-telemetry

Time: ✅ 83.229ms (SLO: <89.000ms -6.5%) vs baseline: -0.2%

Memory: ✅ 34.151MB (SLO: <46.500MB 📉 -26.6%) vs baseline: +5.2%

✅ update-name

Time: ✅ 39.882ms (SLO: <45.150ms 📉 -11.7%) vs baseline: +2.5%

Memory: ✅ 43.047MB (SLO: <47.000MB -8.4%) vs baseline: +4.7%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 342.513ms (SLO: <354.300ms -3.3%) vs baseline: +0.1%

Memory: ✅ 37.740MB (SLO: <40.000MB -5.6%) vs baseline: +5.2%

✅ cache_on

Time: ✅ 0.385µs (SLO: <10.000µs 📉 -96.2%) vs baseline: +0.6%

Memory: ✅ 36.534MB (SLO: <39.000MB -6.3%) vs baseline: +4.9%

✅ packagesupdateimporteddependencies - 24/24

✅ import_many

Time: ✅ 155.261µs (SLO: <170.000µs -8.7%) vs baseline: -0.6%

Memory: ✅ 36.829MB (SLO: <38.500MB -4.3%) vs baseline: +4.8%

✅ import_many_cached

Time: ✅ 121.224µs (SLO: <130.000µs -6.8%) vs baseline: +0.2%

Memory: ✅ 36.846MB (SLO: <38.500MB -4.3%) vs baseline: +5.0%

✅ import_many_stdlib

Time: ✅ 1.631ms (SLO: <1.750ms -6.8%) vs baseline: ~same

Memory: ✅ 36.943MB (SLO: <38.500MB -4.0%) vs baseline: +4.6%

✅ import_many_stdlib_cached

Time: ✅ 0.985ms (SLO: <1.100ms 📉 -10.4%) vs baseline: -0.2%

Memory: ✅ 36.919MB (SLO: <38.500MB -4.1%) vs baseline: +4.8%

✅ import_many_unknown

Time: ✅ 830.550µs (SLO: <890.000µs -6.7%) vs baseline: +0.6%

Memory: ✅ 36.977MB (SLO: <38.500MB -4.0%) vs baseline: +5.1%

✅ import_many_unknown_cached

Time: ✅ 791.411µs (SLO: <870.000µs -9.0%) vs baseline: -0.5%

Memory: ✅ 36.756MB (SLO: <38.500MB -4.5%) vs baseline: +4.5%

✅ import_one

Time: ✅ 19.798µs (SLO: <30.000µs 📉 -34.0%) vs baseline: -0.6%

Memory: ✅ 36.788MB (SLO: <39.000MB -5.7%) vs baseline: +4.9%

✅ import_one_cache

Time: ✅ 6.283µs (SLO: <10.000µs 📉 -37.2%) vs baseline: -0.4%

Memory: ✅ 36.753MB (SLO: <38.500MB -4.5%) vs baseline: +5.0%

✅ import_one_stdlib

Time: ✅ 18.810µs (SLO: <20.000µs -5.9%) vs baseline: +0.3%

Memory: ✅ 36.690MB (SLO: <38.500MB -4.7%) vs baseline: +4.7%

✅ import_one_stdlib_cache

Time: ✅ 6.284µs (SLO: <10.000µs 📉 -37.2%) vs baseline: -0.1%

Memory: ✅ 36.696MB (SLO: <38.500MB -4.7%) vs baseline: +4.6%

✅ import_one_unknown

Time: ✅ 45.338µs (SLO: <50.000µs -9.3%) vs baseline: -0.6%

Memory: ✅ 36.750MB (SLO: <38.500MB -4.5%) vs baseline: +5.7%

✅ import_one_unknown_cache

Time: ✅ 6.278µs (SLO: <10.000µs 📉 -37.2%) vs baseline: -0.7%

Memory: ✅ 36.730MB (SLO: <38.500MB -4.6%) vs baseline: +4.6%

✅ ratelimiter - 12/12

✅ defaults

Time: ✅ 2.340µs (SLO: <10.000µs 📉 -76.6%) vs baseline: ~same

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.6%

✅ high_rate_limit

Time: ✅ 2.384µs (SLO: <10.000µs 📉 -76.2%) vs baseline: -1.6%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.8%

