dd-trace-py refactor: native fork-safe threads

We refactor the native periodic thread implementation to be fork-safe whereby all such threads that are running at the time of a fork are automatically stopped before the fork, then restarted after it. We also take care to avoid stopping and restarting threads in the parent process if we detect an immediate call to fork again.

Some of the implications of this change are that there is no longer the need for fork-safe synchronisation objects, such as Locks and Events. This is because all (ddtrace) threads are guaranteed to be stopped before a fork, and restarted afterwards. There is also no longer the need to manually recreate threads, as currently done in many places. The only thing that needs to be taken care of is to ensure that the state of the periodic services is as expected after a fork. For example, many products have the need to avoid sending duplicate values from different processes. This can be achieved by either subclassing from ForksafeAwakeablePeriodicService and implementing the reset method to let any periodic service to automatically trigger the reset logic on forks (the preferred way), or by the current approach of registering a fork-safe hook.

Performance Analysis

Stopping and restarting threads can be expensive but gives good fork-safety guarantees. Because threads have to be joined before the fork can continue, a forked process might get delayed by a thread currently busy on I/O. Because our periodic threads run on periods that are O(1s), we can expect these unfortunate event to be quite rare. Besides, it is quite likely that a process forks at the very beginning of its execution, where it is unlikely that the periodic threads have had a chance to trigger their first periodic action.

The timer set around close fork invocation should reduce delays even more by preventing the parent process from stopping and restarting threads in between fork calls. To give some number, the invocation of 1000 forks in a tight loop with the tracer and the profiler enabled require ~1.2s to complete on an M1. In comparison, the same loop without ddtrace takes 0.3s. The same loop with stop/restart in between forks takes ~1.5s.

The wall-time view through a profiler gives the following picture:

A good portion of the overhead comes from the tracing of fork itself, which could be improved by moving it to the native layer in follow-up work.

Checklist

[ ] PR author has checked that all the criteria below are met
The PR description includes an overview of the change
The PR description articulates the motivation for the change
The change includes tests OR the PR description describes a testing strategy
The PR description notes risks associated with the change, if any
Newly-added code is easy to change
The change follows the library release note guidelines
The change includes or references documentation updates if necessary
Backport labels are set (if applicable)

Reviewer Checklist

[ ] Reviewer has checked that all the criteria below are met
Title is accurate
All changes are related to the pull request's stated goal
Avoids breaking API changes
Testing strategy adequately addresses listed risks
Newly-added code is easy to change
Release note makes sense to a user of the library
If necessary, author has acknowledged and discussed the performance implications of this PR as reported in the benchmarks PR comment
Backport labels are set in a manner that is consistent with the release branch maintenance policy

Jul 29 '25 10:07 P403n1x87

CODEOWNERS have been resolved as:

ddtrace/internal/threads.py                                             @DataDog/apm-core-python
ddtrace/_trace/context.py                                               @DataDog/apm-sdk-capabilities-python
ddtrace/contrib/internal/ray/span_manager.py                            @DataDog/ml-observability
ddtrace/contrib/internal/subprocess/patch.py                            @DataDog/asm-python
ddtrace/debugging/_encoding.py                                          @DataDog/debugger-python
ddtrace/debugging/_origin/span.py                                       @DataDog/debugger-python
ddtrace/debugging/_probe/registry.py                                    @DataDog/debugger-python
ddtrace/internal/_threads.cpp                                           @DataDog/apm-core-python
ddtrace/internal/_threads.pyi                                           @DataDog/apm-core-python
ddtrace/internal/datadog/profiling/stack_v2/src/sampler.cpp             @DataDog/profiling-python
ddtrace/internal/datastreams/processor.py                               @DataDog/data-streams-monitoring
ddtrace/internal/forksafe.py                                            @DataDog/apm-core-python
ddtrace/internal/periodic.py                                            @DataDog/apm-core-python
ddtrace/internal/processor/endpoint_call_counter.py                     @DataDog/apm-core-python
ddtrace/internal/processor/stats.py                                     @DataDog/apm-core-python
ddtrace/internal/remoteconfig/worker.py                                 @DataDog/remote-config @DataDog/apm-core-python
ddtrace/internal/runtime/runtime_metrics.py                             @DataDog/apm-sdk-capabilities-python
ddtrace/internal/service.py                                             @DataDog/apm-core-python
ddtrace/internal/telemetry/metrics_namespaces.pyx                       @DataDog/apm-python
ddtrace/internal/telemetry/writer.py                                    @DataDog/apm-python
ddtrace/llmobs/_evaluators/runner.py                                    @DataDog/ml-observability
ddtrace/llmobs/_llmobs.py                                               @DataDog/ml-observability
ddtrace/llmobs/_log_writer.py                                           @DataDog/ml-observability
ddtrace/llmobs/_writer.py                                               @DataDog/ml-observability
ddtrace/profiling/collector/stack.pyx                                   @DataDog/profiling-python
ddtrace/profiling/profiler.py                                           @DataDog/profiling-python
ddtrace/profiling/scheduler.py                                          @DataDog/profiling-python
tests/contrib/uwsgi/__init__.py                                         @DataDog/apm-core-python @DataDog/apm-idm-python
tests/internal/service_name/test_extra_services_names.py                @DataDog/apm-core-python
tests/internal/test_forksafe.py                                         @DataDog/apm-core-python
tests/internal/test_periodic.py                                         @DataDog/apm-core-python
tests/profiling/collector/pprof_utils.py                                @DataDog/profiling-python
tests/profiling/gevent_fork.py                                          @DataDog/profiling-python
tests/profiling/test_main.py                                            @DataDog/profiling-python
tests/profiling/test_uwsgi.py                                           @DataDog/profiling-python
tests/profiling/uwsgi-app.py                                            @DataDog/profiling-python
tests/profiling_v2/test_gunicorn.py                                     @DataDog/profiling-python
tests/profiling_v2/test_main.py                                         @DataDog/profiling-python
tests/profiling_v2/test_uwsgi.py                                        @DataDog/profiling-python

Jul 29 '25 10:07 github-actions[bot]

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 237 ± 2 ms.

The average import time from base is: 239 ± 2 ms.

The import time difference between this PR and base is: -1.79 ± 0.08 ms.

Import time breakdown

The following import paths have appeared:

ddtrace.auto 1.683 ms (0.71%)

ddtrace 1.683 ms (0.71%)

ddtrace._logger 1.683 ms (0.71%)

ddtrace.internal.telemetry 1.683 ms (0.71%)

ddtrace.internal.telemetry.writer 1.683 ms (0.71%)

ddtrace.internal.periodic 1.683 ms (0.71%)

ddtrace.internal.service 1.683 ms (0.71%)

ddtrace.internal.threads 1.683 ms (0.71%)

ddtrace.internal._threads 1.093 ms (0.46%)

The following import paths have disappeared:

ddtrace.auto 1.087 ms (0.46%)

ddtrace 1.087 ms (0.46%)

ddtrace._logger 1.087 ms (0.46%)

ddtrace.internal.telemetry 1.087 ms (0.46%)

ddtrace.internal.telemetry.writer 1.087 ms (0.46%)

ddtrace.internal.periodic 1.087 ms (0.46%)

ddtrace.internal._threads 1.087 ms (0.46%)

The following import paths have grown:

ddtrace.auto 0.252 ms (0.11%)

ddtrace 0.175 ms (0.07%)

ddtrace.settings._config 0.112 ms (0.05%)

ddtrace.internal.gitmetadata 0.112 ms (0.05%)

ddtrace._logger 0.062 ms (0.03%)

ddtrace.internal.telemetry 0.062 ms (0.03%)

ddtrace.internal.telemetry.writer 0.062 ms (0.03%)

ddtrace.internal.telemetry.metrics_namespaces 0.062 ms (0.03%)

ddtrace.bootstrap.sitecustomize 0.078 ms (0.03%)

ddtrace.bootstrap.preload 0.078 ms (0.03%)

ddtrace.debugging._import 0.078 ms (0.03%)

ddtrace.debugging._function.discovery 0.078 ms (0.03%)

