feat(capabilities): trait architecture http draft

[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]

📚 Documentation Check Results

⚠️ 2137 documentation warning(s) found

📦 libdd-capabilities - 9 warning(s)

📦 libdd-capabilities-impl - 174 warning(s)

📦 libdd-common - 173 warning(s)

📦 libdd-data-pipeline - 804 warning(s)

📦 libdd-telemetry - 485 warning(s)

📦 libdd-trace-utils - 492 warning(s)

---

Updated: 2026-03-26 17:01:25 UTC | Commit: e5b7913 | missing-docs job results

[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.

[github-actions]

🔒 Cargo Deny Results

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

📦 libdd-capabilities - ✅ No issues

📦 libdd-capabilities-impl - ✅ No issues

📦 libdd-common - ✅ No issues

📦 libdd-data-pipeline - 1 error(s)

Show output

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:285:1
    │
285 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0
              └── (dev) libdd-data-pipeline v3.0.0

advisories FAILED, bans ok, sources ok

📦 libdd-telemetry - ✅ No issues

📦 libdd-trace-utils - ✅ No issues

---

Updated: 2026-03-26 17:01:32 UTC | Commit: e5b7913 | dependency-check job results

[codecov-commenter]

Codecov Report

❌ Patch coverage is 67.70833% with 217 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.00%. Comparing base (e8f9d68) to head (e2ab00a).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1555      +/-   ##
==========================================
- Coverage   71.10%   71.00%   -0.11%     
==========================================
  Files         411      412       +1     
  Lines       64989    64995       +6     
==========================================
- Hits        46209    46147      -62     
- Misses      18780    18848      +68     

Components	Coverage Δ
libdd-crashtracker	65.36% <ø> (+0.07%)	⬆️
libdd-crashtracker-ffi	35.75% <ø> (+0.76%)	⬆️
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	87.60% <74.79%> (-0.03%)	⬇️
libdd-data-pipeline-ffi	78.92% <0.00%> (+5.47%)	⬆️
libdd-common	79.22% <44.73%> (-0.57%)	⬇️
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> (ø)
libdd-profiling	81.62% <ø> (+0.03%)	⬆️
libdd-profiling-ffi	64.94% <ø> (ø)
datadog-sidecar	30.90% <80.00%> (-0.74%)	⬇️
datdog-sidecar-ffi	9.74% <ø> (-3.60%)	⬇️
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	87.37% <ø> (ø)
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	88.96% <70.24%> (+<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.a	101.45 MB	101.50 MB	+.04% (+47.14 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	+0% (+24 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.29 MB	11.29 MB	-0% (-544 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.24 MB	118.28 MB	+.03% (+41.18 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.26 MB	27.27 MB	+.02% (+6.50 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	186.53 MB	187.17 MB	+.34% (+656.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	921.92 MB	921.10 MB	--.08% (-840.79 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.00 MB	8.99 MB	--.07% (-6.50 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	26.83 MB	26.83 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.01 MB	61.00 MB	-0% (-3.61 KB) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.08 MB	23.07 MB	--.02% (-5.00 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	190.75 MB	191.32 MB	+.29% (+584.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	905.45 MB	904.61 MB	--.09% (-863.27 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.86 MB	6.85 MB	--.04% (-3.00 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	57.39 MB	57.39 MB	-0% (-1.25 KB) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.31 MB	88.36 MB	+.05% (+52.39 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.28 MB	10.28 MB	+0% (+24 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	110.98 MB	111.03 MB	+.04% (+47.85 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.02 MB	12.02 MB	+0% (+136 B) 👌

[datadog-official]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: d743927 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-27 13:23:29

Comparing candidate commit d743927 in PR branch jwiriath/capability-traits-architecture with baseline commit a29b90b in branch main.

Found 12 performance improvements and 5 performance regressions! Performance is the same for 45 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 [-4.973µs; -4.871µs] or [-6.820%; -6.679%]
• 🟩 throughput [+982502.669op/s; +1002016.367op/s] or [+7.165%; +7.307%]

scenario:credit_card/is_card_number/378282246310005

• 🟩 execution_time [-4.920µs; -4.842µs] or [-7.063%; -6.951%]
• 🟩 throughput [+1073404.308op/s; +1089763.184op/s] or [+7.477%; +7.591%]

scenario:credit_card/is_card_number/37828224631000521389798

• 🟩 execution_time [-6.649µs; -6.621µs] or [-12.712%; -12.659%]
• 🟩 throughput [+2771160.752op/s; +2784108.912op/s] or [+14.495%; +14.562%]

scenario:credit_card/is_card_number/x371413321323331

• 🟥 execution_time [+618.764ns; +634.317ns] or [+10.652%; +10.920%]
• 🟥 throughput [-17006749.517op/s; -16547043.992op/s] or [-9.878%; -9.611%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟩 execution_time [-4.184µs; -4.129µs] or [-7.207%; -7.113%]
• 🟩 throughput [+1319745.331op/s; +1336951.833op/s] or [+7.662%; +7.762%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

