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ci(ruby): Package libdatadog v28.0.0 for Ruby#1621

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gyuheon0h/package-ruby-v28
Feb 23, 2026
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ci(ruby): Package libdatadog v28.0.0 for Ruby#1621
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit intomainfrom
gyuheon0h/package-ruby-v28

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@gyuheon0h gyuheon0h commented Feb 23, 2026 •
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What does this PR do?

This PR includes the changes documented in the "Releasing a new version to rubygems.org" part of the README:
https://github.com/datadog/libdatadog/tree/main/ruby#releasing-a-new-version-to-rubygemsorg

The v28 release is here: https://github.com/DataDog/libdatadog/releases/tag/v28.0.0

Motivation

Enable Ruby to use libdatadog v28.0.0. IMPORTANT: this version will not be merged into main for dd-trace-rb as there is a regression in the profiler exporter in v28. However, we still want to release this version as an an effort to keep a running upgrade version ready.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

I've tested this change locally with the changes in DataDog/dd-trace-rb#5274 and was able to get a green test suite run for Ruby.

As a reminder, new libdatadog releases don't get automatically picked up by dd-trace-rb, so the PR that bumps the dependency will also test this release against all supported Ruby versions.

@gyuheon0h gyuheon0h requested a review from a team as a code owner February 23, 2026 13:13
@gyuheon0h gyuheon0h requested a review from ivoanjo February 23, 2026 13:13
@gyuheon0h gyuheon0h changed the title ci(ruby): Package libdatadog v27.0.0 for Ruby ci(ruby): Package libdatadog v28.0.0 for Ruby Feb 23, 2026
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codecov-commenter commented Feb 23, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.19%. Comparing base (c8121f4) to head (9a8fe7d).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1621      +/-   ##
==========================================
- Coverage   71.20%   71.19%   -0.01%     
==========================================
  Files         423      423              
  Lines       62486    62486              
==========================================
- Hits        44492    44489       -3     
- Misses      17994    17997       +3
Components Coverage Δ
libdd-crashtracker 63.04% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 15.63% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.27% <ø> (ø)
libdd-data-pipeline-ffi 71.51% <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 80.74% <ø> (-0.12%) ⬇️
libdd-profiling 81.56% <ø> (ø)
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 34.18% <ø> (ø)
datdog-sidecar-ffi 15.63% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 94.21% <ø> (ø)
libdd-trace-protobuf 68.00% <ø> (ø)
libdd-trace-utils 88.97% <ø> (ø)
datadog-tracer-flare 86.86% <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 Feb 23, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-02-23 13:28:02

Comparing candidate commit 9a8fe7d in PR branch gyuheon0h/package-ruby-v28 with baseline commit c8121f4 in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 56 metrics, 2 unstable metrics.

scenario:normalization/normalize_trace/test_trace

  • 🟥 execution_time [+24.662ns; +35.101ns] or [+9.661%; +13.750%]

