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chore(build): update reqwest and quinn-proto dependency for dependabot alert#1774

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chore(build): update reqwest and quinn-proto dependency for dependabot alert#1774
gh-worker-dd-mergequeue-cf854d[bot] merged 2 commits intomainfrom
ekump/APMSP-2719-dependabot-update-quinn-proto

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@ekump ekump commented Mar 20, 2026 •
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What does this PR do?

Just bumping reqwest and a transitive dependency on quinn-proto for https://github.com/DataDog/libdatadog/security/dependabot/49

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.

@ekump ekump requested review from a team as code owners March 20, 2026 19:31
@ekump ekump changed the title chore(build): update quinn-proto dependency for dependabot alert chore(build): update reqwest and quinn-proto dependency for dependabot alert Mar 20, 2026
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Benchmarks

Comparison

Benchmark execution time: 2026-03-20 19:44:21

Comparing candidate commit 63fee52 in PR branch ekump/APMSP-2719-dependabot-update-quinn-proto with baseline commit 5d5a596 in branch main.

Found 2 performance improvements and 0 performance regressions! Performance is the same for 57 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 ----------------------------------'

scenario:credit_card/is_card_number/ 378282246310005

  • 🟩 execution_time [-10.325µs; -10.138µs] or [-12.282%; -12.061%]
  • 🟩 throughput [+1633971.751op/s; +1662889.656op/s] or [+13.735%; +13.978%]

