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feat(obfuscation/json): Init json obfuscation [APMSP-2665]#1635

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oscarld/init-json-obfuscation
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feat(obfuscation/json): Init json obfuscation [APMSP-2665]#1635
Eldolfin wants to merge 15 commits intomainfrom
oscarld/init-json-obfuscation

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@Eldolfin Eldolfin commented Feb 26, 2026 •
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What does this PR do?

  • Port the json obfuscator from the agent

Motivation

Making libdatadog’s obfuscation feature equivalent to the Agent’s implementation.

Additional Notes

  • This is not really enough to get full parity because go's json Marshaller doesn't use the exact same format as serde_json's serializer. If the output needs to be byte-per-byte equal a custom serializer needs to be added. (Actually it was not that different, I only needed to change space changes outside top level json objects)
  • Added custom json lexer like in the agent to handle invalid/unterminated jsons

How to test the change?

@Eldolfin Eldolfin requested review from a team as code owners February 26, 2026 16:57
@Eldolfin Eldolfin requested review from Copilot and removed request for a team February 26, 2026 16:57
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github-actions bot commented Feb 26, 2026 •
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📚 Documentation Check Results

⚠️ 522 documentation warning(s) found

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

Updated: 2026-03-09 17:42:21 UTC | Commit: e38d895 | missing-docs job results

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Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/oscarld/init-json-obfuscation

Summary by Rule

Rule Base Branch PR Branch Change

Annotation Counts by File

File Base Branch PR Branch Change

Annotation Stats by Crate

Crate Base Branch PR Branch Change
clippy-annotation-reporter 5 5 No change (0%)
datadog-ffe-ffi 1 1 No change (0%)
datadog-ipc 28 28 No change (0%)
datadog-live-debugger 6 6 No change (0%)
datadog-live-debugger-ffi 10 10 No change (0%)
datadog-profiling-replayer 4 4 No change (0%)
datadog-remote-config 3 3 No change (0%)
datadog-sidecar 59 59 No change (0%)
libdd-common 10 10 No change (0%)
libdd-common-ffi 12 12 No change (0%)
libdd-data-pipeline 5 5 No change (0%)
libdd-ddsketch 2 2 No change (0%)
libdd-dogstatsd-client 1 1 No change (0%)
libdd-profiling 13 13 No change (0%)
libdd-telemetry 19 19 No change (0%)
libdd-tinybytes 4 4 No change (0%)
libdd-trace-normalization 2 2 No change (0%)
libdd-trace-obfuscation 9 9 No change (0%)
libdd-trace-utils 15 15 No change (0%)
Total 208 208 No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

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🔒 Cargo Deny Results

✅ No issues found!

📦 libdd-trace-obfuscation - ✅ No issues

Updated: 2026-03-09 17:45:21 UTC | Commit: e38d895 | dependency-check job results

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Pull request overview

Ports JSON obfuscation functionality into libdd-trace-obfuscation, aiming to match the Datadog Agent’s behavior and supporting SQL obfuscation/normalization for JSON plan use-cases.

Changes:

  • Added a new JsonObfuscator that obfuscates JSON leaf values with support for keep-lists and key-based transformations (e.g., SQL obfuscation).
  • Enhanced SQL obfuscation to handle quoted literals with suffixes (e.g. 'value'::type) and added a “plan SQL” normalization pass.
  • Enabled serde_json’s preserve_order feature to keep object key order stable.

Reviewed changes

Copilot reviewed 4 out of 5 changed files in this pull request and generated 3 comments.

Show a summary per file
File Description
libdd-trace-obfuscation/src/sql.rs Adds quoted-literal handling for casts and introduces normalized SQL output for JSON plan obfuscation.
libdd-trace-obfuscation/src/lib.rs Exposes the new json module.
libdd-trace-obfuscation/src/json.rs Implements JsonObfuscator plus unit tests.
libdd-trace-obfuscation/Cargo.toml Enables serde_json preserve_order feature.
Cargo.lock Updates lockfile for new transitive deps (e.g., indexmap).

