feat(capabilities)!: trait architecture http

[Aaalibaba42]

What does this PR do?

Add capability trait architecture, and few native implementations.

Motivation

Ongoing effort to make libdatadog wasm compatible.

Additional Notes

In the long run, several other parts of the codebase ought to use these capabilities via the provided public structure, so that it can automagically choose the correct underlying implementation when compiling or not to wasm.

How to test the change?

I should add some tests...

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/jwiriath/capability-traits-architecture

Summary by Rule

Rule	Base Branch	PR Branch	Change
expect_used	3	3	No change (0%)
todo	2	2	No change (0%)
unwrap_used	18	18	No change (0%)
Total	23	23	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
datadog-sidecar/src/service/agent_info.rs	4	4	No change (0%)
datadog-sidecar/src/service/tracing/trace_flusher.rs	1	1	No change (0%)
libdd-common/src/lib.rs	3	3	No change (0%)
libdd-data-pipeline/src/stats_exporter.rs	1	1	No change (0%)
libdd-data-pipeline/src/telemetry/mod.rs	1	1	No change (0%)
libdd-data-pipeline/src/trace_exporter/error.rs	1	1	No change (0%)
libdd-data-pipeline/src/trace_exporter/mod.rs	2	2	No change (0%)
libdd-telemetry/src/worker/http_client.rs	3	3	No change (0%)
libdd-trace-utils/src/send_data/mod.rs	5	5	No change (0%)
libdd-trace-utils/src/trace_utils.rs	2	2	No change (0%)

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.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 68.58345% with 224 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.52%. Comparing base (29678bd) to head (8be3832).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1555      +/-   ##
==========================================
+ Coverage   71.27%   71.52%   +0.24%     
==========================================
  Files         423      426       +3     
  Lines       66609    67026     +417     
==========================================
+ Hits        47476    47939     +463     
+ Misses      19133    19087      -46     

Components	Coverage Δ
libdd-crashtracker	65.84% <ø> (+0.61%)	⬆️
libdd-crashtracker-ffi	34.09% <ø> (-0.39%)	⬇️
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	86.45% <75.18%> (-0.60%)	⬇️
libdd-data-pipeline-ffi	73.71% <ø> (+0.80%)	⬆️
libdd-common	79.70% <51.66%> (-0.49%)	⬇️
libdd-common-ffi	73.87% <ø> (ø)
libdd-telemetry	62.48% <0.00%> (ø)
libdd-telemetry-ffi	16.75% <ø> (ø)
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	72.56% <ø> (+2.24%)	⬆️
libdd-profiling	82.04% <ø> (+0.41%)	⬆️
libdd-profiling-ffi	64.94% <ø> (ø)
datadog-sidecar	31.35% <80.00%> (+1.17%)	⬆️
datdog-sidecar-ffi	11.84% <ø> (+5.32%)	⬆️
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	87.24% <ø> (ø)
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	88.73% <69.23%> (+<0.01%)	⬆️
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.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.76 MB	8.76 MB	+0% (+24 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.93 MB	101.95 MB	+.02% (+28.61 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.83 MB	118.86 MB	+.02% (+25.93 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.36 MB	11.36 MB	-0% (-840 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.38 MB	27.39 MB	+.02% (+7.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	80.69 KB	80.69 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	187.11 MB	187.69 MB	+.31% (+600.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	925.19 MB	923.66 MB	--.16% (-1.53 MB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.06 MB	9.06 MB	--.06% (-6.50 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	80.69 KB	80.69 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	26.99 MB	26.98 MB	--.02% (-8.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.30 MB	61.29 MB	--.01% (-9.59 KB) 💪

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.24 MB	23.23 MB	--.02% (-6.00 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	81.94 KB	81.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	191.65 MB	192.16 MB	+.26% (+520.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	910.20 MB	908.86 MB	--.14% (-1.34 MB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.90 MB	6.90 MB	--.07% (-5.00 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	81.94 KB	81.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	29.11 MB	29.10 MB	--.02% (-8.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.67 MB	57.66 MB	--.01% (-6.37 KB) 💪

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.77 MB	88.80 MB	+.04% (+36.46 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.32 MB	10.32 MB	--.03% (-3.97 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	111.54 MB	111.57 MB	+.02% (+28.53 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.07 MB	12.07 MB	-0% (-552 B) 👌

[datadog-official]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 68.58%
• Overall Coverage: 71.52% (+0.10%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 8be3832 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-30 22:59:17

Comparing candidate commit 5a95934 in PR branch jwiriath/capability-traits-architecture with baseline commit 15860bb in branch main.