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 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 3.430ms 3.472ms ± 0.033ms 3.463ms ± 0.010ms 3.476ms 3.549ms 3.591ms 3.615ms 4.41% 2.132 4.315 0.95% 0.002ms 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 [3.468ms; 3.477ms] or [-0.132%; +0.132%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 238.554ns 250.532ns ± 14.970ns 244.325ns ± 4.777ns 252.968ns 288.132ns 302.424ns 302.900ns 23.97% 1.908 3.071 5.96% 1.059ns 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 [248.457ns; 252.606ns] or [-0.828%; +0.828%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 144.250µs 146.243µs ± 1.632µs 146.011µs ± 0.543µs 146.614µs 147.878µs 152.279µs 161.937µs 10.91% 5.717 46.402 1.11% 0.115µs 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 [146.017µs; 146.470µs] or [-0.155%; +0.155%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 160.179µs 160.718µs ± 0.476µs 160.619µs ± 0.183µs 160.833µs 161.382µs 162.260µs 165.106µs 2.79% 4.603 35.737 0.30% 0.034µs 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 [160.652µs; 160.784µs] or [-0.041%; +0.041%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 17.877µs 25.472µs ± 9.045µs 18.212µs ± 0.157µs 33.435µs 40.631µs 48.509µs 59.330µs 225.77% 0.821 -0.198 35.42% 0.640µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.218µs; 26.726µs] or [-4.921%; +4.921%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 190.009ns 192.407ns ± 2.021ns 192.068ns ± 1.230ns 193.289ns 196.414ns 199.614ns 199.698ns 3.97% 1.273 1.916 1.05% 0.143ns 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 [192.127ns; 192.687ns] or [-0.146%; +0.146%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 4.237ms 4.242ms ± 0.007ms 4.241ms ± 0.001ms 4.243ms 4.247ms 4.280ms 4.287ms 1.09% 4.975 26.246 0.16% 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 [4.241ms; 4.243ms] or [-0.022%; +0.022%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 185.361µs 185.839µs ± 0.251µs 185.797µs ± 0.183µs 186.023µs 186.240µs 186.423µs 186.484µs 0.37% 0.291 -0.755 0.13% 0.018µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5362402.560op/s 5381021.093op/s ± 7255.908op/s 5382212.434op/s ± 5320.196op/s 5386900.130op/s 5391338.565op/s 5393938.447op/s 5394878.830op/s 0.24% -0.287 -0.760 0.13% 513.070op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.918µs 17.979µs ± 0.114µs 17.970µs ± 0.020µs 17.990µs 18.021µs 18.084µs 19.523µs 8.64% 12.547 167.538 0.63% 0.008µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 51221922.639op/s 55621692.868op/s ± 326639.948op/s 55649083.429op/s ± 63074.790op/s 55712066.930op/s 55783969.033op/s 55802909.377op/s 55808700.905op/s 0.29% -12.312 163.279 0.59% 23096.932op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.166µs 10.230µs ± 0.028µs 10.231µs ± 0.020µs 10.248µs 10.276µs 10.293µs 10.313µs 0.81% 0.213 -0.289 0.28% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 96964425.809op/s 97754881.731op/s ± 271364.181op/s 97745087.476op/s ± 188185.189op/s 97958147.775op/s 98182036.862op/s 98282816.976op/s 98365273.482op/s 0.63% -0.199 -0.302 0.28% 19188.345op/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 [185.804µs; 185.873µs] or [-0.019%; +0.019%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5380015.494op/s; 5382026.692op/s] or [-0.019%; +0.019%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.963µs; 17.995µs] or [-0.088%; +0.088%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55576423.713op/s; 55666962.024op/s] or [-0.081%; +0.081%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.226µs; 10.234µs] or [-0.038%; +0.038%] None None None
