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@hoolioh hoolioh commented Mar 13, 2026

Release proposal for libdd-library-config and its dependencies

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

libdd-trace-protobuf

Next version: 2.0.0

Semver bump: major
Tag: libdd-trace-protobuf-v2.0.0

Commits

Semver bump: minor
Tag: libdd-library-config-v1.1.0

Commits

[SVLS-8627]:
https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ [APMAPI-1690]:
https://datadoghq.atlassian.net/browse/APMAPI-1690?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

What does this PR do?

A brief description of the change being made with this pull request.

Motivation

What inspired you to submit this pull request?

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

@dd-octo-sts @hoolioh
chore(release): proposal for libdd-library-config (#1726)
1142313 
# Release proposal for libdd-library-config and its dependencies

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

## libdd-trace-protobuf
**Next version:** `2.0.0`

**Semver bump:** `major`
**Tag:** `libdd-trace-protobuf-v2.0.0`

### Commits

- feat(trace-protobuf)!: Add two fields to ClientGroupedStats
[SVLS-8627] (#1630)
- feat: otel process ctxt protobuf encoding (#1651)
## libdd-library-config
**Next version:** `1.1.0`

**Semver bump:** `minor`
**Tag:** `libdd-library-config-v1.1.0`

### Commits

- chore: update otel process ctx protocol (#1713)
- feat: publish tracer metadata as OTel process ctx (#1658)
- feat: otel process ctxt protobuf encoding (#1651)
- fix: handle fork in otel process ctx (#1650)
- chore: implement otel process ctx update (#1640)
- feat: process context publication (#1585)
- ci: update nightly in CI to 2026-02-08 (#1539)
- fix(stable_config): [APMAPI-1690] add >100mb check for stable config
files (#1432)
- chore: add changelog for every published crate (#1396)

[SVLS-8627]:
https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ
[APMAPI-1690]:
https://datadoghq.atlassian.net/browse/APMAPI-1690?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

---------

Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>
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📚 Documentation Check Results

⚠️ 2678 documentation warning(s) found

📦 libdd-data-pipeline - 796 warning(s)

📦 libdd-library-config - 148 warning(s)

📦 libdd-trace-normalization - 125 warning(s)

📦 libdd-trace-obfuscation - 522 warning(s)

📦 libdd-trace-protobuf - 110 warning(s)

📦 libdd-trace-stats - 492 warning(s)

📦 libdd-trace-utils - 485 warning(s)

Updated: 2026-03-13 18:42:23 UTC | Commit: e639231 | missing-docs job results

@hoolioh hoolioh changed the base branch from main to julio/main-copy March 13, 2026 18:31
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🔒 Cargo Deny Results

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

📦 libdd-data-pipeline - 1 error(s)

Show output 
error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:293:1
    │
293 │ 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 v2.0.0

advisories FAILED, bans ok, sources ok

📦 libdd-library-config - ✅ No issues

📦 libdd-trace-normalization - ✅ No issues

📦 libdd-trace-obfuscation - ✅ No issues

📦 libdd-trace-protobuf - ✅ No issues

📦 libdd-trace-stats - ✅ No issues

📦 libdd-trace-utils - ✅ No issues

Updated: 2026-03-13 18:41:32 UTC | Commit: e639231 | dependency-check job results

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codecov-commenter commented Mar 13, 2026

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.44%. Comparing base (892b7bf) to head (1142313).

Additional details and impacted files 
@@                 Coverage Diff                 @@
##           julio/main-copy    #1730      +/-   ##
===================================================
- Coverage            71.48%   71.44%   -0.05%     
===================================================
  Files                  430      430              
  Lines                63954    63994      +40     
===================================================
  Hits                 45720    45720              
- Misses               18234    18274      +40
Components Coverage Δ
libdd-crashtracker 63.90% <ø> (+0.01%) ⬆️
libdd-crashtracker-ffi 17.72% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.79% <ø> (-0.54%) ⬇️
libdd-data-pipeline-ffi 75.43% <ø> (-1.52%) ⬇️
libdd-common 79.73% <ø> (ø)
libdd-common-ffi 73.40% <ø> (ø)
libdd-telemetry 62.48% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.47% <ø> (+0.11%) ⬆️
libdd-profiling 81.59% <ø> (-0.02%) ⬇️
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 32.73% <ø> (+0.13%) ⬆️
datdog-sidecar-ffi 9.11% <ø> (+0.61%) ⬆️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 91.80% <ø> (ø)
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 88.98% <ø> (-0.11%) ⬇️
datadog-tracer-flare 86.86% <ø> (-2.10%) ⬇️
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

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Benchmarks

Comparison

Benchmark execution time: 2026-03-13 18:46:01

Comparing candidate commit 1142313 in PR branch julio/release-copy with baseline commit 6981c5c in branch julio/main-copy.