The following import paths have shrunk:

ddtrace.auto 2.442 ms (1.03%)

ddtrace.bootstrap.sitecustomize 1.435 ms (0.61%)

ddtrace.bootstrap.preload 1.435 ms (0.61%)

ddtrace.internal.remoteconfig.client 0.641 ms (0.27%)

ddtrace.debugging._import 0.092 ms (0.04%)

ddtrace.settings.profiling 0.015 ms (0.01%)

ddtrace.internal.datadog.profiling.ddup 0.015 ms (0.01%)

ddtrace.internal.datadog.profiling.ddup._ddup 0.015 ms (0.01%)

ddtrace.internal.datadog.profiling.code_provenance 0.015 ms (0.01%)

ddtrace 1.007 ms (0.43%)

ddtrace._logger 0.179 ms (0.08%)

ddtrace.internal.telemetry 0.179 ms (0.08%)

ddtrace.internal.telemetry.writer 0.179 ms (0.08%)

ddtrace.internal.periodic 0.107 ms (0.05%)

ddtrace.internal.service 0.078 ms (0.03%)

ddtrace.settings._config 0.111 ms (0.05%)

ddtrace.internal.schema 0.111 ms (0.05%)

ddtrace.internal.schema.span_attribute_schema 0.111 ms (0.05%)

ddtrace.internal._unpatched 0.060 ms (0.03%)

subprocess 0.031 ms (0.01%)

contextlib 0.031 ms (0.01%)

json 0.029 ms (0.01%)

json.decoder 0.029 ms (0.01%)

re 0.029 ms (0.01%)

enum 0.029 ms (0.01%)

types 0.029 ms (0.01%)

Jul 29 '25 10:07 github-actions[bot]

Performance SLOs

Comparing candidate refactor/native-forksafe-threads (f421c59f58e9bcacf4f70f58cd0facdcce478ca6) with baseline main (fcedfb080c9f7f343934ccec2b9156393790426d)

📈 Performance Regressions (1 suite)

📈 iastaspects - 118/118

✅ add_aspect

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

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.0%

✅ add_inplace_aspect

Time: ✅ 0.405µs (SLO: <10.000µs 📉 -96.0%) vs baseline: +0.3%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.8%

✅ add_inplace_noaspect

Time: ✅ 0.318µs (SLO: <10.000µs 📉 -96.8%) vs baseline: -0.4%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ add_noaspect

Time: ✅ 0.277µs (SLO: <10.000µs 📉 -97.2%) vs baseline: -0.8%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ bytearray_aspect

Time: ✅ 1.363µs (SLO: <10.000µs 📉 -86.4%) vs baseline: ~same

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.1%

✅ bytearray_extend_aspect

Time: ✅ 1.516µs (SLO: <10.000µs 📉 -84.8%) vs baseline: +0.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ bytearray_extend_noaspect

Time: ✅ 0.617µs (SLO: <10.000µs 📉 -93.8%) vs baseline: +0.5%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ bytearray_noaspect

Time: ✅ 0.491µs (SLO: <10.000µs 📉 -95.1%) vs baseline: +1.9%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ bytes_aspect

Time: ✅ 1.518µs (SLO: <10.000µs 📉 -84.8%) vs baseline: 📈 +18.8%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +4.9%

✅ bytes_noaspect

Time: ✅ 0.497µs (SLO: <10.000µs 📉 -95.0%) vs baseline: +1.4%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ bytesio_aspect

Time: ✅ 1.360µs (SLO: <10.000µs 📉 -86.4%) vs baseline: ~same

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ bytesio_noaspect

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

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ capitalize_aspect

Time: ✅ 0.731µs (SLO: <10.000µs 📉 -92.7%) vs baseline: +0.1%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.6%

✅ capitalize_noaspect

Time: ✅ 0.431µs (SLO: <10.000µs 📉 -95.7%) vs baseline: -0.8%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ casefold_aspect

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

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ casefold_noaspect

Time: ✅ 0.366µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -1.0%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +4.9%

✅ decode_aspect

Time: ✅ 0.726µs (SLO: <10.000µs 📉 -92.7%) vs baseline: +0.5%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ decode_noaspect

Time: ✅ 0.424µs (SLO: <10.000µs 📉 -95.8%) vs baseline: ~same

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.7%

✅ encode_aspect

Time: ✅ 0.708µs (SLO: <10.000µs 📉 -92.9%) vs baseline: +0.9%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.8%

✅ encode_noaspect

Time: ✅ 0.406µs (SLO: <10.000µs 📉 -95.9%) vs baseline: +0.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ format_aspect

Time: ✅ 3.391µs (SLO: <10.000µs 📉 -66.1%) vs baseline: ~same

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ format_map_aspect

Time: ✅ 3.666µs (SLO: <10.000µs 📉 -63.3%) vs baseline: ~same

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ format_map_noaspect

Time: ✅ 0.777µs (SLO: <10.000µs 📉 -92.2%) vs baseline: ~same

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ format_noaspect

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

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ index_aspect

Time: ✅ 0.355µs (SLO: <10.000µs 📉 -96.5%) vs baseline: -1.5%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ index_noaspect

Time: ✅ 0.279µs (SLO: <10.000µs 📉 -97.2%) vs baseline: +0.7%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ join_aspect

Time: ✅ 1.345µs (SLO: <10.000µs 📉 -86.5%) vs baseline: -0.6%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ join_noaspect

Time: ✅ 0.491µs (SLO: <10.000µs 📉 -95.1%) vs baseline: +0.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ ljust_aspect

Time: ✅ 2.546µs (SLO: <20.000µs 📉 -87.3%) vs baseline: -0.9%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ ljust_noaspect

Time: ✅ 0.403µs (SLO: <10.000µs 📉 -96.0%) vs baseline: ~same

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ lower_aspect

Time: ✅ 2.176µs (SLO: <10.000µs 📉 -78.2%) vs baseline: +0.3%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.0%

✅ lower_noaspect

Time: ✅ 0.366µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -2.0%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ lstrip_aspect

Time: ✅ 2.208µs (SLO: <20.000µs 📉 -89.0%) vs baseline: +0.4%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ lstrip_noaspect

Time: ✅ 0.383µs (SLO: <10.000µs 📉 -96.2%) vs baseline: -0.8%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ modulo_aspect

Time: ✅ 0.990µs (SLO: <10.000µs 📉 -90.1%) vs baseline: -1.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ modulo_aspect_for_bytearray_bytearray

Time: ✅ 1.551µs (SLO: <10.000µs 📉 -84.5%) vs baseline: -0.7%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ modulo_aspect_for_bytes

Time: ✅ 0.967µs (SLO: <10.000µs 📉 -90.3%) vs baseline: -1.1%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.1%

✅ modulo_aspect_for_bytes_bytearray

Time: ✅ 1.218µs (SLO: <10.000µs 📉 -87.8%) vs baseline: -0.9%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ modulo_noaspect

Time: ✅ 0.632µs (SLO: <10.000µs 📉 -93.7%) vs baseline: ~same

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ replace_aspect

Time: ✅ 4.951µs (SLO: <10.000µs 📉 -50.5%) vs baseline: +1.1%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ replace_noaspect

Time: ✅ 0.459µs (SLO: <10.000µs 📉 -95.4%) vs baseline: -1.0%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.1%

✅ repr_aspect

Time: ✅ 0.909µs (SLO: <10.000µs 📉 -90.9%) vs baseline: -0.1%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ repr_noaspect

Time: ✅ 0.409µs (SLO: <10.000µs 📉 -95.9%) vs baseline: -1.6%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ rstrip_aspect

Time: ✅ 1.903µs (SLO: <20.000µs 📉 -90.5%) vs baseline: -0.5%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ rstrip_noaspect

