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chore(ci): include github actions bot email in mergegate config#1728

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gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit intomainfrom
igor/versioning/mergegate-github-actions
Mar 13, 2026
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chore(ci): include github actions bot email in mergegate config#1728
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit intomainfrom
igor/versioning/mergegate-github-actions

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@iunanua iunanua commented Mar 13, 2026

What does this PR do?

include github actions bot email in mergegate config

@iunanua iunanua marked this pull request as ready for review March 13, 2026 17:11
@iunanua iunanua requested a review from a team as a code owner March 13, 2026 17:11
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.49%. Comparing base (0e8c2c6) to head (2c66877).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1728      +/-   ##
==========================================
+ Coverage   71.35%   71.49%   +0.13%     
==========================================
  Files         429      430       +1     
  Lines       63779    63954     +175     
==========================================
+ Hits        45509    45721     +212     
+ Misses      18270    18233      -37     
Components Coverage Δ
libdd-crashtracker 63.90% <ø> (+1.44%) ⬆️
libdd-crashtracker-ffi 17.72% <ø> (+0.08%) ⬆️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 88.32% <ø> (ø)
libdd-data-pipeline-ffi 76.94% <ø> (ø)
libdd-common 79.73% <ø> (ø)
libdd-common-ffi 73.40% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.35% <ø> (ø)
libdd-profiling 81.60% <ø> (+0.03%) ⬆️
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 32.59% <ø> (-0.06%) ⬇️
datdog-sidecar-ffi 8.50% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 91.80% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 89.08% <ø> (ø)
datadog-tracer-flare 88.95% <ø> (ø)
libdd-log 74.69% <ø> (ø)
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Benchmarks

Comparison

Benchmark execution time: 2026-03-13 17:24:11

Comparing candidate commit 2c66877 in PR branch igor/versioning/mergegate-github-actions with baseline commit 892b7bf in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 58 metrics, 2 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

