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chore(deps): bump tracing-subscriber to remove regex dep duplicate#1608

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paullegranddc merged 2 commits intomainfrom
paullgdc/deps/bump_tracing_subscriber_0.3.22
Feb 20, 2026
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chore(deps): bump tracing-subscriber to remove regex dep duplicate#1608
paullegranddc merged 2 commits intomainfrom
paullgdc/deps/bump_tracing_subscriber_0.3.22

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@paullegranddc paullegranddc commented Feb 19, 2026

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

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How to test the change?

Describe here in detail how the change can be validated.

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github-actions bot commented Feb 19, 2026 •
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📚 Documentation Check Results

⚠️ 470 documentation warning(s) found

📦 libdd-log - 4 warning(s)

📦 libdd-telemetry - 466 warning(s)

Updated: 2026-02-19 22:57:21 UTC | Commit: 4aa7890 | missing-docs job results

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🔒 Cargo Deny Results

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

📦 libdd-log - 1 error(s)

Show output 
error[vulnerability]: Denial of Service via Stack Exhaustion
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:50:1
   │
50 │ 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

advisories FAILED, bans ok, sources ok

📦 libdd-telemetry - 1 error(s)

Show output 
error[vulnerability]: Integer overflow in `BytesMut::reserve`
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:11:1
   │
11 │ bytes 1.8.0 registry+https://github.com/rust-lang/crates.io-index
   │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
   │
   ├ ID: RUSTSEC-2026-0007
   ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0007
   ├ In the unique reclaim path of `BytesMut::reserve`, the condition
     ```rs
     if v_capacity >= new_cap + offset
     ```
     uses an unchecked addition. When `new_cap + offset` overflows `usize` in release builds, this condition may incorrectly pass, causing `self.cap` to be set to a value that exceeds the actual allocated capacity. Subsequent APIs such as `spare_capacity_mut()` then trust this corrupted `cap` value and may create out-of-bounds slices, leading to UB.
     
     This behavior is observable in release builds (integer overflow wraps), whereas debug builds panic due to overflow checks.
     
     ## PoC
     
     ```rs
     use bytes::*;
     
     fn main() {
         let mut a = BytesMut::from(&b"hello world"[..]);
         let mut b = a.split_off(5);
     
         // Ensure b becomes the unique owner of the backing storage
         drop(a);
     
         // Trigger overflow in new_cap + offset inside reserve
         b.reserve(usize::MAX - 6);
     
         // This call relies on the corrupted cap and may cause UB & HBO
         b.put_u8(b'h');
     }
     ```
     
     # Workarounds
     
     Users of `BytesMut::reserve` are only affected if integer overflow checks are configured to wrap. When integer overflow is configured to panic, this issue does not apply.
   ├ Announcement: https://github.com/advisories/GHSA-434x-w66g-qw3r
   ├ Solution: Upgrade to >=1.11.1 (try `cargo update -p bytes`)
   ├ bytes v1.8.0
     ├── http v1.1.0
     │   ├── http-body v1.0.1
     │   │   ├── http-body-util v0.1.2
     │   │   │   ├── libdd-common v1.1.0
     │   │   │   │   └── libdd-telemetry v2.0.0
     │   │   │   └── libdd-telemetry v2.0.0 (*)
     │   │   ├── hyper v1.6.0
     │   │   │   ├── hyper-rustls v0.27.3
     │   │   │   │   └── libdd-common v1.1.0 (*)
     │   │   │   ├── hyper-util v0.1.17
     │   │   │   │   ├── hyper-rustls v0.27.3 (*)
     │   │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   │   └── libdd-telemetry v2.0.0 (*)
     │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   └── libdd-telemetry v2.0.0 (*)
     │   │   ├── hyper-util v0.1.17 (*)
     │   │   └── libdd-common v1.1.0 (*)
     │   ├── http-body-util v0.1.2 (*)
     │   ├── hyper v1.6.0 (*)
     │   ├── hyper-rustls v0.27.3 (*)
     │   ├── hyper-util v0.1.17 (*)
     │   ├── libdd-common v1.1.0 (*)
     │   ├── libdd-telemetry v2.0.0 (*)
     │   └── multer v3.1.0
     │       └── (dev) libdd-common v1.1.0 (*)
     ├── http-body v1.0.1 (*)
     ├── http-body-util v0.1.2 (*)
     ├── hyper v1.6.0 (*)
     ├── hyper-util v0.1.17 (*)
     ├── (dev) libdd-common v1.1.0 (*)
     ├── multer v3.1.0 (*)
     ├── prost v0.14.3
     │   └── libdd-ddsketch v1.0.0
     │       └── libdd-telemetry v2.0.0 (*)
     ├── tokio v1.49.0
     │   ├── hyper v1.6.0 (*)
     │   ├── hyper-rustls v0.27.3 (*)
     │   ├── hyper-util v0.1.17 (*)
     │   ├── (dev) libdd-common v1.1.0 (*)
     │   ├── (dev) libdd-telemetry v2.0.0 (*)
     │   ├── tokio-rustls v0.26.0
     │   │   ├── hyper-rustls v0.27.3 (*)
     │   │   └── libdd-common v1.1.0 (*)
     │   └── tokio-util v0.7.12
     │       └── libdd-telemetry v2.0.0 (*)
     └── tokio-util v0.7.12 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-02-19 23:00:33 UTC | Commit: 4aa7890 | dependency-check job results

