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fix(crashtracker): Fix bin_tests on aarch64 in Gitlab#1808

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fix(crashtracker): Fix bin_tests on aarch64 in Gitlab#1808
gleocadie wants to merge 4 commits intomainfrom
gleocadie/fix-bin_tests-on-aarch64-gitlab

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@gleocadie gleocadie commented Mar 26, 2026

What does this PR do?

A brief description of the change being made with this pull request.

Motivation

What inspired you to submit this pull request?

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

@gleocadie gleocadie force-pushed the gleocadie/fix-bin_tests-on-aarch64-gitlab branch from d1cb90e to 642c3d8 Compare March 26, 2026 14:24
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github-actions bot commented Mar 26, 2026

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/gleocadie/fix-bin_tests-on-aarch64-gitlab

Summary by Rule

Rule Base Branch PR Branch Change

Annotation Counts by File

File Base Branch PR Branch Change

Annotation Stats by Crate

Crate Base Branch PR Branch Change
clippy-annotation-reporter 5 5 No change (0%)
datadog-ffe-ffi 1 1 No change (0%)
datadog-ipc 20 20 No change (0%)
datadog-live-debugger 6 6 No change (0%)
datadog-live-debugger-ffi 10 10 No change (0%)
datadog-profiling-replayer 4 4 No change (0%)
datadog-remote-config 3 3 No change (0%)
datadog-sidecar 55 55 No change (0%)
libdd-common 10 10 No change (0%)
libdd-common-ffi 12 12 No change (0%)
libdd-data-pipeline 5 5 No change (0%)
libdd-ddsketch 2 2 No change (0%)
libdd-dogstatsd-client 1 1 No change (0%)
libdd-profiling 13 13 No change (0%)
libdd-telemetry 19 19 No change (0%)
libdd-tinybytes 4 4 No change (0%)
libdd-trace-normalization 2 2 No change (0%)
libdd-trace-obfuscation 8 8 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 195 195 No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

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datadog-prod-us1-5 bot commented Mar 26, 2026 •
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 46.00%
• Overall Coverage: 71.15% (+0.05%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 6949210 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

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codecov-commenter commented Mar 26, 2026 •
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Codecov Report

❌ Patch coverage is 46.00000% with 27 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.15%. Comparing base (e8f9d68) to head (6949210).
⚠️ Report is 7 commits behind head on main.

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1808      +/-   ##
==========================================
+ Coverage   71.10%   71.15%   +0.05%     
==========================================
  Files         411      414       +3     
  Lines       64989    65786     +797     
==========================================
+ Hits        46209    46809     +600     
- Misses      18780    18977     +197
Components Coverage Δ
libdd-crashtracker 65.24% <52.27%> (-0.05%) ⬇️
libdd-crashtracker-ffi 35.24% <ø> (+0.25%) ⬆️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.55% <ø> (-0.08%) ⬇️
libdd-data-pipeline-ffi 75.77% <ø> (+2.31%) ⬆️
libdd-common 79.79% <ø> (+<0.01%) ⬆️
libdd-common-ffi 73.87% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 72.48% <ø> (-0.08%) ⬇️
libdd-profiling 81.61% <ø> (+0.02%) ⬆️
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 30.79% <ø> (-0.85%) ⬇️
datdog-sidecar-ffi 9.37% <ø> (-3.98%) ⬇️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 87.37% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.64% <ø> (-0.32%) ⬇️
datadog-tracer-flare 86.88% <ø> (ø)
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

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pr-commenter bot commented Mar 26, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-03-27 13:17:05

Comparing candidate commit 6949210 in PR branch gleocadie/fix-bin_tests-on-aarch64-gitlab with baseline commit a29b90b in branch main.

Found 12 performance improvements and 4 performance regressions! Performance is the same for 46 metrics, 0 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 ----------------------------------'

scenario:credit_card/is_card_number/ 378282246310005

  • 🟩 execution_time [-5.063µs; -4.963µs] or [-6.939%; -6.802%]
  • 🟩 throughput [+1001285.474op/s; +1020088.777op/s] or [+7.306%; +7.443%]

scenario:credit_card/is_card_number/378282246310005

  • 🟩 execution_time [-4.722µs; -4.654µs] or [-6.785%; -6.686%]
  • 🟩 throughput [+1030436.092op/s; +1044679.767op/s] or [+7.172%; +7.271%]

scenario:credit_card/is_card_number/37828224631000521389798

  • 🟩 execution_time [-6.671µs; -6.647µs] or [-12.751%; -12.707%]
  • 🟩 throughput [+2782823.430op/s; +2793248.586op/s] or [+14.558%; +14.613%]

scenario:credit_card/is_card_number/x371413321323331

  • 🟥 execution_time [+954.036ns; +971.989ns] or [+16.244%; +16.550%]
  • 🟥 throughput [-24265534.338op/s; -23745711.549op/s] or [-14.250%; -13.945%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