Candidate

Candidate benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
tags/replace_trace_tags execution_time 2.303µs 2.379µs ± 0.020µs 2.381µs ± 0.005µs 2.385µs 2.404µs 2.428µs 2.439µs 2.44% -1.249 4.429 0.84% 0.001µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.376µs; 2.382µs] or [-0.117%; +0.117%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
write only interface execution_time 1.269µs 3.233µs ± 1.435µs 3.004µs ± 0.026µs 3.040µs 3.717µs 14.184µs 14.881µs 395.44% 7.316 54.816 44.28% 0.101µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.034µs; 3.432µs] or [-6.153%; +6.153%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_trace/test_trace execution_time 251.407ns 261.133ns ± 11.797ns 255.843ns ± 2.390ns 261.355ns 291.333ns 296.173ns 299.511ns 17.07% 1.865 2.278 4.51% 0.834ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_trace/test_trace execution_time [259.498ns; 262.768ns] or [-0.626%; +0.626%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time 205.967µs 206.772µs ± 0.439µs 206.730µs ± 0.267µs 207.031µs 207.521µs 207.894µs 209.276µs 1.23% 1.278 4.398 0.21% 0.031µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4778382.494op/s 4836274.466op/s ± 10239.412op/s 4837238.368op/s ± 6258.749op/s 4843252.075op/s 4849550.717op/s 4854738.139op/s 4855142.239op/s 0.37% -1.248 4.214 0.21% 724.036op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.597µs 18.786µs ± 0.145µs 18.778µs ± 0.106µs 18.863µs 19.054µs 19.235µs 19.305µs 2.81% 0.972 0.714 0.77% 0.010µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 51798892.118op/s 53234133.470op/s ± 408763.683op/s 53252438.516op/s ± 301901.794op/s 53594279.946op/s 53697400.505op/s 53761304.183op/s 53772530.348op/s 0.98% -0.932 0.586 0.77% 28903.957op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.791µs 10.878µs ± 0.040µs 10.876µs ± 0.026µs 10.902µs 10.944µs 10.978µs 11.013µs 1.26% 0.376 0.237 0.37% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 90800961.520op/s 91933107.884op/s ± 336518.338op/s 91948053.667op/s ± 217164.197op/s 92149334.324op/s 92454636.463op/s 92617435.259op/s 92671128.557op/s 0.79% -0.353 0.204 0.37% 23795.440op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time [206.711µs; 206.832µs] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4834855.382op/s; 4837693.550op/s] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.766µs; 18.806µs] or [-0.107%; +0.107%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53177482.755op/s; 53290784.185op/s] or [-0.106%; +0.106%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.872µs; 10.883µs] or [-0.051%; +0.051%] None None None
normalization/normalize_name/normalize_name/good throughput [91886469.679op/s; 91979746.089op/s] or [-0.051%; +0.051%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
single_flag_killswitch/rules-based execution_time 189.940ns 192.964ns ± 2.568ns 192.497ns ± 1.492ns 194.083ns 197.909ns 201.736ns 206.674ns 7.36% 1.811 5.132 1.33% 0.182ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
single_flag_killswitch/rules-based execution_time [192.608ns; 193.320ns] or [-0.184%; +0.184%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time 493.286µs 494.309µs ± 0.532µs 494.291µs ± 0.351µs 494.657µs 495.102µs 495.297µs 498.086µs 0.77% 1.819 11.162 0.11% 0.038µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2007685.868op/s 2023027.633op/s ± 2173.585op/s 2023100.208op/s ± 1435.933op/s 2024506.368op/s 2026184.369op/s 2026757.028op/s 2027219.704op/s 0.20% -1.788 10.892 0.11% 153.696op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.216µs 370.761µs ± 0.267µs 370.739µs ± 0.161µs 370.907µs 371.225µs 371.444µs 372.134µs 0.38% 0.937 2.882 0.07% 0.019µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2687205.327op/s 2697159.754op/s ± 1942.342op/s 2697316.153op/s ± 1170.257op/s 2698417.261op/s 2700160.649op/s 2700898.490op/s 2701127.098op/s 0.14% -0.928 2.842 0.07% 137.344op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.211µs 167.563µs ± 0.134µs 167.560µs ± 0.091µs 167.651µs 167.778µs 167.895µs 167.940µs 0.23% 0.169 -0.085 0.08% 0.009µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5954524.878op/s 5967897.462op/s ± 4770.519op/s 5968014.358op/s ± 3244.585op/s 5971242.980op/s 5975349.613op/s 5977827.743op/s 5980465.297op/s 0.21% -0.165 -0.087 0.08% 337.327op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 37.003µs 37.126µs ± 0.049µs 37.126µs ± 0.035µs 37.161µs 37.204µs 37.237µs 37.244µs 0.32% 0.064 -0.428 0.13% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26850263.504op/s 26935649.355op/s ± 35476.763op/s 26935435.841op/s ± 25111.315op/s 26959579.869op/s 26994911.451op/s 27008917.099op/s 27025037.744op/s 0.33% -0.057 -0.429 0.13% 2508.586op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.381µs 45.644µs ± 0.072µs 45.661µs ± 0.045µs 45.699µs 45.746µs 45.767µs 45.817µs 0.34% -0.550 0.120 0.16% 0.005µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21826134.468op/s 21908682.017op/s ± 