Found 0 performance improvements and 14 performance regressions! Performance is the same for 48 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 [+5.458µs; +5.567µs] or [+8.068%; +8.229%]
• 🟥 throughput [-1123535.639op/s; -1103016.650op/s] or [-7.601%; -7.463%]

scenario:credit_card/is_card_number/378282246310005

• 🟥 execution_time [+4.992µs; +5.088µs] or [+7.712%; +7.859%]
• 🟥 throughput [-1125308.192op/s; -1105625.528op/s] or [-7.285%; -7.157%]

scenario:credit_card/is_card_number/37828224631000521389798

• 🟥 execution_time [+7.327µs; +7.360µs] or [+16.279%; +16.353%]
• 🟥 throughput [-3124423.430op/s; -3108817.652op/s] or [-14.063%; -13.993%]

scenario:credit_card/is_card_number_no_luhn/ 3782-8224-6310-005

• 🟥 execution_time [+3.835µs; +3.964µs] or [+6.342%; +6.556%]
• 🟥 throughput [-1019663.962op/s; -985379.455op/s] or [-6.165%; -5.958%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟥 execution_time [+4.295µs; +4.354µs] or [+7.993%; +8.103%]
• 🟥 throughput [-1395262.227op/s; -1377003.600op/s] or [-7.497%; -7.399%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

• 🟥 execution_time [+4.591µs; +4.665µs] or [+9.127%; +9.274%]
• 🟥 throughput [-1686874.627op/s; -1662190.464op/s] or [-8.486%; -8.361%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

• 🟥 execution_time [+7.305µs; +7.333µs] or [+16.226%; +16.287%]
• 🟥 throughput [-3112288.411op/s; -3099388.334op/s] or [-14.013%; -13.954%]

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	5a95934	1774910513	jwiriath/capability-traits-architecture

