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fix(obfuscation/memcached): fuzzing fix#1695

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gh-worker-dd-mergequeue-cf854d[bot] merged 2 commits intomainfrom
oscarld/memcached-fuzzing-fixes
Mar 10, 2026
Merged

fix(obfuscation/memcached): fuzzing fix#1695
gh-worker-dd-mergequeue-cf854d[bot] merged 2 commits intomainfrom
oscarld/memcached-fuzzing-fixes

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@Eldolfin
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@Eldolfin Eldolfin commented Mar 9, 2026

What does this PR do?

Ran a fuzzer to find output difference between this obfuscator and the agent's obfuscator, fixed issues one by one, even the nonsensical edge cases.

This one fixes 1 fuzzing testcase: memcached_fuzzing_2126976840

Motivation

Reach 100% parity between obfuscation libs.

Additional Notes

How to test the change?

@Eldolfin
fix(memcached): trim whitespace from result to match Go's strings.Tri…
120c364 
…mSpace

Go's ObfuscateMemcachedString calls strings.TrimSpace() on the result after
splitting on \r\n. Rust was not trimming, causing a tab-only input to
return "\t" instead of "".

Fixes fuzzing testcase: memcached_fuzzing_2126976840
@Eldolfin Eldolfin requested review from a team as code owners March 9, 2026 17:54
@Eldolfin Eldolfin changed the title fix(memcached): trim whitespace from result to match Go's strings.Tri… fix(obfuscation/memcached): fuzzing fix Mar 9, 2026
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github-actions bot commented Mar 9, 2026

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/oscarld/memcached-fuzzing-fixes

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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pr-commenter bot commented Mar 9, 2026 •
edited
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Benchmarks

Comparison

Benchmark execution time: 2026-03-10 17:25:59

Comparing candidate commit 5755181 in PR branch oscarld/memcached-fuzzing-fixes with baseline commit c37a7dd in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 58 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 ----------------------------------'

