feat(library-config)!: make libdd-library-config no_std compatible

[pawelchcki]

What does this PR do?

Make libdd-library-config and libdd-library-config-ffi usable in no_std environments. get_config_from_bytes is now available without std.

Motivation

Enable library config parsing in embedded/no_std contexts (e.g. injected into processes without a full std runtime).

Additional Notes

• Replaces serde_yaml with yaml-peg (no_std-compatible), HashMap with BTreeMap
• Adds no_std_entry feature on libdd-library-config-ffi for standalone staticlib builds
• Propagates std feature to all workspace consumers of libdd-common-ffi

How to test the change?

cargo check -p libdd-library-config --no-default-features
cargo check -p libdd-library-config-ffi --no-default-features
cargo check -p libdd-library-config-ffi --all-features
cargo check --workspace

[github-actions]

📚 Documentation Check Results

⚠️ 316 documentation warning(s) found

📦 libdd-common - 166 warning(s)

📦 libdd-library-config - 150 warning(s)

---

Updated: 2026-03-20 20:33:06 UTC | Commit: 623c3f4 | missing-docs job results

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/pawel/no-std-library-config

Summary by Rule

Rule	Base Branch	PR Branch	Change
expect_used	2	2	No change (0%)
panic	1	1	No change (0%)
unwrap_used	1	1	No change (0%)
Total	4	4	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
libdd-common-ffi/src/cstr.rs	1	1	No change (0%)
libdd-common-ffi/src/slice.rs	2	2	No change (0%)
libdd-common/src/cstr.rs	1	1	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	28	28	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	59	59	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	9	⚠️ +1 (+12.5%)
libdd-trace-utils	15	15	No change (0%)
Total	207	208	⚠️ +1 (+0.5%)

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

⚠️ 2 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-common - 2 error(s)

Show output

error[vulnerability]: AWS-LC X.509 Name Constraints Bypass via Wildcard/Unicode CN
  ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:6:1
  │
6 │ aws-lc-sys 0.38.0 registry+https://github.com/rust-lang/crates.io-index
  │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
  │
  ├ ID: RUSTSEC-2026-0044
  ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0044
  ├ A logic error in CN (Common Name) validation allows certificates with
    wildcard or raw UTF-8 Unicode CN values to bypass name constraints
    enforcement. The `cn2dnsid` function does not recognize these CN patterns
    as valid DNS identifiers, causing `NAME_CONSTRAINTS_check_CN` to skip
    validation. However, `X509_check_host` accepts these CN values when no
    dNSName SAN is present, allowing certificates to bypass name constraints
    while still being used for hostname verification.
    
    Customers of AWS services do not need to take action. Applications using
    `aws-lc-sys` should upgrade to the most recent release of `aws-lc-sys`.
    
    ## Workarounds
    
    Applications that set `X509_CHECK_FLAG_NEVER_CHECK_SUBJECT` to disable CN
    fallback are not affected. Applications that only encounter certificates
    with dNSName SANs (standard for public WebPKI) are also not affected.
    
    Otherwise, there is no workaround and applications using `aws-lc-sys` should
    upgrade to the most recent releases of `aws-lc-sys`.
  ├ Solution: Upgrade to >=0.39.0 (try `cargo update -p aws-lc-sys`)
  ├ aws-lc-sys v0.38.0
    └── aws-lc-rs v1.16.1
        ├── rustls v0.23.37
        │   ├── hyper-rustls v0.27.7
        │   │   ├── libdd-common v3.0.0
        │   │   └── reqwest v0.13.1
        │   │       └── libdd-common v3.0.0 (*)
        │   ├── libdd-common v3.0.0 (*)
        │   ├── reqwest v0.13.1 (*)
        │   ├── rustls-platform-verifier v0.6.2
        │   │   └── reqwest v0.13.1 (*)
        │   └── tokio-rustls v0.26.0
        │       ├── hyper-rustls v0.27.7 (*)
        │       ├── libdd-common v3.0.0 (*)
        │       └── reqwest v0.13.1 (*)
        └── rustls-webpki v0.103.9
            ├── rustls v0.23.37 (*)
            └── rustls-platform-verifier v0.6.2 (*)

error[vulnerability]: CRL Distribution Point Scope Check Logic Error in AWS-LC
  ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:6:1
  │
6 │ aws-lc-sys 0.38.0 registry+https://github.com/rust-lang/crates.io-index
  │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
  │
  ├ ID: RUSTSEC-2026-0048
  ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0048
  ├ A logic error in CRL distribution point matching in AWS-LC allows a revoked
    certificate to bypass revocation checks during certificate validation, when
    the application enables CRL checking and uses partitioned CRLs with Issuing
    Distribution Point (IDP) extensions.
    