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codecov-commenter commented Feb 19, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.12%. Comparing base (bf953c0) to head (4bfab49).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1608      +/-   ##
==========================================
- Coverage   71.22%   71.12%   -0.11%     
==========================================
  Files         423      423              
  Lines       62130    62183      +53     
==========================================
- Hits        44253    44225      -28     
- Misses      17877    17958      +81
Components Coverage Δ
libdd-crashtracker 62.64% <ø> (-0.05%) ⬇️
libdd-crashtracker-ffi 16.90% <ø> (-0.47%) ⬇️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 86.49% <ø> (-0.43%) ⬇️
libdd-data-pipeline-ffi 72.59% <ø> (-0.97%) ⬇️
libdd-common 80.17% <ø> (ø)
libdd-common-ffi 73.40% <ø> (ø)
libdd-telemetry 62.52% <ø> (ø)
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.74% <ø> (+0.02%) ⬆️
libdd-profiling 81.56% <ø> (+0.01%) ⬆️
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 32.92% <ø> (-0.73%) ⬇️
datdog-sidecar-ffi 10.11% <ø> (-3.15%) ⬇️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 94.21% <ø> (ø)
libdd-trace-protobuf 68.00% <ø> (ø)
libdd-trace-utils 88.96% <ø> (-0.14%) ⬇️
datadog-tracer-flare 88.28% <ø> (-2.17%) ⬇️
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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pr-commenter bot commented Feb 19, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-02-19 23:12:58

Comparing candidate commit 4bfab49 in PR branch paullgdc/deps/bump_tracing_subscriber_0.3.22 with baseline commit bf953c0 in branch main.

Found 1 performance improvements and 1 performance regressions! Performance is the same for 55 metrics, 2 unstable metrics.

scenario:benching serializing traces from their internal representation to msgpack

  • 🟩 execution_time [-682.537µs; -667.683µs] or [-4.658%; -4.557%]

scenario:sql/obfuscate_sql_string

  • 🟥 execution_time [+5.429µs; +5.513µs] or [+6.345%; +6.443%]