Time: ✅ 0.374µs (SLO: <10.000µs 📉 -96.3%) vs baseline: -0.8%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ slice_aspect

Time: ✅ 0.490µs (SLO: <10.000µs 📉 -95.1%) vs baseline: -1.6%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ slice_noaspect

Time: ✅ 0.450µs (SLO: <10.000µs 📉 -95.5%) vs baseline: +1.0%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ stringio_aspect

Time: ✅ 1.588µs (SLO: <10.000µs 📉 -84.1%) vs baseline: +3.1%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ stringio_noaspect

Time: ✅ 0.720µs (SLO: <10.000µs 📉 -92.8%) vs baseline: +0.9%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ strip_aspect

Time: ✅ 2.194µs (SLO: <20.000µs 📉 -89.0%) vs baseline: -0.8%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ strip_noaspect

Time: ✅ 0.387µs (SLO: <10.000µs 📉 -96.1%) vs baseline: +0.1%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ swapcase_aspect

Time: ✅ 2.392µs (SLO: <10.000µs 📉 -76.1%) vs baseline: -0.4%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ swapcase_noaspect

Time: ✅ 0.528µs (SLO: <10.000µs 📉 -94.7%) vs baseline: -1.2%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ title_aspect

Time: ✅ 2.332µs (SLO: <10.000µs 📉 -76.7%) vs baseline: -0.7%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ title_noaspect

Time: ✅ 0.499µs (SLO: <10.000µs 📉 -95.0%) vs baseline: -0.1%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ translate_aspect

Time: ✅ 3.245µs (SLO: <10.000µs 📉 -67.6%) vs baseline: +0.4%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ translate_noaspect

Time: ✅ 1.045µs (SLO: <10.000µs 📉 -89.6%) vs baseline: +0.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.7%

✅ upper_aspect

Time: ✅ 2.189µs (SLO: <10.000µs 📉 -78.1%) vs baseline: -0.3%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ upper_noaspect

Time: ✅ 0.373µs (SLO: <10.000µs 📉 -96.3%) vs baseline: +1.1%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

🟡 Near SLO Breach (5 suites)