  • 🟩 execution_time [-4.598µs; -4.555µs] or [-7.927%; -7.853%]
  • 🟩 throughput [+1470418.226op/s; +1483140.714op/s] or [+8.528%; +8.602%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

  • 🟩 execution_time [-4.671µs; -4.608µs] or [-8.512%; -8.397%]
  • 🟩 throughput [+1672228.557op/s; +1693224.565op/s] or [+9.176%; +9.291%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

  • 🟩 execution_time [-6.672µs; -6.646µs] or [-12.755%; -12.706%]
  • 🟩 throughput [+2782992.258op/s; +2794998.675op/s] or [+14.556%; +14.619%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

  • 🟥 execution_time [+967.663ns; +985.099ns] or [+16.512%; +16.810%]
  • 🟥 throughput [-24643469.148op/s; -24135578.777op/s] or [-14.440%; -14.143%]

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 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 4.234ms 4.239ms ± 0.002ms 4.239ms ± 0.001ms 4.240ms 4.243ms 4.246ms 4.246ms 0.16% 0.413 1.131 0.05% 0.000ms 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 [4.239ms; 4.240ms] or [-0.007%; +0.007%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 5.363µs 5.519µs ± 0.054µs 5.506µs ± 0.034µs 5.569µs 5.600µs 5.614µs 5.623µs 2.13% 0.066 -0.682 0.98% 0.004µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [5.512µs; 5.527µs] or [-0.136%; +0.136%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 161.665µs 162.571µs ± 0.335µs 162.612µs ± 0.195µs 162.755µs 163.020µs 163.184µs 164.703µs 1.29% 1.201 8.152 0.21% 0.024µs 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 [162.525µs; 162.618µs] or [-0.029%; +0.029%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_serialize_compressed_pprof_timestamped_x1000 execution_time 912.062µs 914.419µs ± 1.125µs 914.372µs ± 0.617µs 914.974µs 916.334µs 917.872µs 918.754µs 0.48% 0.875 1.760 0.12% 0.080µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000 execution_time [914.263µs; 914.575µs] or [-0.017%; +0.017%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 742.976µs 744.250µs ± 0.551µs 744.209µs ± 0.345µs 744.557µs 745.068µs 745.765µs 746.751µs 0.34% 0.929 2.861 0.07% 0.039µs 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 [744.174µs; 744.326µs] or [-0.010%; +0.010%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 285.899µs 286.820µs ± 0.441µs 286.753µs ± 0.169µs 286.927µs 287.250µs 288.905µs 290.457µs 1.29% 4.217 27.600 0.15% 0.031µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [286.759µs; 286.881µs] or [-0.021%; +0.021%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 2.321µs 2.360µs ± 0.016µs 2.358µs ± 0.004µs 2.364µs 2.395µs 2.418µs 2.442µs 3.53% 2.137 6.936 0.67% 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 [2.358µs; 2.363µs] or [-0.093%; +0.093%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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_timestamped_x1000 execution_time 4.137ms 4.144ms ± 0.007ms 4.143ms ± 0.001ms 4.144ms 4.147ms 4.151ms 4.237ms 2.27% 11.317 144.500 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_timestamped_x1000 execution_time [4.143ms; 4.144ms] 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 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 34.211µs 34.714µs ± 0.818µs 34.348µs ± 0.058µs 34.427µs 36.413µs 36.509µs 38.195µs 11.20% 1.816 1.838 2.35% 0.058µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.601µs; 34.828µs] or [-0.327%; +0.327%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 13.597µs 13.763µs ± 0.068µs 13.765µs ± 0.051µs 13.811µs 13.878µs 13.928µs 13.951µs 1.35% 0.149 -0.203 0.49% 0.005µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [13.753µs; 13.772µs] or [-0.068%; +0.068%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 3.921µs 3.923µs 3.924µs 0.24% -0.651 6.234 0.08% 0.000µs 1 200
credit_card/is_card_number/ throughput 254842430.078op/s 255428629.172op/s ± 212515.420op/s 255442946.818op/s ± 135745.866op/s 255575912.440op/s 255691383.748op/s 255746956.663op/s 256735591.381op/s 0.51% 0.671 6.347 0.08% 15027.109op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.102µs 79.930µs ± 0.182µs 79.943µs ± 0.085µs 80.022µs 80.085µs 80.224µs 81.519µs 1.97% 2.330 30.370 0.23% 0.013µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12267138.556op/s 12510969.967op/s ± 28388.715op/s 12508938.681op/s ± 13222.633op/s 12523575.822op/s 12544618.610op/s 12611650.294op/s 12641902.851op/s 1.06% -2.149 28.976 0.23% 2007.385op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.828µs 67.955µs ± 0.074µs 67.946µs ± 0.047µs 67.997µs 68.057µs 68.139µs 68.450µs 0.74% 1.861 9.071 0.11% 