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 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 246.542ns 256.082ns ± 13.488ns 249.339ns ± 1.792ns 261.031ns 285.614ns 292.662ns 294.883ns 18.27% 1.492 0.725 5.25% 0.954ns 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 [254.213ns; 257.952ns] or [-0.730%; +0.730%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 186.664ns 189.186ns ± 1.947ns 188.886ns ± 1.167ns 190.197ns 192.694ns 194.845ns 200.647ns 6.23% 1.822 6.496 1.03% 0.138ns 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 [188.916ns; 189.456ns] or [-0.143%; +0.143%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 185.428µs 185.894µs ± 0.354µs 185.813µs ± 0.144µs 185.967µs 186.918µs 187.208µs 187.306µs 0.80% 2.209 5.137 0.19% 0.025µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5338865.109op/s 5379436.455op/s ± 10210.150op/s 5381750.069op/s ± 4177.204op/s 5385298.230op/s 5389114.585op/s 5390788.988op/s 5392931.700op/s 0.21% -2.196 5.083 0.19% 721.967op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.826µs 17.934µs ± 0.059µs 17.930µs ± 0.030µs 17.960µs 18.006µs 18.041µs 18.469µs 3.01% 3.797 33.254 0.33% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 54143439.507op/s 55760177.178op/s ± 179735.329op/s 55772616.902op/s ± 92683.928op/s 55864393.851op/s 56004566.986op/s 56044115.162op/s 56097598.602op/s 0.58% -3.599 30.954 0.32% 12709.207op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 9.786µs 9.836µs ± 0.021µs 9.836µs ± 0.014µs 9.852µs 9.869µs 9.876µs 9.883µs 0.48% -0.086 -0.654 0.21% 0.001µs 1 200
normalization/normalize_name/normalize_name/good throughput 101185092.063op/s 101665687.835op/s ± 215783.349op/s 101666522.254op/s ± 145657.422op/s 101808116.016op/s 102027885.382op/s 102111050.830op/s 102188379.633op/s 0.51% 0.094 -0.652 0.21% 15258.187op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... execution_time [185.845µs; 185.943µs] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5378021.427op/s; 5380851.484op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.926µs; 17.942µs] or [-0.045%; +0.045%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55735267.590op/s; 55785086.766op/s] or [-0.045%; +0.045%] None None None
normalization/normalize_name/normalize_name/good execution_time [9.833µs; 9.839µs] or [-0.029%; +0.029%] None None None
normalization/normalize_name/normalize_name/good throughput [101635782.338op/s; 101695593.332op/s] or [-0.029%; +0.029%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 159.629µs 160.180µs ± 0.258µs 160.129µs ± 0.120µs 160.266µs 160.676µs 160.977µs 161.580µs 0.91% 1.609 4.733 0.16% 0.018µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [160.144µs; 160.216µs] or [-0.022%; +0.022%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 4.192ms 4.198ms ± 0.008ms 4.197ms ± 0.002ms 4.199ms 4.202ms 4.213ms 4.308ms 2.64% 11.466 147.509 0.20% 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 [4.197ms; 4.199ms] or [-0.028%; +0.028%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 13.923ms 13.977ms ± 0.039ms 13.969ms ± 0.015ms 13.987ms 14.022ms 14.070ms 14.371ms 2.88% 5.744 51.046 0.28% 0.003ms 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 [13.971ms; 13.982ms] or [-0.039%; +0.039%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 3.892µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.918µs 3.919µs 0.18% -1.596 13.000 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255163364.451op/s 255625940.912op/s ± 178019.199op/s 255632593.156op/s ± 94739.960op/s 255722702.149op/s 255866527.206op/s 255913573.719op/s 256930385.536op/s 0.51% 1.622 13.212 0.07% 12587.858op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 76.635µs 77.710µs ± 0.603µs 77.680µs ± 0.448µs 78.103µs 78.679µs 79.241µs 79.892µs 2.85% 0.444 0.053 0.77% 0.043µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12516973.113op/s 12869176.018op/s ± 99532.366op/s 12873340.172op/s ± 74207.120op/s 12948732.880op/s 13017778.222op/s 13039496.038op/s 13048948.528op/s 1.36% -0.402 -0.037 0.77% 7038.001op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 69.828µs 70.895µs ± 0.682µs 70.800µs ± 0.472µs 71.309µs 72.049µs 72.548µs 73.205µs 3.40% 0.536 -0.197 0.96% 0.048µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13660249.396op/s 14106675.238op/s ± 135020.278op/s 14124298.002op/s ± 94284.425op/s 14213440.233op/s 14290988.656op/s 14305895.847op/s 14320827.687op/s 1.39% -0.493 -0.285 0.95% 9547.375op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.892µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.916µs 3.917µs 3.919µs 0.20% -1.711 14.523 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 255146892.566op/s 255644885.308op/s ± 170596.521op/s 255650327.142op/s ± 92417.339op/s 255742734.613op/s 255853730.998op/s 255894883.465op/s 256927238.648op/s 0.50% 1.739 14.752 0.07% 12062.996op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 66.897µs 68.301µs ± 0.695µs 68.262µs ± 0.475µs 68.686µs 69.636µs 69.992µs 70.099µs 2.69% 0.408 -0.216 1.02% 0.049µs 1 200