🟡 djangosimple - 30/30

✅ appsec

Time: ✅ 20.451ms (SLO: <22.300ms -8.3%) vs baseline: ~same

Memory: ✅ 66.303MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.5%

✅ exception-replay-enabled

Time: ✅ 1.338ms (SLO: <1.450ms -7.7%) vs baseline: -0.3%

Memory: ✅ 64.580MB (SLO: <67.000MB -3.6%) vs baseline: +4.8%

✅ iast

Time: ✅ 20.451ms (SLO: <22.250ms -8.1%) vs baseline: -0.2%

Memory: ✅ 66.362MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.8%

✅ profiler

Time: ✅ 15.500ms (SLO: <16.550ms -6.3%) vs baseline: +0.2%

Memory: ✅ 54.068MB (SLO: <54.500MB 🟡 -0.8%) vs baseline: +5.0%

✅ resource-renaming

Time: ✅ 20.578ms (SLO: <21.750ms -5.4%) vs baseline: +0.2%

Memory: ✅ 66.343MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.7%

✅ span-code-origin

Time: ✅ 25.466ms (SLO: <28.200ms -9.7%) vs baseline: +0.2%

Memory: ✅ 67.496MB (SLO: <69.500MB -2.9%) vs baseline: +4.8%

✅ tracer

Time: ✅ 20.486ms (SLO: <21.750ms -5.8%) vs baseline: ~same

Memory: ✅ 66.283MB (SLO: <67.000MB 🟡 -1.1%) vs baseline: +4.6%

✅ tracer-and-profiler

Time: ✅ 22.583ms (SLO: <23.500ms -3.9%) vs baseline: -0.4%

Memory: ✅ 67.761MB (SLO: <68.000MB 🟡 -0.4%) vs baseline: +4.6%

✅ tracer-dont-create-db-spans

Time: ✅ 19.318ms (SLO: <21.500ms 📉 -10.2%) vs baseline: -0.3%

Memory: ✅ 66.375MB (SLO: <67.000MB 🟡 -0.9%) vs baseline: +4.7%

✅ tracer-minimal

Time: ✅ 16.591ms (SLO: <17.500ms -5.2%) vs baseline: -0.3%

Memory: ✅ 66.315MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.7%

✅ tracer-native

Time: ✅ 20.438ms (SLO: <21.750ms -6.0%) vs baseline: ~same

Memory: ✅ 72.273MB (SLO: <72.500MB 🟡 -0.3%) vs baseline: +4.8%

✅ tracer-no-caches

Time: ✅ 18.454ms (SLO: <19.650ms -6.1%) vs baseline: -0.1%

Memory: ✅ 66.336MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.6%

✅ tracer-no-databases

Time: ✅ 18.800ms (SLO: <20.100ms -6.5%) vs baseline: +0.2%

Memory: ✅ 66.297MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.7%

✅ tracer-no-middleware

Time: ✅ 20.142ms (SLO: <21.500ms -6.3%) vs baseline: -0.4%

Memory: ✅ 66.379MB (SLO: <67.000MB 🟡 -0.9%) vs baseline: +4.9%

✅ tracer-no-templates

Time: ✅ 20.261ms (SLO: <22.000ms -7.9%) vs baseline: -0.4%

Memory: ✅ 66.305MB (SLO: <67.000MB 🟡 -1.0%) vs baseline: +4.6%

🟡 errortrackingdjangosimple - 6/6

✅ errortracking-enabled-all

Time: ✅ 18.073ms (SLO: <19.850ms -9.0%) vs baseline: -0.3%

Memory: ✅ 66.339MB (SLO: <66.500MB 🟡 -0.2%) vs baseline: +4.7%

✅ errortracking-enabled-user

Time: ✅ 18.093ms (SLO: <19.400ms -6.7%) vs baseline: -0.1%

Memory: ✅ 66.370MB (SLO: <66.500MB 🟡 -0.2%) vs baseline: +4.7%

✅ tracer-enabled

Time: ✅ 18.076ms (SLO: <19.450ms -7.1%) vs baseline: ~same

Memory: ✅ 66.309MB (SLO: <66.500MB 🟡 -0.3%) vs baseline: +4.8%

🟡 errortrackingflasksqli - 6/6

✅ errortracking-enabled-all

Time: ✅ 2.076ms (SLO: <2.300ms -9.7%) vs baseline: ~same

Memory: ✅ 52.670MB (SLO: <53.500MB 🟡 -1.6%) vs baseline: +4.3%

✅ errortracking-enabled-user

Time: ✅ 2.071ms (SLO: <2.250ms -8.0%) vs baseline: -0.2%

Memory: ✅ 52.704MB (SLO: <53.500MB 🟡 -1.5%) vs baseline: +4.4%

✅ tracer-enabled

Time: ✅ 2.072ms (SLO: <2.300ms -9.9%) vs baseline: -0.5%

Memory: ✅ 52.777MB (SLO: <53.500MB 🟡 -1.4%) vs baseline: +4.8%

🟡 flasksimple - 18/18

✅ appsec-get

Time: ✅ 4.573ms (SLO: <4.750ms -3.7%) vs baseline: -0.1%

Memory: ✅ 62.725MB (SLO: <65.000MB -3.5%) vs baseline: +4.9%

✅ appsec-post

Time: ✅ 6.627ms (SLO: <6.750ms 🟡 -1.8%) vs baseline: +0.3%

Memory: ✅ 62.803MB (SLO: <65.000MB -3.4%) vs baseline: +4.8%

✅ appsec-telemetry

Time: ✅ 4.584ms (SLO: <4.750ms -3.5%) vs baseline: -0.1%

Memory: ✅ 62.797MB (SLO: <65.000MB -3.4%) vs baseline: +5.0%

✅ debugger

Time: ✅ 1.861ms (SLO: <2.000ms -6.9%) vs baseline: +0.5%

Memory: ✅ 45.436MB (SLO: <47.000MB -3.3%) vs baseline: +5.2%

✅ iast-get

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

Memory: ✅ 42.287MB (SLO: <49.000MB 📉 -13.7%) vs baseline: +4.6%

✅ profiler

Time: ✅ 1.918ms (SLO: <2.100ms -8.7%) vs baseline: +0.3%

Memory: ✅ 46.834MB (SLO: <47.000MB 🟡 -0.4%) vs baseline: +5.3%

✅ resource-renaming

Time: ✅ 3.365ms (SLO: <3.650ms -7.8%) vs baseline: -0.6%

Memory: ✅ 53.048MB (SLO: <53.500MB 🟡 -0.8%) vs baseline: +4.9%

✅ tracer

Time: ✅ 3.362ms (SLO: <3.650ms -7.9%) vs baseline: ~same

Memory: ✅ 53.045MB (SLO: <53.500MB 🟡 -0.8%) vs baseline: +4.9%

✅ tracer-native

Time: ✅ 3.364ms (SLO: <3.650ms -7.8%) vs baseline: ~same

Memory: ✅ 58.766MB (SLO: <60.000MB -2.1%) vs baseline: +4.5%

🟡 flasksqli - 6/6

✅ appsec-enabled

Time: ✅ 3.956ms (SLO: <4.200ms -5.8%) vs baseline: ~same

Memory: ✅ 62.786MB (SLO: <66.000MB -4.9%) vs baseline: +4.8%

✅ iast-enabled

Time: ✅ 2.439ms (SLO: <2.800ms 📉 -12.9%) vs baseline: +0.4%

Memory: ✅ 59.714MB (SLO: <60.000MB 🟡 -0.5%) vs baseline: +5.2%

✅ tracer-enabled

Time: ✅ 2.065ms (SLO: <2.250ms -8.2%) vs baseline: +0.3%

Memory: ✅ 53.014MB (SLO: <54.500MB -2.7%) vs baseline: +5.1%

📉 Performance Improvements (2 suites)

📉 httppropagationextract - 60/60

✅ all_styles_all_headers

Time: ✅ 76.780µs (SLO: <100.000µs 📉 -23.2%) vs baseline: -5.0%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ b3_headers

Time: ✅ 12.944µs (SLO: <20.000µs 📉 -35.3%) vs baseline: -8.7%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ b3_single_headers

Time: ✅ 12.579µs (SLO: <20.000µs 📉 -37.1%) vs baseline: -5.2%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ datadog_tracecontext_tracestate_not_propagated_on_trace_id_no_match

Time: ✅ 61.627µs (SLO: <80.000µs 📉 -23.0%) vs baseline: -3.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ datadog_tracecontext_tracestate_propagated_on_trace_id_match

Time: ✅ 63.332µs (SLO: <80.000µs 📉 -20.8%) vs baseline: -3.8%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ empty_headers

Time: ✅ 1.291µs (SLO: <10.000µs 📉 -87.1%) vs baseline: 📉 -19.2%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ full_t_id_datadog_headers

Time: ✅ 21.162µs (SLO: <30.000µs 📉 -29.5%) vs baseline: -8.2%

Memory: ✅ 32.126MB (SLO: <33.500MB -4.1%) vs baseline: +4.6%

✅ invalid_priority_header

Time: ✅ 5.921µs (SLO: <10.000µs 📉 -40.8%) vs baseline: -8.6%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ invalid_span_id_header

Time: ✅ 5.914µs (SLO: <10.000µs 📉 -40.9%) vs baseline: -8.8%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +5.0%

✅ invalid_tags_header

Time: ✅ 5.956µs (SLO: <10.000µs 📉 -40.4%) vs baseline: -8.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ invalid_trace_id_header

Time: ✅ 5.961µs (SLO: <10.000µs 📉 -40.4%) vs baseline: -8.0%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ large_header_no_matches

Time: ✅ 27.452µs (SLO: <30.000µs -8.5%) vs baseline: -1.8%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ large_valid_headers_all

Time: ✅ 28.483µs (SLO: <40.000µs 📉 -28.8%) vs baseline: -2.3%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ medium_header_no_matches

Time: ✅ 9.254µs (SLO: <20.000µs 📉 -53.7%) vs baseline: -6.0%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ medium_valid_headers_all

Time: ✅ 10.601µs (SLO: <20.000µs 📉 -47.0%) vs baseline: -5.1%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ none_propagation_style

Time: ✅ 1.390µs (SLO: <10.000µs 📉 -86.1%) vs baseline: 📉 -18.9%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ tracecontext_headers

Time: ✅ 32.537µs (SLO: <40.000µs 📉 -18.7%) vs baseline: -5.6%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ valid_headers_all

Time: ✅ 5.939µs (SLO: <10.000µs 📉 -40.6%) vs baseline: -9.3%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ valid_headers_basic

Time: ✅ 5.460µs (SLO: <10.000µs 📉 -45.4%) vs baseline: -10.0%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ wsgi_empty_headers

Time: ✅ 1.299µs (SLO: <10.000µs 📉 -87.0%) vs baseline: 📉 -18.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_invalid_priority_header

Time: ✅ 5.980µs (SLO: <10.000µs 📉 -40.2%) vs baseline: -9.5%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ wsgi_invalid_span_id_header

Time: ✅ 1.298µs (SLO: <10.000µs 📉 -87.0%) vs baseline: 📉 -18.3%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ wsgi_invalid_tags_header

Time: ✅ 5.929µs (SLO: <10.000µs 📉 -40.7%) vs baseline: -9.4%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.8%

✅ wsgi_invalid_trace_id_header

Time: ✅ 5.980µs (SLO: <10.000µs 📉 -40.2%) vs baseline: -8.5%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.9%

✅ wsgi_large_header_no_matches

Time: ✅ 28.493µs (SLO: <40.000µs 📉 -28.8%) vs baseline: -2.0%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_large_valid_headers_all

Time: ✅ 29.828µs (SLO: <40.000µs 📉 -25.4%) vs baseline: -1.2%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_medium_header_no_matches

Time: ✅ 9.511µs (SLO: <20.000µs 📉 -52.4%) vs baseline: -5.4%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_medium_valid_headers_all

Time: ✅ 10.891µs (SLO: <20.000µs 📉 -45.5%) vs baseline: -5.4%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ wsgi_valid_headers_all

Time: ✅ 5.989µs (SLO: <10.000µs 📉 -40.1%) vs baseline: -7.9%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ wsgi_valid_headers_basic

Time: ✅ 5.527µs (SLO: <10.000µs 📉 -44.7%) vs baseline: -9.5%

Memory: ✅ 32.224MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

📉 telemetryaddmetric - 30/30

✅ 1-count-metric-1-times

Time: ✅ 2.073µs (SLO: <20.000µs 📉 -89.6%) vs baseline: 📉 -29.8%

Memory: ✅ 32.224MB (SLO: <34.000MB -5.2%) vs baseline: +4.8%

✅ 1-count-metrics-100-times

Time: ✅ 150.766µs (SLO: <220.000µs 📉 -31.5%) vs baseline: 📉 -25.5%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.7%

✅ 1-distribution-metric-1-times

Time: ✅ 2.404µs (SLO: <20.000µs 📉 -88.0%) vs baseline: 📉 -27.1%

Memory: ✅ 32.224MB (SLO: <34.000MB -5.2%) vs baseline: +5.0%

✅ 1-distribution-metrics-100-times

Time: ✅ 165.981µs (SLO: <220.000µs 📉 -24.6%) vs baseline: 📉 -23.0%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 1-gauge-metric-1-times

Time: ✅ 1.995µs (SLO: <20.000µs 📉 -90.0%) vs baseline: -8.0%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 1-gauge-metrics-100-times