0.005µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14609104.295op/s 14715565.057op/s ± 15938.436op/s 14717610.815op/s ± 10274.906op/s 14727474.552op/s 14736511.645op/s 14739512.035op/s 14743097.541op/s 0.17% -1.837 8.869 0.11% 1127.018op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.894µs 3.914µs ± 0.003µs 3.914µs ± 0.002µs 3.916µs 3.919µs 3.923µs 3.927µs 0.34% -0.466 8.525 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254637923.311op/s 255496684.466op/s ± 203289.397op/s 255504266.930op/s ± 115741.616op/s 255626362.502op/s 255736625.428op/s 255863717.441op/s 256782680.847op/s 0.50% 0.491 8.635 0.08% 14374.731op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.810µs 64.910µs ± 0.053µs 64.903µs ± 0.035µs 64.941µs 64.999µs 65.054µs 65.192µs 0.44% 1.100 3.190 0.08% 0.004µs 1 200
credit_card/is_card_number/378282246310005 throughput 15339369.194op/s 15405960.144op/s ± 12680.307op/s 15407496.477op/s ± 8414.226op/s 15415520.252op/s 15423715.000op/s 15425707.064op/s 15429631.622op/s 0.14% -1.090 3.139 0.08% 896.633op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.404µs 45.656µs ± 0.071µs 45.656µs ± 0.045µs 45.701µs 45.774µs 45.809µs 45.825µs 0.37% -0.262 0.414 0.16% 0.005µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21822045.583op/s 21903140.685op/s ± 34206.079op/s 21903012.367op/s ± 21507.778op/s 21924203.644op/s 21956863.333op/s 21986010.922op/s 22024325.868op/s 0.55% 0.273 0.430 0.16% 2418.735op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.827µs 6.836µs ± 0.004µs 6.836µs ± 0.003µs 6.838µs 6.843µs 6.845µs 6.865µs 0.43% 1.439 8.316 0.06% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 145661608.867op/s 146280101.691op/s ± 93814.901op/s 146284793.707op/s ± 53500.480op/s 146338347.977op/s 146429779.983op/s 146455262.216op/s 146485773.258op/s 0.14% -1.423 8.198 0.06% 6633.715op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.897µs 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.915µs 3.918µs 3.919µs 3.921µs 0.18% -1.198 8.706 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255050346.240op/s 255496492.397op/s ± 163352.936op/s 255498160.417op/s ± 92501.965op/s 255589366.823op/s 255724976.619op/s 255754499.001op/s 256591282.725op/s 0.43% 1.216 8.835 0.06% 11550.797op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.189µs 65.760µs ± 0.059µs 65.765µs ± 0.028µs 65.790µs 65.828µs 65.862µs 65.882µs 0.18% -4.575 42.390 0.09% 0.004µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15178657.260op/s 15206865.500op/s ± 13686.120op/s 15205598.324op/s ± 6458.771op/s 15212507.167op/s 15224538.889op/s 15232492.177op/s 15340085.177op/s 0.88% 4.639 43.186 0.09% 967.755op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.354µs 53.424µs ± 0.028µs 53.424µs ± 0.018µs 53.441µs 53.473µs 53.487µs 53.503µs 0.15% 0.112 -0.132 0.05% 0.002µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18690700.521op/s 18718253.395op/s ± 9946.852op/s 18718320.736op/s ± 6456.218op/s 18724930.351op/s 18733823.334op/s 18742044.575op/s 18742729.715op/s 0.13% -0.110 -0.132 0.05% 703.349op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.896µs 3.914µs ± 0.003µs 3.913µs ± 0.001µs 3.915µs 3.918µs 3.919µs 3.934µs 0.52% 0.682 18.764 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254212970.573op/s 255511280.090op/s ± 184697.930op/s 255529999.222op/s ± 82634.146op/s 255601218.082op/s 255712370.405op/s 255757733.723op/s 256694579.565op/s 0.46% -0.638 18.707 0.07% 13060.116op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.150µs 50.235µs ± 0.039µs 50.231µs ± 0.027µs 50.266µs 50.298µs 50.325µs 50.351µs 0.24% 0.275 -0.327 0.08% 0.003µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19860716.793op/s 19906283.986op/s ± 15422.524op/s 19907941.696op/s ± 10689.119op/s 19917664.855op/s 19929968.284op/s 19935628.852op/s 19940268.924op/s 0.16% -0.271 -0.331 0.08% 1090.537op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.434µs 45.646µs ± 0.085µs 45.658µs ± 0.057µs 45.706µs 45.785µs 45.806µs 45.812µs 0.34% -0.315 -0.492 0.19% 0.006µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21828139.582op/s 21907607.159op/s ± 40932.547op/s 21901881.405op/s ± 27520.474op/s 21935803.086op/s 21978014.702op/s 22005247.512op/s 22009926.376op/s 0.49% 0.323 -0.487 0.19% 2894.368op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.827µs 6.837µs ± 0.004µs 6.836µs ± 0.003µs 6.839µs 6.845µs 6.848µs 6.851µs 0.23% 0.555 0.359 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 145957685.440op/s 146270343.414op/s ± 94566.643op/s 146287689.891op/s ± 63139.856op/s 