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 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 13.915ms 13.973ms ± 0.031ms 13.970ms ± 0.016ms 13.987ms 14.025ms 14.080ms 14.156ms 1.33% 1.984 8.000 0.22% 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 [13.969ms; 13.977ms] or [-0.031%; +0.031%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 2.309µs 2.383µs ± 0.019µs 2.385µs ± 0.008µs 2.393µs 2.408µs 2.419µs 2.429µs 1.85% -1.641 4.248 0.78% 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 [2.380µs; 2.385µs] or [-0.108%; +0.108%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 5.001µs 5.061µs ± 0.053µs 5.029µs ± 0.019µs 5.091µs 5.163µs 5.167µs 5.167µs 2.75% 0.817 -0.795 1.04% 0.004µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark execution_time [5.054µs; 5.069µs] or [-0.145%; +0.145%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 190.701ns 193.469ns ± 2.465ns 193.163ns ± 1.407ns 194.435ns 198.199ns 201.353ns 205.931ns 6.61% 1.626 3.842 1.27% 0.174ns 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 [193.127ns; 193.810ns] or [-0.177%; +0.177%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 144.242µs 146.099µs ± 1.973µs 145.791µs ± 0.472µs 146.270µs 148.125µs 153.631µs 166.673µs 14.32% 6.800 61.643 1.35% 0.140µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sdk_test_data/rules-based execution_time [145.826µs; 146.373µs] or [-0.187%; +0.187%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 3.902µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.921µs 3.922µs 3.924µs 0.22% 0.074 1.389 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254872478.471op/s 255402592.312op/s ± 189102.616op/s 255428314.052op/s ± 117512.117op/s 255528548.928op/s 255648166.123op/s 255735331.498op/s 256255338.235op/s 0.32% -0.067 1.408 0.07% 13371.574op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 79.808µs 79.991µs ± 0.091µs 79.974µs ± 0.057µs 80.052µs 80.137µs 80.258µs 80.401µs 0.53% 0.842 1.508 0.11% 0.006µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12437700.800op/s 12501429.545op/s ± 14170.920op/s 12504126.363op/s ± 8959.197op/s 12510263.107op/s 12520343.933op/s 12526650.584op/s 12530085.989op/s 0.21% -0.832 1.473 0.11% 1002.035op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 67.833µs 67.944µs ± 0.068µs 67.942µs ± 0.031µs 67.971µs 68.026µs 68.064µs 68.586µs 0.95% 4.226 37.724 0.10% 0.005µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 14580133.052op/s 14718105.196op/s ± 14709.720op/s 14718491.935op/s ± 6634.478op/s 14725552.394op/s 14736115.404op/s 14740898.403op/s 14742056.348op/s 0.16% -4.161 36.928 0.10% 1040.134op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.896µs 3.915µs ± 0.003µs 3.915µs ± 0.001µs 3.916µs 3.919µs 3.921µs 3.923µs 0.19% -1.662 13.681 0.07% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254921263.479op/s 255422289.385op/s ± 168405.726op/s 255418105.332op/s ± 85208.637op/s 255503502.152op/s 255652238.940op/s 255735610.409op/s 256661228.491op/s 0.49% 1.688 13.881 0.07% 11908.083op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 64.607µs 64.696µs ± 0.049µs 64.688µs ± 0.032µs 64.726µs 64.790µs 64.842µs 64.870µs 0.28% 0.723 0.516 0.08% 0.003µs 1 200
credit_card/is_card_number/378282246310005 throughput 15415507.603op/s 15456876.354op/s ± 11798.756op/s 15458806.149op/s ± 7742.878op/s 15465434.753op/s 15473572.917op/s 15476331.968op/s 15478168.044op/s 0.13% -0.718 0.505 0.08% 834.298op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.476µs 45.712µs ± 0.095µs 45.715µs ± 0.066µs 45.771µs 45.883µs 45.935µs 46.008µs 0.64% 0.289 0.008 0.21% 0.007µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21735475.492op/s 21876168.315op/s ± 45669.518op/s 21874819.895op/s ± 31433.089op/s 21908275.303op/s 21942989.058op/s 21977005.328op/s 21989757.793op/s 0.53% -0.277 -0.001 0.21% 3229.323op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.586µs 6.631µs ± 0.011µs 6.636µs ± 0.004µs 6.639µs 6.642µs 6.645µs 6.646µs 0.16% -1.349 1.389 0.17% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 150457945.161op/s 150808723.940op/s ± 256615.087op/s 150702250.042op/s ± 99517.456op/s 150947723.314op/s 151340124.361op/s 151546938.663op/s 151831749.507op/s 0.75% 1.357 1.421 0.17% 18145.427op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.897µs 3.915µs ± 0.003µs 3.916µs ± 0.002µs 3.917µs 3.920µs 3.923µs 3.925µs 0.23% -0.921 7.718 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254808945.171op/s 255396291.159op/s ± 190135.154op/s 255392299.937op/s ± 102565.310op/s 255499280.642op/s 255669479.511op/s 255730775.779op/s 256612932.347op/s 0.48% 0.941 7.835 0.07% 13444.586op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.038µs 65.728µs ± 0.093µs 65.739µs ± 0.035µs 65.773µs 65.819µs 65.853µs 65.860µs 0.18% -4.553 28.615 0.14% 0.007µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15183787.843op/s 15214234.459op/s ± 21651.065op/s 15211732.407op/s ± 8132.980op/s 15220183.834op/s 15231953.457op/s 