credit_card/is_card_number/378282246310005 throughput 14265590.990op/s 14642608.747op/s ± 148512.716op/s 14649459.952op/s ± 101991.873op/s 14752628.943op/s 14848873.812op/s 14933577.788op/s 14948445.538op/s 2.04% -0.358 -0.262 1.01% 10501.435op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.149µs 52.209µs ± 0.032µs 52.204µs ± 0.023µs 52.229µs 52.265µs 52.287µs 52.301µs 0.19% 0.600 -0.190 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19120057.129op/s 19153902.228op/s ± 11751.341op/s 19155553.370op/s ± 8599.125op/s 19163742.201op/s 19169936.843op/s 19171867.567op/s 19175972.506op/s 0.11% -0.597 -0.194 0.06% 830.945op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.028µs 6.035µs ± 0.006µs 6.033µs ± 0.002µs 6.037µs 6.044µs 6.050µs 6.093µs 0.99% 4.948 41.439 0.10% 0.000µs 1 200
credit_card/is_card_number/x371413321323331 throughput 164111359.753op/s 165701781.550op/s ± 166381.291op/s 165741642.368op/s ± 58685.234op/s 165786239.742op/s 165860441.205op/s 165889049.740op/s 165897713.753op/s 0.09% -4.891 40.674 0.10% 11764.934op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.891µs 3.912µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.918µs 3.920µs 3.923µs 0.30% -0.559 8.932 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254922740.564op/s 255635008.718op/s ± 205655.320op/s 255678254.564op/s ± 99079.735op/s 255762706.628op/s 255855990.287op/s 255896226.622op/s 256987145.819op/s 0.51% 0.585 9.086 0.08% 14542.027op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.092µs 64.456µs ± 0.156µs 64.436µs ± 0.110µs 64.568µs 64.723µs 64.863µs 64.911µs 0.74% 0.434 -0.095 0.24% 0.011µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15405741.305op/s 15514645.451op/s ± 37498.675op/s 15519296.561op/s ± 26488.293op/s 15542439.746op/s 15564275.707op/s 15593526.533op/s 15602505.762op/s 0.54% -0.422 -0.109 0.24% 2651.557op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 58.094µs 58.361µs ± 0.153µs 58.332µs ± 0.073µs 58.414µs 58.677µs 58.950µs 59.077µs 1.28% 1.732 4.344 0.26% 0.011µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 16927031.308op/s 17134958.682op/s ± 44636.877op/s 17143233.611op/s ± 21526.895op/s 17163621.278op/s 17187991.459op/s 17198749.167op/s 17213607.357op/s 0.41% -1.706 4.221 0.26% 3156.304op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.891µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.918µs 3.921µs 0.23% -1.774 14.629 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255017725.577op/s 255605944.134op/s ± 188890.790op/s 255604966.085op/s ± 108392.455op/s 255716832.563op/s 255849088.382op/s 255944485.100op/s 257027108.067op/s 0.56% 1.804 14.879 0.07% 13356.596op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.584µs 54.792µs ± 0.179µs 54.753µs ± 0.092µs 54.865µs 55.066µs 55.532µs 55.881µs 2.06% 2.573 10.470 0.33% 0.013µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 17895196.343op/s 18250919.863op/s ± 59191.903op/s 18263896.849op/s ± 30901.940op/s 18292756.983op/s 18307157.276op/s 18315334.261op/s 18320469.461op/s 0.31% -2.517 10.048 0.32% 4185.500op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.151µs 52.208µs ± 0.031µs 52.205µs ± 0.019µs 52.224µs 52.256µs 52.295µs 52.391µs 0.36% 1.435 5.384 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19087342.686op/s 19154213.462op/s ± 11398.404op/s 19155267.661op/s ± 7029.831op/s 19162183.431op/s 19169509.171op/s 19173198.151op/s 19174991.975op/s 0.10% -1.425 5.323 0.06% 805.989op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.028µs 6.037µs ± 0.011µs 6.034µs ± 0.002µs 6.037µs 6.048µs 6.082µs 6.127µs 1.53% 5.097 31.251 0.18% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 163220131.258op/s 165652779.935op/s ± 303649.962op/s 165722911.196op/s ± 62552.027op/s 165773889.567op/s 165837612.051op/s 165872939.625op/s 165887436.214op/s 0.10% -5.057 30.769 0.18% 21471.295op/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; 3.912µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255601269.163op/s; 255650612.661op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [77.626µs; 77.793µs] or [-0.108%; +0.108%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12855381.789op/s; 12882970.246op/s] or [-0.107%; +0.107%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [70.800µs; 70.989µs] or [-0.133%; +0.133%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14087962.726op/s; 14125387.749op/s] or [-0.133%; +0.133%] None None None
credit_card/is_card_number/37828224631 execution_time [3.911µs; 3.912µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631 throughput [255621242.271op/s; 255668528.345op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.204µs; 68.397µs] or [-0.141%; +0.141%] None None None