    Customers of AWS services do not need to take action. `aws-lc-sys` contains
    code from AWS-LC. Applications using `aws-lc-sys` should upgrade to the most
    recent release of `aws-lc-sys`.
    
    ## Workarounds
    
    Applications can workaround this issue if they do not enable CRL checking
    (`X509_V_FLAG_CRL_CHECK`). Applications using complete (non-partitioned)
    CRLs without IDP extensions are also not affected.
    
    Otherwise, there is no workaround and applications using `aws-lc-sys` should
    upgrade to the most recent releases of `aws-lc-sys`.
  ├ Announcement: https://aws.amazon.com/security/security-bulletins/2026-010-AWS
  ├ Solution: Upgrade to >=0.39.0 (try `cargo update -p aws-lc-sys`)
  ├ aws-lc-sys v0.38.0
    └── aws-lc-rs v1.16.1
        ├── rustls v0.23.37
        │   ├── hyper-rustls v0.27.7
        │   │   ├── libdd-common v3.0.0
        │   │   └── reqwest v0.13.1
        │   │       └── libdd-common v3.0.0 (*)
        │   ├── libdd-common v3.0.0 (*)
        │   ├── reqwest v0.13.1 (*)
        │   ├── rustls-platform-verifier v0.6.2
        │   │   └── reqwest v0.13.1 (*)
        │   └── tokio-rustls v0.26.0
        │       ├── hyper-rustls v0.27.7 (*)
        │       ├── libdd-common v3.0.0 (*)
        │       └── reqwest v0.13.1 (*)
        └── rustls-webpki v0.103.9
            ├── rustls v0.23.37 (*)
            └── rustls-platform-verifier v0.6.2 (*)

advisories FAILED, bans ok, sources ok

📦 libdd-library-config - ✅ No issues

---

Updated: 2026-03-20 20:33:09 UTC | Commit: 623c3f4 | dependency-check job results

[datadog-prod-us1-3]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 56.52%
• Overall Coverage: 71.27% (-0.05%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 3243266 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.63 MB	--.71% (-64.00 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	100.37 MB	100.55 MB	+.17% (+179.10 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	117.04 MB	117.36 MB	+.27% (+328.37 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.28 MB	11.22 MB	--.54% (-62.50 KB) 💪

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.18 MB	27.16 MB	--.08% (-24.00 KB) 💪
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	77.50 KB	77.50 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.53 MB	187.33 MB	+.43% (+824.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.79 MB	916.72 MB	--.11% (-1.07 MB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.94 MB	9.95 MB	+.07% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	77.50 KB	77.50 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.78 MB	24.82 MB	+.15% (+40.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.47 MB	51.52 MB	+.10% (+53.07 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.95 MB	--.10% (-24.50 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	78.71 KB	78.71 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.30 MB	191.10 MB	+.41% (+816.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.94 MB	899.79 MB	--.12% (-1.14 MB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.54 MB	7.53 MB	--.12% (-10.00 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	78.71 KB	78.71 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	26.55 MB	+.08% (+24.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.09 MB	47.11 MB	+.04% (+21.50 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.59 MB	87.73 MB	+.16% (+150.42 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.22 MB	10.21 MB	--.11% (-12.00 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	109.92 MB	110.17 MB	+.22% (+258.61 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.97 MB	11.96 MB	--.03% (-4.36 KB) 💪

[codecov-commenter]

Codecov Report

❌ Patch coverage is 56.52174% with 20 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.26%. Comparing base (d88e70e) to head (3243266).
⚠️ Report is 8 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1770      +/-   ##
==========================================
- Coverage   71.28%   71.26%   -0.02%     
==========================================
  Files         431      432       +1     
  Lines       64585    64873     +288     
==========================================
+ Hits        46038    46233     +195     
- Misses      18547    18640      +93     