✅ long_window

Time: ✅ 2.344µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -1.1%

Memory: ✅ 31.595MB (SLO: <34.000MB -7.1%) vs baseline: +5.1%

✅ low_rate_limit

Time: ✅ 2.338µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -0.9%

Memory: ✅ 31.556MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%

✅ no_rate_limit

Time: ✅ 0.823µs (SLO: <10.000µs 📉 -91.8%) vs baseline: -0.6%

Memory: ✅ 31.556MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%

✅ short_window

Time: ✅ 2.472µs (SLO: <10.000µs 📉 -75.3%) vs baseline: -1.1%

Memory: ✅ 31.477MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%

✅ recursivecomputation - 8/8

✅ deep

Time: ✅ 309.441ms (SLO: <320.950ms -3.6%) vs baseline: +0.3%

Memory: ✅ 32.657MB (SLO: <34.500MB -5.3%) vs baseline: +4.7%

✅ deep-profiled

Time: ✅ 327.079ms (SLO: <359.150ms -8.9%) vs baseline: -0.3%

Memory: ✅ 37.948MB (SLO: <39.000MB -2.7%) vs baseline: +4.0%

✅ medium

Time: ✅ 7.014ms (SLO: <7.400ms -5.2%) vs baseline: ~same

Memory: ✅ 31.457MB (SLO: <34.000MB -7.5%) vs baseline: +4.7%

✅ shallow

Time: ✅ 0.947ms (SLO: <1.050ms -9.8%) vs baseline: +0.8%

Memory: ✅ 31.497MB (SLO: <34.000MB -7.4%) vs baseline: +4.7%

✅ samplingrules - 8/8

✅ average_match

Time: ✅ 137.538µs (SLO: <290.000µs 📉 -52.6%) vs baseline: ~same

Memory: ✅ 31.457MB (SLO: <34.000MB -7.5%) vs baseline: +4.5%

✅ high_match

Time: ✅ 172.459µs (SLO: <480.000µs 📉 -64.1%) vs baseline: -0.7%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +5.1%

✅ low_match

Time: ✅ 98.729µs (SLO: <120.000µs 📉 -17.7%) vs baseline: ~same

Memory: ✅ 600.380MB (SLO: <700.000MB 📉 -14.2%) vs baseline: +4.8%

✅ very_low_match

Time: ✅ 2.654ms (SLO: <8.500ms 📉 -68.8%) vs baseline: -0.1%

Memory: ✅ 67.917MB (SLO: <75.000MB -9.4%) vs baseline: +4.9%

✅ sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.535µs (SLO: <20.000µs 📉 -47.3%) vs baseline: +0.5%

Memory: ✅ 32.342MB (SLO: <34.000MB -4.9%) vs baseline: +4.6%

✅ all-enabled

Time: ✅ 40.137µs (SLO: <50.000µs 📉 -19.7%) vs baseline: +0.8%

Memory: ✅ 32.342MB (SLO: <34.000MB -4.9%) vs baseline: +4.6%

✅ collectipvariant_exists

Time: ✅ 40.973µs (SLO: <50.000µs 📉 -18.1%) vs baseline: +1.0%

Memory: ✅ 32.440MB (SLO: <34.000MB -4.6%) vs baseline: +4.9%

✅ no-collectipvariant

Time: ✅ 40.217µs (SLO: <50.000µs 📉 -19.6%) vs baseline: +0.9%

Memory: ✅ 32.342MB (SLO: <34.000MB -4.9%) vs baseline: +4.8%

✅ no-useragentvariant

Time: ✅ 38.971µs (SLO: <50.000µs 📉 -22.1%) vs baseline: +0.7%

Memory: ✅ 32.440MB (SLO: <34.000MB -4.6%) vs baseline: +5.2%

✅ obfuscation-no-query

Time: ✅ 40.485µs (SLO: <50.000µs 📉 -19.0%) vs baseline: +0.4%

Memory: ✅ 32.401MB (SLO: <34.000MB -4.7%) vs baseline: +4.8%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 76.400µs (SLO: <90.000µs 📉 -15.1%) vs baseline: +0.9%