• 🟩 execution_time [-4.639µs; -4.562µs] or [-8.439%; -8.299%]
• 🟩 throughput [+1648353.316op/s; +1674128.455op/s] or [+9.061%; +9.202%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

• 🟩 execution_time [-6.655µs; -6.625µs] or [-12.724%; -12.666%]
• 🟩 throughput [+2773229.586op/s; +2787409.907op/s] or [+14.505%; +14.579%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

• 🟥 execution_time [+601.658ns; +618.208ns] or [+10.329%; +10.613%]
• 🟥 throughput [-16534763.762op/s; -16047425.145op/s] or [-9.630%; -9.346%]

scenario:sql/obfuscate_sql_string

• 🟥 execution_time [+22.706µs; +22.916µs] or [+7.813%; +7.885%]

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	d743927	1774616738	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	15.051ms	15.089ms ± 0.017ms	15.089ms ± 0.010ms	15.098ms	15.118ms	15.133ms	15.152ms	0.42%	0.531	0.910	0.11%	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	[15.086ms; 15.091ms] or [-0.015%; +0.015%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	4.180ms	4.185ms ± 0.008ms	4.184ms ± 0.001ms	4.185ms	4.188ms	4.193ms	4.289ms	2.51%	11.900	154.267	0.19%	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	[4.184ms; 4.186ms] or [-0.026%; +0.026%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	3.573ms	3.608ms ± 0.019ms	3.604ms ± 0.010ms	3.616ms	3.642ms	3.682ms	3.706ms	2.83%	1.733	5.092	0.53%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2598	execution_time	[3.605ms; 3.610ms] or [-0.073%; +0.073%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	161.460µs	162.453µs ± 0.355µs	162.387µs ± 0.175µs	162.588µs	162.946µs	163.671µs	164.960µs	1.58%	2.734	15.129	0.22%	0.025µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[162.404µs; 162.503µs] or [-0.030%; +0.030%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	5.522µs	5.628µs ± 0.038µs	5.629µs ± 0.028µs	5.659µs	5.685µs	5.696µs	5.697µs	1.22%	-0.203	-0.762	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	[5.623µs; 5.633µs] or [-0.093%; +0.093%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	190.847ns	193.451ns ± 2.159ns	193.075ns ± 1.316ns	194.433ns	197.247ns	199.004ns	205.336ns	6.35%	1.373	3.774	1.11%	0.153ns	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	[193.152ns; 193.750ns] or [-0.155%; +0.155%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	495.393µs	496.178µs ± 0.533µs	496.108µs ± 0.265µs	496.379µs	496.818µs	498.472µs	500.064µs	0.80%	3.109	16.975	0.11%	0.038µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1999742.700op/s	2015409.440op/s ± 2156.320op/s	2015688.326op/s ± 1076.479op/s	2016735.205op/s	2017822.971op/s	2018220.891op/s	2018600.280op/s	0.14%	-3.079	16.709	0.11%	152.475op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.520µs	371.215µs ± 0.324µs	371.182µs ± 0.213µs	371.420µs	371.707µs	371.944µs	373.165µs	0.53%	1.084	5.511	0.09%	0.023µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2679778.473op/s	2693855.553op/s ± 2351.947op/s	2694093.475op/s ± 1547.304op/s	2695247.935op/s	2697258.299op/s	2698662.596op/s	2698909.324op/s	0.18%	-1.068	5.408	0.09%	166.308op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.405µs	168.725µs ± 0.152µs	168.715µs ± 0.098µs	168.813µs	168.994µs	169.090µs	169.372µs	0.39%	0.571	1.057	0.09%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5904158.752op/s	5926800.978op/s ± 5345.678op/s	5927166.700op/s ± 3449.438op/s	5930587.644op/s	5935079.304op/s	5937106.300op/s	5938049.572op/s	0.18%	-0.563	1.036	0.09%	377.997op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.843µs	37.061µs ± 0.111µs	37.070µs ± 0.080µs	37.144µs	37.220µs	37.265µs	37.311µs	0.65%	-0.212	-0.918	0.30%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26801424.873op/s	26983089.576op/s ± 80831.422op/s	26976239.776op/s ± 58423.632op/s	27041694.923op/s	27117044.292op/s	27129646.417op/s	27142290.614op/s	0.62%	0.221	-0.919	0.30%	5715.645op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.366µs	46.533µs ± 0.130µs	46.525µs ± 0.050µs	46.569µs	46.651µs	46.705µs	48.048µs	3.27%	7.996	90.502	0.28%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20812689.265op/s	21490364.806op/s ± 58739.881op/s	21493707.598op/s ± 23111.165op/s	21518023.647op/s	21546974.622op/s	21560030.288op/s	21567760.512op/s	0.34%	-7.759	86.845	0.27%	4153.537op/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	[496.104µs; 496.251µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2015110.595op/s; 