normalization/normalize_name/normalize_name/good throughput [97717273.266op/s; 97792490.197op/s] or [-0.038%; +0.038%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 13.091ms 13.133ms ± 0.017ms 13.131ms ± 0.010ms 13.143ms 13.164ms 13.181ms 13.204ms 0.56% 0.653 1.355 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 [13.131ms; 13.136ms] or [-0.018%; +0.018%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 737.242µs 738.302µs ± 0.537µs 738.234µs ± 0.360µs 738.641µs 739.298µs 739.719µs 739.817µs 0.21% 0.477 -0.047 0.07% 0.038µs 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 [738.228µs; 738.377µs] or [-0.010%; +0.010%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 1.214µs 3.372µs ± 1.455µs 3.117µs ± 0.034µs 3.162µs 3.797µs 14.227µs 15.120µs 385.06% 7.174 53.343 43.04% 0.103µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.171µs; 3.574µs] or [-5.980%; +5.980%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 3.914µs ± 0.001µs 3.916µs 3.920µs 3.922µs 3.922µs 0.20% -1.128 11.581 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254953227.309op/s 255445466.992op/s ± 183475.840op/s 255462881.249op/s ± 97176.096op/s 255551685.332op/s 255655956.525op/s 255744053.226op/s 256742350.560op/s 0.50% 1.155 11.772 0.07% 12973.701op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.173µs 79.840µs ± 0.395µs 79.813µs ± 0.269µs 80.056µs 80.517µs 80.977µs 81.292µs 1.85% 0.837 0.965 0.49% 0.028µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12301297.435op/s 12525400.420op/s ± 61753.595op/s 12529311.517op/s ± 42084.258op/s 12572920.444op/s 12612896.880op/s 12622594.367op/s 12630639.405op/s 0.81% -0.804 0.872 0.49% 4366.639op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 73.170µs 73.830µs ± 0.377µs 73.743µs ± 0.229µs 74.062µs 74.452µs 74.954µs 75.513µs 2.40% 1.108 1.869 0.51% 0.027µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13242790.299op/s 13545027.514op/s ± 68768.726op/s 13560665.962op/s ± 42078.867op/s 13591394.114op/s 13635249.305op/s 13650177.171op/s 13666882.992op/s 0.78% -1.069 1.715 0.51% 4862.683op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.894µs 3.916µs ± 0.003µs 3.916µs ± 0.002µs 3.918µs 3.921µs 3.922µs 3.923µs 0.18% -1.964 14.290 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254911918.205op/s 255369718.579op/s ± 191870.303op/s 255363597.538op/s ± 119084.525op/s 255485775.836op/s 255614996.088op/s 255702534.824op/s 256814582.485op/s 0.57% 1.992 14.542 0.07% 13567.279op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 69.863µs 70.291µs ± 0.286µs 70.215µs ± 0.175µs 70.465µs 70.789µs 71.035µs 71.744µs 2.18% 1.176 2.528 0.41% 0.020µs 1 200
credit_card/is_card_number/378282246310005 throughput 13938370.374op/s 14226731.157op/s ± 57582.983op/s 14241890.949op/s ± 35632.684op/s 14268106.146op/s 14302463.319op/s 14310568.742op/s 14313699.642op/s 0.50% -1.139 2.327 0.40% 4071.732op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 53.074µs 53.140µs ± 0.032µs 53.139µs ± 0.021µs 53.159µs 53.195µs 53.223µs 53.240µs 0.19% 0.348 0.146 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 18782849.489op/s 18818192.250op/s ± 11170.363op/s 18818568.291op/s ± 7277.634op/s 18826073.775op/s 18836582.409op/s 18840445.333op/s 18841735.701op/s 0.12% -0.345 0.141 0.06% 789.864op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.430µs 6.439µs ± 0.004µs 6.438µs ± 0.003µs 6.441µs 6.446µs 6.451µs 6.461µs 0.34% 0.846 2.320 0.07% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 154786426.605op/s 155314120.170op/s ± 106305.732op/s 155316315.571op/s ± 67361.373op/s 155395664.461op/s 155464317.921op/s 155511710.126op/s 155517088.816op/s 0.13% -0.839 2.287 0.07% 7516.950op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.920µs 3.921µs 3.932µs 0.42% -0.840 15.047 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254335271.624op/s 255404831.998op/s ± 199467.172op/s 255399462.084op/s ± 114054.997op/s 255521604.352op/s 255636480.483op/s 255727167.814op/s 256823953.161op/s 0.56% 0.878 15.206 0.08% 14104.459op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.712µs 65.180µs ± 0.157µs 65.155µs ± 0.091µs 65.264µs 65.444µs 65.687µs 65.896µs 1.14% 0.836 2.315 0.24% 0.011µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15175372.617op/s 15342137.533op/s ± 36990.686op/s 15348105.002op/s ± 21442.612op/s 15366158.342op/s 15389333.579op/s 15425900.632op/s 15452978.993op/s 0.68% -0.810 2.241 0.24% 2615.636op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 58.558µs 58.893µs ± 0.200µs 58.871µs ± 0.143µs 59.016µs 59.258µs 59.372µs 59.627µs 1.28% 0.680 0.227 0.34% 0.014µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 16770805.852op/s 16980041.029op/s ± 57436.281op/s 16986280.266op/s ± 41256.666op/s 17026101.634op/s 17060628.761op/s 17075734.511op/s 17076954.650op/s 0.53% -0.662 0.183 0.34% 4061.358op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.897µs 