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Codecov Report

❌ Patch coverage is 85.23132% with 83 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.22%. Comparing base (79f879e) to head (e2ef20e).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1635      +/-   ##
==========================================
+ Coverage   71.05%   71.22%   +0.16%     
==========================================
  Files         427      429       +2     
  Lines       62963    63505     +542     
==========================================
+ Hits        44738    45229     +491     
- Misses      18225    18276      +51
Components Coverage Δ
libdd-crashtracker 62.36% <ø> (-0.09%) ⬇️
libdd-crashtracker-ffi 16.56% <ø> (-0.93%) ⬇️
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 88.38% <ø> (+0.36%) ⬆️
libdd-data-pipeline-ffi 77.04% <ø> (+1.32%) ⬆️
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 80.35% <ø> (ø)
libdd-profiling 81.60% <ø> (ø)
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 32.49% <ø> (+0.01%) ⬆️
datdog-sidecar-ffi 7.81% <ø> (+0.07%) ⬆️
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 91.75% <85.23%> (-2.95%) ⬇️
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 89.08% <ø> (ø)
datadog-tracer-flare 90.45% <ø> (+1.49%) ⬆️
libdd-log 74.69% <ø> (ø)
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  • ❄️ 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: 2026-03-09 17:57:54

Comparing candidate commit e2ef20e in PR branch oscarld/init-json-obfuscation with baseline commit 79f879e in branch main.

Found 17 performance improvements and 8 performance regressions! Performance is the same for 33 metrics, 2 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:credit_card/is_card_number/ 378282246310005

  • 🟩 execution_time [-5.111µs; -5.023µs] or [-7.003%; -6.882%]
  • 🟩 throughput [+1013603.314op/s; +1030297.317op/s] or [+7.398%; +7.520%]

scenario:credit_card/is_card_number/378282246310005

  • 🟩 execution_time [-5.041µs; -4.954µs] or [-7.232%; -7.108%]
  • 🟩 throughput [+1098956.705op/s; +1116761.481op/s] or [+7.660%; +7.784%]

scenario:credit_card/is_card_number/37828224631000521389798

  • 🟩 execution_time [-6.549µs; -6.510µs] or [-12.542%; -12.468%]
  • 🟩 throughput [+2728977.384op/s; +2745538.579op/s] or [+14.249%; +14.336%]

scenario:credit_card/is_card_number/x371413321323331

  • 🟥 execution_time [+586.864ns; +591.849ns] or [+9.720%; +9.803%]
  • 🟥 throughput [-14792060.733op/s; -14667924.834op/s] or [-8.931%; -8.856%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

  • 🟩 execution_time [-4.659µs; -4.621µs] or [-8.024%; -7.959%]
  • 🟩 throughput [+1490199.069op/s; +1501520.023op/s] or [+8.653%; +8.718%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

  • 🟩 execution_time [-4.819µs; -4.734µs] or [-8.761%; -8.606%]
  • 🟩 throughput [+1714060.172op/s; +1742462.634op/s] or [+9.428%; +9.584%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

  • 🟩 execution_time [-6.531µs; -6.499µs] or [-12.509%; -12.448%]
  • 🟩 throughput [+2723351.589op/s; +2738169.118op/s] or [+14.219%; +14.297%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

  • 🟥 execution_time [+589.194ns; +593.689ns] or [+9.760%; +9.834%]
  • 🟥 throughput [-14836047.733op/s; -14725275.833op/s] or [-8.956%; -8.889%]

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

  • 🟥 execution_time [+20.186µs; +20.367µs] or [+10.874%; +10.971%]
  • 🟥 throughput [-532648.050op/s; -528211.897op/s] or [-9.888%; -9.805%]

scenario:normalization/normalize_name/normalize_name/good

  • 🟥 execution_time [+507.823ns; +527.974ns] or [+4.961%; +5.158%]
  • 🟥 throughput [-4802387.592op/s; -4612634.374op/s] or [-4.916%; -4.722%]

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

  • 🟩 execution_time [-40.994µs; -40.815µs] or [-7.665%; -7.632%]
  • 🟩 throughput [+154518.515op/s; +155206.429op/s] or [+8.264%; +8.300%]