Components	Coverage Δ
libdd-crashtracker	64.91% <ø> (-0.02%)	⬇️
libdd-crashtracker-ffi	34.86% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	87.65% <ø> (-0.34%)	⬇️
libdd-data-pipeline-ffi	73.69% <ø> (-1.52%)	⬇️
libdd-common	79.70% <47.82%> (-0.18%)	⬇️
libdd-common-ffi	73.64% <47.82%> (-0.23%)	⬇️
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	31.54% <ø> (-0.06%)	⬇️
datdog-sidecar-ffi	8.64% <ø> (-0.08%)	⬇️
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> (+0.46%)	⬆️
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	89.08% <ø> (+0.02%)	⬆️
datadog-tracer-flare	88.30% <ø> (+1.42%)	⬆️
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.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-20 20:49:20

Comparing candidate commit 3243266 in PR branch pawel/no-std-library-config with baseline commit 5d5a596 in branch main.

Found 14 performance improvements and 0 performance regressions! Performance is the same for 45 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/ 3782-8224-6310-005

• 🟩 execution_time [-3.491µs; -3.213µs] or [-4.360%; -4.013%]
• 🟩 throughput [+523892.248op/s; +570070.617op/s] or [+4.194%; +4.564%]

scenario:credit_card/is_card_number/ 378282246310005

• 🟩 execution_time [-15.872µs; -15.714µs] or [-18.814%; -18.627%]
• 🟩 throughput [+2718514.960op/s; +2740916.111op/s] or [+22.932%; +23.121%]

scenario:credit_card/is_card_number/378282246310005

• 🟩 execution_time [-5.647µs; -5.530µs] or [-8.018%; -7.853%]
• 🟩 throughput [+1211504.087op/s; +1235522.463op/s] or [+8.532%; +8.701%]

scenario:credit_card/is_card_number/37828224631000521389798

• 🟩 execution_time [-7.458µs; -7.420µs] or [-14.038%; -13.967%]
• 🟩 throughput [+3056203.836op/s; +3073912.169op/s] or [+16.236%; +16.330%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟩 execution_time [-4.763µs; -4.710µs] or [-8.086%; -7.997%]
• 🟩 throughput [+1476664.639op/s; +1492285.631op/s] or [+8.698%; +8.790%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

• 🟩 execution_time [-5.135µs; -5.075µs] or [-9.228%; -9.120%]
• 🟩 throughput [+1804975.558op/s; +1825414.378op/s] or [+10.043%; +10.157%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

• 🟩 execution_time [-7.428µs; -7.387µs] or [-13.979%; -13.903%]
• 🟩 throughput [+3039350.567op/s; +3058359.021op/s] or [+16.150%; +16.251%]

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	3243266	1774038746	pawel/no-std-library-config