Found 11 performance improvements and 4 performance regressions! Performance is the same for 43 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:benching serializing traces from their internal representation to msgpack

  • 🟩 execution_time [-714.601µs; -703.258µs] or [-4.824%; -4.748%]

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

  • 🟩 execution_time [-5.141µs; -4.916µs] or [-6.421%; -6.141%]
  • 🟩 throughput [+818942.859op/s; +858427.266op/s] or [+6.556%; +6.872%]

scenario:credit_card/is_card_number/x371413321323331

  • 🟩 execution_time [-596.688ns; -592.007ns] or [-8.997%; -8.927%]
  • 🟩 throughput [+14785051.347op/s; +14903811.262op/s] or [+9.805%; +9.884%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

  • 🟩 execution_time [-595.105ns; -589.749ns] or [-8.974%; -8.893%]
  • 🟩 throughput [+14725442.266op/s; +14863246.979op/s] or [+9.765%; +9.856%]

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

  • 🟩 execution_time [-19.190µs; -19.019µs] or [-9.341%; -9.258%]
  • 🟩 throughput [+496969.694op/s; +501202.164op/s] or [+10.209%; +10.296%]

scenario:normalization/normalize_name/normalize_name/good

  • 🟩 execution_time [-1007.050ns; -971.280ns] or [-9.255%; -8.926%]
  • 🟩 throughput [+9030181.742op/s; +9376453.956op/s] or [+9.826%; +10.203%]

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

  • 🟥 execution_time [+40.667µs; +40.937µs] or [+8.230%; +8.284%]
  • 🟥 throughput [-154841.028op/s; -153859.820op/s] or [-7.651%; -7.603%]

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

  • 🟥 execution_time [+26.968µs; +27.075µs] or [+16.090%; +16.154%]
  • 🟥 throughput [-829779.005op/s; -826836.766op/s] or [-13.908%; -13.859%]