3.916µs ± 0.003µs 3.916µs ± 0.002µs 3.918µs 3.920µs 3.922µs 3.928µs 0.31% -1.035 8.516 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254566225.628op/s 255360852.337op/s ± 189357.296op/s 255344125.182op/s ± 105113.326op/s 255471559.664op/s 255626601.689op/s 255789088.765op/s 256577522.965op/s 0.48% 1.056 8.621 0.07% 13389.583op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 55.377µs 55.657µs ± 0.190µs 55.619µs ± 0.123µs 55.773µs 56.002µs 56.157µs 56.496µs 1.58% 1.234 2.162 0.34% 0.013µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17700509.155op/s 17967449.285op/s ± 61197.063op/s 17979452.198op/s ± 39615.858op/s 18016887.231op/s 18039281.621op/s 18046607.054op/s 18057969.694op/s 0.44% -1.207 2.041 0.34% 4327.286op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 53.075µs 53.133µs ± 0.033µs 53.130µs ± 0.017µs 53.148µs 53.193µs 53.213µs 53.341µs 0.40% 1.588 7.069 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 18747187.922op/s 18820693.810op/s ± 11698.229op/s 18821761.702op/s ± 5936.163op/s 18827626.603op/s 18837576.134op/s 18840614.252op/s 18841369.427op/s 0.10% -1.576 6.983 0.06% 827.190op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.430µs 6.438µs ± 0.005µs 6.438µs ± 0.003µs 6.441µs 6.445µs 6.448µs 6.471µs 0.51% 1.741 10.721 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 154543243.169op/s 155318912.373op/s ± 111120.332op/s 155326111.392op/s ± 73709.850op/s 155388392.488op/s 155491404.845op/s 155508584.027op/s 155522131.530op/s 0.13% -1.721 10.549 0.07% 7857.394op/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 [3.914µs; 3.915µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255420039.005op/s; 255470894.979op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.785µs; 79.894µs] or [-0.069%; +0.069%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12516841.966op/s; 12533958.874op/s] or [-0.068%; +0.068%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [73.777µs; 73.882µs] or [-0.071%; +0.071%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13535496.830op/s; 13554558.199op/s] or [-0.070%; +0.070%] None None None
credit_card/is_card_number/37828224631 execution_time [3.915µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/37828224631 throughput [255343127.200op/s; 255396309.958op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/378282246310005 execution_time [70.252µs; 70.331µs] or [-0.056%; +0.056%] None None None
credit_card/is_card_number/378282246310005 throughput [14218750.709op/s; 14234711.604op/s] or [-0.056%; +0.056%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [53.136µs; 53.144µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [18816644.145op/s; 18819740.355op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.438µs; 6.439µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 throughput [155299387.218op/s; 155328853.122op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.915µs; 3.916µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255377187.766op/s; 255432476.229op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.159µs; 65.202µs] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15337010.980op/s; 15347264.087op/s] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [58.866µs; 58.921µs] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [16972080.913op/s; 16988001.145op/s] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.916µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255334609.236op/s; 255387095.437op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [55.630µs; 55.683µs] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [17958967.961op/s; 17975930.610op/s] or [-0.047%; +0.047%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [53.128µs; 53.138µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [18819072.548op/s; 18822315.072op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.438µs; 6.439µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [155303512.164op/s; 155334312.582op/s] or [-0.010%; +0.010%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 14.123ms 14.178ms ± 0.029ms 14.174ms ± 0.011ms 14.185ms 14.220ms 14.292ms 14.342ms 1.18% 2.354 8.224 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 [14.174ms; 