15343479.423op/s 15375513.761op/s 1.08% 4.595 28.995 0.14% 1530.962op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.365µs 53.434µs ± 0.066µs 53.426µs ± 0.021µs 53.449µs 53.487µs 53.596µs 54.006µs 1.09% 6.509 53.375 0.12% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18516557.792op/s 18714783.137op/s ± 22908.885op/s 18717541.742op/s ± 7446.890op/s 18724292.536op/s 18733474.342op/s 18736697.618op/s 18738843.909op/s 0.11% -6.461 52.824 0.12% 1619.903op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.892µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.919µs 3.921µs 3.923µs 0.20% -2.388 19.284 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254912248.828op/s 255410039.335op/s ± 190624.305op/s 255415648.996op/s ± 109229.833op/s 255513995.801op/s 255652934.143op/s 255751137.402op/s 256945730.849op/s 0.60% 2.423 19.618 0.07% 13479.174op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.149µs 50.259µs ± 0.105µs 50.249µs ± 0.027µs 50.279µs 50.321µs 50.384µs 51.223µs 1.94% 7.599 66.919 0.21% 0.007µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19522361.987op/s 19896841.732op/s ± 41005.797op/s 19900909.393op/s ± 10689.484op/s 19911002.300op/s 19927285.634op/s 19936782.597op/s 19940610.879op/s 0.20% -7.529 66.087 0.21% 2899.548op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.431µs 45.716µs ± 0.110µs 45.711µs ± 0.078µs 45.792µs 45.904µs 45.956µs 45.988µs 0.61% 0.211 -0.509 0.24% 0.008µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21744733.902op/s 21874355.167op/s ± 52598.746op/s 21876542.890op/s ± 37118.456op/s 21912613.448op/s 21954502.493op/s 21978680.515op/s 22011545.709op/s 0.62% -0.201 -0.511 0.24% 3719.293op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.588µs 6.631µs ± 0.011µs 6.635µs ± 0.004µs 6.638µs 6.642µs 6.644µs 6.645µs 0.16% -1.568 2.210 0.16% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 150480286.235op/s 150802223.243op/s ± 243185.993op/s 150713726.812op/s ± 82449.684op/s 150885557.101op/s 151330881.949op/s 151621698.868op/s 151800336.916op/s 0.72% 1.577 2.247 0.16% 17195.846op/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 [3.915µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255376384.508op/s; 255428800.116op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [79.978µs; 80.004µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12499465.592op/s; 12503393.499op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [67.934µs; 67.953µs] or [-0.014%; +0.014%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14716066.571op/s; 14720143.822op/s] or [-0.014%; +0.014%] None None None
credit_card/is_card_number/37828224631 execution_time [3.915µs; 3.915µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/37828224631 throughput [255398949.971op/s; 255445628.799op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number/378282246310005 execution_time [64.689µs; 64.703µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/378282246310005 throughput [15455241.160op/s; 15458511.548op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.699µs; 45.725µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21869838.959op/s; 21882497.671op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.629µs; 6.632µs] or [-0.024%; +0.024%] None None None
credit_card/is_card_number/x371413321323331 throughput [150773159.557op/s; 150844288.323op/s] or [-0.024%; +0.024%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.915µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ throughput [255369940.255op/s; 255422642.062op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.715µs; 65.741µs] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15211233.830op/s; 15217235.088op/s] or [-0.020%; +0.020%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.425µs; 53.443µs] or [-0.017%; +0.017%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18711608.185op/s; 18717958.088op/s] or [-0.017%; +0.017%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.915µs; 3.916µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255383620.640op/s; 255436458.031op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.245µs; 50.274µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19891158.723op/s; 19902524.741op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.701µs; 45.731µs] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21867065.487op/s; 21881644.847op/s] or [-0.033%; +0.033%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.630µs; 6.633µs] or [-0.022%; +0.022%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [150768520.004op/s; 150835926.483op/s] or [-0.022%; +0.022%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 245.362ns 254.171ns ± 10.450ns 249.918ns ± 2.710ns 256.358ns 278.870ns 286.558ns 287.275ns 14.95% 1.715 1.927 4.10% 0.739ns 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 [252.723ns; 255.619ns] or [-0.570%; +0.570%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 4.101ms 4.106ms ± 0.007ms 4.105ms ± 