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 1142313 1773426274 julio/release-copy
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 3.433ms 3.458ms ± 0.014ms 3.457ms ± 0.008ms 3.465ms 3.484ms 3.498ms 3.509ms 1.49% 0.916 1.235 0.39% 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 [3.456ms; 3.460ms] or [-0.054%; +0.054%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
two way interface execution_time 17.671µs 25.469µs ± 9.133µs 18.064µs ± 0.267µs 33.843µs 42.735µs 43.701µs 55.202µs 205.60% 0.711 -0.654 35.77% 0.646µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.203µs; 26.735µs] or [-4.970%; +4.970%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 160.840µs 161.322µs ± 0.245µs 161.260µs ± 0.129µs 161.449µs 161.720µs 162.089µs 162.554µs 0.80% 1.455 3.856 0.15% 0.017µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [161.288µs; 161.356µs] or [-0.021%; +0.021%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
sdk_test_data/rules-based execution_time 145.034µs 146.746µs ± 1.672µs 146.470µs ± 0.551µs 147.126µs 148.247µs 152.459µs 163.279µs 11.48% 6.136 51.781 1.14% 0.118µs 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 [146.514µs; 146.978µs] or [-0.158%; +0.158%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 3.897µs 3.913µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.920µs 3.921µs 0.23% -0.286 4.460 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255006689.559op/s 255583372.392op/s ± 188996.225op/s 255596193.628op/s ± 110494.088op/s 255695223.309op/s 255821884.250op/s 255920286.255op/s 256630044.739op/s 0.40% 0.300 4.516 0.07% 13364.051op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 73.869µs 75.027µs ± 0.802µs 74.952µs ± 0.524µs 75.546µs 76.398µs 77.248µs 77.773µs 3.76% 0.722 0.268 1.07% 0.057µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12857883.351op/s 13329966.037op/s ± 141375.810op/s 13341952.578op/s ± 94021.595op/s 13429437.391op/s 13518751.319op/s 13531327.785op/s 13537566.039op/s 1.47% -0.667 0.135 1.06% 9996.779op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.593µs 67.716µs ± 0.071µs 67.711µs ± 0.037µs 67.753µs 67.802µs 67.889µs 68.339µs 0.93% 3.473 27.709 0.11% 0.005µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14633011.005op/s 14767526.980op/s ± 15491.213op/s 14768597.531op/s ± 8063.465op/s 14776192.599op/s 14787442.875op/s 14792302.131op/s 14794494.968op/s 0.18% -3.418 27.093 0.10% 1095.394op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.895µs 3.913µs ± 0.003µs 3.913µs ± 0.002µs 3.914µs 3.916µs 3.918µs 3.920µs 0.19% -1.226 7.634 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255093537.291op/s 255586532.090op/s ± 174203.313op/s 255575222.052op/s ± 100059.988op/s 255686313.309op/s 255841852.423op/s 255961711.792op/s 256711561.059op/s 0.44% 1.243 7.745 0.07% 12318.034op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.398µs 64.523µs ± 0.052µs 64.524µs ± 0.033µs 64.553µs 64.611µs 64.653µs 64.679µs 0.24% 0.215 -0.070 0.08% 0.004µs 1 200
credit_card/is_card_number/378282246310005 throughput 15460956.526op/s 15498433.586op/s ± 12555.220op/s 15498191.605op/s ± 8039.246op/s 15507443.437op/s 15518832.164op/s 15523214.669op/s 15528503.663op/s 0.20% -0.211 -0.074 0.08% 887.788op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 44.804µs 45.204µs ± 0.151µs 45.217µs ± 0.107µs 45.315µs 45.435µs 45.530µs 45.541µs 0.72% -0.342 -0.143 0.33% 0.011µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21958089.919op/s 22122077.901op/s ± 73944.400op/s 22115732.436op/s ± 52279.123op/s 22168125.008op/s 22253745.577op/s 22316541.645op/s 22319393.130op/s 0.92% 0.359 -0.129 0.33% 5228.659op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.027µs 6.037µs ± 0.013µs 6.036µs ± 0.003µs 6.038µs 6.044µs 6.102µs 6.153µs 1.94% 7.409 60.112 0.21% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 162522729.397op/s 165633149.795op/s ± 350425.460op/s 165672564.625op/s ± 70072.722op/s 165747992.335op/s 165831180.756op/s 165903396.902op/s 165917501.252op/s 0.15% -7.363 59.523 0.21% 24778.822op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.894µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.919µs 3.920µs 0.20% -1.234 7.848 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255088547.462op/s 255598194.969op/s ± 190811.921op/s 255591476.026op/s ± 105561.000op/s 255695176.139op/s 255905227.122op/s 255992779.706op/s 256835481.400op/s 0.49% 1.253 7.972 0.07% 13492.440op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.027µs 65.575µs ± 0.094µs 65.586µs ± 0.056µs 65.630µs 65.710µs 65.799µs 65.826µs 0.37% -0.930 4.972 0.14% 0.007µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15191526.167op/s 15249656.262op/s ± 21817.122op/s 15247242.055op/s ± 13088.901op/s 15262480.016op/s 15281639.671op/s 15298627.224op/s 15378227.505op/s 0.86% 0.957 5.121 0.14% 1542.703op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 