credit_card/is_card_number/378282246310005 throughput [14622026.313op/s; 14663191.181op/s] or [-0.141%; +0.141%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.204µs; 52.213µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19152273.605op/s; 19155530.851op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.034µs; 6.036µs] or [-0.014%; +0.014%] None None None
credit_card/is_card_number/x371413321323331 throughput [165678722.704op/s; 165724840.397op/s] or [-0.014%; +0.014%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.911µs; 3.912µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ throughput [255606506.869op/s; 255663510.568op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.434µs; 64.477µs] or [-0.034%; +0.034%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15509448.495op/s; 15519842.407op/s] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [58.339µs; 58.382µs] or [-0.036%; +0.036%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17128772.440op/s; 17141144.924op/s] or [-0.036%; +0.036%] 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 [255579765.687op/s; 255632122.581op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.768µs; 54.817µs] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18242716.435op/s; 18259123.292op/s] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.204µs; 52.212µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19152633.753op/s; 19155793.171op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.035µs; 6.038µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [165610696.971op/s; 165694862.899op/s] or [-0.025%; +0.025%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 33.978µs 34.604µs ± 1.100µs 34.094µs ± 0.053µs 34.173µs 36.965µs 36.991µs 37.846µs 11.00% 1.701 0.968 3.17% 0.078µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.451µs; 34.756µs] or [-0.440%; +0.440%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 17.737µs 25.012µs ± 9.026µs 18.115µs ± 0.262µs 32.671µs 42.117µs 42.821µs 66.741µs 268.42% 1.013 0.839 35.99% 0.638µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [23.761µs; 26.263µs] or [-5.001%; +5.001%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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/2597 execution_time 3.421ms 3.449ms ± 0.012ms 3.448ms ± 0.007ms 3.456ms 3.469ms 3.483ms 3.488ms 1.16% 0.381 0.738 0.34% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2597 execution_time [3.447ms; 3.450ms] or [-0.047%; +0.047%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 1.191µs 3.181µs ± 1.437µs 3.007µs ± 0.024µs 3.030µs 3.383µs 13.836µs 15.286µs 408.30% 7.503 56.993 45.05% 0.102µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [2.982µs; 3.380µs] or [-6.259%; +6.259%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 10.657ms 10.684ms ± 0.015ms 10.682ms ± 0.009ms 10.691ms 10.705ms 10.715ms 10.786ms 0.98% 2.202 11.833 0.14% 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 [10.682ms; 10.686ms] or [-0.019%; +0.019%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 90.699µs 91.037µs ± 0.211µs 91.023µs ± 0.081µs 91.097µs 91.286µs 91.428µs 93.349µs 2.56% 6.785 70.922 0.23% 0.015µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [91.008µs; 91.067µs] or [-0.032%; +0.032%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 49.213ms 49.607ms ± 0.978ms 49.499ms ± 0.065ms 49.549ms 49.681ms 52.368ms 62.057ms 25.37% 10.886 131.482 1.97% 0.069ms 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 [49.471ms; 49.742ms] or [-0.273%; +0.273%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 2.389µs 2.411µs ± 0.017µs 2.407µs ± 0.005µs 2.412µs 2.462µs 2.473µs 2.476µs 2.88% 2.513 6.085 0.70% 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 [2.408µs; 2.413µs] or [-0.097%; +0.097%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 144.615µs 146.262µs ± 1.680µs 146.023µs ± 0.513µs 146.495µs 147.724µs 151.589µs 162.362µs 11.19% 5.885 47.353 1.15% 0.119µs 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 [146.029µs; 146.494µs] or [-0.159%; +0.159%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 736.240µs 737.570µs ± 1.079µs 737.423µs ± 0.340µs 737.728µs 738.512µs 743.381µs 744.167µs 0.91% 4.051 19.820 0.15% 0.076µs 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 [737.421µs; 737.720µs] or [-0.020%; +0.020%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 5.023µs 5.077µs ± 0.032µs 5.080µs ± 0.031µs 5.110µs 5.129µs 5.131µs 5.132µs 1.03% 0.250 -1.344 0.63% 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 [5.073µs; 5.082µs] or [-0.088%; +0.088%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 4bfab49 1771541768 paullgdc/deps/bump_tracing_subscriber_0.3.22