Time: ✅ 141.129µs (SLO: <150.000µs -5.9%) vs baseline: +3.6%

Memory: ✅ 32.244MB (SLO: <34.000MB -5.2%) vs baseline: +5.0%

✅ 1-rate-metric-1-times

Time: ✅ 2.269µs (SLO: <20.000µs 📉 -88.7%) vs baseline: 📉 -27.1%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 1-rate-metrics-100-times

Time: ✅ 166.475µs (SLO: <250.000µs 📉 -33.4%) vs baseline: 📉 -22.8%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 100-count-metrics-100-times

Time: ✅ 15.153ms (SLO: <22.000ms 📉 -31.1%) vs baseline: 📉 -24.3%

Memory: ✅ 32.185MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 100-distribution-metrics-100-times

Time: ✅ 1.752ms (SLO: <2.300ms 📉 -23.8%) vs baseline: 📉 -21.7%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.7%

✅ 100-gauge-metrics-100-times

Time: ✅ 1.440ms (SLO: <1.550ms -7.1%) vs baseline: +3.4%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +4.9%

✅ 100-rate-metrics-100-times

Time: ✅ 1.722ms (SLO: <2.550ms 📉 -32.5%) vs baseline: 📉 -20.4%

Memory: ✅ 32.185MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ flush-1-metric

Time: ✅ 3.654µs (SLO: <20.000µs 📉 -81.7%) vs baseline: 📉 -22.0%

Memory: ✅ 32.185MB (SLO: <34.000MB -5.3%) vs baseline: +4.8%

✅ flush-100-metrics

Time: ✅ 173.377µs (SLO: <250.000µs 📉 -30.6%) vs baseline: -1.4%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.7%

✅ flush-1000-metrics

Time: ✅ 2.115ms (SLO: <2.500ms 📉 -15.4%) vs baseline: ~same

Memory: ✅ 32.991MB (SLO: <34.500MB -4.4%) vs baseline: +5.0%

⚠️ Unstable Tests (1 suite)

⚠️ coreapiscenario - 10/10 (1 unstable)

⚠️ context_with_data_listeners

Time: ⚠️ 13.278µs (SLO: <20.000µs 📉 -33.6%) vs baseline: ~same

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.5%

✅ context_with_data_no_listeners

Time: ✅ 3.267µs (SLO: <10.000µs 📉 -67.3%) vs baseline: -0.4%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +5.0%

✅ get_item_exists

Time: ✅ 0.582µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.9%

Memory: ✅ 32.185MB (SLO: <33.500MB -3.9%) vs baseline: +5.0%

✅ get_item_missing

Time: ✅ 0.634µs (SLO: <10.000µs 📉 -93.7%) vs baseline: -0.2%

Memory: ✅ 32.165MB (SLO: <33.500MB -4.0%) vs baseline: +4.7%

✅ set_item

Time: ✅ 23.907µs (SLO: <30.000µs 📉 -20.3%) vs baseline: ~same

Memory: ✅ 32.145MB (SLO: <33.500MB -4.0%) vs baseline: +4.6%

✅ All Tests Passing (15 suites)

✅ httppropagationinject - 16/16

✅ ids_only

Time: ✅ 20.202µs (SLO: <30.000µs 📉 -32.7%) vs baseline: -6.7%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.7%

✅ with_all

Time: ✅ 27.423µs (SLO: <40.000µs 📉 -31.4%) vs baseline: -5.0%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +5.0%

✅ with_dd_origin

Time: ✅ 24.109µs (SLO: <30.000µs 📉 -19.6%) vs baseline: -4.4%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ with_priority_and_origin

Time: ✅ 23.354µs (SLO: <40.000µs 📉 -41.6%) vs baseline: -5.7%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ with_sampling_priority

Time: ✅ 20.508µs (SLO: <30.000µs 📉 -31.6%) vs baseline: -4.9%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ with_tags

Time: ✅ 25.611µs (SLO: <40.000µs 📉 -36.0%) vs baseline: -5.6%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ with_tags_invalid

Time: ✅ 27.227µs (SLO: <40.000µs 📉 -31.9%) vs baseline: -4.1%

Memory: ✅ 32.244MB (SLO: <33.500MB -3.8%) vs baseline: +4.9%

✅ with_tags_max_size

Time: ✅ 26.117µs (SLO: <40.000µs 📉 -34.7%) vs baseline: -5.1%

Memory: ✅ 32.204MB (SLO: <33.500MB -3.9%) vs baseline: +4.8%

✅ iast_aspects - 40/40

✅ re_expand_aspect

Time: ✅ 33.952µs (SLO: <40.000µs 📉 -15.1%) vs baseline: +5.9%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ re_expand_noaspect

Time: ✅ 30.278µs (SLO: <40.000µs 📉 -24.3%) vs baseline: +6.3%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ re_findall_aspect

Time: ✅ 2.898µs (SLO: <10.000µs 📉 -71.0%) vs baseline: ~same

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ re_findall_noaspect

Time: ✅ 1.420µs (SLO: <10.000µs 📉 -85.8%) vs baseline: +0.3%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ re_finditer_aspect

Time: ✅ 4.684µs (SLO: <10.000µs 📉 -53.2%) vs baseline: +6.0%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ re_finditer_noaspect

Time: ✅ 1.394µs (SLO: <10.000µs 📉 -86.1%) vs baseline: -0.8%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ re_fullmatch_aspect

Time: ✅ 2.705µs (SLO: <10.000µs 📉 -73.0%) vs baseline: +1.3%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.1%

✅ re_fullmatch_noaspect

Time: ✅ 1.301µs (SLO: <10.000µs 📉 -87.0%) vs baseline: -0.8%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ re_group_aspect

Time: ✅ 2.939µs (SLO: <10.000µs 📉 -70.6%) vs baseline: +0.8%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ re_group_noaspect

Time: ✅ 1.628µs (SLO: <10.000µs 📉 -83.7%) vs baseline: -0.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ re_groups_aspect

Time: ✅ 3.355µs (SLO: <10.000µs 📉 -66.4%) vs baseline: +9.5%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ re_groups_noaspect

Time: ✅ 1.697µs (SLO: <10.000µs 📉 -83.0%) vs baseline: +0.4%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ re_match_aspect

Time: ✅ 2.953µs (SLO: <10.000µs 📉 -70.5%) vs baseline: +9.4%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ re_match_noaspect

Time: ✅ 1.311µs (SLO: <10.000µs 📉 -86.9%) vs baseline: +0.4%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ re_search_aspect

Time: ✅ 2.727µs (SLO: <10.000µs 📉 -72.7%) vs baseline: +8.2%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +5.0%

✅ re_search_noaspect

Time: ✅ 1.198µs (SLO: <10.000µs 📉 -88.0%) vs baseline: ~same

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ re_sub_aspect

Time: ✅ 3.576µs (SLO: <10.000µs 📉 -64.2%) vs baseline: +6.3%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ re_sub_noaspect

Time: ✅ 1.560µs (SLO: <10.000µs 📉 -84.4%) vs baseline: +2.5%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ re_subn_aspect

Time: ✅ 3.739µs (SLO: <10.000µs 📉 -62.6%) vs baseline: +1.8%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ re_subn_noaspect

Time: ✅ 1.623µs (SLO: <10.000µs 📉 -83.8%) vs baseline: +1.6%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ iastaspectsospath - 24/24

✅ ospathbasename_aspect

Time: ✅ 4.217µs (SLO: <10.000µs 📉 -57.8%) vs baseline: +0.2%

Memory: ✅ 38.024MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ ospathbasename_noaspect

Time: ✅ 1.085µs (SLO: <10.000µs 📉 -89.1%) vs baseline: +0.6%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ ospathjoin_aspect

Time: ✅ 6.170µs (SLO: <10.000µs 📉 -38.3%) vs baseline: +1.0%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ ospathjoin_noaspect

Time: ✅ 2.297µs (SLO: <10.000µs 📉 -77.0%) vs baseline: -0.1%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.6%