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	49.114ms	49.583ms ± 1.225ms	49.458ms ± 0.076ms	49.507ms	49.631ms	57.430ms	62.017ms	25.39%	8.308	71.149	2.46%	0.087ms	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	[49.413ms; 49.753ms] or [-0.342%; +0.342%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	12.948ms	12.981ms ± 0.016ms	12.980ms ± 0.011ms	12.991ms	13.006ms	13.019ms	13.040ms	0.46%	0.411	0.176	0.12%	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	[12.979ms; 12.983ms] or [-0.017%; +0.017%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	186.083µs	186.470µs ± 0.200µs	186.460µs ± 0.157µs	186.621µs	186.796µs	186.897µs	187.261µs	0.43%	0.387	0.161	0.11%	0.014µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5340139.519op/s	5362797.113op/s ± 5748.120op/s	5363076.958op/s ± 4528.355op/s	5367452.800op/s	5371467.422op/s	5373211.201op/s	5373955.421op/s	0.20%	-0.381	0.144	0.11%	406.453op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.882µs	17.956µs ± 0.035µs	17.954µs ± 0.021µs	17.974µs	18.017µs	18.054µs	18.073µs	0.66%	0.614	0.642	0.19%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55332649.192op/s	55693007.668op/s ± 107863.069op/s	55697659.997op/s ± 65174.739op/s	55768691.153op/s	55851433.879op/s	55906006.909op/s	55921000.074op/s	0.40%	-0.601	0.617	0.19%	7627.071op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.338µs	10.537µs ± 0.123µs	10.534µs ± 0.043µs	10.574µs	10.631µs	10.721µs	11.998µs	13.90%	8.298	96.366	1.17%	0.009µs	1	200
normalization/normalize_name/normalize_name/good	throughput	83344224.908op/s	94915170.699op/s ± 1019481.724op/s	94928993.899op/s ± 383407.414op/s	95362493.090op/s	95958810.295op/s	96372104.864op/s	96731501.200op/s	1.90%	-7.297	81.238	1.07%	72088.244op/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	[186.442µs; 186.498µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5362000.478op/s; 5363593.747op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.951µs; 17.960µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55678058.884op/s; 55707956.452op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.520µs; 10.554µs] or [-0.162%; +0.162%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94773880.337op/s; 95056461.061op/s] or [-0.149%; +0.149%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	159.525µs	160.684µs ± 0.386µs	160.639µs ± 0.202µs	160.854µs	161.367µs	161.749µs	162.426µs	1.11%	1.014	2.668	0.24%	0.027µs	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	[160.630µs; 160.737µs] or [-0.033%; +0.033%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	3.891µs	3.913µs ± 0.003µs	3.912µs ± 0.001µs	3.914µs	3.918µs	3.920µs	3.921µs	0.21%	-1.311	12.437	0.08%	0.000µs	1	200
credit_card/is_card_number/	throughput	255062089.714op/s	255570178.439op/s ± 195452.472op/s	255602181.072op/s ± 97781.372op/s	255684390.472op/s	255795574.180op/s	255840982.755op/s	256984511.382op/s	0.54%	1.340	12.664	0.08%	13820.577op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	74.611µs	76.708µs ± 0.874µs	76.693µs ± 0.628µs	77.317µs	78.079µs	79.230µs	79.438µs	3.58%	0.255	0.050	1.14%	0.062µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12588500.280op/s	13038085.647op/s ± 148261.337op/s	13039046.402op/s ± 105886.017op/s	13144877.877op/s	13274049.067op/s	13331540.374op/s	13402819.278op/s	2.79%	-0.189	-0.040	1.13%	10483.660op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	68.370µs	68.568µs ± 0.074µs	68.561µs ± 0.044µs	68.613µs	68.679µs	68.713µs	69.055µs	0.72%	1.295	8.178	0.11%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14481164.667op/s	14584149.457op/s ± 15761.225op/s	14585454.655op/s ± 9300.720op/s	14593816.241op/s	14606389.714op/s	14618270.167op/s	14626342.042op/s	0.28%	-1.267	7.986	0.11%	1114.487op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.915µs	3.917µs	3.919µs	3.920µs	0.17%	-1.998	15.114	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255072891.869op/s	255519590.296op/s ± 172317.122op/s	255501951.170op/s ± 107391.353op/s	255630771.555op/s	255750170.106op/s	255820726.352op/s	256828410.286op/s	0.52%	2.025	15.348	0.07%	12184.661op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.612µs	64.838µs ± 0.156µs	64.806µs ± 0.089µs	64.907µs	65.122µs	65.381µs	65.555µs	1.16%	1.430	3.012	0.24%	0.011µs	1	200
credit_card/is_card_number/378282246310005	throughput	15254338.038op/s	15423109.014op/s ± 36911.446op/s	15430714.550op/s ± 21231.847op/s	15449721.970op/s	15468930.653op/s	15473065.402op/s	15477095.446op/s	0.30%	-1.409	2.916	0.24%	2610.033op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.400µs	45.686µs ± 0.131µs	45.695µs ± 0.095µs	45.776µs	45.896µs	45.935µs	45.963µs	0.59%	-0.153	-0.711	0.29%	0.009µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21756643.302op/s	21888547.819op/s ± 62631.822op/s	21884462.109op/s ± 45304.908op/s	21933555.603op/s	21999054.708op/s	22017762.846op/s	22026405.134op/s	0.65%	0.164	-0.708	0.29%	4428.739op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.430µs	6.436µs ± 0.003µs	6.436µs ± 0.002µs	6.438µs	6.442µs	6.447µs	6.449µs	0.20%	0.999	1.586	0.05%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	155069423.004op/s	155378556.187op/s ± 83694.159op/s	155385090.803op/s ± 51513.289op/s	155440616.634op/s	155491588.433op/s	155516760.118op/s	155522536.206op/s	0.09%	-0.994	1.573	0.05%	5918.071op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.898µs	3.913µs ± 0.002µs	3.913µs ± 0.001µs	3.914µs	3.917µs	3.918µs	3.919µs	0.16%	-0.892	7.006	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255168943.812op/s	255566246.776op/s ± 155944.121op/s	255573426.283op/s ± 89853.071op/s	255663183.419op/s	255777375.235op/s	255850615.125op/s	256557169.473op/s	0.38%	0.907	7.104	0.06%	11026.915op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	61.457µs	62.681µs ± 0.505µs	62.714µs ± 0.358µs	63.009µs	63.470µs	63.597µs	63.845µs	1.80%	-0.200	-0.421	0.80%	0.036µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15662866.622op/s	15954835.016op/s ± 128844.795op/s	15945455.999op/s ± 91470.929op/s	16040868.187op/s	16188204.580op/s	16262951.172op/s	16271499.983op/s	2.04%	0.237	-0.397	0.81%	9110.703op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.950µs	54.165µs ± 0.076µs	54.163µs ± 0.045µs	54.210µs	54.295µs	54.340µs	54.369µs	0.38%	0.011	0.245	0.14%	0.005µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18392775.636op/s	18462268.490op/s ± 25982.182op/s	18462793.778op/s ± 15292.387op/s	18476289.379op/s	18507208.285op/s	18524449.569op/s	18535675.615op/s	0.39%	-0.001	0.244	0.14%	1837.218op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.897µs	3.913µs ± 0.002µs	3.912µs ± 0.001µs	3.914µs	3.917µs	3.919µs	3.921µs	0.22%	-0.530	8.566	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255036318.728op/s	255577507.017op/s ± 157555.171op/s	255597367.349op/s ± 83988.573op/s	255669490.968op/s	255759536.405op/s	255870573.921op/s	256591057.300op/s	0.39%	0.549	8.668	0.06%	11140.833op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.313µs	50.538µs ± 0.106µs	50.525µs ± 0.059µs	50.585µs	50.721µs	50.872µs	50.990µs	0.92%	1.022	1.928	0.21%	0.007µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19611700.221op/s	19787263.316op/s ± 41307.198op/s	19792110.865op/s ± 23113.761op/s	19814976.655op/s	19840734.128op/s	19861670.598op/s	19875536.978op/s	0.42%	-1.004	1.869	0.21%	2920.860op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.396µs	45.728µs ± 0.140µs	45.738µs ± 0.101µs	45.835µs	45.936µs	45.969µs	45.988µs	0.55%	-0.279	-0.735	0.30%	0.010µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21744567.656op/s	21868880.636op/s ± 66803.566op/s	21863575.284op/s ± 48344.984op/s	21911825.814op/s	21989595.426op/s	22005589.151op/s	22028365.897op/s	0.75%	0.290	-0.727	0.30%	4723.725op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.430µs	6.438µs ± 0.004µs	6.437µs ± 0.003µs	6.440µs	6.445µs	6.448µs	6.454µs	0.26%	0.641	0.886	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	154949005.425op/s	155333051.866op/s ± 97351.367op/s	155344526.474op/s ± 63541.584op/s	155402793.370op/s	155478687.787op/s	155505433.774op/s	155529307.066op/s	0.12%	-0.637	0.874	0.06%	6883.781op/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 [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/	throughput	[255543090.606op/s; 255597266.272op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[76.587µs; 76.829µs] or [-0.158%; +0.158%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[13017538.052op/s; 13058633.243op/s] or [-0.158%; +0.158%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[68.557µs; 68.578µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14581965.103op/s; 14586333.811op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255495708.800op/s; 255543471.791op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.817µs; 64.860µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15417993.443op/s; 15428224.585op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.668µs; 45.704µs] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21879867.651op/s; 21897227.987op/s] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.435µs; 6.436µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155366956.982op/s; 155390155.393op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.913µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255544634.421op/s; 255587859.132op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[62.611µs; 62.751µs] or [-0.112%; +0.112%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15936978.367op/s; 15972691.666op/s] or [-0.112%; +0.112%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[54.154µs; 54.175µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18458667.609op/s; 18465869.370op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255555671.386op/s; 255599342.648op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.523µs; 50.552µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19781538.536op/s; 19792988.097op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.708µs; 45.747µs] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21859622.304op/s; 21878138.968op/s] or [-0.042%; +0.042%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.437µs; 6.438µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155319559.903op/s; 155346543.829op/s] 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	3243266	1774038746	pawel/no-std-library-config