Memory: ✅ 32.460MB (SLO: <34.000MB -4.5%) vs baseline: +5.1%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.590µs (SLO: <90.000µs 📉 -14.9%) vs baseline: +0.3%

Memory: ✅ 32.362MB (SLO: <34.000MB -4.8%) vs baseline: +4.9%

✅ obfuscation-send-querystring-disabled

Time: ✅ 154.975µs (SLO: <170.000µs -8.8%) vs baseline: +0.5%

Memory: ✅ 32.401MB (SLO: <34.500MB -6.1%) vs baseline: +5.0%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 148.831µs (SLO: <160.000µs -7.0%) vs baseline: +0.5%

Memory: ✅ 32.381MB (SLO: <34.500MB -6.1%) vs baseline: +4.8%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 155.098µs (SLO: <170.000µs -8.8%) vs baseline: +0.2%

Memory: ✅ 32.421MB (SLO: <34.500MB -6.0%) vs baseline: +5.1%

✅ useragentvariant_exists_1

Time: ✅ 39.633µs (SLO: <50.000µs 📉 -20.7%) vs baseline: +0.6%

Memory: ✅ 32.322MB (SLO: <34.000MB -4.9%) vs baseline: +4.6%

✅ useragentvariant_exists_2

Time: ✅ 40.699µs (SLO: <50.000µs 📉 -18.6%) vs baseline: +0.3%

Memory: ✅ 32.440MB (SLO: <34.000MB -4.6%) vs baseline: +4.7%

✅ useragentvariant_exists_3

Time: ✅ 40.249µs (SLO: <50.000µs 📉 -19.5%) vs baseline: +1.0%

Memory: ✅ 32.342MB (SLO: <34.000MB -4.9%) vs baseline: +4.8%

✅ useragentvariant_not_exists_1

Time: ✅ 39.843µs (SLO: <50.000µs 📉 -20.3%) vs baseline: +1.5%

Memory: ✅ 32.342MB (SLO: <34.000MB -4.9%) vs baseline: +4.5%

✅ useragentvariant_not_exists_2

Time: ✅ 39.692µs (SLO: <50.000µs 📉 -20.6%) vs baseline: +0.9%

Memory: ✅ 32.381MB (SLO: <34.000MB -4.8%) vs baseline: +5.0%

✅ span - 26/26

✅ add-event

Time: ✅ 19.955ms (SLO: <22.500ms 📉 -11.3%) vs baseline: +0.7%

Memory: ✅ 48.250MB (SLO: <53.000MB -9.0%) vs baseline: +4.8%

✅ add-metrics

Time: ✅ 89.985ms (SLO: <93.500ms -3.8%) vs baseline: -0.5%

Memory: ✅ 735.588MB (SLO: <961.000MB 📉 -23.5%) vs baseline: +4.8%

✅ add-tags

Time: ✅ 140.908ms (SLO: <155.000ms -9.1%) vs baseline: -0.3%

Memory: ✅ 736.315MB (SLO: <962.500MB 📉 -23.5%) vs baseline: +5.0%

✅ get-context

Time: ✅ 18.311ms (SLO: <20.500ms 📉 -10.7%) vs baseline: -0.2%

Memory: ✅ 47.083MB (SLO: <53.000MB 📉 -11.2%) vs baseline: +4.6%

✅ is-recording

Time: ✅ 18.414ms (SLO: <20.500ms 📉 -10.2%) vs baseline: -1.0%

Memory: ✅ 47.145MB (SLO: <53.000MB 📉 -11.0%) vs baseline: +4.9%

✅ record-exception

Time: ✅ 37.272ms (SLO: <40.000ms -6.8%) vs baseline: -0.4%

Memory: ✅ 41.642MB (SLO: <53.000MB 📉 -21.4%) vs baseline: +5.1%

✅ set-status

Time: ✅ 19.926ms (SLO: <22.000ms -9.4%) vs baseline: -0.7%

Memory: ✅ 47.070MB (SLO: <53.000MB 📉 -11.2%) vs baseline: +4.7%

✅ start

Time: ✅ 18.090ms (SLO: <20.500ms 📉 -11.8%) vs baseline: -1.1%

Memory: ✅ 47.128MB (SLO: <53.000MB 📉 -11.1%) vs baseline: +4.8%

✅ start-finish

Time: ✅ 50.471ms (SLO: <52.500ms -3.9%) vs baseline: -0.8%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +4.8%

✅ start-finish-telemetry