52.944µs 53.035µs ± 0.037µs 53.041µs ± 0.028µs 53.065µs 53.087µs 53.101µs 53.104µs 0.12% -0.341 -0.705 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18830900.012op/s 18855332.726op/s ± 13123.465op/s 18853469.637op/s ± 9832.215op/s 18864651.889op/s 18877431.559op/s 18884877.501op/s 18888030.655op/s 0.18% 0.343 -0.702 0.07% 927.969op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.890µs 3.914µs ± 0.003µs 3.914µs ± 0.002µs 3.916µs 3.918µs 3.920µs 3.923µs 0.22% -2.438 18.837 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254921215.686op/s 255483275.071op/s ± 196585.115op/s 255480044.462op/s ± 120535.171op/s 255602411.002op/s 255728270.766op/s 255868370.481op/s 257057288.187op/s 0.62% 2.472 19.167 0.08% 13900.667op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 49.739µs 49.821µs ± 0.036µs 49.819µs ± 0.025µs 49.846µs 49.884µs 49.897µs 49.931µs 0.23% 0.162 -0.152 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 20027442.578op/s 20071853.399op/s ± 14456.703op/s 20072579.853op/s ± 10269.134op/s 20081843.014op/s 20094750.447op/s 20102834.239op/s 20104917.663op/s 0.16% -0.158 -0.155 0.07% 1022.243op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 44.903µs 45.232µs ± 0.138µs 45.230µs ± 0.101µs 45.332µs 45.469µs 45.539µs 45.605µs 0.83% 0.010 -0.242 0.30% 0.010µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21927584.842op/s 22108659.994op/s ± 67544.373op/s 22109457.396op/s ± 49475.820op/s 22157208.338op/s 22222859.101op/s 22256582.097op/s 22270450.343op/s 0.73% 0.006 -0.245 0.30% 4776.108op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.027µs 6.039µs ± 0.016µs 6.036µs ± 0.003µs 6.039µs 6.044µs 6.105µs 6.173µs 2.27% 5.242 32.163 0.26% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 161990466.905op/s 165593935.979op/s ± 428474.902op/s 165668647.209op/s ± 72549.144op/s 165735765.778op/s 165854560.710op/s 165910609.084op/s 165913397.812op/s 0.15% -5.190 31.452 0.26% 30297.751op/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 [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255557179.333op/s; 255609565.451op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [74.916µs; 75.139µs] or [-0.148%; +0.148%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [13310372.710op/s; 13349559.365op/s] or [-0.147%; +0.147%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.706µs; 67.726µs] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14765380.047op/s; 14769673.913op/s] or [-0.015%; +0.015%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.913µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631 throughput [255562389.186op/s; 255610674.993op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.515µs; 64.530µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 throughput [15496693.553op/s; 15500173.619op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.183µs; 45.225µs] or [-0.046%; +0.046%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [22111829.918op/s; 22132325.883op/s] or [-0.046%; +0.046%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.036µs; 6.039µs] or [-0.030%; +0.030%] None None None
credit_card/is_card_number/x371413321323331 throughput [165584584.197op/s; 165681715.394op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.913µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ throughput [255571750.271op/s; 255624639.666op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.562µs; 65.588µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15246632.618op/s; 15252679.905op/s] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.030µs; 53.041µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18853513.940op/s; 18857151.512op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.914µs; 3.915µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255456030.265op/s; 255510519.878op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [49.816µs; 49.826µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [20069849.840op/s; 20073856.959op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.212µs; 45.251µs] or [-0.042%; +0.042%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [22099298.993op/s; 22118020.994op/s] or [-0.042%; +0.042%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.037µs; 6.041µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [165534553.478op/s; 165653318.479op/s] or [-0.036%; +0.036%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 190.326ns 193.501ns ± 2.969ns 192.911ns ± 1.396ns 194.288ns 199.343ns 202.448ns 214.399ns 11.14% 2.606 12.283 1.53% 0.210ns 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 [193.089ns; 193.912ns] or [-0.213%; +0.213%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