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	189.970ns	192.206ns ± 1.751ns	192.055ns ± 1.247ns	193.198ns	195.589ns	196.831ns	200.229ns	4.26%	1.045	1.610	0.91%	0.124ns	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	[191.964ns; 192.449ns] or [-0.126%; +0.126%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	5.017µs	5.075µs ± 0.028µs	5.070µs ± 0.020µs	5.092µs	5.136µs	5.138µs	5.144µs	1.46%	0.818	0.080	0.56%	0.002µs	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	[5.071µs; 5.079µs] or [-0.077%; +0.077%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	144.066µs	146.725µs ± 1.713µs	146.419µs ± 0.592µs	147.120µs	148.560µs	152.883µs	161.733µs	10.46%	4.936	34.787	1.16%	0.121µs	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	[146.488µs; 146.963µs] or [-0.162%; +0.162%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	34.319µs	34.772µs ± 0.755µs	34.433µs ± 0.055µs	34.523µs	36.364µs	36.394µs	38.026µs	10.43%	1.824	1.907	2.17%	0.053µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.668µs; 34.877µs] or [-0.301%; +0.301%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	4.219ms	4.224ms ± 0.003ms	4.224ms ± 0.002ms	4.226ms	4.228ms	4.232ms	4.254ms	0.72%	3.861	32.638	0.08%	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	[4.224ms; 4.225ms] or [-0.011%; +0.011%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	3.435ms ± 0.032ms	3.424ms ± 0.007ms	3.433ms	3.520ms	3.543ms	3.556ms	3.86%	2.182	3.872	0.93%	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	[3.430ms; 3.439ms] or [-0.129%; +0.129%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	13.930ms	13.973ms ± 0.025ms	13.970ms ± 0.012ms	13.983ms	14.016ms	14.067ms	14.104ms	0.96%	1.815	6.138	0.18%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[13.970ms; 13.977ms] or [-0.025%; +0.025%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	86.368µs	86.727µs ± 0.133µs	86.719µs ± 0.053µs	86.770µs	86.849µs	87.037µs	88.082µs	1.57%	5.415	53.044	0.15%	0.009µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.709µs; 86.745µs] or [-0.021%; +0.021%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	495.453µs	497.119µs ± 1.855µs	496.327µs ± 0.402µs	497.004µs	500.559µs	503.511µs	506.162µs	1.98%	1.724	2.866	0.37%	0.131µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1975652.931op/s	2011619.765op/s ± 7459.876op/s	2014800.839op/s ± 1632.194op/s	2016158.107op/s	2017615.917op/s	2018271.327op/s	2018356.504op/s	0.18%	-1.703	2.728	0.37%	527.493op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	377.107µs	377.948µs ± 0.420µs	377.940µs ± 0.294µs	378.210µs	378.697µs	379.002µs	379.275µs	0.35%	0.425	-0.165	0.11%	0.030µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2636611.134op/s	2645871.277op/s ± 2936.437op/s	2645926.134op/s ± 2063.075op/s	2648127.091op/s	2650181.783op/s	2650969.736op/s	2651765.742op/s	0.22%	-0.420	-0.174	0.11%	207.637op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.540µs	168.878µs ± 0.133µs	168.866µs ± 0.077µs	168.961µs	169.118µs	169.229µs	169.283µs	0.25%	0.357	0.312	0.08%	0.009µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5907277.450op/s	5921433.873op/s ± 4669.255op/s	5921857.646op/s ± 2683.541op/s	5924190.817op/s	5928745.128op/s	5931178.265op/s	5933307.144op/s	0.19%	-0.352	0.308	0.08%	330.166op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.827µs	37.034µs ± 0.123µs	37.067µs ± 0.103µs	37.138µs	37.199µs	37.235µs	37.247µs	0.48%	-0.190	-1.455	0.33%	0.009µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26847786.874op/s	27002749.368op/s ± 89872.594op/s	26977882.674op/s ± 75057.453op/s	27099282.655op/s	27134688.371op/s	27141319.393op/s	27153928.466op/s	0.65%	0.195	-1.456	0.33%	6354.952op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.217µs	46.316µs ± 0.065µs	46.304µs ± 0.036µs	46.352µs	46.422µs	46.452µs	46.820µs	1.11%	2.710	16.959	0.14%	0.005µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21358573.247op/s	21590865.579op/s ± 29993.568op/s	21596511.169op/s ± 16688.328op/s	21611003.159op/s	21625825.688op/s	21630327.091op/s	21637186.203op/s	0.19%	-2.662	16.462	0.14%	2120.866op/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	[496.862µs; 497.376µs] or [-0.052%; +0.052%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2010585.898op/s; 2012653.632op/s] or [-0.051%; +0.051%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[377.890µs; 378.006µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2645464.316op/s; 2646278.239op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.860µs; 168.897µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5920786.760op/s; 5922080.987op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.017µs; 37.051µs] or [-0.046%; +0.046%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26990293.890op/s; 27015204.845op/s] or [-0.046%; +0.046%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.307µs; 46.325µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21586708.759op/s; 21595022.399op/s] or [-0.019%; +0.019%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	2.307µs	2.353µs ± 0.013µs	2.352µs ± 0.004µs	2.359µs	2.374µs	2.378µs	2.380µs	1.17%	-0.982	2.559	0.56%	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	[2.351µs; 2.355µs] or [-0.077%; +0.077%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	4.232ms	4.236ms ± 0.008ms	4.235ms ± 0.001ms	4.236ms	4.240ms	4.246ms	4.345ms	2.60%	11.941	154.706	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	[4.235ms; 4.237ms] or [-0.027%; +0.027%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	728.096µs	729.441µs ± 0.612µs	729.423µs ± 0.354µs	729.797µs	730.541µs	730.960µs	732.439µs	0.41%	0.754	2.186	0.08%	0.043µs	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	[729.356µs; 729.526µs] or [-0.012%; +0.012%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	235.877ns	249.118ns ± 14.979ns	242.679ns ± 4.069ns	251.441ns	283.017ns	290.129ns	292.849ns	20.67%	1.504	0.953	6.00%	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	[247.042ns; 251.194ns] or [-0.833%; +0.833%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