Time: ✅ 52.342ms (SLO: <54.500ms -4.0%) vs baseline: +0.3%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +4.9%

✅ start-finish-traceid128

Time: ✅ 53.844ms (SLO: <57.000ms -5.5%) vs baseline: +0.2%

Memory: ✅ 31.575MB (SLO: <34.000MB -7.1%) vs baseline: +5.1%

✅ start-traceid128

Time: ✅ 18.521ms (SLO: <22.500ms 📉 -17.7%) vs baseline: -0.6%

Memory: ✅ 47.122MB (SLO: <53.000MB 📉 -11.1%) vs baseline: +4.6%

✅ update-name

Time: ✅ 18.486ms (SLO: <22.000ms 📉 -16.0%) vs baseline: ~same

Memory: ✅ 47.924MB (SLO: <53.000MB -9.6%) vs baseline: +5.0%

✅ tracer - 6/6

✅ large

Time: ✅ 28.846ms (SLO: <32.950ms 📉 -12.5%) vs baseline: +0.2%

Memory: ✅ 32.696MB (SLO: <34.500MB -5.2%) vs baseline: +4.7%

✅ medium

Time: ✅ 2.904ms (SLO: <3.200ms -9.3%) vs baseline: +0.5%

Memory: ✅ 31.536MB (SLO: <34.000MB -7.2%) vs baseline: +5.0%

✅ small

Time: ✅ 329.398µs (SLO: <370.000µs 📉 -11.0%) vs baseline: +0.8%

Memory: ✅ 31.516MB (SLO: <34.000MB -7.3%) vs baseline: +4.9%

ℹ️ Scenarios Missing SLO Configuration (9 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

taegyunkim · 2025-11-10T22:49:22Z

riotfile.py

            ],
        ),
-        Venv(
-            name="profile-diff",


@P403n1x87 don't think this venv is used anywhere. Deleting.

vlad-scherbich · 2025-11-11T15:47:32Z

Is there a plan to rename the remaining stack_v2 vars / files / etc to just stack? :)

vlad-scherbich · 2025-11-11T16:25:01Z

I'm concerned with the size of this diff: 2.6K lines added, 6K lines removed. I think we should break this up into several PRs.

Example suggestion:
PR 1: consolidate profiling_v2 collector tests into profiling dir
PR 2: same for exporter tests
PR 3: core changes
PR 4: stack_v2 --> stack renames everywhere

vlad-scherbich · 2025-11-11T16:26:36Z

One of the notable improvements from this PR is that StackCollector no longer spawns an extra background thread by inheriting from Collector instead of PeriodicService.

If this is not required for the stack v1 removal, I would make this a separate PR. Sounds like a major improvement that will benefit from extra visibility.

vlad-scherbich · 2025-11-11T15:48:40Z

ddtrace/internal/settings/profiling.py

 stack_v2_failure_msg, stack_v2_is_available = _check_for_stack_v2_available()
-if config.stack.v2_enabled and not stack_v2_is_available:
+if config.stack.enabled and not stack_v2_is_available:


Do we still need this stack_v2_is_available check?

Yes, it tells whether _stack_v2.so library is available or not.

vlad-scherbich · 2025-11-11T15:51:21Z

ddtrace/internal/settings/profiling.py

-            configured_features.append("stack_v2")
-        else:
-            configured_features.append("stack")
+        configured_features.append("stack_v2")


Should this be just stack, since there's no versioning anymore?