✅ ospathnormcase_aspect

Time: ✅ 3.471µs (SLO: <10.000µs 📉 -65.3%) vs baseline: +0.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ ospathnormcase_noaspect

Time: ✅ 0.569µs (SLO: <10.000µs 📉 -94.3%) vs baseline: -0.8%

Memory: ✅ 38.044MB (SLO: <39.000MB -2.5%) vs baseline: +4.7%

✅ ospathsplit_aspect

Time: ✅ 4.799µs (SLO: <10.000µs 📉 -52.0%) vs baseline: +0.8%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ ospathsplit_noaspect

Time: ✅ 1.600µs (SLO: <10.000µs 📉 -84.0%) vs baseline: +0.9%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.1%

✅ ospathsplitdrive_aspect

Time: ✅ 3.698µs (SLO: <10.000µs 📉 -63.0%) vs baseline: +0.9%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.7%

✅ ospathsplitdrive_noaspect

Time: ✅ 0.699µs (SLO: <10.000µs 📉 -93.0%) vs baseline: +0.3%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ ospathsplitext_aspect

Time: ✅ 4.576µs (SLO: <10.000µs 📉 -54.2%) vs baseline: +0.5%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ ospathsplitext_noaspect

Time: ✅ 1.391µs (SLO: <10.000µs 📉 -86.1%) vs baseline: -0.5%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ iastaspectssplit - 12/12

✅ rsplit_aspect

Time: ✅ 1.450µs (SLO: <10.000µs 📉 -85.5%) vs baseline: -0.6%

Memory: ✅ 38.103MB (SLO: <39.000MB -2.3%) vs baseline: +4.9%

✅ rsplit_noaspect

Time: ✅ 0.581µs (SLO: <10.000µs 📉 -94.2%) vs baseline: -0.4%

Memory: ✅ 38.122MB (SLO: <39.000MB -2.3%) vs baseline: +5.0%

✅ split_aspect

Time: ✅ 1.416µs (SLO: <10.000µs 📉 -85.8%) vs baseline: +0.2%

Memory: ✅ 38.142MB (SLO: <39.000MB -2.2%) vs baseline: +5.0%

✅ split_noaspect

Time: ✅ 0.576µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.5%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.9%