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 495.105µs 495.855µs ± 0.408µs 495.818µs ± 0.215µs 496.032µs 496.479µs 496.673µs 499.245µs 0.69% 3.030 22.275 0.08% 0.029µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2003026.573op/s 2016719.794op/s ± 1655.158op/s 2016870.110op/s ± 874.351op/s 2017729.000op/s 2018796.895op/s 2019201.269op/s 2019771.770op/s 0.14% -2.994 21.880 0.08% 117.037op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.046µs 370.844µs ± 0.325µs 370.829µs ± 0.218µs 371.038µs 371.358µs 371.751µs 371.893µs 0.29% 0.438 0.369 0.09% 0.023µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2688945.162op/s 2696555.566op/s ± 2362.486op/s 2696657.722op/s ± 1585.777op/s 2698350.542op/s 2699875.891op/s 2701525.026op/s 2702365.463op/s 0.21% -0.433 0.360 0.09% 167.053op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.626µs 167.972µs ± 0.176µs 167.952µs ± 0.116µs 168.088µs 168.302µs 168.400µs 168.496µs 0.32% 0.486 -0.170 0.10% 0.012µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5934863.083op/s 5953364.718op/s ± 6223.078op/s 5954086.653op/s ± 4093.440op/s 5957700.328op/s 5961893.987op/s 5965033.123op/s 5965659.996op/s 0.19% -0.481 -0.177 0.10% 440.038op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.580µs 36.725µs ± 0.059µs 36.725µs ± 0.040µs 36.763µs 36.828µs 36.857µs 36.880µs 0.42% 0.129 -0.312 0.16% 0.004µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 27114740.913op/s 27229733.205op/s ± 43733.788op/s 27229299.995op/s ± 29741.405op/s 27260581.769op/s 27299915.508op/s 27317439.327op/s 27337390.605op/s 0.40% -0.121 -0.315 0.16% 3092.446op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.343µs 45.484µs ± 0.113µs 45.480µs ± 0.036µs 45.513µs 45.560µs 45.593µs 46.905µs 3.13% 9.848 121.216 0.25% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21319729.135op/s 21985712.889op/s ± 53545.000op/s 21987600.949op/s ± 17307.470op/s 22006601.006op/s 22032416.490op/s 22041217.622op/s 22053877.623op/s 0.30% -9.653 118.001 0.24% 3786.203op/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 [495.798µs; 495.912µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2016490.405op/s; 2016949.183op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [370.799µs; 370.889µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2696228.148op/s; 2696882.984op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [167.948µs; 167.997µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5952502.259op/s; 5954227.176op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.716µs; 36.733µs] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27223672.122op/s; 27235794.287op/s] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.469µs; 45.500µs] or [-0.035%; +0.035%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21978292.067op/s; 21993133.711op/s] or [-0.034%; +0.034%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Feb 19, 2026 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 97.94 MB 97.07 MB --.89% (-897.91 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 9.01 MB 8.51 MB --5.54% (-512.14 KB) 💪
aarch64-unknown-linux-gnu
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/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.58 MB 11.05 MB --4.53% (-537.30 KB) 💪
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 113.60 MB 112.72 MB --.77% (-905.54 KB) 💪
libdatadog-x64-windows
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/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.69 MB 27.13 MB --2.02% (-573.50 KB) 💪
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 76.26 KB 76.26 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 186.14 MB 185.80 MB --.18% (-352.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 918.80 MB 913.25 MB --.60% (-5.55 MB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 10.31 MB 9.93 MB --3.67% (-388.00 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 76.26 KB 76.26 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 24.96 MB 24.76 MB --.81% (-208.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 52.22 MB 51.41 MB --1.54% (-823.75 KB) 💪
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/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.45 MB 22.94 MB --2.16% (-519.00 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.44 KB 77.44 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.58 MB 190.05 MB --.27% (-536.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 904.30 MB 897.53 MB --.74% (-6.76 MB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.82 MB 7.53 MB --3.76% (-301.50 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.44 KB 77.44 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 26.73 MB 26.51 MB --.84% (-232.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.76 MB 47.04 MB --1.50% (-736.28 KB) 💪
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/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 86.07 MB 85.13 MB --1.09% (-963.41 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.52 MB 10.02 MB --4.75% (-512.12 KB) 💪
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/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 106.70 MB 105.75 MB --.89% (-972.58 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 12.27 MB 11.77 MB --4.01% (-504.07 KB) 💪