2015708.285op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.170µs; 371.260µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2693529.596op/s; 2694181.510op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.704µs; 168.746µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5926060.118op/s; 5927541.837op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.045µs; 37.076µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26971887.118op/s; 26994292.033op/s] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.515µs; 46.551µs] or [-0.039%; +0.039%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21482224.023op/s; 21498505.589op/s] or [-0.038%; +0.038%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	5.073µs	5.139µs ± 0.043µs	5.147µs ± 0.038µs	5.171µs	5.201µs	5.206µs	5.208µs	1.19%	-0.128	-1.353	0.83%	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	[5.133µs; 5.145µs] or [-0.115%; +0.115%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	4.202ms	4.207ms ± 0.003ms	4.206ms ± 0.001ms	4.207ms	4.212ms	4.214ms	4.221ms	0.36%	1.906	6.171	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	[4.206ms; 4.207ms] or [-0.008%; +0.008%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	242.794ns	254.882ns ± 13.832ns	248.886ns ± 4.065ns	255.859ns	286.020ns	288.066ns	290.052ns	16.54%	1.445	0.549	5.41%	0.978ns	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	[252.965ns; 256.799ns] or [-0.752%; +0.752%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	185.574µs	186.062µs ± 0.231µs	186.026µs ± 0.172µs	186.240µs	186.464µs	186.576µs	186.643µs	0.33%	0.266	-0.603	0.12%	0.016µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5357827.894op/s	5374548.908op/s ± 6670.453op/s	5375591.585op/s ± 4961.733op/s	5379608.547op/s	5383791.266op/s	5386932.177op/s	5388684.463op/s	0.24%	-0.261	-0.606	0.12%	471.672op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.810µs	17.890µs ± 0.048µs	17.884µs ± 0.019µs	17.907µs	17.944µs	17.966µs	18.428µs	3.05%	7.052	76.068	0.27%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54264060.776op/s	55896444.827op/s ± 147731.870op/s	55917124.250op/s ± 60920.259op/s	55968506.222op/s	56034754.736op/s	56103936.969op/s	56148045.883op/s	0.41%	-6.826	72.733	0.26%	10446.221op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.538µs	10.585µs ± 0.020µs	10.581µs ± 0.011µs	10.601µs	10.619µs	10.639µs	10.653µs	0.68%	0.514	0.432	0.19%	0.001µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93866370.116op/s	94474124.275op/s ± 175535.041op/s	94505173.449op/s ± 100634.485op/s	94589106.008op/s	94721164.217op/s	94833803.642op/s	94893085.916op/s	0.41%	-0.502	0.416	0.19%	12412.202op/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	[186.030µs; 186.094µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5373624.447op/s; 5375473.368op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.884µs; 17.897µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55875970.610op/s; 55916919.043op/s] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.582µs; 10.588µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94449796.807op/s; 94498451.744op/s] or [-0.026%; +0.026%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	312.865µs	313.422µs ± 0.605µs	313.320µs ± 0.140µs	313.480µs	313.871µs	316.324µs	318.546µs	1.67%	6.254	46.450	0.19%	0.043µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[313.338µs; 313.506µs] or [-0.027%; +0.027%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	14.295ms	14.361ms ± 0.034ms	14.358ms ± 0.020ms	14.378ms	14.412ms	14.481ms	14.536ms	1.24%	1.350	4.258	0.24%	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	[14.356ms; 14.366ms] or [-0.033%; +0.033%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	3.894µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.918µs	3.921µs	0.23%	-1.111	11.020	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255031661.941op/s	255602088.083op/s ± 172678.186op/s	255615860.965op/s ± 101127.753op/s	255715564.258op/s	255805727.923op/s	255885871.145op/s	256804206.284op/s	0.46%	1.135	11.183	0.07%	12210.192op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.326µs	79.702µs ± 0.152µs	79.705µs ± 0.103µs	79.805µs	79.939µs	80.007µs	80.394µs	0.86%	0.292	1.192	0.19%	0.011µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12438769.908op/s	12546732.459op/s ± 23971.839op/s	12546196.265op/s ± 