146336459.750op/s 146399872.529op/s 146462561.580op/s 146472500.664op/s 0.13% -0.551 0.353 0.06% 6686.871op/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; 3.915µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ throughput [255399176.578op/s; 255458081.765op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.905µs; 79.956µs] or [-0.032%; +0.032%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12507035.564op/s; 12514904.370op/s] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.945µs; 67.966µs] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14713356.143op/s; 14717773.971op/s] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/37828224631 execution_time [3.914µs; 3.914µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631 throughput [255468510.511op/s; 255524858.421op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.903µs; 64.917µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 throughput [15404202.776op/s; 15407717.513op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.646µs; 45.666µs] or [-0.022%; +0.022%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21898400.052op/s; 21907881.319op/s] or [-0.022%; +0.022%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.836µs; 6.837µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 throughput [146267099.848op/s; 146293103.534op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.914µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ throughput [255473853.251op/s; 255519131.543op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.752µs; 65.768µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15204968.735op/s; 15208762.264op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.420µs; 53.428µs] or [-0.007%; +0.007%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18716874.857op/s; 18719631.933op/s] or [-0.007%; +0.007%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.913µs; 3.914µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255485682.733op/s; 255536877.447op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.230µs; 50.241µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19904146.572op/s; 19908421.399op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.635µs; 45.658µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21901934.302op/s; 21913280.017op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.836µs; 6.837µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [146257237.387op/s; 146283449.442op/s] or [-0.009%; +0.009%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 495.296µs 496.571µs ± 1.151µs 496.248µs ± 0.378µs 496.668µs 499.351µs 500.515µs 501.757µs 1.11% 2.218 5.020 0.23% 0.081µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1992998.375op/s 2013821.602op/s ± 4642.236op/s 2015123.502op/s ± 1536.299op/s 2016613.478op/s 2017750.114op/s 2018679.707op/s 2018993.343op/s 0.19% -2.204 4.946 0.23% 328.256op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.754µs 371.435µs ± 0.340µs 371.422µs ± 0.198µs 371.619µs 372.049µs 372.268µs 372.438µs 0.27% 0.301 -0.150 0.09% 0.024µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2685011.286op/s 2692260.383op/s ± 2466.120op/s 2692357.690op/s ± 1437.014op/s 2693780.150op/s 2696115.500op/s 2697111.828op/s 2697204.336op/s 0.18% -0.296 -0.155 0.09% 174.381op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 168.301µs 168.742µs ± 0.143µs 168.729µs ± 0.101µs 168.833µs 168.978µs 169.101µs 169.168µs 0.26% 0.249 0.094 0.08% 0.010µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5911284.270op/s 5926225.204op/s ± 5026.405op/s 5926646.721op/s ± 3554.981op/s 5929555.979op/s 5933073.332op/s 5935608.538op/s 5941752.585op/s 0.25% -0.243 0.092 0.08% 355.421op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.836µs 37.077µs ± 0.136µs 37.082µs ± 0.107µs 37.181µs 37.281µs 37.356µs 37.590µs 1.37% 0.241 -0.201 0.36% 0.010µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26603163.164op/s 26970989.789op/s ± 98577.414op/s 26967305.315op/s ± 78163.130op/s 27056755.972op/s 27119718.838op/s 27139862.979op/s 27147647.112op/s 0.67% -0.222 -0.247 0.36% 6970.476op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.270µs 46.400µs ± 0.101µs 46.394µs ± 0.046µs 46.442µs 46.493µs 46.554µs 47.542µs 2.47% 7.283 79.983 0.22% 0.007µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21033939.664op/s 21552028.711op/s ± 46199.739op/s 21554312.619op/s ± 21384.044op/s 21575443.693op/s 21598278.099op/s 21603428.577op/s 21612203.114op/s 0.27% -7.096 77.191 0.21% 3266.815op/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 [496.412µs; 496.730µs] or [-0.032%; +0.032%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2013178.233op/s; 2014464.971op/s] or [-0.032%; +0.032%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.388µs; 371.483µs] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2691918.602op/s; 2692602.164op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.722µs; 168.761µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5925528.592op/s; 5926921.815op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.059µs; 37.096µs] or [-0.051%; +0.051%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26957327.907op/s; 26984651.670op/s] or [-0.051%; +0.051%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.386µs; 46.414µs] or [-0.030%; +0.030%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21545625.871op/s; 21558431.550op/s] or [-0.030%; +0.030%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 190.430ns 192.976ns ± 1.919ns 192.945ns ± 1.116ns 193.964ns 195.977ns 198.828ns 204.502ns 5.99% 1.568 6.249 0.99% 0.136ns 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 [192.710ns; 193.242ns] or [-0.138%; +0.138%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 243.647ns 255.407ns ± 13.220ns 250.097ns ± 4.768ns 258.577ns 286.236ns 290.119ns 292.307ns 16.88% 1.416 0.769 5.16% 0.935ns 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 [253.575ns; 257.239ns] or [-0.717%; +0.717%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 185.534µs 186.018µs ± 0.268µs 186.003µs ± 0.151µs 186.147µs 186.407µs 186.622µs 188.145µs 1.15% 2.668 18.337 0.14% 0.019µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5315043.913op/s 5375826.527op/s ± 7714.165op/s 5376266.044op/s ± 4355.411op/s 5381143.538op/s 5385675.203op/s 5386875.507op/s 5389857.124op/s 0.25% -2.612 17.766 0.14% 545.474op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.791µs 17.879µs ± 0.038µs 17.878µs ± 0.023µs 17.900µs 17.937µs 17.965µs 18.125µs 1.38% 1.427 7.948 0.21% 0.003µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55170955.783op/s 55931725.540op/s ± 117878.118op/s 55934076.755op/s ± 70458.254op/s 56010365.213op/s 56082303.751op/s 56169843.649op/s 56207425.237op/s 0.49% -1.378 7.595 0.21% 8335.242op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.544µs 10.588µs ± 0.021µs 10.582µs ± 0.011µs 10.607µs 10.620µs 10.635µs 10.657µs 0.71% 0.322 -0.110 0.20% 0.001µs 1 200
normalization/normalize_name/normalize_name/good throughput 93837121.679op/s 94447410.064op/s ± 187365.390op/s 94503946.304op/s ± 101744.641op/s 94560463.476op/s 94784638.155op/s 94829523.050op/s 94841628.959op/s 0.36% -0.311 -0.119 0.20% 13248.734op/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 [185.981µs; 186.055µs] or [-0.020%; +0.020%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5374757.418op/s; 5376895.636op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.874µs; 17.884µs] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55915388.766op/s; 55948062.313op/s] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.585µs; 10.591µs] or [-0.028%; +0.028%] None None None
normalization/normalize_name/normalize_name/good throughput [94421443.023op/s; 94473377.105op/s] or [-0.027%; +0.027%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 146.370µs 148.247µs ± 1.847µs 148.023µs ± 0.550µs 148.520µs 149.861µs 154.221µs 166.984µs 12.81% 6.466 56.609 1.24% 0.131µs 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 [147.991µs; 148.503µs] or [-0.173%; +0.173%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 14.733ms 14.767ms ± 0.020ms 14.764ms ± 0.014ms 14.780ms 14.801ms 14.820ms 14.833ms 0.47% 0.575 0.151 0.13% 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 [14.765ms; 14.770ms] or [-0.018%; +0.018%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 4.970µs 5.055µs ± 0.046µs 5.047µs ± 0.032µs 5.078µs 5.127µs 5.143µs 5.144µs 1.93% 0.321 -0.898 0.91% 0.003µs 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 [5.049µs; 5.061µs] or [-0.126%; +0.126%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 3.385ms 3.514ms ± 0.072ms 3.555ms ± 0.030ms 3.571ms 3.593ms 3.604ms 3.616ms 1.73% -0.534 -1.387 2.06% 0.005ms 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 [3.504ms; 3.524ms] or [-0.286%; +0.286%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 13.948ms 14.062ms ± 0.058ms 14.070ms ± 0.046ms 14.106ms 14.139ms 14.206ms 14.275ms 1.45% 0.368 -0.076 0.41% 0.004ms 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 [14.054ms; 14.070ms] or [-0.057%; +0.057%] None None None