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

  • 🟩 execution_time [-22.509µs; -22.452µs] or [-11.844%; -11.814%]
  • 🟩 throughput [+705064.809op/s; +706834.034op/s] or [+13.399%; +13.433%]

scenario:tags/replace_trace_tags

  • 🟩 execution_time [-195.539ns; -188.260ns] or [-7.632%; -7.347%]

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 e2ef20e 1773078055 oscarld/init-json-obfuscation
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 10.677ms 10.706ms ± 0.013ms 10.705ms ± 0.008ms 10.712ms 10.726ms 10.741ms 10.771ms 0.61% 0.880 2.880 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 [10.704ms; 10.708ms] or [-0.017%; +0.017%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 244.628ns 253.562ns ± 10.262ns 249.180ns ± 2.228ns 253.959ns 280.853ns 286.731ns 288.857ns 15.92% 2.023 3.250 4.04% 0.726ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_trace/test_trace execution_time [252.140ns; 254.984ns] or [-0.561%; +0.561%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 161.032µs 162.152µs ± 0.299µs 162.115µs ± 0.132µs 162.255µs 162.582µs 163.026µs 163.981µs 1.15% 2.016 11.004 0.18% 0.021µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [162.110µs; 162.193µs] or [-0.026%; +0.026%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 190.782ns 193.365ns ± 2.155ns 193.230ns ± 1.637ns 194.530ns 197.265ns 198.994ns 202.409ns 4.75% 1.079 1.628 1.11% 0.152ns 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 [193.066ns; 193.664ns] or [-0.154%; +0.154%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 3.397ms 3.430ms ± 0.022ms 3.424ms ± 0.010ms 3.435ms 3.479ms 3.494ms 3.498ms 2.17% 1.286 0.953 0.64% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2598 execution_time [3.427ms; 3.433ms] or [-0.089%; +0.089%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 48.801ms 49.106ms ± 1.069ms 48.957ms ± 0.063ms 49.034ms 49.172ms 55.310ms 60.482ms 23.54% 8.554 77.363 2.17% 0.076ms 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 [48.958ms; 49.255ms] or [-0.302%; +0.302%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 1.261µs 3.218µs ± 1.412µs 3.002µs ± 0.028µs 3.024µs 3.671µs 13.849µs 14.758µs 391.61% 7.337 55.105 43.77% 0.100µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.022µs; 3.414µs] or [-6.082%; +6.082%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 144.778µs 146.623µs ± 1.900µs 146.299µs ± 0.550µs 146.866µs 148.302µs 153.110µs 165.466µs 13.10% 6.219 52.648 1.29% 0.134µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [146.359µs; 146.886µs] or [-0.180%; +0.180%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 13.901ms 13.972ms ± 0.035ms 13.971ms ± 0.019ms 13.987ms 14.021ms 14.083ms 14.180ms 1.50% 1.828 7.383 0.25% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching serializing traces from their internal representation to msgpack execution_time [13.967ms; 13.977ms] or [-0.035%; +0.035%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 2.311µs 2.370µs ± 0.018µs 2.369µs ± 0.006µs 2.377µs 2.404µs 2.411µs 2.413µs 1.88% -0.524 2.412 0.74% 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 [2.368µs; 2.373µs] or [-0.103%; +0.103%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 3.896µs 3.914µs ± 0.003µs 3.914µs ± 0.001µs 3.915µs 3.918µs 3.921µs 3.922µs 0.21% -1.577 14.165 0.06% 0.000µs 1 200
credit_card/is_card_number/ throughput 254940507.562op/s 255484243.660op/s ± 163486.898op/s 255488515.792op/s ± 83604.935op/s 255573228.130op/s 255688813.410op/s 255797697.882op/s 256695456.410op/s 0.47% 1.603 14.367 0.06% 11560.269op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.861µs 80.162µs ± 0.097µs 80.154µs ± 0.035µs 80.193µs 80.251µs 80.335µs 81.200µs 1.30% 6.019 64.894 0.12% 0.007µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12315257.589op/s 12474814.762op/s ± 14960.865op/s 12475963.809op/s ± 5494.462op/s 12480504.516op/s 12489533.215op/s 12496077.311op/s 12521776.622op/s 0.37% -5.909 63.453 0.12% 1057.893op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.803µs 67.918µs ± 0.076µs 67.917µs ± 0.037µs 67.946µs 68.022µs 68.115µs 68.607µs 1.02% 4.044 32.173 0.11% 0.005µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14575787.942op/s 14723583.870op/s ± 16468.661op/s 14723813.101op/s ± 8024.958op/s 14734135.835op/s 14741344.635op/s 14747342.725op/s 14748605.534op/s 0.17% -3.984 31.463 0.11% 1164.510op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.894µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.919µs 3.922µs 3.922µs 0.19% -1.609 10.995 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254948546.294op/s 255425344.113op/s ± 197089.765op/s 255440405.761op/s ± 127626.449op/s 255542618.122op/s 255688846.919op/s 255796031.983op/s 256819616.234op/s 0.54% 1.633 11.191 0.08% 13936.351op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.588µs 64.704µs ± 0.059µs 64.696µs ± 0.036µs 64.734µs 64.805µs 64.870µs 64.967µs 0.42% 1.074 2.811 0.09% 0.004µs 1 200
credit_card/is_card_number/378282246310005 throughput 15392511.017op/s 15455100.825op/s ± 14068.409op/s 15456920.019op/s ± 8580.811op/s 15464488.895op/s 15474446.670op/s 15478936.202op/s 15482707.364op/s 0.17% -1.064 2.769 0.09% 994.787op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.428µs 45.686µs ± 0.100µs 45.676µs ± 0.071µs 45.758µs 45.849µs 45.881µs 45.983µs 0.67% -0.012 -0.238 0.22% 0.007µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21747214.941op/s 21888740.490op/s ± 48137.994op/s 21893447.292op/s ± 34062.963op/s 21919854.511op/s 21973313.748op/s 21997717.716op/s 22012789.129op/s 0.55% 0.024 -0.237 0.22% 3403.870op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.573µs 6.627µs ± 0.013µs 6.633µs ± 0.006µs 6.636µs 6.642µs 6.645µs 6.646µs 0.21% -1.332 1.883 0.20% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 150461453.320op/s 150899812.931op/s ± 305934.303op/s 150770572.457op/s ± 146980.776op/s 151074264.361op/s 151497519.671op/s 151920555.091op/s 