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	1.207µs	3.205µs ± 1.418µs	2.982µs ± 0.030µs	3.014µs	3.684µs	13.945µs	14.734µs	394.17%	7.332	55.007	44.14%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.009µs; 3.402µs] or [-6.132%; +6.132%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	3243266	1774038746	pawel/no-std-library-config

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
two way interface	execution_time	18.194µs	26.725µs ± 10.111µs	18.670µs ± 0.400µs	35.281µs	45.520µs	46.194µs	70.428µs	277.22%	0.925	0.612	37.74%	0.715µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[25.323µs; 28.126µs] or [-5.244%; +5.244%]	None	None	None

Baseline

Omitted due to size.

[Copilot]

Pull request overview

This PR makes the libdd-library-config crate (and related FFI crates) compatible with no_std + alloc, introducing a std feature (enabled by default) and updating downstream crates to explicitly enable std where required.

Changes:

• Add std feature gating for libdd-library-config, libdd-library-config-ffi, and libdd-common-ffi, with no_std support paths using core/alloc.
• Update dependent FFI crates to explicitly enable libdd-common-ffi/std (and config-ffi std) when used.
• Add workspace “no-std” Cargo profiles and update lockfile / 3rd-party license inventory for new dependency graph.

Reviewed changes

Copilot reviewed 20 out of 22 changed files in this pull request and generated 3 comments.