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 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 32.753µs 33.532µs ± 1.000µs 32.922µs ± 0.074µs 34.554µs 35.337µs 35.722µs 37.000µs 12.39% 1.120 -0.267 2.97% 0.071µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.393µs; 33.670µs] or [-0.413%; +0.413%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 1.189µs 3.197µs ± 1.444µs 2.986µs ± 0.030µs 3.012µs 3.664µs 13.866µs 15.301µs 412.42% 7.383 55.751 45.05% 0.102µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [2.996µs; 3.397µs] or [-6.259%; +6.259%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 145.053µs 146.630µs ± 1.649µs 146.351µs ± 0.505µs 146.962µs 148.496µs 153.629µs 162.356µs 10.94% 5.612 44.613 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 [146.401µs; 146.858µs] or [-0.156%; +0.156%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 493.978µs 494.952µs ± 0.482µs 494.903µs ± 0.310µs 495.214µs 495.593µs 496.389µs 498.305µs 0.69% 2.165 11.858 0.10% 0.034µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2006805.076op/s 2020398.554op/s ± 1964.329op/s 2020597.182op/s ± 1263.294op/s 2021770.878op/s 2022732.274op/s 2023740.568op/s 2024383.702op/s 0.19% -2.139 11.640 0.10% 138.899op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.730µs 371.437µs ± 0.282µs 371.424µs ± 0.201µs 371.625µs 371.929µs 372.090µs 372.269µs 0.23% 0.258 -0.178 0.08% 0.020µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2686232.405op/s 2692251.695op/s ± 2046.272op/s 2692342.877op/s ± 1458.880op/s 2693803.418op/s 2695432.289op/s 2696132.867op/s 2697382.741op/s 0.19% -0.254 -0.182 0.08% 144.693op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.583µs 167.977µs ± 0.172µs 167.963µs ± 0.105µs 168.065µs 168.274µs 168.450µs 168.773µs 0.48% 0.801 1.782 0.10% 0.012µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5925106.924op/s 5953199.688op/s ± 6083.879op/s 5953700.426op/s ± 3708.951op/s 5957324.571op/s 5961710.278op/s 5965257.462op/s 5967174.987op/s 0.23% -0.792 1.747 0.10% 430.195op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.599µs 36.695µs ± 0.053µs 36.690µs ± 0.033µs 36.724µs 36.771µs 36.872µs 36.985µs 0.80% 1.485 4.990 0.14% 0.004µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 27038013.876op/s 27251853.623op/s ± 39363.882op/s 27255052.544op/s ± 24785.957op/s 27279514.711op/s 27304104.263op/s 27317150.143op/s 27323515.507op/s 0.25% -1.464 4.877 0.14% 2783.447op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.378µs 45.518µs ± 0.058µs 45.515µs ± 0.031µs 45.542µs 45.622µs 45.672µs 45.799µs 0.62% 0.950 2.524 0.13% 0.004µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21834665.005op/s 21969199.229op/s ± 27753.896op/s 21970888.816op/s ± 14765.935op/s 21986536.058op/s 22006185.617op/s 22021035.494op/s 22037337.126op/s 0.30% -0.936 2.471 0.13% 1962.497op/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 [494.885µs; 495.019µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2020126.317op/s; 2020670.791op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.397µs; 371.476µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2691968.102op/s; 2692535.289op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [167.953µs; 168.001µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5952356.521op/s; 5954042.855op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.687µs; 36.702µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27246398.167op/s; 27257309.078op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.510µs; 45.526µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21965352.805op/s; 21973045.652op/s] or [-0.018%; +0.018%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 3.900µs 3.916µs ± 0.003µs 3.916µs ± 0.002µs 3.917µs 3.920µs 3.923µs 3.925µs 0.23% -0.619 5.659 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254794982.284op/s 255381131.114op/s ± 181971.090op/s 255383621.684op/s ± 103384.285op/s 255489793.184op/s 255614033.255op/s 255682011.367op/s 256413138.469op/s 0.40% 0.634 5.727 0.07% 12867.299op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 78.660µs 80.352µs ± 0.622µs 80.322µs ± 0.427µs 80.774µs 81.373µs 81.753µs 82.250µs 2.40% 0.149 0.185 0.77% 0.044µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12158052.327op/s 12445950.183op/s ± 96262.920op/s 12449934.347op/s ± 66567.410op/s 12514842.793op/s 12604409.200op/s 12658141.556op/s 12712967.842op/s 2.11% -0.099 0.169 0.77% 6806.816op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 71.457µs 71.737µs ± 0.230µs 71.716µs ± 0.158µs 71.824µs 72.166µs 72.435µs 72.721µs 1.40% 1.334 2.085 0.32% 0.016µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13751226.560op/s 13940029.961op/s ± 44541.651op/s 13943941.184op/s ± 30599.733op/s 13977770.802op/s 13986718.913op/s 13990524.736op/s 13994382.655op/s 0.36% -1.312 1.989 0.32% 3149.570op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.894µs 3.915µs ± 0.003µs 3.915µs ± 0.001µs 3.916µs 3.919µs 3.920µs 3.922µs 0.19% -2.616 23.124 0.06% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254958508.574op/s 255433750.873op/s ± 165258.569op/s 255443354.812op/s ± 81276.705op/s 255520194.531op/s 255624909.539op/s 255691446.988op/s 256822262.597op/s 0.54% 2.652 23.476 0.06% 11685.545op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 68.266µs 68.695µs ± 0.244µs 68.708µs ± 0.166µs 68.812µs 69.099µs 69.414µs 69.604µs 1.30% 0.832 1.128 0.35% 0.017µs 1 200