34810.908op/s 21900709.000op/s ± 21637.061op/s 21931499.894op/s 21969214.443op/s 21996857.324op/s 22035486.437op/s 0.62% 0.559 0.138 0.16% 2461.503op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time [494.235µs; 494.383µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2022726.395op/s; 2023328.871op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [370.724µs; 370.798µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2696890.564op/s; 2697428.944op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [167.545µs; 167.582µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5967236.314op/s; 5968558.610op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.119µs; 37.132µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26930732.617op/s; 26940566.093op/s] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.634µs; 45.654µs] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21903857.560op/s; 21913506.474op/s] or [-0.022%; +0.022%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
credit_card/is_card_number/ execution_time 3.895µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.920µs 3.922µs 3.923µs 0.20% -0.814 7.937 0.08% 0.000µs 1 200
credit_card/is_card_number/ throughput 254928323.235op/s 255422089.377op/s ± 198881.498op/s 255442691.435op/s ± 111371.666op/s 255550081.432op/s 255664490.698op/s 255694220.860op/s 256720655.372op/s 0.50% 0.836 8.083 0.08% 14063.046op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.519µs 80.060µs ± 0.152µs 80.048µs ± 0.060µs 80.120µs 80.217µs 80.296µs 81.592µs 1.93% 4.702 50.975 0.19% 0.011µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12256122.767op/s 12490639.760op/s ± 23530.833op/s 12492477.038op/s ± 9399.494op/s 12501510.808op/s 12511065.983op/s 12552903.162op/s 12575577.966op/s 0.67% -4.528 49.046 0.19% 1663.881op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.817µs 67.931µs ± 0.090µs 67.912µs ± 0.043µs 67.962µs 68.050µs 68.210µs 68.708µs 1.17% 4.061 28.881 0.13% 0.006µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14554447.549op/s 14720828.999op/s ± 19366.990op/s 14724919.843op/s ± 9414.070op/s 14733194.539op/s 14739343.768op/s 14741654.771op/s 14745651.951op/s 0.14% -4.005 28.228 0.13% 1369.453op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.896µs 3.916µs ± 0.003µs 3.915µs ± 0.002µs 3.918µs 3.920µs 3.923µs 3.924µs 0.22% -0.771 6.758 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254868969.917op/s 255394683.798op/s ± 200160.172op/s 255422555.881op/s ± 124004.703op/s 255525277.839op/s 255646980.410op/s 255698810.944op/s 256660052.103op/s 0.48% 0.791 6.881 0.08% 14153.461op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.600µs 64.703µs ± 0.057µs 64.693µs ± 0.040µs 64.746µs 64.796µs 64.839µs 64.973µs 0.43% 0.815 1.544 0.09% 0.004µs 1 200
credit_card/is_card_number/378282246310005 throughput 15391095.685op/s 15455307.327op/s ± 13542.675op/s 15457548.933op/s ± 9443.731op/s 15465646.932op/s 15473446.792op/s 15478368.083op/s 15479767.943op/s 0.14% -0.808 1.511 0.09% 957.612op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.448µs 45.684µs ± 0.123µs 45.684µs ± 0.058µs 45.741µs 45.819µs 45.923µs 46.512µs 1.81% 2.702 17.462 0.27% 0.009µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21499642.262op/s 21889793.711op/s ± 58701.084op/s 21889650.575op/s ± 28008.366op/s 21918513.473op/s 21978108.551op/s 21995864.719op/s 22003057.923op/s 0.52% -2.605 16.712 0.27% 4150.793op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.579µs 6.629µs ± 0.012µs 6.632µs ± 0.005µs 6.637µs 6.644µs 6.648µs 6.661µs 0.43% -1.394 3.327 0.18% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 150122578.565op/s 150843849.821op/s ± 273385.136op/s 150774923.207op/s ± 124370.310op/s 150983512.601op/s 151274249.799op/s 151902066.089op/s 151995050.800op/s 0.81% 1.412 3.394 0.18% 19331.248op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.898µs 3.917µs ± 0.003µs 3.917µs ± 0.002µs 3.919µs 3.921µs 3.922µs 3.926µs 0.24% -0.704 4.628 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254683687.844op/s 255328880.065op/s ± 204252.194op/s 255297255.708op/s ± 144638.596op/s 255469222.349op/s 255591945.375op/s 255673570.908op/s 256522910.759op/s 0.48% 0.719 4.710 0.08% 14442.811op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.586µs 65.709µs ± 0.053µs 65.705µs ± 0.039µs 65.747µs 65.796µs 65.826µs 65.854µs 0.23% 0.149 -0.409 0.08% 0.004µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15185213.453op/s 15218735.795op/s ± 12291.678op/s 15219487.390op/s ± 9055.507op/s 15227858.023op/s 15239062.658op/s 15244025.509op/s 15247100.186op/s 0.18% -0.145 -0.410 0.08% 869.153op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.361µs 53.430µs ± 0.034µs 53.427µs ± 0.024µs 53.454µs 53.490µs 53.515µs 53.530µs 0.19% 0.462 -0.357 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18681235.911op/s 18716096.727op/s ± 12063.299op/s 18717240.785op/s ± 8567.175op/s 18725459.563op/s 18733042.113op/s 18735465.409op/s 18740446.609op/s 