16188.330op/s	12562908.016op/s	12585453.170op/s	12599991.019op/s	12606179.549op/s	0.48%	-0.274	1.138	0.19%	1695.065op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.840µs	68.002µs ± 0.107µs	67.985µs ± 0.061µs	68.058µs	68.162µs	68.349µs	68.674µs	1.01%	1.938	8.502	0.16%	0.008µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14561649.766op/s	14705573.516op/s ± 23003.335op/s	14709031.348op/s ± 13224.061op/s	14721249.759op/s	14734683.382op/s	14740386.832op/s	14740532.041op/s	0.21%	-1.907	8.275	0.16%	1626.581op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.916µs	3.917µs	3.918µs	0.17%	-1.636	13.215	0.06%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255214855.262op/s	255620807.802op/s ± 165786.087op/s	255636172.518op/s ± 90673.911op/s	255712046.626op/s	255829928.432op/s	255903886.892op/s	256842940.040op/s	0.47%	1.661	13.419	0.06%	11722.847op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.630µs	64.775µs ± 0.095µs	64.756µs ± 0.056µs	64.836µs	64.959µs	65.047µs	65.149µs	0.61%	0.942	0.759	0.15%	0.007µs	1	200
credit_card/is_card_number/378282246310005	throughput	15349327.927op/s	15438164.259op/s ± 22718.283op/s	15442700.632op/s ± 13374.730op/s	15454921.087op/s	15467981.434op/s	15471285.481op/s	15472676.800op/s	0.19%	-0.934	0.733	0.15%	1606.425op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.455µs	45.670µs ± 0.094µs	45.671µs ± 0.062µs	45.730µs	45.803µs	45.824µs	46.259µs	1.29%	1.048	6.200	0.21%	0.007µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21617429.926op/s	21896163.447op/s ± 45173.733op/s	21895877.007op/s ± 29455.084op/s	21928313.839op/s	21966796.859op/s	21988334.860op/s	21999585.524op/s	0.47%	-1.005	5.909	0.21%	3194.265op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.427µs	6.435µs ± 0.005µs	6.435µs ± 0.003µs	6.438µs	6.444µs	6.448µs	6.464µs	0.45%	1.622	5.723	0.08%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154706717.631op/s	155394194.666op/s ± 121232.392op/s	155407406.732op/s ± 78313.840op/s	155486390.383op/s	155542124.236op/s	155568091.844op/s	155590111.086op/s	0.12%	-1.610	5.647	0.08%	8572.425op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.896µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.920µs	3.920µs	0.18%	-0.749	5.199	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255086307.195op/s	255537350.975op/s ± 191167.269op/s	255541608.756op/s ± 124523.154op/s	255656436.172op/s	255804781.960op/s	255880578.798op/s	256675418.669op/s	0.44%	0.764	5.285	0.07%	13517.567op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.842µs	65.279µs ± 0.094µs	65.287µs ± 0.058µs	65.344µs	65.417µs	65.433µs	65.490µs	0.31%	-0.889	1.973	0.14%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15269605.206op/s	15318983.661op/s ± 21989.265op/s	15317029.946op/s ± 13614.382op/s	15331878.929op/s	15359423.628op/s	15381532.703op/s	15422123.035op/s	0.69%	0.903	2.026	0.14%	1554.876op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.589µs	53.899µs ± 0.116µs	53.897µs ± 0.083µs	53.974µs	54.090µs	54.156µs	54.233µs	0.62%	0.086	-0.269	0.22%	0.008µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18438976.109op/s	18553307.010op/s ± 40023.740op/s	18554076.805op/s ± 28723.747op/s	18583451.901op/s	18614204.317op/s	18638268.768op/s	18660559.112op/s	0.57%	-0.075	-0.272	0.22%	2830.106op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.918µs	3.920µs	3.921µs	0.22%	-0.670	8.208	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255061987.943op/s	255595403.103op/s ± 193142.811op/s	255620680.903op/s ± 103126.992op/s	255721819.464op/s	255813155.113op/s	255846690.998op/s	256856393.168op/s	0.48%	0.692	8.350	0.08%	13657.259op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.180µs	50.368µs ± 0.075µs	50.372µs ± 0.052µs	50.417µs	50.494µs	50.518µs	50.583µs	0.42%	0.039	-0.317	0.15%	0.005µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19769379.754op/s	19853747.668op/s ± 29490.413op/s	19852283.053op/s ± 20623.772op/s	19876238.950op/s	19900553.548op/s	19914505.184op/s	19928318.140op/s	0.38%	-0.031	-0.320	0.15%	2085.287op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.482µs	45.663µs ± 0.103µs	45.653µs ± 0.059µs	45.716µs	45.805µs	46.039µs	46.227µs	1.26%	1.594	6.013	0.23%	0.007µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21632358.075op/s	21899667.932op/s ± 49442.989op/s	21904603.265op/s ± 28273.261op/s	21931066.273op/s	21966186.132op/s	21983760.398op/s	