We can use that config str in at least two places

Searching/filtering for profiles

Searching/filtering crash logs

If we have it as stack, that would require us to have a separate logic to check for the version of the library, when we'd like to aggregate profiles/crash logs depending on the configuration.

vlad-scherbich · 2025-11-11T15:53:44Z

ddtrace/profiling/collector/threading.py

 # Also patch threading.Thread so echion can track thread lifetimes
 def init_stack_v2() -> None:
-    if config.stack.v2_enabled and stack_v2.is_available:
+    if config.stack.enabled and stack_v2.is_available:


same question for stack_v2

It tells us that whether _stack_v2.so file is available. I'd like to keep it.

vlad-scherbich · 2025-11-11T16:28:21Z

ddtrace/profiling/profiler.py

-                self._collectors.append(
-                    stack.StackCollector(
-                        tracer=self.tracer,
-                        endpoint_collection_enabled=self.endpoint_collection_enabled,


Curious why endpoint_collection_enabled was removed?

It's enabled by default and stack_v2 uses a different mechanism to support it.

https://docs.datadoghq.com/profiler/connect_traces_and_profiles/?tab=python#endpoint-profiling
this is what endpoint profiling is and these are relevant lines of code

dd-trace-py/ddtrace/internal/datadog/profiling/ddup/_ddup.pyx

Lines 390 to 394 in c412a40

processor = tracer._endpoint_call_counter_span_processor

endpoint_counts, endpoint_to_span_ids = processor.reset()

call_ddup_profile_set_endpoints(endpoint_to_span_ids)

call_ddup_profile_add_endpoint_counts(endpoint_counts)

taegyunkim · 2025-11-11T17:16:33Z

I'm concerned with the size of this diff: 2.6K lines added, 6K lines removed. I think we should break this up into several PRs.

Example suggestion: PR 1: consolidate profiling_v2 collector tests into profiling dir PR 2: same for exporter tests PR 3: core changes PR 4: stack_v2 --> stack renames everywhere

The removal of stack v1 is done mostly in a single PR as the deadline to make changes to 4.0-breaking-changes is today, and @brettlangdon requested me to remove the code as part of 4.0 release.

I initially thought of removing them after 4.0 was released as now it can't be enabled unless someone modifies the code to do so.

update settings

bd62d4c

taegyunkim requested a review from a team as a code owner November 7, 2025 18:35

taegyunkim requested a review from juanjux November 7, 2025 18:35

update django overhead workflow

15c3605

taegyunkim requested a review from a team as a code owner November 7, 2025 18:37

dead code elimination

d04cca0

taegyunkim requested a review from a team as a code owner November 7, 2025 18:48

taegyunkim requested a review from danielsn November 7, 2025 18:48

taegyunkim added 2 commits November 7, 2025 15:58

remove code checking not is_stack_v2

75ea88d

remove unneeded fields

df4de06

emmettbutler marked this pull request as draft November 7, 2025 21:03

taegyunkim added 2 commits November 7, 2025 16:05

update v2_enabled to enabled

dc7a931

moar deadcode

97a39c6

taegyunkim added the changelog/no-changelog A changelog entry is not required for this PR. label Nov 7, 2025