Show a summary per file

File	Description
libdd-telemetry-ffi/Cargo.toml	Forces libdd-common-ffi to build with std for this FFI consumer.
libdd-profiling-ffi/Cargo.toml	Ensures feature flags enable std on config-ffi and common-ffi deps.
libdd-library-config/src/lib.rs	Converts core logic to no_std + alloc, switches maps to BTreeMap, and gates file I/O behind std.
libdd-library-config/Cargo.toml	Introduces std feature (default) and makes several deps optional / std-gated.
libdd-library-config-ffi/src/lib.rs	Adds std gating for many FFI entry points and adds optional no-std entry support.
libdd-library-config-ffi/Cargo.toml	Adds std feature (default) and a no_std_entry feature for standalone no_std builds.
libdd-ddsketch-ffi/Cargo.toml	Forces libdd-common-ffi to build with std.
libdd-data-pipeline-ffi/Cargo.toml	Forces libdd-common-ffi to build with std.
libdd-crashtracker-ffi/Cargo.toml	Forces libdd-common-ffi to build with std.
libdd-common/src/cstr.rs	Switches CStr usage from std to core for broader compatibility.
libdd-common-ffi/src/vec.rs	Moves internal std-only APIs behind std feature; uses core/alloc types.
libdd-common-ffi/src/slice.rs	Refactors to support no_std; gates serde/error-FFI pieces behind std.
libdd-common-ffi/src/lib.rs	Makes crate no_std-capable and gates modules/re-exports that require std.
libdd-common-ffi/src/cstr.rs	Migrates C string helpers to core/alloc equivalents.
libdd-common-ffi/Cargo.toml	Adds std feature (default) and makes heavy deps optional under it.
datadog-sidecar/Cargo.toml	Forces libdd-common-ffi to build with std on Windows target.
datadog-sidecar-ffi/Cargo.toml	Forces libdd-common-ffi to build with std.
datadog-live-debugger-ffi/Cargo.toml	Forces libdd-common-ffi to build with std.
datadog-ffe-ffi/Cargo.toml	Forces libdd-common-ffi to build with std.
LICENSE-3rdparty.yml	Updates 3rd-party license inventory for new transitive dependencies.
Cargo.toml	Adds no-std-dev / no-std-release profiles with panic = "abort".
Cargo.lock	Updates dependency graph for new crates/features (e.g., yaml-peg, dlmalloc).

---

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[Copilot]

parse_stable_config_slice performs YAML parsing unconditionally via yaml_peg, which means YAML parsing is available in no_std builds. This conflicts with the PR description that says YAML parsing is gated behind the std feature. Either update the PR description to reflect the new behavior, or gate this parsing path behind #[cfg(feature = "std")] (and provide a no-std alternative, e.g., only accept already-parsed configs / return an error).

[bantonsson]

And pretty please @pawelchcki do your AI review before you open the PR.

[Copilot]

The PR description says the FFI crate gates all bindings behind the std feature and is effectively empty without std, but ddog_library_configurator_new / *_with_* functions are still exported without #[cfg(feature = "std")]. If the intent is to fully gate the C API on std, these items (and related types) should also be #[cfg(feature = "std")] (or the PR description should be updated to match the actual exported surface).

[paullegranddc]

I don't feel good replacing serde_yaml with a basically unknown yaml parser crate

[pawelchcki]

yes but, https://github.com/dtolnay/serde-yaml was deprecated 2 years ago and stopped receiving any updates. same https://github.com/sebastienrousseau/serde_yml

https://github.com/jayvdb/advisory-db/blob/main/crates/serde_yaml/RUSTSEC-0000-0000.md#recommended-alternatives

yaml_peg is one of recommended alternatives, although with caveat. Generally looks like the state of yaml parsing in Rust is not_great:tm:

[bantonsson]

I'm not super confident about the changes either. Besides, is there a need for no_std right now, or is it just a nice to have?

[bantonsson]

Are these two used anywhere? I can't see find it.

[pawelchcki]

only in my testing - I'll remove them

[bantonsson]

The call yaml_peg::serde::from_str::<StableConfig>(s) will return an empty Vec for a comment only yaml file, making this panic in Vec.remove. The old code returned StableConfig::default(). Maybe add some tests?

Suggested change

	Ok(mut docs) => docs.remove(0),
	Ok(mut docs) => docs.into_iter().next().unwrap_or_default(),

[pawelchcki]

If you're good with the idea of these changes, I'll be happy to add more testing to cover more of the yaml edgecases.
@bantonsson @paullegranddc
I can also make serde_yaml the default if std is enabled - this is not large problem.

Making this a no_std will also help with pushing these changes to other 3 repositories (httpd and maybe even cpp)

The difference in artifact size is hundreds of kB vs MB of size - I can also add tests in libdatadog which will show you that.

[pawelchcki]

I converted back to draft, as it looks liek the consesus leans towards slight ok-go on this issue. Because of it I need to add more tests and push this change through some automated code reviews.