credit_card/is_card_number/378282246310005 throughput 14366904.163op/s 14557280.427op/s ± 51508.117op/s 14554304.578op/s ± 35329.490op/s 14594541.281op/s 14635374.075op/s 14645841.573op/s 14648598.189op/s 0.65% -0.806 1.054 0.35% 3642.174op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.431µs 45.720µs ± 0.093µs 45.731µs ± 0.068µs 45.786µs 45.868µs 45.906µs 45.953µs 0.49% -0.209 -0.214 0.20% 0.007µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21761284.866op/s 21872542.673op/s ± 44631.993op/s 21867043.086op/s ± 32495.243op/s 21905849.998op/s 21941456.265op/s 21978395.347op/s 22011229.345op/s 0.66% 0.220 -0.206 0.20% 3155.959op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.562µs 6.619µs ± 0.017µs 6.621µs ± 0.013µs 6.633µs 6.642µs 6.650µs 6.654µs 0.50% -0.594 0.089 0.26% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 150286408.920op/s 151081043.694op/s ± 389239.933op/s 151040984.559op/s ± 286494.228op/s 151356252.733op/s 151812509.633op/s 152030710.710op/s 152388139.849op/s 0.89% 0.608 0.113 0.26% 27523.420op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.899µs 3.916µs ± 0.004µs 3.915µs ± 0.002µs 3.918µs 3.924µs 3.929µs 3.940µs 0.62% 1.270 5.122 0.11% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 253822215.725op/s 255334586.861op/s ± 285668.554op/s 255396245.695op/s ± 135676.770op/s 255509466.648op/s 255632982.622op/s 255754195.859op/s 256478260.254op/s 0.42% -1.251 5.072 0.11% 20199.817op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.204µs 65.739µs ± 0.065µs 65.742µs ± 0.033µs 65.775µs 65.805µs 65.864µs 66.034µs 0.44% -2.203 23.081 0.10% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15143625.410op/s 15211791.127op/s ± 15118.873op/s 15210885.507op/s ± 7673.795op/s 15218599.516op/s 15229949.542op/s 15238094.830op/s 15336480.887op/s 0.83% 2.263 23.551 0.10% 1069.066op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.364µs 53.435µs ± 0.035µs 53.432µs ± 0.026µs 53.463µs 53.489µs 53.508µs 53.536µs 0.19% 0.226 -0.572 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18679090.249op/s 18714348.146op/s ± 12096.102op/s 18715355.130op/s ± 9080.537op/s 18723715.837op/s 18732131.148op/s 18736199.064op/s 18739273.510op/s 0.13% -0.223 -0.575 0.06% 855.324op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.896µs 3.915µs ± 0.002µs 3.915µs ± 0.001µs 3.916µs 3.919µs 3.920µs 3.921µs 0.15% -2.014 17.332 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255059708.249op/s 255433381.151op/s ± 158386.038op/s 255447022.534op/s ± 91975.375op/s 255534414.495op/s 255619372.122op/s 255637408.165op/s 256678053.132op/s 0.48% 2.042 17.592 0.06% 11199.584op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.138µs 50.224µs ± 0.033µs 50.224µs ± 0.028µs 50.254µs 50.276µs 50.287µs 50.326µs 0.20% 0.043 -0.680 0.07% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19870367.708op/s 19910615.828op/s ± 13254.221op/s 19910718.351op/s ± 11026.053op/s 19921323.224op/s 19930163.713op/s 19934663.264op/s 19945031.493op/s 0.17% -0.040 -0.681 0.07% 937.215op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.363µs 45.656µs ± 0.091µs 45.658µs ± 0.065µs 45.729µs 45.788µs 45.824µs 45.921µs 0.57% -0.391 0.281 0.20% 0.006µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21776706.012op/s 21903214.741op/s ± 43636.104op/s 21901845.785op/s ± 31288.550op/s 21932352.402op/s 21976390.995op/s 22029389.497op/s 22044395.208op/s 0.65% 0.404 0.296 0.20% 3085.538op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.548µs 6.621µs ± 0.017µs 6.625µs ± 0.011µs 6.635µs 6.641µs 6.644µs 6.652µs 0.42% -1.018 1.047 0.26% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 150324300.818op/s 151031317.657op/s ± 394147.688op/s 150954035.499op/s ± 260959.464op/s 151263436.776op/s 151807015.584op/s 151995994.132op/s 152712711.030op/s 1.17% 1.033 1.109 0.26% 27870.450op/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 [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255355911.672op/s; 255406350.557op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.266µs; 80.438µs] or [-0.107%; +0.107%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12432609.068op/s; 12459291.298op/s] or [-0.107%; +0.107%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [71.705µs; 71.768µs] or [-0.044%; +0.044%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13933856.917op/s; 13946203.006op/s] or [-0.044%; +0.044%] None None None