14.182ms] or [-0.029%; +0.029%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 4.250ms 4.258ms ± 0.010ms 4.257ms ± 0.002ms 4.258ms 4.265ms 4.289ms 4.371ms 2.69% 8.389 88.612 0.23% 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 [4.257ms; 4.259ms] or [-0.032%; +0.032%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 495.163µs 496.290µs ± 0.973µs 496.168µs ± 0.291µs 496.488µs 496.966µs 498.040µs 507.792µs 2.34% 8.676 97.302 0.20% 0.069µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1969309.191op/s 2014960.287op/s ± 3883.276op/s 2015446.381op/s ± 1183.748op/s 2016517.519op/s 2017724.205op/s 2018381.952op/s 2019539.040op/s 0.20% -8.536 94.992 0.19% 274.589op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.488µs 371.306µs ± 0.674µs 371.268µs ± 0.227µs 371.497µs 371.830µs 372.121µs 379.493µs 2.22% 8.992 107.117 0.18% 0.048µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2635091.699op/s 2693204.759op/s ± 4811.493op/s 2693470.209op/s ± 1645.672op/s 2695049.127op/s 2697841.785op/s 2698636.328op/s 2699140.852op/s 0.21% -8.839 104.674 0.18% 340.224op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 168.146µs 168.556µs ± 0.182µs 168.558µs ± 0.131µs 168.694µs 168.872µs 168.951µs 169.042µs 0.29% 0.161 -0.406 0.11% 0.013µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5915702.614op/s 5932741.103op/s ± 6405.958op/s 5932662.078op/s ± 4604.946op/s 5937116.752op/s 5942626.583op/s 5946736.064op/s 5947196.091op/s 0.24% -0.156 -0.407 0.11% 452.970op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 38.306µs 38.449µs ± 0.042µs 38.454µs ± 0.028µs 38.479µs 38.511µs 38.537µs 38.555µs 0.26% -0.400 0.360 0.11% 0.003µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 25936875.894op/s 26008218.222op/s ± 28461.243op/s 26005115.332op/s ± 19070.150op/s 26025964.900op/s 26052766.413op/s 26073386.511op/s 26105796.729op/s 0.39% 0.407 0.370 0.11% 2012.514op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 46.206µs 46.318µs ± 0.064µs 46.309µs ± 0.043µs 46.356µs 46.429µs 46.508µs 46.618µs 0.67% 1.056 1.980 0.14% 0.005µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21450956.540op/s 21589760.695op/s ± 29718.373op/s 21593871.520op/s ± 19850.337op/s 21612870.953op/s 21629986.726op/s 21638059.957op/s 21642351.988op/s 0.22% -1.044 1.929 0.14% 2101.406op/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 [496.155µs; 496.424µs] or [-0.027%; +0.027%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2014422.102op/s; 2015498.472op/s] or [-0.027%; +0.027%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.213µs; 371.399µs] or [-0.025%; +0.025%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2692537.933op/s; 2693871.586op/s] or [-0.025%; +0.025%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.531µs; 168.582µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5931853.299op/s; 5933628.907op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [38.444µs; 38.455µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26004273.767op/s; 26012162.677op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.309µs; 46.327µs] or [-0.019%; +0.019%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21585642.015op/s; 21593879.376op/s] or [-0.019%; +0.019%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 33.927µs 34.536µs ± 1.048µs 34.059µs ± 0.051µs 34.132µs 36.760µs 36.805µs 38.138µs 11.97% 1.726 1.144 3.03% 0.074µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.391µs; 34.682µs] or [-0.421%; +0.421%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 84.627µs 84.901µs ± 0.248µs 84.883µs ± 0.052µs 84.941µs 85.034µs 85.122µs 88.143µs 3.84% 11.250 144.982 0.29% 0.018µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [84.867µs; 84.936µs] or [-0.040%; +0.040%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 5.036µs 5.101µs ± 0.055µs 5.090µs ± 0.036µs 5.133µs 5.206µs 5.210µs 5.210µs 2.37% 0.753 -0.779 1.07% 0.004µs 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 [5.094µs; 5.109µs] or [-0.148%; +0.148%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 2.378µs 2.415µs ± 0.020µs 2.410µs ± 0.005µs 2.416µs 2.471µs 2.485µs 2.491µs 3.37% 2.240 5.231 0.82% 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 [2.412µs; 2.418µs] or [-0.114%; +0.114%] None None None