ip_address/quantize_peer_ip_address_benchmark execution_time 4.939µs 5.038µs ± 0.057µs 5.046µs ± 0.038µs 5.070µs 5.149µs 5.151µs 5.153µs 2.11% 0.352 -0.607 1.12% 0.004µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark execution_time [5.030µs; 5.046µs] or [-0.156%; +0.156%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 241.218ns 252.282ns ± 12.620ns 246.958ns ± 4.082ns 256.677ns 284.605ns 290.656ns 291.957ns 18.22% 1.697 2.060 4.99% 0.892ns 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 [250.533ns; 254.031ns] or [-0.693%; +0.693%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching deserializing traces from msgpack to their internal representation execution_time 50.084ms 50.365ms ± 0.832ms 50.218ms ± 0.061ms 50.316ms 50.502ms 54.850ms 58.599ms 16.69% 7.770 64.635 1.65% 0.059ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching deserializing traces from msgpack to their internal representation execution_time [50.249ms; 50.480ms] or [-0.229%; +0.229%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
concentrator/add_spans_to_concentrator execution_time 13.091ms 13.125ms ± 0.016ms 13.124ms ± 0.010ms 13.135ms 13.155ms 13.169ms 13.174ms 0.38% 0.606 0.435 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 [13.123ms; 13.127ms] or [-0.016%; +0.016%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 14.050ms 14.103ms ± 0.029ms 14.099ms ± 0.014ms 14.113ms 14.156ms 14.200ms 14.282ms 1.30% 2.173 8.891 0.20% 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 [14.099ms; 14.107ms] or [-0.028%; +0.028%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 729.586µs 731.836µs ± 0.851µs 731.763µs ± 0.475µs 732.248µs 733.132µs 733.592µs 738.029µs 0.86% 1.969 12.726 0.12% 0.060µs 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 [731.718µs; 731.954µs] or [-0.016%; +0.016%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 1.225µs 3.214µs ± 1.427µs 2.992µs ± 0.030µs 3.018µs 3.694µs 13.963µs 14.682µs 390.73% 7.292 54.533 44.29% 0.101µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.016µs; 3.412µs] or [-6.154%; +6.154%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
redis/obfuscate_redis_string execution_time 33.243µs 33.813µs ± 0.954µs 33.390µs ± 0.041µs 33.437µs 35.828µs 35.947µs 37.603µs 12.62% 1.802 1.592 2.81% 0.067µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.680µs; 33.945µs] or [-0.391%; +0.391%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 533.949µs 534.949µs ± 0.836µs 534.788µs ± 0.295µs 535.127µs 535.961µs 539.611µs 540.512µs 1.07% 3.974 21.489 0.16% 0.059µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1850096.477op/s 1869341.484op/s ± 2901.909op/s 1869900.568op/s ± 1031.839op/s 1870711.034op/s 1872174.160op/s 1872473.762op/s 1872839.074op/s 0.16% -3.938 21.182 0.15% 205.196op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 381.178µs 381.948µs ± 0.479µs 381.933µs ± 0.249µs 382.151µs 382.478µs 384.488µs 384.925µs 0.78% 2.884 15.235 0.13% 0.034µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2597906.629op/s 2618164.787op/s ± 3272.893op/s 2618262.804op/s ± 1704.220op/s 2620245.039op/s 2622289.382op/s 2623052.445op/s 2623443.571op/s 0.20% -2.851 14.994 0.12% 231.429op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 193.950µs 194.631µs ± 0.363µs 194.587µs ± 0.184µs 194.786µs 195.031µs 195.246µs 197.444µs 1.47% 3.921 27.167 0.19% 0.026µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5064719.113op/s 5137957.579op/s ± 9513.239op/s 5139081.464op/s ± 4868.849op/s 5143056.311op/s 5148230.984op/s 5152463.805op/s 5155979.226op/s 0.33% -3.845 26.448 0.18% 672.688op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.083µs 36.302µs ± 0.118µs 36.294µs ± 0.053µs 36.345µs 36.450µs 36.581µs 37.160µs 2.39% 3.516 22.866 0.32% 0.008µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26910978.948op/s 27546759.969op/s ± 88460.132op/s 27552838.144op/s ± 40161.434op/s 27594580.425op/s 27657934.957op/s 27690460.267op/s 27713952.918op/s 0.58% -3.396 21.807 0.32% 6255.076op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 44.897µs 45.116µs ± 0.255µs 45.074µs ± 0.171µs 45.266µs 45.421µs 45.558µs 47.196µs 4.71% 3.612 24.354 0.56% 0.018µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21188061.704op/s 22165540.607op/s ± 122851.283op/s 22185670.646op/s ± 84556.288op/s 22268820.416op/s 22272535.881op/s 22273171.249op/s 22273418.086op/s 0.40% -3.395 22.096 0.55% 8686.898op/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 [534.833µs; 535.065µs] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1868939.307op/s; 1869743.661op/s] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [381.881µs; 382.014µs] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2617711.195op/s; 2618618.379op/s] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [194.580µs; 194.681µs] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5136639.135op/s; 5139276.022op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.286µs; 36.319µs] or [-0.045%; +0.045%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27534500.245op/s; 27559019.692op/s] or [-0.045%; +0.045%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.081µs; 45.152µs] or [-0.078%; +0.078%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [22148514.600op/s; 22182566.613op/s] 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 1142313 1773426274 julio/release-copy