credit_card/is_card_number/37828224631 execution_time [3.915µs; 3.915µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631 throughput [255410847.625op/s; 255456654.121op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.661µs; 68.729µs] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/378282246310005 throughput [14550141.897op/s; 14564418.957op/s] or [-0.049%; +0.049%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.707µs; 45.733µs] or [-0.028%; +0.028%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21866357.108op/s; 21878728.238op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.617µs; 6.621µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number/x371413321323331 throughput [151027098.783op/s; 151134988.605op/s] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.916µs; 3.917µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number_no_luhn/ throughput [255294995.947op/s; 255374177.775op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.730µs; 65.748µs] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15209695.796op/s; 15213886.457op/s] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.430µs; 53.440µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18712671.743op/s; 18716024.550op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.915µs; 3.915µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255411430.369op/s; 255455331.933op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.220µs; 50.229µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19908778.921op/s; 19912452.736op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.643µs; 45.668µs] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21897167.197op/s; 21909262.285op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.619µs; 6.624µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [150976692.578op/s; 151085942.736op/s] or [-0.036%; +0.036%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 85.768µs 86.062µs ± 0.144µs 86.038µs ± 0.053µs 86.103µs 86.226µs 86.492µs 87.488µs 1.68% 5.392 47.717 0.17% 0.010µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [86.042µs; 86.082µs] or [-0.023%; +0.023%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 13.898ms 13.968ms ± 0.029ms 13.964ms ± 0.011ms 13.976ms 14.006ms 14.069ms 14.179ms 1.54% 2.909 15.810 0.21% 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 [13.964ms; 13.972ms] 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 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 4.987µs 5.070µs ± 0.049µs 5.045µs ± 0.027µs 5.102µs 5.157µs 5.160µs 5.161µs 2.31% 0.628 -1.045 0.97% 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 [5.064µs; 5.077µs] or [-0.135%; +0.135%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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/2597 execution_time 3.403ms 3.432ms ± 0.014ms 3.431ms ± 0.008ms 3.439ms 3.453ms 3.474ms 3.526ms 2.79% 2.234 12.149 0.40% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2597 execution_time [3.430ms; 3.434ms] or [-0.055%; +0.055%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 186.760ns 190.183ns ± 2.560ns 189.804ns ± 1.593ns 191.404ns 194.836ns 197.897ns 202.825ns 6.86% 1.389 3.059 1.34% 0.181ns 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 [189.828ns; 190.537ns] or [-0.187%; +0.187%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 2.300µs 2.360µs ± 0.016µs 2.365µs ± 0.005µs 2.368µs 2.377µs 2.384µs 2.388µs 0.97% -2.074 4.839 0.66% 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 [-0.091%; +0.091%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 257.030ns 285.171ns ± 35.868ns 267.493ns ± 7.688ns 309.049ns 368.048ns 372.576ns 374.465ns 39.99% 1.356 0.377 12.55% 2.536ns 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 [280.200ns; 290.142ns] or [-1.743%; +1.743%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 10.761ms 10.793ms ± 0.014ms 10.790ms ± 0.007ms 10.801ms 10.817ms 10.843ms 10.870ms 0.74% 1.423 4.465 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 [10.791ms; 10.795ms] or [-0.018%; +0.018%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 734.680µs 736.431µs ± 0.667µs 736.339µs ± 0.353µs 736.732µs 737.565µs 738.288µs 740.364µs 0.55% 1.354 5.415 0.09% 0.047µs 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 [736.339µs; 736.524µs] or [-0.013%; +0.013%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 25.915µs ± 9.118µs 18.995µs ± 0.623µs 33.673µs 40.802µs 50.288µs 71.794µs 277.96% 1.209 2.084 35.10% 0.645µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.651µs; 27.179µs] or [-4.876%; +4.876%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 159.603µs 160.776µs ± 0.311µs 160.734µs ± 0.133µs 160.886µs 161.172µs 161.468µs 163.538µs 1.74% 3.535 30.884 0.19% 0.022µs 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 [160.733µs; 160.819µs] or [-0.027%; +0.027%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 49.049ms 49.407ms ± 1.025ms 49.272ms ± 0.078ms 49.346ms 49.457ms 54.848ms 59.197ms 20.15% 8.093 67.559 2.07% 0.073ms 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 [49.265ms; 49.549ms] or [-0.288%; +0.288%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 