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	160.594µs	161.880µs ± 0.259µs	161.873µs ± 0.157µs	162.045µs	162.313µs	162.548µs	162.662µs	0.49%	-0.262	2.681	0.16%	0.018µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[161.844µs; 161.916µs] or [-0.022%; +0.022%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	206.099µs	206.813µs ± 0.448µs	206.751µs ± 0.306µs	207.073µs	207.675µs	208.148µs	208.579µs	0.88%	0.929	1.050	0.22%	0.032µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4794357.689op/s	4835302.297op/s ± 10447.006op/s	4836726.494op/s ± 7153.301op/s	4843433.556op/s	4848142.835op/s	4851074.326op/s	4852042.218op/s	0.32%	-0.915	1.002	0.22%	738.715op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.561µs	18.664µs ± 0.058µs	18.662µs ± 0.035µs	18.697µs	18.744µs	18.860µs	18.864µs	1.08%	0.921	1.965	0.31%	0.004µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53010240.410op/s	53580094.979op/s ± 166138.041op/s	53583449.980op/s ± 100521.569op/s	53689278.081op/s	53837166.597op/s	53871847.522op/s	53875398.986op/s	0.54%	-0.892	1.886	0.31%	11747.734op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.591µs	10.848µs ± 0.072µs	10.844µs ± 0.046µs	10.894µs	10.968µs	11.028µs	11.047µs	1.87%	-0.075	0.878	0.66%	0.005µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90520687.432op/s	92187331.608op/s ± 614063.315op/s	92217445.993op/s ± 391805.530op/s	92567664.576op/s	93127818.981op/s	93949057.672op/s	94420743.156op/s	2.39%	0.133	0.947	0.66%	43420.833op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[206.751µs; 206.875µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4833854.442op/s; 4836750.151op/s] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.656µs; 18.672µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53557069.844op/s; 53603120.114op/s] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.838µs; 10.858µs] or [-0.092%; +0.092%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92102228.339op/s; 92272434.878op/s] or [-0.092%; +0.092%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	254.981ns	263.286ns ± 12.406ns	257.872ns ± 1.455ns	260.966ns	290.038ns	310.490ns	313.120ns	21.42%	2.397	5.141	4.70%	0.877ns	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	[261.567ns; 265.006ns] or [-0.653%; +0.653%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	50.747ms	51.074ms ± 1.138ms	50.918ms ± 0.045ms	50.977ms	51.123ms	56.011ms	63.401ms	24.52%	8.872	83.389	2.22%	0.081ms	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	[50.916ms; 51.231ms] or [-0.309%; +0.309%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	4.189ms	4.194ms ± 0.003ms	4.194ms ± 0.001ms	4.196ms	4.199ms	4.202ms	4.211ms	0.41%	1.634	7.242	0.06%	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	[4.194ms; 4.195ms] or [-0.009%; +0.009%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	3.402ms	3.437ms ± 0.025ms	3.430ms ± 0.012ms	3.445ms	3.488ms	3.507ms	3.515ms	2.47%	1.170	0.644	0.72%	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	[3.434ms; 3.440ms] or [-0.101%; +0.101%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	534.659µs	535.869µs ± 0.966µs	535.696µs ± 0.458µs	536.270µs	536.983µs	538.661µs	544.794µs	1.70%	4.554	36.190	0.18%	0.068µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1835557.381op/s	1866133.180op/s ± 3338.106op/s	1866731.307op/s ± 1595.384op/s	1868088.810op/s	1869324.734op/s	1869929.193op/s	1870351.832op/s	0.19%	-4.462	35.025	0.18%	236.040op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.258µs	381.049µs ± 0.398µs	380.970µs ± 0.247µs	381.295µs	381.791µs	382.112µs	382.569µs	0.42%	0.770	0.519	0.10%	0.028µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2613910.230op/s	2624339.028op/s ± 2738.878op/s	2624879.049op/s ± 1699.741op/s	2626233.630op/s	2628271.190op/s	2628777.528op/s	2629794.659op/s	0.19%	-0.764	0.504	0.10%	193.668op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.788µs	190.364µs ± 0.343µs	190.296µs ± 0.209µs	190.551µs	191.009µs	191.319µs	191.702µs	0.74%	1.020	1.362	0.18%	0.024µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5216423.387op/s	5253114.091op/s ± 9439.765op/s	5254973.332op/s ± 5770.111op/s	5260110.084op/s	5265127.060op/s	5268863.370op/s	5269049.844op/s	0.27%	-1.007	1.322	0.18%	667.492op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.800µs	37.894µs ± 0.057µs	37.887µs ± 0.033µs	37.921µs	37.998µs	38.039µs	38.202µs	0.83%	1.500	4.272	0.15%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26176590.729op/s	26389402.965op/s ± 39302.528op/s	26394457.101op/s ± 23023.545op/s	26417126.588op/s	26432638.943op/s	26449224.226op/s	26455022.264op/s	0.23%	-1.482	4.165	0.15%	2779.108op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.810µs	