152145994.056op/s 0.91% 1.345 1.937 0.20% 21632.822op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.895µs 3.915µs ± 0.003µs 3.914µs ± 0.001µs 3.916µs 3.918µs 3.921µs 3.922µs 0.20% -1.478 13.040 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254954346.707op/s 255458894.249op/s ± 171687.327op/s 255462830.158op/s ± 84803.931op/s 255546841.743op/s 255697827.018op/s 255763037.450op/s 256707397.574op/s 0.49% 1.504 13.237 0.07% 12140.127op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.588µs 65.696µs ± 0.048µs 65.693µs ± 0.030µs 65.724µs 65.774µs 65.808µs 65.851µs 0.24% 0.263 0.004 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15185703.286op/s 15221724.615op/s ± 11114.234op/s 15222359.118op/s ± 6980.400op/s 15228732.956op/s 15239331.156op/s 15244338.590op/s 15246639.810op/s 0.16% -0.259 -0.001 0.07% 785.895op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.365µs 53.423µs ± 0.026µs 53.420µs ± 0.016µs 53.438µs 53.467µs 53.492µs 53.513µs 0.17% 0.525 0.364 0.05% 0.002µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18686878.978op/s 18718606.633op/s ± 9202.387op/s 18719538.743op/s ± 5601.334op/s 18724865.075op/s 18732462.075op/s 18735993.406op/s 18738741.181op/s 0.10% -0.522 0.359 0.05% 650.707op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.894µs 3.915µs ± 0.003µs 3.914µs ± 0.001µs 3.916µs 3.921µs 3.922µs 3.923µs 0.23% -0.751 10.852 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254914308.884op/s 255459160.896op/s ± 197756.826op/s 255495809.879op/s ± 93160.642op/s 255565066.869op/s 255669264.560op/s 255729627.816op/s 256823023.807op/s 0.52% 0.780 11.041 0.08% 13983.519op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.147µs 50.229µs ± 0.072µs 50.218µs ± 0.022µs 50.241µs 50.298µs 50.324µs 50.955µs 1.47% 6.916 61.347 0.14% 0.005µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19625032.357op/s 19908734.999op/s ± 28362.973op/s 19913309.400op/s ± 8691.181op/s 19920380.729op/s 19929606.542op/s 19939504.481op/s 19941390.260op/s 0.14% -6.849 60.454 0.14% 2005.565op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.371µs 45.697µs ± 0.108µs 45.692µs ± 0.079µs 45.777µs 45.870µs 45.927µs 45.938µs 0.54% -0.112 -0.254 0.24% 0.008µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21768665.289op/s 21883427.063op/s ± 51681.525op/s 21885556.627op/s ± 37542.880op/s 21919592.281op/s 21968127.342op/s 22003904.312op/s 22040279.769op/s 0.71% 0.124 -0.244 0.24% 3654.436op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.572µs 6.628µs ± 0.013µs 6.632µs ± 0.006µs 6.636µs 6.643µs 6.647µs 6.648µs 0.24% -1.447 2.395 0.19% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 150417974.819op/s 150868437.643op/s ± 289856.535op/s 150775215.124op/s ± 134466.043op/s 151016382.545op/s 151482173.221op/s 151825102.268op/s 152163363.231op/s 0.92% 1.461 2.453 0.19% 20495.952op/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 [3.914µs; 3.914µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ throughput [255461585.949op/s; 255506901.372op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.148µs; 80.175µs] or [-0.017%; +0.017%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12472741.330op/s; 12476888.194op/s] or [-0.017%; +0.017%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.908µs; 67.929µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14721301.472op/s; 14725866.268op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/37828224631 execution_time [3.915µs; 3.915µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631 throughput [255398029.367op/s; 255452658.859op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.695µs; 64.712µs] or [-0.013%; +0.013%] None None None
credit_card/is_card_number/378282246310005 throughput [15453151.079op/s; 15457050.571op/s] or [-0.013%; +0.013%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.672µs; 45.700µs] or [-0.030%; +0.030%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21882069.027op/s; 21895411.953op/s] or [-0.030%; +0.030%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.625µs; 6.629µs] or [-0.028%; +0.028%] None None None
credit_card/is_card_number/x371413321323331 throughput [150857413.379op/s; 150942212.483op/s] or [-0.028%; +0.028%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.915µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ throughput [255435100.037op/s; 255482688.462op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.689µs; 65.702µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15220184.289op/s; 15223264.940op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.419µs; 53.426µs] or [-0.007%; +0.007%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18717331.271op/s; 18719881.995op/s] or [-0.007%; +0.007%] 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 [255431753.702op/s; 255486568.091op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.219µs; 50.239µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19904804.164op/s; 19912665.834op/s] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.682µs; 45.712µs] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21876264.501op/s; 21890589.626op/s] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.627µs; 6.630µs] or [-0.027%; +0.027%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [150828266.315op/s; 150908608.971op/s] or [-0.027%; +0.027%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 4.955µs 5.018µs ± 0.036µs 5.019µs ± 0.037µs 5.045µs 5.070µs 5.072µs 5.120µs 2.00% 0.106 -1.195 0.72% 0.003µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark execution_time [5.013µs; 5.023µs] or [-0.100%; +0.100%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 88.623µs 88.956µs ± 0.233µs 88.947µs ± 0.051µs 88.994µs 89.095µs 89.338µs 91.881µs 3.30% 10.031 123.790 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 [88.924µs; 88.988µs] or [-0.036%; +0.036%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 204.893µs 