@paullegranddc paullegranddc force-pushed the paullgdc/deps/bump_tracing_subscriber_0.3.22 branch from f22cb76 to 83f014a Compare February 19, 2026 16:51
@paullegranddc paullegranddc marked this pull request as ready for review February 19, 2026 16:52
@paullegranddc paullegranddc requested review from a team as code owners February 19, 2026 16:52
@paullegranddc paullegranddc merged commit 0e8a89e into main Feb 20, 2026
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@paullegranddc paullegranddc deleted the paullgdc/deps/bump_tracing_subscriber_0.3.22 branch February 20, 2026 10:37
This was referenced Feb 20, 2026
Closed
Merged
paullegranddc pushed a commit that referenced this pull request Feb 23, 2026
@dd-octo-sts
chore(release): proposal for libdd-data-pipeline (#1623)
47eb5f8 
# Release proposal for libdd-data-pipeline and its dependencies

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

## libdd-common
**Next version:** `2.0.0`

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

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- feat!: enable non-blocking DNS for reqwest (#1558)
- feat: unify Azure tags (#1553)
- feat(common): add current thread id API (#1569)
- refactor!: switch from multipart to multer to resolve deprecation
warnings and dependabot alerts (#1540)
- feat: single source of truth for headers (fixes issue in profiling
with missing headers) (#1493)
- refactor!: make reqwest available in common (#1504)
## libdd-ddsketch
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-ddsketch-v1.0.1`

### Commits

- chore: remove manual changelog modifications (#1472)
- build: update `prost` crates (#1426)
- chore: add changelog for every published crate (#1396)
## libdd-trace-protobuf
**Next version:** `1.1.0`

**Semver bump:** `minor`
**Tag:** `libdd-trace-protobuf-v1.1.0`

### Commits

- chore: remove manual changelog modifications (#1472)
- build: update `prost` crates (#1426)
- chore: add changelog for every published crate (#1396)
- Handle null span tag values (#1394)
## libdd-dogstatsd-client
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-dogstatsd-client-v1.0.1`

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- chore: release libddcommon-v1.1.0 (#1456)
- chore: add changelog for every published crate (#1396)
- style: fix recent clippy warnings (#1346)
## libdd-telemetry
**Next version:** `3.0.0`

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

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- chore(deps): bump tracing-subscriber to remove regex dep duplicate
(#1608)
- feat(telemetry)!: add process_tags to Application in telemetry (#1459)
- fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498)
- feat(appsec): add endpoints collection (#1182)
## libdd-trace-normalization
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-trace-normalization-v1.0.1`

### Commits

- Prevent span start overflow panic (#1373)
- [CHAOSPLT-932] Add support for internal fuzzing infra  (#1372)
- chore: add changelog for every published crate (#1396)
## libdd-trace-utils
**Next version:** `2.0.0`

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

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- feat: unify Azure tags (#1553)
- fix(serverless): set hostname on stats from tracer to empty string
(#1530)
- chore: remove manual changelog modifications (#1472)
- feat(sidecar)!: introduce TraceData to unify text and binary data
(#1247)
- chore: release libddcommon-v1.1.0 (#1456)
- fix(test-agent): undo commenting arg in docker cmd (#1439)
- [SLES-2652] Log error details when trace request fails (2) (#1441)
- build: update `prost` crates (#1426)
- chore(trace-utils): bump the test agent version used for integration
tests (#1417)
- [Serverless] Skip AAS metadata tagging when span is from API
Management (#1409)
- chore: add changelog for every published crate (#1396)
- Handle null span tag values (#1394)
- [SVLS-7934] Log error details when trace request fails (#1392)
- Fix trace utils clippy warning (#1397)
- feat(trace_utils): Allow sending trace stats using custom HTTP client
(#1345)
## libdd-trace-stats
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-trace-stats-v1.0.1`

### Commits

- feat(sidecar)!: introduce TraceData to unify text and binary data
(#1247)
- chore: add changelog for every published crate (#1396)
## libdd-data-pipeline
**Next version:** `2.0.0`

**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v2.0.0`

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- refactor(trace_exporter)!: remove Proxy TraceExporter input mode
(#1583)
- refactor(libdd-data-pipeline): health metrics (#1433)
- feat(data-pipeline)!: include reason for chunks dropped telemetry
(#1449)
- feat(sidecar)!: introduce TraceData to unify text and binary data
(#1247)
- chore: release libddcommon-v1.1.0 (#1456)
- chore: prepare libdd-telemetry-v2.0.0 (#1457)
- Allow submitting Vec<Vec<Span>> asynchronously (#1302)
- test(data-pipeline): handle EINTR in test_health_metrics_disabled
(#1430)
- chore: add changelog for every published crate (#1396)