45.953µs ± 0.082µs	45.930µs ± 0.051µs	46.001µs	46.091µs	46.153µs	46.322µs	0.85%	1.185	2.244	0.18%	0.006µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21587796.189op/s	21761584.660op/s ± 38694.016op/s	21772305.008op/s ± 24179.823op/s	21789386.112op/s	21807676.340op/s	21817982.767op/s	21829330.399op/s	0.26%	-1.170	2.173	0.18%	2736.080op/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	[535.735µs; 536.003µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1865670.550op/s; 1866595.809op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.994µs; 381.104µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2623959.446op/s; 2624718.610op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.316µs; 190.411µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5251805.831op/s; 5254422.352op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.886µs; 37.902µs] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26383956.013op/s; 26394849.918op/s] or [-0.021%; +0.021%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.941µs; 45.964µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21756222.041op/s; 21766947.278op/s] or [-0.025%; +0.025%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	292.667µs	293.700µs ± 0.571µs	293.648µs ± 0.196µs	293.846µs	294.212µs	295.569µs	298.399µs	1.62%	4.871	34.546	0.19%	0.040µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[293.621µs; 293.779µs] or [-0.027%; +0.027%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	5.256µs	5.438µs ± 0.036µs	5.437µs ± 0.024µs	5.462µs	5.487µs	5.519µs	5.576µs	2.54%	-0.311	2.781	0.67%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.433µs; 5.443µs] or [-0.093%; +0.093%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	4.939µs	5.010µs ± 0.044µs	5.013µs ± 0.052µs	5.036µs	5.072µs	5.075µs	5.077µs	1.28%	-0.027	-1.282	0.87%	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	[5.004µs; 5.016µs] or [-0.120%; +0.120%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	901.145µs	904.856µs ± 2.731µs	904.412µs ± 1.062µs	905.494µs	908.250µs	912.887µs	928.306µs	2.64%	4.695	33.638	0.30%	0.193µs	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	[904.478µs; 905.235µs] or [-0.042%; +0.042%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	14.909µs	15.459µs ± 0.269µs	15.458µs ± 0.162µs	15.621µs	15.881µs	16.341µs	16.486µs	6.65%	0.549	1.329	1.73%	0.019µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.422µs; 15.497µs] or [-0.241%; +0.241%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	735.309µs	736.432µs ± 0.549µs	736.347µs ± 0.250µs	736.658µs	737.532µs	738.293µs	738.860µs	0.34%	1.341	3.147	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	[736.356µs; 736.508µs] or [-0.010%; +0.010%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	14.882ms	14.915ms ± 0.020ms	14.912ms ± 0.011ms	14.924ms	14.951ms	14.968ms	15.010ms	0.66%	1.130	2.392	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	[14.912ms; 14.918ms] or [-0.018%; +0.018%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	144.576µs	146.799µs ± 1.894µs	146.443µs ± 0.480µs	147.014µs	148.865µs	154.322µs	165.232µs	12.83%	5.969	48.604	1.29%	0.134µs	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	[146.537µs; 147.062µs] or [-0.179%; +0.179%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	190.128ns	192.912ns ± 2.054ns	192.761ns ± 1.431ns	193.905ns	196.698ns	198.322ns	200.243ns	3.88%	0.855	0.564	1.06%	0.145ns	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	[192.627ns; 193.197ns] or [-0.148%; +0.148%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	14.198ms	14.267ms ± 0.030ms	14.264ms ± 0.015ms	14.279ms	14.305ms	14.414ms	14.432ms	1.17%	2.368	9.962	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	[14.262ms; 14.271ms] or [-0.029%; +0.029%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	4.203ms	4.209ms ± 0.009ms	4.208ms ± 0.001ms	4.209ms	4.213ms	4.216ms	4.329ms	2.88%	12.262	161.191	0.21%	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	[4.208ms; 4.210ms] or [-0.029%; +0.029%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	2.299µs	2.379µs ± 0.020µs	2.383µs ± 0.005µs	2.390µs	2.397µs	2.402µs	2.403µs	0.83%	-2.497	6.247	0.85%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.376µs; 2.382µs] or [-0.118%; +0.118%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	34.017µs	34.544µs ± 0.939µs	34.099µs ± 0.037µs	34.227µs	36.539µs	36.598µs	37.793µs	10.83%	1.719	1.141	2.71%	0.066µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.414µs; 34.675µs] or [-0.377%; +0.377%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	5a95934	1774910513	jwiriath/capability-traits-architecture