205.912µs ± 0.591µs 205.862µs ± 0.378µs 206.231µs 206.945µs 207.416µs 208.029µs 1.05% 0.727 0.635 0.29% 0.042µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4807032.715op/s 4856488.160op/s ± 13902.711op/s 4857630.729op/s ± 8922.115op/s 4866621.364op/s 4876663.545op/s 4878997.662op/s 4880593.638op/s 0.47% -0.710 0.589 0.29% 983.070op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.566µs 18.645µs ± 0.070µs 18.617µs ± 0.022µs 18.657µs 18.811µs 18.843µs 18.883µs 1.43% 1.690 1.907 0.37% 0.005µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52957496.672op/s 53635754.440op/s ± 199945.554op/s 53715569.688op/s ± 63675.625op/s 53757727.816op/s 53816461.650op/s 53839424.702op/s 53862512.741op/s 0.27% -1.678 1.868 0.37% 14138.286op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.684µs 10.755µs ± 0.029µs 10.752µs ± 0.020µs 10.774µs 10.805µs 10.821µs 10.846µs 0.87% 0.149 0.046 0.27% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 92199629.794op/s 92982623.115op/s ± 253585.246op/s 93004236.638op/s ± 168796.167op/s 93153899.498op/s 93388014.575op/s 93578528.515op/s 93600578.466op/s 0.64% -0.133 0.039 0.27% 17931.185op/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 [205.830µs; 205.994µs] or [-0.040%; +0.040%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4854561.378op/s; 4858414.942op/s] or [-0.040%; +0.040%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.635µs; 18.654µs] or [-0.052%; +0.052%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53608043.909op/s; 53663464.971op/s] or [-0.052%; +0.052%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.751µs; 10.759µs] or [-0.038%; +0.038%] None None None
normalization/normalize_name/normalize_name/good throughput [92947478.638op/s; 93017767.591op/s] or [-0.038%; +0.038%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 32.672µs 33.363µs ± 0.936µs 32.785µs ± 0.071µs 34.619µs 34.860µs 35.337µs 36.330µs 10.81% 1.001 -0.704 2.80% 0.066µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.233µs; 33.492µs] or [-0.389%; +0.389%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 4.098ms 4.106ms ± 0.008ms 4.104ms ± 0.002ms 4.107ms 4.111ms 4.129ms 4.199ms 2.29% 7.870 81.139 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 [4.104ms; 4.107ms] or [-0.028%; +0.028%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 736.437µs 737.472µs ± 0.558µs 737.436µs ± 0.283µs 737.708µs 738.365µs 739.352µs 740.434µs 0.41% 1.654 6.085 0.08% 0.039µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample2_frames_x1000 execution_time [737.395µs; 737.549µs] or [-0.010%; +0.010%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
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 493.155µs 493.897µs ± 0.503µs 493.837µs ± 0.200µs 494.058µs 494.507µs 495.294µs 499.072µs 1.06% 5.801 54.876 0.10% 0.036µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2003718.233op/s 2024716.460op/s ± 2049.691op/s 2024959.994op/s ± 819.513op/s 2025755.056op/s 2026578.487op/s 2027367.321op/s 2027760.035op/s 0.14% -5.731 53.889 0.10% 144.935op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.057µs 370.742µs ± 0.323µs 370.718µs ± 0.235µs 370.956µs 371.308µs 371.524µs 371.687µs 0.26% 0.414 -0.167 0.09% 0.023µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2690439.232op/s 2697298.073op/s ± 2345.824op/s 2697467.207op/s ± 1710.118op/s 2699109.097op/s 2700682.285op/s 2701529.652op/s 2702284.500op/s 0.18% -0.409 -0.173 0.09% 165.875op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.270µs 167.563µs ± 0.123µs 167.569µs ± 0.086µs 167.651µs 167.764µs 167.822µs 167.905µs 0.20% 0.061 -0.324 0.07% 0.009µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5955757.860op/s 5967894.354op/s ± 4366.616op/s 5967679.742op/s ± 3065.716op/s 5971127.723op/s 5975208.665op/s 5976511.664op/s 5978343.382op/s 0.18% -0.057 -0.326 0.07% 308.766op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.980µs 37.147µs ± 0.070µs 37.147µs ± 0.057µs 37.202µs 37.254µs 37.322µs 37.337µs 0.51% 0.168 -0.594 0.19% 0.005µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26783193.515op/s 26920104.057op/s ± 50690.285op/s 26920087.089op/s ± 40989.111op/s 26961710.250op/s 26997175.836op/s 27010610.332op/s 27041596.816op/s 0.45% -0.161 -0.600 0.19% 3584.344op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.394µs 45.668µs ± 0.164µs 45.661µs ± 0.108µs 45.769µs 45.859µs 45.925µs 47.078µs 3.10% 3.085 25.282 0.36% 0.012µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21241208.795op/s 21897400.792op/s ± 77908.832op/s 21900370.598op/s ± 51740.384op/s 21952074.840op/s 22001862.435op/s 22021108.441op/s 22029224.459op/s 0.59% -2.899 23.277 0.35% 5508.986op/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 [493.827µs; 493.967µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2024432.393op/s; 2025000.528op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [370.697µs; 370.786µs] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2696972.965op/s; 2697623.182op/s] or [-0.012%; +0.012%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [167.546µs; 167.580µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5967289.183op/s; 5968499.525op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.137µs; 37.157µs] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26913078.871op/s; 26927129.243op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.645µs; 45.691µs] or [-0.050%; +0.050%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21886603.378op/s; 21908198.207op/s] or [-0.049%; +0.049%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz e2ef20e 1773078055 oscarld/init-json-obfuscation
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
two way interface execution_time 18.307µs 26.583µs ± 9.733µs 18.527µs ± 0.186µs 34.904µs 43.062µs 47.839µs 68.731µs 270.97% 0.849 0.433 36.52% 0.688µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.235µs; 27.932µs] or [-5.074%; +5.074%] None None None