0.12% -0.459 -0.361 0.06% 853.004op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.898µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.920µs 3.922µs 3.924µs 0.23% -0.687 6.699 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254847617.788op/s 255415162.965op/s ± 185220.516op/s 255436208.106op/s ± 114311.056op/s 255530966.011op/s 255642062.370op/s 255697284.691op/s 256574443.859op/s 0.45% 0.704 6.807 0.07% 13097.068op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.158µs 50.221µs ± 0.032µs 50.219µs ± 0.023µs 50.243µs 50.281µs 50.300µs 50.352µs 0.26% 0.523 0.443 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19860302.631op/s 19912001.625op/s ± 12850.768op/s 19912837.528op/s ± 9193.619op/s 19921929.941op/s 19930904.735op/s 19934921.911op/s 19937094.479op/s 0.12% -0.519 0.432 0.06% 908.687op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.441µs 45.678µs ± 0.099µs 45.690µs ± 0.072µs 45.751µs 45.828µs 45.900µs 45.962µs 0.59% -0.055 -0.278 0.22% 0.007µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21757222.578op/s 21892400.589op/s ± 47653.774op/s 21886499.314op/s ± 34260.660op/s 21928603.672op/s 21966835.564op/s 22003010.861op/s 22006690.637op/s 0.55% 0.066 -0.282 0.22% 3369.631op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.563µs 6.626µs ± 0.014µs 6.632µs ± 0.008µs 6.636µs 6.641µs 6.645µs 6.646µs 0.22% -1.379 2.656 0.21% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 150456504.139op/s 150921474.358op/s ± 317524.469op/s 150792077.275op/s ± 177426.055op/s 151124777.931op/s 151461216.971op/s 152018825.583op/s 152366748.376op/s 1.04% 1.396 2.739 0.21% 22452.371op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
credit_card/is_card_number/ execution_time [3.915µs; 3.916µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/ throughput [255394526.314op/s; 255449652.440op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.039µs; 80.081µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12487378.613op/s; 12493900.907op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.919µs; 67.944µs] or [-0.018%; +0.018%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14718144.921op/s; 14723513.078op/s] or [-0.018%; +0.018%] None None None
credit_card/is_card_number/37828224631 execution_time [3.915µs; 3.916µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631 throughput [255366943.523op/s; 255422424.072op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.695µs; 64.711µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/378282246310005 throughput [15453430.443op/s; 15457184.212op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.667µs; 45.701µs] or [-0.037%; +0.037%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21881658.305op/s; 21897929.117op/s] or [-0.037%; +0.037%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.628µs; 6.631µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number/x371413321323331 throughput [150805961.270op/s; 150881738.371op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.916µs; 3.917µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255300572.675op/s; 255357187.454op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.701µs; 65.716µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15217032.287op/s; 15220439.304op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.425µs; 53.435µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18714424.870op/s; 18717768.584op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.915µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255389493.183op/s; 255440832.747op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.216µs; 50.225µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19910220.632op/s; 19913782.618op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.664µs; 45.692µs] or [-0.030%; +0.030%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21885796.234op/s; 21899004.944op/s] or [-0.030%; +0.030%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.624µs; 6.628µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [150877468.520op/s; 150965480.196op/s] or [-0.029%; +0.029%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample_frames_x1000 execution_time 4.194ms 4.200ms ± 0.007ms 4.199ms ± 0.002ms 4.201ms 4.204ms 4.206ms 4.294ms 2.27% 11.151 142.494 0.17% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.199ms; 4.201ms] or [-0.024%; +0.024%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sql/obfuscate_sql_string execution_time 89.526µs 89.787µs ± 0.229µs 89.761µs ± 0.068µs 89.829µs 89.987µs 90.209µs 92.577µs 3.14% 9.274 109.529 0.25% 0.016µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [89.755µs; 89.818µs] or [-0.035%; +0.035%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
concentrator/add_spans_to_concentrator execution_time 13.029ms 13.058ms ± 0.016ms 13.055ms ± 0.009ms 13.065ms 13.084ms 13.108ms 13.175ms 0.92% 2.441 13.772 0.12% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