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 185.822µs 186.325µs ± 0.272µs 186.295µs ± 0.164µs 186.461µs 186.746µs 187.436µs 187.835µs 0.83% 1.817 6.882 0.15% 0.019µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5323822.148op/s 5366978.946op/s ± 7821.445op/s 5367821.587op/s ± 4734.456op/s 5372321.889op/s 5376416.205op/s 5379223.402op/s 5381494.842op/s 0.25% -1.793 6.734 0.15% 553.060op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.955µs 18.032µs ± 0.034µs 18.030µs ± 0.022µs 18.053µs 18.086µs 18.107µs 18.193µs 0.90% 0.563 1.924 0.19% 0.002µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 54967338.315op/s 55457202.933op/s ± 105200.676op/s 55462263.996op/s ± 67569.894op/s 55521224.161op/s 55629975.591op/s 55666928.743op/s 55695444.206op/s 0.42% -0.543 1.853 0.19% 7438.811op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 9.807µs 9.892µs ± 0.123µs 9.844µs ± 0.017µs 9.892µs 10.138µs 10.212µs 10.892µs 10.64% 3.644 21.292 1.24% 0.009µs 1 200
normalization/normalize_name/normalize_name/good throughput 91810566.499op/s 101105253.991op/s ± 1204612.448op/s 101581928.512op/s ± 172260.221op/s 101738251.592op/s 101868096.215op/s 101910795.235op/s 101969076.536op/s 0.38% -3.311 17.279 1.19% 85178.963op/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 [186.287µs; 186.363µs] or [-0.020%; +0.020%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5365894.969op/s; 5368062.924op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.027µs; 18.037µs] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55442623.131op/s; 55471782.735op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/good execution_time [9.875µs; 9.909µs] or [-0.172%; +0.172%] None None None
normalization/normalize_name/normalize_name/good throughput [100938306.292op/s; 101272201.691op/s] or [-0.165%; +0.165%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 2.363µs 2.396µs ± 0.011µs 2.396µs ± 0.006µs 2.401µs 2.420µs 2.426µs 2.429µs 1.40% 0.587 1.302 0.45% 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 [2.394µs; 2.397µs] or [-0.063%; +0.063%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 87.871µs 88.228µs ± 0.230µs 88.237µs ± 0.061µs 88.288µs 88.367µs 88.439µs 91.025µs 3.16% 8.877 107.345 0.26% 0.016µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [88.196µs; 88.260µs] or [-0.036%; +0.036%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 1142313 1773426274 julio/release-copy
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 4.173ms 4.180ms ± 0.008ms 4.179ms ± 0.002ms 4.181ms 4.184ms 4.187ms 4.278ms 2.37% 11.249 143.752 0.18% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.179ms; 4.181ms] or [-0.025%; +0.025%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Mar 13, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 100.39 MB 100.39 MB +0% (+888 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.70 MB 8.70 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 117.09 MB 117.08 MB -0% (-3.97 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.28 MB 11.28 MB -0% (-328 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.18 MB 27.18 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 76.61 KB 76.61 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.15 MB 186.15 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 917.36 MB 917.36 MB +0% (+3.61 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.94 MB 9.94 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 76.61 KB 76.61 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 24.78 MB 24.78 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.46 MB 51.46 MB +0% (+668 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 22.98 MB 22.97 MB --.04% (-11.00 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.80 KB 77.80 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.33 MB 190.32 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 901.01 MB 901.02 MB +0% (+7.44 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.54 MB 7.54 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.80 KB 77.80 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 26.53 MB 26.53 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.08 MB 47.08 MB +0% (+2.22 KB) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 87.60 MB 87.60 MB -0% (-32 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.22 MB 10.22 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 109.96 MB 109.95 MB -0% (-2.14 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.96 MB 11.96 MB +0% (+160 B) 👌

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