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	3.917µs ± 0.004µs	3.917µs ± 0.002µs	3.919µs	3.924µs	3.929µs	3.930µs	0.35%	-0.060	4.355	0.10%	0.000µs	1	200
credit_card/is_card_number/	throughput	254421368.207op/s	255299965.170op/s ± 259201.761op/s	255318668.245op/s ± 160874.131op/s	255467053.750op/s	255620328.113op/s	255707838.651op/s	256717061.211op/s	0.55%	0.079	4.426	0.10%	18328.332op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.179µs	79.750µs ± 0.320µs	79.693µs ± 0.225µs	79.977µs	80.384µs	80.595µs	80.655µs	1.21%	0.535	-0.307	0.40%	0.023µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12398478.844op/s	12539406.238op/s ± 50254.588op/s	12548183.534op/s ± 35437.634op/s	12578153.989op/s	12610286.275op/s	12622659.401op/s	12629564.548op/s	0.65%	-0.518	-0.332	0.40%	3553.536op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.500µs	73.169µs ± 0.379µs	73.110µs ± 0.232µs	73.364µs	73.821µs	74.310µs	74.616µs	2.06%	0.939	1.215	0.52%	0.027µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13401942.147op/s	13667260.843op/s ± 70438.995op/s	13677988.029op/s ± 43409.810op/s	13720330.446op/s	13762682.709op/s	13789272.593op/s	13793065.954op/s	0.84%	-0.903	1.111	0.51%	4980.789op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.916µs ± 0.004µs	3.915µs ± 0.002µs	3.918µs	3.922µs	3.925µs	3.930µs	0.39%	-0.134	4.290	0.10%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254470267.431op/s	255383358.687op/s ± 247958.113op/s	255451064.768op/s ± 147743.378op/s	255564922.434op/s	255660894.276op/s	255694650.576op/s	256766227.419op/s	0.51%	0.152	4.368	0.10%	17533.286op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.190µs	69.775µs ± 0.337µs	69.712µs ± 0.218µs	69.958µs	70.401µs	70.730µs	71.059µs	1.93%	0.873	0.697	0.48%	0.024µs	1	200
credit_card/is_card_number/378282246310005	throughput	14072860.869op/s	14332188.602op/s ± 68926.393op/s	14344792.631op/s ± 44835.124op/s	14385055.726op/s	14418979.348op/s	14441445.165op/s	14452955.629op/s	0.75%	-0.845	0.615	0.48%	4873.832op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.256µs	52.353µs ± 0.054µs	52.347µs ± 0.037µs	52.385µs	52.461µs	52.490µs	52.515µs	0.32%	0.636	-0.021	0.10%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19042261.522op/s	19101057.308op/s ± 19579.641op/s	19103399.838op/s ± 13579.809op/s	19115648.379op/s	19127605.742op/s	19133220.069op/s	19136581.369op/s	0.17%	-0.631	-0.030	0.10%	1384.490op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.706µs	5.792µs ± 0.066µs	5.779µs ± 0.051µs	5.839µs	5.909µs	5.964µs	6.003µs	3.89%	0.621	-0.322	1.14%	0.005µs	1	200
credit_card/is_card_number/x371413321323331	throughput	166573799.931op/s	172686987.529op/s ± 1965579.709op/s	173046962.141op/s ± 1520808.336op/s	174247707.435op/s	175184443.293op/s	175208953.621op/s	175264008.479op/s	1.28%	-0.578	-0.416	1.14%	138987.474op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.897µs	3.916µs ± 0.004µs	3.915µs ± 0.003µs	3.919µs	3.923µs	3.927µs	3.934µs	0.48%	0.441	2.943	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254195064.555op/s	255351135.765op/s ± 277757.472op/s	255406602.348op/s ± 183300.951op/s	255558132.984op/s	255664902.081op/s	255727152.513op/s	256637815.512op/s	0.48%	-0.426	2.956	0.11%	19640.419op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	63.862µs	64.366µs ± 0.219µs	64.361µs ± 0.155µs	64.519µs	64.706µs	64.847µs	65.091µs	1.13%	0.110	-0.166	0.34%	0.015µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15363113.087op/s	15536426.953op/s ± 52784.428op/s	15537474.873op/s ± 37324.516op/s	15572245.198op/s	15618755.080op/s	15648199.809op/s	15658724.916op/s	0.78%	-0.092	-0.183	0.34%	3732.423op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.469µs	58.058µs ± 0.182µs	58.028µs ± 0.094µs	58.142µs	58.402µs	58.587µs	58.751µs	1.25%	0.796	1.938	0.31%	0.013µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17021037.116op/s	17224432.741op/s ± 54009.049op/s	17233014.414op/s ± 28016.064op/s	17258147.268op/s	17292016.536op/s	17348196.621op/s	17400669.835op/s	0.97%	-0.765	1.899	0.31%	3819.016op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.916µs ± 0.004µs	3.915µs ± 0.003µs	3.918µs	3.923µs	3.928µs	3.933µs	0.44%	0.343	3.861	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254283026.862op/s	255365124.228op/s ± 271918.139op/s	255396500.581op/s ± 171659.240op/s	255558260.898op/s	255695248.894op/s	255729697.951op/s	256725427.483op/s	0.52%	-0.325	3.894	0.11%	19227.516op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.566µs	54.931µs ± 0.257µs	54.868µs ± 0.131µs	55.044µs	55.457µs	55.690µs	56.318µs	2.64%	1.900	5.228	0.47%	0.018µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17756189.373op/s	18204946.160op/s ± 84489.311op/s	18225473.767op/s ± 43698.802op/s	18263553.972op/s	18292359.222op/s	18300526.953op/s	18326389.780op/s	0.55%	-1.850	4.920	0.46%	5974.296op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.252µs	52.343µs ± 0.051µs	52.332µs ± 0.036µs	52.381µs	52.427µs	52.474µs	52.509µs	0.34%	0.556	-0.345	0.10%	0.004µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19044195.627op/s	19104950.631op/s ± 18624.141op/s	19108828.912op/s ± 13280.232op/s	19119632.537op/s	19129703.982op/s	19135588.709op/s	19138067.300op/s	0.15%	-0.552	-0.352	0.10%	1316.926op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.703µs	5.795µs ± 0.070µs	5.780µs ± 0.042µs	5.834µs	5.930µs	6.007µs	6.039µs	4.48%	0.900	0.600	1.20%	0.005µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	165598036.827op/s	172591877.527op/s ± 2052633.143op/s	173023219.486op/s ± 1261107.837op/s	174151998.204op/s	175192328.891op/s	175300606.514op/s	175336632.079op/s	1.34%	-0.837	0.428	1.19%	145143.081op/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	[3.916µs; 3.918µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/	throughput	[255264042.299op/s; 255335888.041op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.705µs; 79.794µs] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12532441.436op/s; 12546371.041op/s] or [-0.056%; +0.056%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.117µs; 73.222µs] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13657498.676op/s; 13677023.011op/s] or [-0.071%; +0.071%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255348994.077op/s; 255417723.297op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.728µs; 69.821µs] or [-0.067%; +0.067%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14322636.066op/s; 14341741.137op/s] or [-0.067%; +0.067%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.346µs; 52.361µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19098343.758op/s; 19103770.858op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.782µs; 5.801µs] or [-0.159%; +0.159%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[172414577.086op/s; 172959397.973op/s] or [-0.158%; +0.158%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.916µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255312641.251op/s; 255389630.280op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.335µs; 64.396µs] or [-0.047%; +0.047%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15529111.539op/s; 15543742.367op/s] or [-0.047%; +0.047%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.032µs; 58.083µs] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17216947.606op/s; 17231917.875op/s] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.915µs; 3.917µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255327438.990op/s; 255402809.467op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.896µs; 54.967µs] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18193236.754op/s; 18216655.566op/s] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.335µs; 52.350µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19102369.504op/s; 19107531.758op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.785µs; 5.804µs] or [-0.167%; +0.167%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[172307402.315op/s; 172876352.740op/s] or [-0.165%; +0.165%]	None	None	None