Group 21

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 6949210 1774616366 gleocadie/fix-bin_tests-on-aarch64-gitlab
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 49.123ms 49.494ms ± 0.684ms 49.393ms ± 0.062ms 49.451ms 49.623ms 52.298ms 56.459ms 14.30% 7.544 63.863 1.38% 0.048ms 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 [49.399ms; 49.588ms] or [-0.192%; +0.192%] None None None

Baseline

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dd-octo-sts bot commented Mar 26, 2026 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.45 MB 101.47 MB +.02% (+23.25 KB) 🔍
/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.a 118.24 MB 118.27 MB +.02% (+30.00 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.29 MB 11.29 MB +0% (+504 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.26 MB 27.26 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 80.34 KB 80.34 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.53 MB 186.55 MB +0% (+16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 921.92 MB 921.92 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.00 MB 9.00 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 80.34 KB 80.34 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.83 MB 26.83 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 61.01 MB 61.01 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.08 MB 23.08 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 81.59 KB 81.59 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.75 MB 190.76 MB +0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 905.45 MB 905.45 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.86 MB 6.86 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 81.59 KB 81.59 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 28.94 MB 28.94 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 57.39 MB 57.39 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.31 MB 88.34 MB +.02% (+23.28 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.28 MB 10.28 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 110.98 MB 111.02 MB +.03% (+34.60 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.02 MB 12.02 MB +0% (+24 B) 👌

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github-actions bot commented Mar 26, 2026 •
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📚 Documentation Check Results

⚠️ 1049 documentation warning(s) found

📦 libdd-crashtracker - 1049 warning(s)

Updated: 2026-03-27 13:01:14 UTC | Commit: 7ff81a7 | missing-docs job results

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github-actions bot commented Mar 26, 2026 •
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🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-crashtracker - 1 error(s)

Show output 
error[unmaintained]: paste - no longer maintained
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:131:1
    │
131 │ paste 1.0.15 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unmaintained advisory detected
    │
    ├ ID: RUSTSEC-2024-0436
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2024-0436
    ├ The creator of the crate `paste` has stated in the [`README.md`](https://github.com/dtolnay/paste/blob/master/README.md) 
      that this project is not longer maintained as well as archived the repository
      
      ## Possible Alternative(s)
      
      - [`pastey`]: a fork of paste and is aimed to be a drop-in replacement with additional features for paste crate
      - [`with_builtin_macros`]: crate providing a [superset of `paste`'s functionality including general `macro_rules!` eager expansions](https://docs.rs/with_builtin_macros/0.1.0/with_builtin_macros/macro.with_eager_expansions.html)  and `concat!`/`concat_idents!` macros
      
      [`pastey`]: https://crates.io/crates/pastey
      [`with_builtin_macros`]: https://crates.io/crates/with_builtin_macros
    ├ Announcement: https://github.com/dtolnay/paste
    ├ Solution: No safe upgrade is available!
    ├ paste v1.0.15
      └── libdd-libunwind-sys v0.1.0
          └── libdd-crashtracker v1.0.0

advisories FAILED, bans ok, sources ok

Updated: 2026-03-27 13:04:19 UTC | Commit: 7ff81a7 | dependency-check job results

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