21986752.981op/s	0.38%	-1.558	5.813	0.23%	3496.147op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.427µs	6.435µs ± 0.004µs	6.434µs ± 0.003µs	6.438µs	6.442µs	6.444µs	6.445µs	0.18%	0.449	-0.668	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155155583.409op/s	155407663.628op/s ± 106005.214op/s	155427394.078op/s ± 73421.748op/s	155488332.923op/s	155557353.267op/s	155587938.405op/s	155597063.681op/s	0.11%	-0.447	-0.670	0.07%	7495.701op/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	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255578156.547op/s; 255626019.618op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.681µs; 79.723µs] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12543410.193op/s; 12550054.725op/s] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.987µs; 68.016µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14702385.475op/s; 14708761.557op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255597831.445op/s; 255643784.159op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.761µs; 64.788µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15435015.724op/s; 15441312.795op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.657µs; 45.683µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21889902.802op/s; 21902424.092op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.435µs; 6.436µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155377393.022op/s; 155410996.310op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255510857.030op/s; 255563844.920op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.266µs; 65.292µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15315936.160op/s; 15322031.161op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.883µs; 53.915µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18547760.104op/s; 18558853.915op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255568635.367op/s; 255622170.839op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.358µs; 50.379µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19849660.581op/s; 19857834.756op/s] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.649µs; 45.677µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21892815.610op/s; 21906520.255op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.434µs; 6.435µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155392972.325op/s; 155422354.932op/s] or [-0.009%; +0.009%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	34.164µs	34.812µs ± 1.088µs	34.324µs ± 0.053µs	34.375µs	37.181µs	37.213µs	37.650µs	9.69%	1.693	0.908	3.12%	0.077µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.661µs; 34.962µs] or [-0.433%; +0.433%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	144.453µs	146.751µs ± 1.977µs	146.410µs ± 0.530µs	147.041µs	148.682µs	153.883µs	167.941µs	14.71%	6.996	66.930	1.34%	0.140µs	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	[146.477µs; 147.025µs] or [-0.187%; +0.187%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	49.550ms	49.757ms ± 0.674ms	49.662ms ± 0.038ms	49.695ms	49.868ms	53.285ms	55.730ms	12.22%	7.776	62.216	1.35%	0.048ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[49.664ms; 49.851ms] or [-0.188%; +0.188%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	14.001µs	14.155µs ± 0.061µs	14.167µs ± 0.033µs	14.198µs	14.230µs	14.283µs	14.335µs	1.19%	-0.317	0.096	0.43%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[14.146µs; 14.163µs] or [-0.059%; +0.059%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	2.308µs	2.387µs ± 0.019µs	2.389µs ± 0.004µs	2.393µs	2.413µs	2.419µs	2.422µs	1.38%	-2.123	5.688	0.81%	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	[2.384µs; 2.389µs] or [-0.112%; +0.112%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	742.278µs	743.179µs ± 0.473µs	743.139µs ± 0.259µs	743.404µs	743.966µs	744.624µs	745.407µs	0.31%	0.925	2.384	0.06%	0.033µs	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	[743.114µs; 743.245µs] or [-0.009%; +0.009%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d743927	1774616738	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	899.582µs	902.530µs ± 1.214µs	902.511µs ± 0.831µs	903.314µs	904.467µs	905.769µs	906.718µs	0.47%	0.452	0.501	0.13%	0.086µs	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	[902.361µs; 902.698µs] or [-0.019%; +0.019%]	None	None	None

Baseline

Omitted due to size.