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dd-octo-sts bot commented Feb 26, 2026 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.63 MB 8.63 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 100.28 MB 100.28 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.21 MB 11.21 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 116.94 MB 116.94 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.16 MB 27.16 MB 0% (0 B) 👌
/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 186.05 MB 186.03 MB -0% (-16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 917.14 MB 917.14 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.93 MB 9.93 MB 0% (0 B) 👌
/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 24.77 MB 24.77 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.43 MB 51.43 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 22.97 MB 22.97 MB 0% (0 B) 👌
/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 190.26 MB 190.23 MB --.01% (-32.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 900.80 MB 900.80 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.53 MB 7.53 MB 0% (0 B) 👌
/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 26.51 MB 26.51 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.05 MB 47.05 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 87.50 MB 87.50 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.21 MB 10.21 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 109.81 MB 109.81 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.95 MB 11.95 MB 0% (0 B) 👌

@Eldolfin Eldolfin changed the title feat: implement json obfuscation feat: implement json obfuscation APMSP-2665 Feb 27, 2026
@Eldolfin Eldolfin changed the title feat: implement json obfuscation APMSP-2665 [APMSP-2665] Reach feature parity on json obfuscation Feb 27, 2026
@Eldolfin Eldolfin marked this pull request as draft March 3, 2026 17:15
@Eldolfin Eldolfin requested a review from Copilot March 4, 2026 13:08
Copilot AI reviewed Mar 4, 2026
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Pull request overview