Group 20

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 63fee52 1774034838 ekump/APMSP-2719-dependabot-update-quinn-proto
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 49.955ms 50.258ms ± 1.064ms 50.100ms ± 0.055ms 50.179ms 50.376ms 54.704ms 63.062ms 25.87% 9.860 107.892 2.11% 0.075ms 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 [50.111ms; 50.406ms] or [-0.294%; +0.294%] None None None

Baseline

Omitted due to size.

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datadog-datadog-prod-us1 bot commented Mar 20, 2026 •
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✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.26% (-0.06%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 63fee52 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!

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codecov-commenter commented Mar 20, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.26%. Comparing base (5d5a596) to head (63fee52).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1774      +/-   ##
==========================================
- Coverage   71.31%   71.26%   -0.06%     
==========================================
  Files         432      432              
  Lines       64846    64839       -7     
==========================================
- Hits        46246    46205      -41     
- Misses      18600    18634      +34
Components Coverage Δ
libdd-crashtracker 64.99% <ø> (+0.12%) ⬆️
libdd-crashtracker-ffi 35.36% <ø> (+0.89%) ⬆️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.84% <ø> (+<0.01%) ⬆️
libdd-data-pipeline-ffi 73.34% <ø> (-1.40%) ⬇️
libdd-common 79.78% <ø> (ø)
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 80.29% <ø> (ø)
libdd-profiling 81.61% <ø> (ø)
libdd-profiling-ffi 64.94% <ø> (ø)
datadog-sidecar 31.22% <ø> (-0.69%) ⬇️
datdog-sidecar-ffi 7.22% <ø> (-3.06%) ⬇️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 92.26% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 89.05% <ø> (-0.03%) ⬇️
datadog-tracer-flare 90.46% <ø> (ø)
libdd-log 74.69% <ø> (ø)
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dd-octo-sts bot commented Mar 20, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.70 MB 8.70 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 101.45 MB 101.43 MB --.01% (-20.52 KB) 💪
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 118.20 MB 118.20 MB +0% (+2.75 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.29 MB 11.29 MB +0% (+360 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.24 MB 27.24 MB -0% (-2.00 KB) 👌
/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 186.49 MB 186.44 MB --.02% (-48.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 918.02 MB 922.07 MB +.44% (+4.04 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.00 MB 8.99 MB --.02% (-2.00 KB) 💪
/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 26.84 MB 26.83 MB --.05% (-16.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 60.83 MB 61.00 MB +.27% (+169.63 KB) 🔍
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.07 MB 23.07 MB +.01% (+2.50 KB) 🔍
/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 190.54 MB 190.63 MB +.04% (+96.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 903.03 MB 905.12 MB +.23% (+2.08 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.86 MB 6.86 MB --.01% (-1.00 KB) 💪
/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 --.02% (-8.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 57.20 MB 57.38 MB +.32% (+190.05 KB) 🔍
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 88.28 MB 88.28 MB +0% (+1.64 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 110.96 MB 110.95 MB -0% (-4.31 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.02 MB 12.02 MB -0% (-240 B) 👌

@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot merged commit 1cd2791 into main Mar 22, 2026
93 checks passed
@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot deleted the ekump/APMSP-2719-dependabot-update-quinn-proto branch March 22, 2026 23:00
@dd-octo-sts dd-octo-sts bot mentioned this pull request Mar 23, 2026
Merged
iunanua added a commit that referenced this pull request Mar 23, 2026
@dd-octo-sts @github-actions @iunanua
chore(release): proposal for libdd-common - TESTING (#1777)
24c055f 
# Release proposal for libdd-common and its dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-common
**Next version:** `3.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-common-v3.0.1`

### Commits

- chore(build): update reqwest and quinn-proto dependency for dependabot
alert (#1774)
- chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: iunanua <[email protected]>
iunanua added a commit that referenced this pull request Mar 23, 2026
@dd-octo-sts @github-actions @iunanua
chore(release): proposal for libdd-common - TESTING (#1777)
25fb18e 
# Release proposal for libdd-common and its dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-common
**Next version:** `3.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-common-v3.0.1`

### Commits

- chore(build): update reqwest and quinn-proto dependency for dependabot
alert (#1774)
- chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: iunanua <[email protected]>
iunanua added a commit that referenced this pull request Mar 23, 2026
@dd-octo-sts @github-actions @iunanua
chore(release): proposal for libdd-common - TESTING - trigger GL again
ac215b8 
This PR contains version bumps based on public API changes and commits
since last release.