concentrator/add_spans_to_concentrator execution_time [13.055ms; 13.060ms] or [-0.017%; +0.017%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
two way interface execution_time 18.133µs 25.942µs ± 9.431µs 18.325µs ± 0.126µs 34.265µs 43.335µs 44.541µs 65.724µs 258.66% 0.902 0.426 36.26% 0.667µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.635µs; 27.249µs] or [-5.038%; +5.038%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching serializing traces from their internal representation to msgpack execution_time 14.665ms 14.717ms ± 0.030ms 14.711ms ± 0.014ms 14.726ms 14.758ms 14.830ms 14.874ms 1.10% 2.279 7.469 0.20% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching serializing traces from their internal representation to msgpack execution_time [14.712ms; 14.721ms] or [-0.028%; +0.028%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 160.626µs 161.139µs ± 0.410µs 161.069µs ± 0.132µs 161.218µs 161.606µs 162.273µs 165.597µs 2.81% 6.895 69.002 0.25% 0.029µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [161.082µs; 161.196µs] or [-0.035%; +0.035%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
redis/obfuscate_redis_string execution_time 33.716µs 34.252µs ± 0.716µs 33.838µs ± 0.051µs 34.681µs 35.714µs 35.995µs 37.254µs 10.10% 1.418 1.008 2.09% 0.051µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.153µs; 34.351µs] or [-0.290%; +0.290%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
receiver_entry_point/report/2598 execution_time 3.416ms 3.449ms ± 0.019ms 3.445ms ± 0.009ms 3.456ms 3.482ms 3.526ms 3.532ms 2.53% 1.612 3.984 0.54% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2598 execution_time [3.446ms; 3.451ms] or [-0.075%; +0.075%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sdk_test_data/rules-based execution_time 144.886µs 146.649µs ± 1.653µs 146.335µs ± 0.537µs 147.055µs 148.182µs 152.562µs 162.875µs 11.30% 5.883 48.986 1.12% 0.117µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [146.420µs; 146.879µs] or [-0.156%; +0.156%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching deserializing traces from msgpack to their internal representation execution_time 48.386ms 48.705ms ± 1.008ms 48.573ms ± 0.056ms 48.638ms 48.801ms 52.444ms 60.969ms 25.52% 10.187 113.418 2.06% 0.071ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching deserializing traces from msgpack to their internal representation execution_time [48.566ms; 48.845ms] or [-0.287%; +0.287%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_add_sample2_frames_x1000 execution_time 740.394µs 742.204µs ± 0.739µs 742.194µs ± 0.450µs 742.591µs 743.410µs 744.274µs 745.633µs 0.46% 0.745 1.904 0.10% 0.052µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample2_frames_x1000 execution_time [742.102µs; 742.307µs] or [-0.014%; +0.014%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 2c66877 1773421604 igor/versioning/mergegate-github-actions
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
ip_address/quantize_peer_ip_address_benchmark execution_time 4.956µs 5.052µs ± 0.034µs 5.065µs ± 0.019µs 5.080µs 5.088µs 5.115µs 5.116µs 1.00% -0.418 -0.812 0.67% 0.002µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark execution_time [5.047µs; 5.057µs] or [-0.094%; +0.094%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Mar 13, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 100.37 MB 100.37 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.70 MB 8.70 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.22 MB 11.22 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 117.05 MB 117.05 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.18 MB 27.18 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 76.61 KB 76.61 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.17 MB 186.17 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 917.36 MB 917.36 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.94 MB 9.94 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 76.61 KB 76.61 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 24.78 MB 24.78 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.46 MB 51.46 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 22.98 MB 22.98 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.80 KB 77.80 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.34 MB 190.31 MB --.01% (-32.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 901.01 MB 901.01 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.54 MB 7.54 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.80 KB 77.80 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 26.53 MB 26.53 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.08 MB 47.08 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 87.58 MB 87.58 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.22 MB 10.22 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 109.91 MB 109.91 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.96 MB 11.96 MB 0% (0 B) 👌

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3 participants