[APMSP-2590]:
https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

---------

Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>
dd-octo-sts bot added a commit that referenced this pull request Feb 25, 2026
@dd-octo-sts
chore(release): proposal for libdd-data-pipeline (#1623)
144f58b 
# Release proposal for libdd-data-pipeline and its dependencies

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

## libdd-common
**Next version:** `2.0.0`

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

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- feat!: enable non-blocking DNS for reqwest (#1558)
- feat: unify Azure tags (#1553)
- feat(common): add current thread id API (#1569)
- refactor!: switch from multipart to multer to resolve deprecation
warnings and dependabot alerts (#1540)
- feat: single source of truth for headers (fixes issue in profiling
with missing headers) (#1493)
- refactor!: make reqwest available in common (#1504)
## libdd-ddsketch
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-ddsketch-v1.0.1`

### Commits

- chore: remove manual changelog modifications (#1472)
- build: update `prost` crates (#1426)
- chore: add changelog for every published crate (#1396)
## libdd-trace-protobuf
**Next version:** `1.1.0`

**Semver bump:** `minor`
**Tag:** `libdd-trace-protobuf-v1.1.0`

### Commits

- chore: remove manual changelog modifications (#1472)
- build: update `prost` crates (#1426)
- chore: add changelog for every published crate (#1396)
- Handle null span tag values (#1394)
## libdd-dogstatsd-client
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-dogstatsd-client-v1.0.1`

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- chore: release libddcommon-v1.1.0 (#1456)
- chore: add changelog for every published crate (#1396)
- style: fix recent clippy warnings (#1346)
## libdd-telemetry
**Next version:** `3.0.0`

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

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- chore(deps): bump tracing-subscriber to remove regex dep duplicate
(#1608)
- feat(telemetry)!: add process_tags to Application in telemetry (#1459)
- fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498)
- feat(appsec): add endpoints collection (#1182)
## libdd-trace-normalization
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-trace-normalization-v1.0.1`

### Commits

- Prevent span start overflow panic (#1373)
- [CHAOSPLT-932] Add support for internal fuzzing infra  (#1372)
- chore: add changelog for every published crate (#1396)
## libdd-trace-utils
**Next version:** `2.0.0`

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

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- feat: unify Azure tags (#1553)
- fix(serverless): set hostname on stats from tracer to empty string
(#1530)
- chore: remove manual changelog modifications (#1472)
- feat(sidecar)!: introduce TraceData to unify text and binary data
(#1247)
- chore: release libddcommon-v1.1.0 (#1456)
- fix(test-agent): undo commenting arg in docker cmd (#1439)
- [SLES-2652] Log error details when trace request fails (2) (#1441)
- build: update `prost` crates (#1426)
- chore(trace-utils): bump the test agent version used for integration
tests (#1417)
- [Serverless] Skip AAS metadata tagging when span is from API
Management (#1409)
- chore: add changelog for every published crate (#1396)
- Handle null span tag values (#1394)
- [SVLS-7934] Log error details when trace request fails (#1392)
- Fix trace utils clippy warning (#1397)
- feat(trace_utils): Allow sending trace stats using custom HTTP client
(#1345)
## libdd-trace-stats
**Next version:** `1.0.1`

**Semver bump:** `patch`
**Tag:** `libdd-trace-stats-v1.0.1`

### Commits

- feat(sidecar)!: introduce TraceData to unify text and binary data
(#1247)
- chore: add changelog for every published crate (#1396)
## libdd-data-pipeline
**Next version:** `2.0.0`

**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v2.0.0`

### Commits

- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- refactor(trace_exporter)!: remove Proxy TraceExporter input mode
(#1583)
- refactor(libdd-data-pipeline): health metrics (#1433)
- feat(data-pipeline)!: include reason for chunks dropped telemetry
(#1449)
- feat(sidecar)!: introduce TraceData to unify text and binary data
(#1247)
- chore: release libddcommon-v1.1.0 (#1456)
- chore: prepare libdd-telemetry-v2.0.0 (#1457)
- Allow submitting Vec<Vec<Span>> asynchronously (#1302)
- test(data-pipeline): handle EINTR in test_health_metrics_disabled
(#1430)
- chore: add changelog for every published crate (#1396)

[APMSP-2590]:
https://datadoghq.atlassian.net/browse/APMSP-2590?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

---------

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