Baseline

Omitted due to size.

[VianneyRuhlmann]

LGTM just a few nits

[VianneyRuhlmann]

Out of curiosity, was this used somewhere or an unused feature ?

[Aaalibaba42]

I think github diff is broken (?), 8fd755e added the feature back when not on wasm32, and https://github.com/DataDog/libdatadog/blob/jwiriath/capability-traits-architecture/libdd-trace-utils/Cargo.toml#L61 shows the thing correctly

[bantonsson]

Looks good. Only one comment.

[bantonsson]

And the reason that we don't wrap this in newtype with trait implementations is? Won't this be more of a breaking change than needed when new traits are added.

[Aaalibaba42]

I thought it was a less violent transition in the meantime, but I agree it's just a little more confusing and will have seemed weird looking back when we change this later.

[Aaalibaba42]

/merge

[gh-worker-devflow-routing-ef8351]

View all feedbacks in Devflow UI.

2026-03-31 15:03:19 UTC ℹ️ Start processing command /merge

---

2026-03-31 15:03:25 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 45m (p90).

---

2026-03-31 15:25:16 UTC ℹ️ MergeQueue: Readding this merge request to the queue because another merge request processed with yours failed. No action is needed from your side.

---

2026-03-31 16:06:25 UTC ℹ️ MergeQueue: This merge request was merged