**Next version:** `3.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-common-v3.0.1`

- chore(build): update reqwest and quinn-proto dependency for dependabot
alert (#1774)
- chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751)

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: iunanua <[email protected]>
This was referenced Mar 23, 2026
Closed
Merged
paullegranddc pushed a commit that referenced this pull request Mar 23, 2026
@dd-octo-sts
chore(release): proposal for libdd-data-pipeline (#1781)
f467132 
# Release proposal for libdd-data-pipeline and its dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-common
**Next version:** `3.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-common-v3.0.1`

### Commits

- chore(build): update reqwest and quinn-proto dependency for dependabot
alert (#1774)
- chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751)
## libdd-trace-protobuf
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-protobuf-v3.0.0`

### Commits

- fix(trace-stats): rename wrongly cased stats fields (#1780)
- feat(rc)!: add process_tags to remote config Target (#1586)
## libdd-telemetry
**Next version:** `3.1.0`

**Semver bump:** `minor`
**Tag:** `libdd-telemetry-v3.1.0`

### Commits

- refactor(sidecar)!: Refactor tarpc away (#1742)
## libdd-trace-utils
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-utils-v3.0.0`

### Commits

- fix(trace-stats): rename wrongly cased stats fields (#1780)
- refactor(trace-utils)!: change header name type to accept dynamic
values (#1722)
## libdd-data-pipeline
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v3.0.0`

### Commits

- feat(agents)!: retrieve container tags hash from /info endpoint
(#1700)
- refactor(trace-utils)!: change header name type to accept dynamic
values (#1722)

---------

Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>
iunanua pushed a commit that referenced this pull request Mar 24, 2026
@dd-octo-sts @iunanua
chore(release): proposal for libdd-data-pipeline (#1781)
1816bce 
# Release proposal for libdd-data-pipeline and its dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-common
**Next version:** `3.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-common-v3.0.1`

### Commits

- chore(build): update reqwest and quinn-proto dependency for dependabot
alert (#1774)
- chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751)
## libdd-trace-protobuf
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-protobuf-v3.0.0`

### Commits

- fix(trace-stats): rename wrongly cased stats fields (#1780)
- feat(rc)!: add process_tags to remote config Target (#1586)
## libdd-telemetry
**Next version:** `3.1.0`

**Semver bump:** `minor`
**Tag:** `libdd-telemetry-v3.1.0`

### Commits

- refactor(sidecar)!: Refactor tarpc away (#1742)
## libdd-trace-utils
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-utils-v3.0.0`

### Commits

- fix(trace-stats): rename wrongly cased stats fields (#1780)
- refactor(trace-utils)!: change header name type to accept dynamic
values (#1722)
## libdd-data-pipeline
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v3.0.0`

### Commits

- feat(agents)!: retrieve container tags hash from /info endpoint
(#1700)
- refactor(trace-utils)!: change header name type to accept dynamic
values (#1722)

---------

Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>
iunanua pushed a commit that referenced this pull request Mar 24, 2026
@dd-octo-sts @iunanua
chore(release): proposal for libdd-data-pipeline (#1781)
dfc4f08 
# Release proposal for libdd-data-pipeline and its dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-common
**Next version:** `3.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-common-v3.0.1`

### Commits

- chore(build): update reqwest and quinn-proto dependency for dependabot
alert (#1774)
- chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751)
## libdd-trace-protobuf
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-protobuf-v3.0.0`

### Commits

- fix(trace-stats): rename wrongly cased stats fields (#1780)
- feat(rc)!: add process_tags to remote config Target (#1586)
## libdd-telemetry
**Next version:** `3.1.0`

**Semver bump:** `minor`
**Tag:** `libdd-telemetry-v3.1.0`

### Commits

- refactor(sidecar)!: Refactor tarpc away (#1742)
## libdd-trace-utils
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-utils-v3.0.0`

### Commits

- fix(trace-stats): rename wrongly cased stats fields (#1780)
- refactor(trace-utils)!: change header name type to accept dynamic
values (#1722)
## libdd-data-pipeline
**Next version:** `3.0.0`

**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v3.0.0`

### Commits

- feat(agents)!: retrieve container tags hash from /info endpoint
(#1700)
- refactor(trace-utils)!: change header name type to accept dynamic
values (#1722)

---------

Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>
This was referenced Mar 25, 2026
Closed
Closed
Closed
@dd-octo-sts dd-octo-sts bot mentioned this pull request Mar 30, 2026
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