taegyunkim added 2 commits November 7, 2025 16:21

Merge branch '4.0-breaking-changes' into taegyunkim/remove-stack-v1

8856b30

remove dead code

f305836

taegyunkim added 11 commits November 7, 2025 17:30

remove irrelevant tests

5a27270

Merge branch '4.0-breaking-changes' into taegyunkim/remove-stack-v1

8c5ad97

remove duplicate test test_collect_truncate

a4e2b2a

remove duplicate test test_collect_gevent_threads

c937b6e

move test over test_collect_gevent_threads

98d38a4

remove tests that are no longer relevant

71dbd6d

move test_stack.py to profile-v2

fee8385

fix tests

ebe9f3b

delete duplicate tests and move tests to profile-v2

7676961

fix imports

619b77b

merge into profiling_v2 tests

61a6812

taegyunkim added 3 commits November 10, 2025 15:03

add back suitespec.yml

e9b01ed

update suitespec to run for all matching profile

a83f63e

update to 27

631d617

taegyunkim added the Profiling Continous Profling label Nov 10, 2025

taegyunkim added 12 commits November 10, 2025 15:36

update riot hashes

5686995

fix file paths

fa1456c

remove profile-diff

6b24b35

remove profile-diff venv

dd7cdb4

update parallelism

277a9e4

update test

e9ff22c

remove extra bg thread from stackcollector

c01f398

un-cythonize stack.pyx

636e6df

this test is no longer relevant as collect() does nothing

c7ea3c9

format

5a58fb3

format

acd3615

format

c412a40

taegyunkim changed the title ~~feat(profiling): remove stack v1 code from profiling~~ feat(profiling): remove stack v1 Nov 10, 2025

taegyunkim marked this pull request as ready for review November 10, 2025 22:42

taegyunkim requested a review from a team as a code owner November 10, 2025 22:42

taegyunkim requested a review from vlad-scherbich November 10, 2025 22:42

taegyunkim commented Nov 10, 2025

View reviewed changes

riotfile.py

],

),

Venv(

name="profile-diff",

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taegyunkim Nov 10, 2025

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@P403n1x87 don't think this venv is used anywhere. Deleting.

juanjux approved these changes Nov 11, 2025

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vlad-scherbich reviewed Nov 11, 2025

View reviewed changes

Merge branch '4.0-breaking-changes' into taegyunkim/remove-stack-v1

06b2266

taegyunkim mentioned this pull request Nov 11, 2025

chore(profiling): remove DD_PROFILING_STACK_V2_ENABLED env var #15213

Open

	processor = tracer._endpoint_call_counter_span_processor
	endpoint_counts, endpoint_to_span_ids = processor.reset()

	call_ddup_profile_set_endpoints(endpoint_to_span_ids)
	call_ddup_profile_add_endpoint_counts(endpoint_counts)

feat(profiling): remove stack v1 #15185

Are you sure you want to change the base?

feat(profiling): remove stack v1 #15185

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Testing

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Additional Notes

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Bootstrap import analysis

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Import time breakdown

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Performance SLOs

✅ 1-count-metric-1-times

✅ 1-count-metrics-100-times

✅ 1-distribution-metric-1-times

❌ 1-distribution-metrics-100-times

✅ 1-gauge-metric-1-times

✅ 1-gauge-metrics-100-times

✅ 1-rate-metric-1-times

✅ 1-rate-metrics-100-times

✅ 100-count-metrics-100-times

❌ 100-distribution-metrics-100-times

✅ 100-gauge-metrics-100-times

✅ 100-rate-metrics-100-times

✅ flush-1-metric

✅ flush-100-metrics

✅ flush-1000-metrics

✅ appsec

✅ exception-replay-enabled

✅ iast

✅ profiler

✅ resource-renaming

✅ span-code-origin

✅ tracer

✅ tracer-and-profiler

✅ tracer-dont-create-db-spans

✅ tracer-minimal

✅ tracer-native

✅ tracer-no-caches

✅ tracer-no-databases

✅ tracer-no-middleware

✅ tracer-no-templates

✅ errortracking-enabled-all

✅ errortracking-enabled-user

✅ tracer-enabled

✅ errortracking-enabled-all

✅ errortracking-enabled-user

✅ tracer-enabled

✅ appsec-get

✅ appsec-post

✅ appsec-telemetry

✅ debugger

✅ iast-get

✅ profiler

✅ resource-renaming

✅ tracer

✅ tracer-native

⚠️ context_with_data_listeners

✅ context_with_data_no_listeners

✅ get_item_exists

✅ get_item_missing

✅ set_item

✅ appsec-enabled

✅ iast-enabled

✅ tracer-enabled

✅ all_styles_all_headers

✅ b3_headers

✅ b3_single_headers

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

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