Copilot reviewed 5 out of 6 changed files in this pull request and generated 5 comments.

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@Eldolfin Eldolfin changed the title [APMSP-2665] Reach feature parity on json obfuscation Reach feature parity on json obfuscation Mar 4, 2026
@Eldolfin Eldolfin changed the title Reach feature parity on json obfuscation Reach feature parity on json obfuscation [APMSP-2665] Mar 4, 2026
@Eldolfin Eldolfin changed the title Reach feature parity on json obfuscation [APMSP-2665] fix(obfuscation/json): Reach feature parity on json obfuscation [APMSP-2665] Mar 4, 2026
@Eldolfin Eldolfin changed the title fix(obfuscation/json): Reach feature parity on json obfuscation [APMSP-2665] feat(obfuscation/json): Reach feature parity on json obfuscation [APMSP-2665] Mar 4, 2026
@Eldolfin Eldolfin marked this pull request as ready for review March 4, 2026 16:22
anais-raison
anais-raison requested changes Mar 9, 2026
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LGTM expect a few feedbacks on the tests

@Eldolfin Eldolfin changed the title feat(obfuscation/json): Reach feature parity on json obfuscation [APMSP-2665] feat(obfuscation/json): Init json obfuscation [APMSP-2665] Mar 9, 2026
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@anais-raison anais-raison anais-raison requested changes

@ajgajg1134 ajgajg1134 ajgajg1134 approved these changes

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