✅ splitlines_aspect

Time: ✅ 1.372µs (SLO: <10.000µs 📉 -86.3%) vs baseline: +0.4%

Memory: ✅ 38.063MB (SLO: <39.000MB -2.4%) vs baseline: +4.7%

✅ splitlines_noaspect

Time: ✅ 0.585µs (SLO: <10.000µs 📉 -94.2%) vs baseline: +0.5%

Memory: ✅ 38.083MB (SLO: <39.000MB -2.4%) vs baseline: +4.8%

✅ iastpropagation - 2/2

✅ no-propagation

Time: ✅ 48.202µs (SLO: <60.000µs 📉 -19.7%) vs baseline: -1.4%

Memory: ✅ 37.749MB (SLO: <39.000MB -3.2%) vs baseline: +4.9%

✅ otelsdkspan - 24/24

✅ add-event

Time: ✅ 40.961ms (SLO: <42.000ms -2.5%) vs baseline: +1.3%

Memory: ✅ 34.957MB (SLO: <39.000MB 📉 -10.4%) vs baseline: +5.0%

✅ add-link

Time: ✅ 36.332ms (SLO: <38.550ms -5.8%) vs baseline: ~same

Memory: ✅ 34.937MB (SLO: <39.000MB 📉 -10.4%) vs baseline: +5.7%

✅ add-metrics

Time: ✅ 219.766ms (SLO: <232.000ms -5.3%) vs baseline: +0.3%

Memory: ✅ 34.918MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +6.1%

✅ add-tags

Time: ✅ 212.674ms (SLO: <221.600ms -4.0%) vs baseline: +1.1%

Memory: ✅ 34.957MB (SLO: <39.000MB 📉 -10.4%) vs baseline: +6.1%

✅ get-context

Time: ✅ 29.508ms (SLO: <31.300ms -5.7%) vs baseline: +1.2%

Memory: ✅ 34.583MB (SLO: <39.000MB 📉 -11.3%) vs baseline: +5.0%

✅ is-recording

Time: ✅ 29.160ms (SLO: <31.000ms -5.9%) vs baseline: ~same

Memory: ✅ 34.918MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +6.1%

✅ record-exception

Time: ✅ 64.451ms (SLO: <65.850ms -2.1%) vs baseline: +2.0%

Memory: ✅ 34.977MB (SLO: <39.000MB 📉 -10.3%) vs baseline: +5.9%

✅ set-status

Time: ✅ 31.922ms (SLO: <34.150ms -6.5%) vs baseline: -0.7%

Memory: ✅ 34.878MB (SLO: <39.000MB 📉 -10.6%) vs baseline: +6.1%

✅ start

Time: ✅ 28.773ms (SLO: <30.150ms -4.6%) vs baseline: ~same

Memory: ✅ 34.898MB (SLO: <39.000MB 📉 -10.5%) vs baseline: +5.8%

✅ start-finish

Time: ✅ 33.803ms (SLO: <35.350ms -4.4%) vs baseline: -0.4%

Memory: ✅ 34.937MB (SLO: <39.000MB 📉 -10.4%) vs baseline: +5.9%

✅ start-finish-telemetry

Time: ✅ 33.807ms (SLO: <35.450ms -4.6%) vs baseline: -0.5%

Memory: ✅ 34.957MB (SLO: <39.000MB 📉 -10.4%) vs baseline: +5.7%

✅ update-name

Time: ✅ 30.975ms (SLO: <33.400ms -7.3%) vs baseline: -0.2%

Memory: ✅ 34.839MB (SLO: <39.000MB 📉 -10.7%) vs baseline: +5.8%

✅ otelspan - 22/22

✅ add-event

Time: ✅ 39.608ms (SLO: <47.150ms 📉 -16.0%) vs baseline: -1.5%

Memory: ✅ 43.737MB (SLO: <47.000MB -6.9%) vs baseline: +4.8%

✅ add-metrics

Time: ✅ 316.646ms (SLO: <344.800ms -8.2%) vs baseline: -0.8%

Memory: ✅ 652.210MB (SLO: <675.000MB -3.4%) vs baseline: +4.9%

✅ add-tags

Time: ✅ 286.040ms (SLO: <314.000ms -8.9%) vs baseline: -0.2%

Memory: ✅ 652.591MB (SLO: <675.000MB -3.3%) vs baseline: +4.9%

✅ get-context

Time: ✅ 81.792ms (SLO: <92.350ms 📉 -11.4%) vs baseline: +2.0%

Memory: ✅ 39.685MB (SLO: <46.500MB 📉 -14.7%) vs baseline: +5.0%

✅ is-recording

Time: ✅ 37.976ms (SLO: <44.500ms 📉 -14.7%) vs baseline: ~same

Memory: ✅ 43.210MB (SLO: <47.500MB -9.0%) vs baseline: +5.0%

✅ record-exception

Time: ✅ 57.650ms (SLO: <67.650ms 📉 -14.8%) vs baseline: -0.9%

Memory: ✅ 39.939MB (SLO: <47.000MB 📉 -15.0%) vs baseline: +5.0%

✅ set-status

Time: ✅ 43.301ms (SLO: <50.400ms 📉 -14.1%) vs baseline: -1.2%

Memory: ✅ 43.173MB (SLO: <47.000MB -8.1%) vs baseline: +4.8%

✅ start

Time: ✅ 36.783ms (SLO: <43.450ms 📉 -15.3%) vs baseline: -1.3%

Memory: ✅ 43.201MB (SLO: <47.000MB -8.1%) vs baseline: +5.2%

✅ start-finish

Time: ✅ 81.163ms (SLO: <88.000ms -7.8%) vs baseline: -0.5%

Memory: ✅ 34.544MB (SLO: <46.500MB 📉 -25.7%) vs baseline: +4.7%

✅ start-finish-telemetry

Time: ✅ 82.667ms (SLO: <89.000ms -7.1%) vs baseline: -0.6%

Memory: ✅ 34.583MB (SLO: <46.500MB 📉 -25.6%) vs baseline: +5.0%

✅ update-name

Time: ✅ 38.339ms (SLO: <45.150ms 📉 -15.1%) vs baseline: -1.0%

Memory: ✅ 43.522MB (SLO: <47.000MB -7.4%) vs baseline: +5.0%

✅ packagespackageforrootmodulemapping - 4/4

✅ cache_off

Time: ✅ 338.061ms (SLO: <354.300ms -4.6%) vs baseline: -0.6%

Memory: ✅ 38.245MB (SLO: <40.000MB -4.4%) vs baseline: +6.1%

✅ cache_on

Time: ✅ 0.387µs (SLO: <10.000µs 📉 -96.1%) vs baseline: +1.6%

Memory: ✅ 36.982MB (SLO: <39.000MB -5.2%) vs baseline: +6.2%

✅ packagesupdateimporteddependencies - 24/24

✅ import_many

Time: ✅ 154.522µs (SLO: <170.000µs -9.1%) vs baseline: -0.5%

Memory: ✅ 37.181MB (SLO: <38.500MB -3.4%) vs baseline: +5.0%

✅ import_many_cached

Time: ✅ 121.670µs (SLO: <130.000µs -6.4%) vs baseline: +0.4%

Memory: ✅ 37.080MB (SLO: <38.500MB -3.7%) vs baseline: +4.6%

✅ import_many_stdlib

Time: ✅ 1.620ms (SLO: <1.750ms -7.4%) vs baseline: -1.1%

Memory: ✅ 37.294MB (SLO: <38.500MB -3.1%) vs baseline: +5.1%

✅ import_many_stdlib_cached

Time: ✅ 0.981ms (SLO: <1.100ms 📉 -10.8%) vs baseline: +0.6%

Memory: ✅ 37.243MB (SLO: <38.500MB -3.3%) vs baseline: +4.6%

✅ import_many_unknown

Time: ✅ 829.872µs (SLO: <890.000µs -6.8%) vs baseline: -1.0%

Memory: ✅ 37.423MB (SLO: <38.500MB -2.8%) vs baseline: +5.0%

✅ import_many_unknown_cached

Time: ✅ 788.292µs (SLO: <870.000µs -9.4%) vs baseline: ~same

Memory: ✅ 37.297MB (SLO: <38.500MB -3.1%) vs baseline: +5.0%

✅ import_one

Time: ✅ 19.790µs (SLO: <30.000µs 📉 -34.0%) vs baseline: ~same

Memory: ✅ 37.177MB (SLO: <39.000MB -4.7%) vs baseline: +5.3%

✅ import_one_cache

Time: ✅ 6.281µs (SLO: <10.000µs 📉 -37.2%) vs baseline: -0.7%

Memory: ✅ 37.164MB (SLO: <38.500MB -3.5%) vs baseline: +4.9%

✅ import_one_stdlib

Time: ✅ 18.892µs (SLO: <20.000µs -5.5%) vs baseline: +0.3%

Memory: ✅ 37.143MB (SLO: <38.500MB -3.5%) vs baseline: +5.1%

✅ import_one_stdlib_cache

Time: ✅ 6.295µs (SLO: <10.000µs 📉 -37.1%) vs baseline: +0.6%

Memory: ✅ 37.075MB (SLO: <38.500MB -3.7%) vs baseline: +4.7%

✅ import_one_unknown

Time: ✅ 45.328µs (SLO: <50.000µs -9.3%) vs baseline: +0.3%

Memory: ✅ 37.166MB (SLO: <38.500MB -3.5%) vs baseline: +5.0%

✅ import_one_unknown_cache

Time: ✅ 6.265µs (SLO: <10.000µs 📉 -37.3%) vs baseline: -0.5%

Memory: ✅ 37.071MB (SLO: <38.500MB -3.7%) vs baseline: +4.6%

✅ ratelimiter - 12/12

✅ defaults

Time: ✅ 2.343µs (SLO: <10.000µs 📉 -76.6%) vs baseline: -0.2%

Memory: ✅ 31.811MB (SLO: <34.000MB -6.4%) vs baseline: +5.2%

✅ high_rate_limit

Time: ✅ 2.386µs (SLO: <10.000µs 📉 -76.1%) vs baseline: -1.3%

Memory: ✅ 31.772MB (SLO: <34.000MB -6.6%) vs baseline: +4.7%

✅ long_window

Time: ✅ 2.330µs (SLO: <10.000µs 📉 -76.7%) vs baseline: -1.3%

Memory: ✅ 31.792MB (SLO: <34.000MB -6.5%) vs baseline: +5.0%

✅ low_rate_limit

Time: ✅ 2.354µs (SLO: <10.000µs 📉 -76.5%) vs baseline: -0.6%

Memory: ✅ 31.792MB (SLO: <34.000MB -6.5%) vs baseline: +4.9%

✅ no_rate_limit

Time: ✅ 0.826µs (SLO: <10.000µs 📉 -91.7%) vs baseline: -0.2%

Memory: ✅ 31.733MB (SLO: <34.000MB -6.7%) vs baseline: +4.5%

✅ short_window

Time: ✅ 2.482µs (SLO: <10.000µs 📉 -75.2%) vs baseline: -0.4%

Memory: ✅ 31.752MB (SLO: <34.000MB -6.6%) vs baseline: +4.7%

✅ recursivecomputation - 8/8

✅ deep

Time: ✅ 308.650ms (SLO: <320.950ms -3.8%) vs baseline: ~same

Memory: ✅ 32.912MB (SLO: <34.500MB -4.6%) vs baseline: +4.7%

✅ deep-profiled

Time: ✅ 327.543ms (SLO: <359.150ms -8.8%) vs baseline: -0.1%

Memory: ✅ 37.556MB (SLO: <39.000MB -3.7%) vs baseline: +5.7%

✅ medium

Time: ✅ 7.038ms (SLO: <7.400ms -4.9%) vs baseline: ~same

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.8%

✅ shallow

Time: ✅ 0.947ms (SLO: <1.050ms -9.8%) vs baseline: -0.2%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ samplingrules - 8/8

✅ average_match

Time: ✅ 136.580µs (SLO: <290.000µs 📉 -52.9%) vs baseline: -1.1%

Memory: ✅ 32.224MB (SLO: <34.000MB -5.2%) vs baseline: +5.2%

✅ high_match

Time: ✅ 172.742µs (SLO: <480.000µs 📉 -64.0%) vs baseline: -1.0%

Memory: ✅ 32.165MB (SLO: <34.000MB -5.4%) vs baseline: +4.8%

✅ low_match

Time: ✅ 98.620µs (SLO: <120.000µs 📉 -17.8%) vs baseline: -0.9%

Memory: ✅ 600.918MB (SLO: <700.000MB 📉 -14.2%) vs baseline: +4.9%

✅ very_low_match

Time: ✅ 2.654ms (SLO: <8.500ms 📉 -68.8%) vs baseline: -0.9%

Memory: ✅ 68.354MB (SLO: <75.000MB -8.9%) vs baseline: +4.9%

✅ sethttpmeta - 32/32

✅ all-disabled

Time: ✅ 10.520µs (SLO: <20.000µs 📉 -47.4%) vs baseline: +0.4%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ all-enabled

Time: ✅ 40.136µs (SLO: <50.000µs 📉 -19.7%) vs baseline: +0.2%

Memory: ✅ 32.558MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ collectipvariant_exists

Time: ✅ 41.605µs (SLO: <50.000µs 📉 -16.8%) vs baseline: +1.9%

Memory: ✅ 32.539MB (SLO: <34.000MB -4.3%) vs baseline: +4.7%

✅ no-collectipvariant

Time: ✅ 40.232µs (SLO: <50.000µs 📉 -19.5%) vs baseline: +0.5%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.7%