185.444µs 186.046µs ± 0.353µs 186.003µs ± 0.197µs 186.193µs 186.603µs 187.435µs 187.654µs 0.89% 1.813 5.086 0.19% 0.025µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5328948.674op/s 5375039.650op/s ± 10152.353op/s 5376268.934op/s ± 5691.488op/s 5382048.229op/s 5386036.274op/s 5390310.381op/s 5392475.125op/s 0.30% -1.792 4.983 0.19% 717.880op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.757µs 17.891µs ± 0.087µs 17.899µs ± 0.042µs 17.927µs 17.988µs 18.052µs 18.672µs 4.32% 3.831 31.905 0.48% 0.006µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 53555331.433op/s 55893798.928op/s ± 266206.121op/s 55868439.922op/s ± 132438.522op/s 56072406.016op/s 56227634.603op/s 56296561.812op/s 56316005.671op/s 0.80% -3.562 28.863 0.48% 18823.615op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 9.809µs 9.849µs ± 0.019µs 9.845µs ± 0.012µs 9.861µs 9.883µs 9.906µs 9.916µs 0.72% 0.773 0.718 0.20% 0.001µs 1 200
normalization/normalize_name/normalize_name/good throughput 100844496.259op/s 101529703.319op/s ± 200522.388op/s 101575380.288op/s ± 121385.470op/s 101665680.547op/s 101790298.613op/s 101928924.596op/s 101948214.941op/s 0.37% -0.760 0.692 0.20% 14179.074op/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 [185.997µs; 186.095µs] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5373632.632op/s; 5376446.668op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.879µs; 17.904µs] or [-0.067%; +0.067%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55856905.320op/s; 55930692.536op/s] or [-0.066%; +0.066%] None None None
normalization/normalize_name/normalize_name/good execution_time [9.847µs; 9.852µs] or [-0.027%; +0.027%] None None None
normalization/normalize_name/normalize_name/good throughput [101501912.845op/s; 101557493.794op/s] or [-0.027%; +0.027%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 9a8fe7d 1771852266 gyuheon0h/package-ruby-v28
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 4.142ms 4.146ms ± 0.007ms 4.146ms ± 0.001ms 4.147ms 4.149ms 4.153ms 4.246ms 2.42% 12.298 162.722 0.18% 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 [4.145ms; 4.148ms] or [-0.025%; +0.025%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Feb 23, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.51 MB 8.51 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 97.20 MB 97.20 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 112.85 MB 112.85 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.12 MB 11.12 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.13 MB 27.13 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 76.26 KB 76.26 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 185.74 MB 185.73 MB -0% (-16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 912.24 MB 912.24 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.93 MB 9.93 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 76.26 KB 76.26 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 24.75 MB 24.75 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.40 MB 51.40 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 22.95 MB 22.95 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.44 KB 77.44 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.07 MB 190.06 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 896.28 MB 896.28 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.53 MB 7.53 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.44 KB 77.44 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 26.50 MB 26.50 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.03 MB 47.03 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 85.25 MB 85.25 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.04 MB 10.04 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 105.87 MB 105.87 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.79 MB 11.79 MB 0% (0 B) 👌

ivoanjo
ivoanjo approved these changes Feb 23, 2026
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👍

@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot merged commit 78f153e into main Feb 23, 2026
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@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot deleted the gyuheon0h/package-ruby-v28 branch February 23, 2026 17:44
@brettlangdon brettlangdon mentioned this pull request Feb 24, 2026
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gh-worker-dd-mergequeue-cf854d bot pushed a commit that referenced this pull request Feb 24, 2026
@brettlangdon
chore(cargo): bump version to v28.0.1 (#1627)
647c8ff 
# What does this PR do?

Bump version to v28.0.1

This includes:

- #1620 
- #1621
- #1625

# Motivation

We want to get #1625 into dd-trace-py.

# Additional Notes

Anything else we should know when reviewing?

# How to test the change?

Describe here in detail how the change can be validated.


Co-authored-by: brett.langdon <[email protected]>
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@gyuheon0h @codecov-commenter @ivoanjo