✅ no-useragentvariant

Time: ✅ 38.900µs (SLO: <50.000µs 📉 -22.2%) vs baseline: +0.4%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.8%

✅ obfuscation-no-query

Time: ✅ 40.490µs (SLO: <50.000µs 📉 -19.0%) vs baseline: ~same

Memory: ✅ 32.558MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ obfuscation-regular-case-explicit-query

Time: ✅ 76.077µs (SLO: <90.000µs 📉 -15.5%) vs baseline: +0.7%

Memory: ✅ 32.873MB (SLO: <34.000MB -3.3%) vs baseline: +4.4%

✅ obfuscation-regular-case-implicit-query

Time: ✅ 76.300µs (SLO: <90.000µs 📉 -15.2%) vs baseline: -0.3%

Memory: ✅ 32.991MB (SLO: <34.000MB -3.0%) vs baseline: +4.9%

✅ obfuscation-send-querystring-disabled

Time: ✅ 154.524µs (SLO: <170.000µs -9.1%) vs baseline: ~same

Memory: ✅ 32.971MB (SLO: <34.500MB -4.4%) vs baseline: +4.7%

✅ obfuscation-worst-case-explicit-query

Time: ✅ 147.248µs (SLO: <160.000µs -8.0%) vs baseline: -0.3%

Memory: ✅ 32.912MB (SLO: <34.500MB -4.6%) vs baseline: +4.9%

✅ obfuscation-worst-case-implicit-query

Time: ✅ 154.675µs (SLO: <170.000µs -9.0%) vs baseline: ~same

Memory: ✅ 33.010MB (SLO: <34.500MB -4.3%) vs baseline: +5.0%

✅ useragentvariant_exists_1

Time: ✅ 39.498µs (SLO: <50.000µs 📉 -21.0%) vs baseline: +0.3%

Memory: ✅ 32.637MB (SLO: <34.000MB -4.0%) vs baseline: +5.2%

✅ useragentvariant_exists_2

Time: ✅ 41.330µs (SLO: <50.000µs 📉 -17.3%) vs baseline: +1.7%

Memory: ✅ 32.499MB (SLO: <34.000MB -4.4%) vs baseline: +4.5%

✅ useragentvariant_exists_3

Time: ✅ 40.031µs (SLO: <50.000µs 📉 -19.9%) vs baseline: -0.2%

Memory: ✅ 32.558MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ useragentvariant_not_exists_1

Time: ✅ 39.643µs (SLO: <50.000µs 📉 -20.7%) vs baseline: +0.5%

Memory: ✅ 32.539MB (SLO: <34.000MB -4.3%) vs baseline: +4.7%

✅ useragentvariant_not_exists_2

Time: ✅ 39.648µs (SLO: <50.000µs 📉 -20.7%) vs baseline: +0.6%

Memory: ✅ 32.578MB (SLO: <34.000MB -4.2%) vs baseline: +4.9%

✅ span - 26/26

✅ add-event

Time: ✅ 19.623ms (SLO: <22.500ms 📉 -12.8%) vs baseline: -2.6%

Memory: ✅ 48.837MB (SLO: <53.000MB -7.9%) vs baseline: +4.8%

✅ add-metrics

Time: ✅ 89.371ms (SLO: <93.500ms -4.4%) vs baseline: -0.9%

Memory: ✅ 735.531MB (SLO: <961.000MB 📉 -23.5%) vs baseline: +4.8%

✅ add-tags

Time: ✅ 146.894ms (SLO: <155.000ms -5.2%) vs baseline: +0.2%

Memory: ✅ 735.223MB (SLO: <962.500MB 📉 -23.6%) vs baseline: +4.7%

✅ get-context

Time: ✅ 17.772ms (SLO: <20.500ms 📉 -13.3%) vs baseline: -1.9%

Memory: ✅ 47.533MB (SLO: <53.000MB 📉 -10.3%) vs baseline: +4.8%

✅ is-recording

Time: ✅ 18.550ms (SLO: <20.500ms -9.5%) vs baseline: +0.8%

Memory: ✅ 47.448MB (SLO: <53.000MB 📉 -10.5%) vs baseline: +4.4%

✅ record-exception

Time: ✅ 36.858ms (SLO: <40.000ms -7.9%) vs baseline: -1.7%

Memory: ✅ 42.094MB (SLO: <53.000MB 📉 -20.6%) vs baseline: +4.8%

✅ set-status

Time: ✅ 20.090ms (SLO: <22.000ms -8.7%) vs baseline: -0.3%

Memory: ✅ 47.545MB (SLO: <53.000MB 📉 -10.3%) vs baseline: +4.9%

✅ start

Time: ✅ 18.209ms (SLO: <20.500ms 📉 -11.2%) vs baseline: -0.4%

Memory: ✅ 47.575MB (SLO: <53.000MB 📉 -10.2%) vs baseline: +5.0%

✅ start-finish

Time: ✅ 50.100ms (SLO: <52.500ms -4.6%) vs baseline: -0.9%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ start-finish-telemetry

Time: ✅ 52.111ms (SLO: <54.500ms -4.4%) vs baseline: +0.7%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.1%

✅ start-finish-traceid128

Time: ✅ 54.533ms (SLO: <57.000ms -4.3%) vs baseline: +1.6%

Memory: ✅ 32.204MB (SLO: <34.000MB -5.3%) vs baseline: +5.0%

✅ start-traceid128

Time: ✅ 18.137ms (SLO: <22.500ms 📉 -19.4%) vs baseline: -2.7%

Memory: ✅ 47.627MB (SLO: <53.000MB 📉 -10.1%) vs baseline: +4.9%

✅ update-name

Time: ✅ 18.569ms (SLO: <22.000ms 📉 -15.6%) vs baseline: -0.8%

Memory: ✅ 48.283MB (SLO: <53.000MB -8.9%) vs baseline: +4.9%

✅ tracer - 6/6

✅ large

Time: ✅ 28.404ms (SLO: <32.950ms 📉 -13.8%) vs baseline: ~same

Memory: ✅ 33.148MB (SLO: <34.500MB -3.9%) vs baseline: +4.4%

✅ medium

Time: ✅ 2.793ms (SLO: <3.200ms 📉 -12.7%) vs baseline: -0.3%

Memory: ✅ 32.145MB (SLO: <34.000MB -5.5%) vs baseline: +4.7%

✅ small

Time: ✅ 315.015µs (SLO: <370.000µs 📉 -14.9%) vs baseline: -1.6%

Memory: ✅ 32.185MB (SLO: <34.000MB -5.3%) 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

Jul 29 '25 11:07 pr-commenter[bot]

One thing that came up in our recent discussion I want to re-state here: I think we need to make sure that starting and stopping the periodic threads doesn't indefinitely delay the periodic callbacks. Specifically, thinking of something like profiling, where we upload data every 60 seconds. If we exit the thread, then the 60 second timer is restarted when the thread is restarted. And so if a program forks more than once every 60 seconds we will never actually upload a profile from the parent process. I think if we stick to this approach, we probably want a deadline for the periodic thread. And the time the thread sleeps is relative to the time left until the deadline. The deadline wouldn't reset by default when stopping/restarting the thread, only when the callback is called. LMK if that makes sense, I'm happy to sketch it out more.

Aug 12 '25 14:08 nsrip-dd

we need to make sure that starting and stopping the periodic threads doesn't indefinitely delay the periodic callbacks.

does 817730d8796cf406651590daf9a2ffd94050bbf9 work?

Aug 13 '25 09:08 P403n1x87

This is currently blocked by the profiler not adopting the new fork-safe periodic thread to manage the stack v2 sampling.

Oct 13 '25 09:10 P403n1x87

@taegyunkim do we have an issue tracking the blocker?

Oct 23 '25 20:10 tylfin