0.001ms 4.107ms 4.110ms 4.114ms 4.194ms 2.17% 11.511 148.303 0.16% 0.000ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_frames_x1000 execution_time [4.105ms; 4.107ms] or [-0.023%; +0.023%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 1.231µs 3.143µs ± 1.420µs 2.969µs ± 0.024µs 2.991µs 3.355µs 13.607µs 14.999µs 405.19% 7.514 56.997 45.06% 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 [2.946µs; 3.340µs] or [-6.260%; +6.260%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 205.746µs 206.435µs ± 0.390µs 206.409µs ± 0.265µs 206.667µs 207.066µs 207.446µs 207.896µs 0.72% 0.568 0.262 0.19% 0.028µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4810104.235op/s 4844161.714op/s ± 9147.815op/s 4844747.132op/s ± 6206.614op/s 4851089.106op/s 4857227.956op/s 4860003.233op/s 4860357.975op/s 0.32% -0.557 0.236 0.19% 646.848op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.573µs 18.853µs ± 0.203µs 18.816µs ± 0.162µs 18.991µs 19.207µs 19.366µs 19.490µs 3.58% 0.679 -0.191 1.08% 0.014µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 51309010.254op/s 53046697.208op/s ± 568406.149op/s 53146832.990op/s ± 456320.025op/s 53567170.679op/s 53748049.713op/s 53783171.650op/s 53840517.088op/s 1.31% -0.636 -0.291 1.07% 40192.384op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.635µs 10.716µs ± 0.044µs 10.709µs ± 0.025µs 10.738µs 10.792µs 10.852µs 10.896µs 1.75% 1.022 1.583 0.41% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 91776927.421op/s 93317928.491op/s ± 378526.359op/s 93379101.055op/s ± 215960.270op/s 93590848.681op/s 93834910.343op/s 93955105.777op/s 94026044.497op/s 0.69% -0.991 1.481 0.40% 26765.856op/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 [206.381µs; 206.489µs] 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 [4842893.915op/s; 4845429.514op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.825µs; 18.882µs] or [-0.150%; +0.150%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [52967921.583op/s; 53125472.834op/s] or [-0.149%; +0.149%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.710µs; 10.722µs] or [-0.056%; +0.056%] None None None
normalization/normalize_name/normalize_name/good throughput [93265468.378op/s; 93370388.604op/s] or [-0.056%; +0.056%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 493.211µs 494.164µs ± 0.550µs 494.075µs ± 0.290µs 494.415µs 495.085µs 495.474µs 498.321µs 0.86% 2.561 15.254 0.11% 0.039µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 2006738.628op/s 2023621.377op/s ± 2247.824op/s 2023984.441op/s ± 1189.712op/s 2024992.115op/s 2026234.252op/s 2026939.764op/s 2027528.658op/s 0.18% -2.526 14.911 0.11% 158.945op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.034µs 370.667µs ± 0.277µs 370.640µs ± 0.172µs 370.846µs 371.160µs 371.366µs 371.403µs 0.21% 0.257 -0.047 0.07% 0.020µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2692490.539op/s 2697842.925op/s ± 2012.822op/s 2698038.362op/s ± 1252.069op/s 2699081.778op/s 2701111.555op/s 2702028.796op/s 2702455.957op/s 0.16% -0.253 -0.050 0.07% 142.328op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.324µs 167.590µs ± 0.153µs 167.566µs ± 0.094µs 167.664µs 167.899µs 168.016µs 168.136µs 0.34% 1.019 0.921 0.09% 0.011µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5947553.916op/s 5966934.826op/s ± 5433.198op/s 5967811.429op/s ± 3349.254op/s 5971088.959op/s 5973113.419op/s 5975901.460op/s 5976423.980op/s 0.14% -1.014 0.908 0.09% 384.185op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 37.040µs 37.162µs ± 0.066µs 37.151µs ± 0.035µs 37.192µs 37.272µs 37.335µs 37.518µs 0.99% 1.381 4.270 0.18% 0.005µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26653626.249op/s 26909340.262op/s ± 47488.088op/s 26917122.575op/s ± 25226.663op/s 26938849.432op/s 26975105.524op/s 26988663.839op/s 26997960.225op/s 0.30% -1.358 4.144 0.18% 3357.915op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.403µs 45.623µs ± 0.092µs 45.630µs ± 0.068µs 45.693µs 45.760µs 45.798µs 45.898µs 0.59% -0.163 -0.445 0.20% 0.006µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21787510.286op/s 21918629.998op/s ± 44045.697op/s 21915337.158op/s ± 32680.674op/s 21950436.530op/s 21993940.075op/s 22016675.603op/s 22025046.393op/s 0.50% 0.172 -0.447 0.20% 3114.501op/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 [494.088µs; 494.240µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2023309.851op/s; 2023932.904op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [370.628µs; 370.705µs] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2697563.967op/s; 2698121.882op/s] or [-0.010%; +0.010%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [167.569µs; 167.612µs] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5966181.837op/s; 5967687.815op/s] or [-0.013%; +0.013%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.153µs; 37.171µs] or [-0.025%; +0.025%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26902758.870op/s; 26915921.654op/s] or [-0.024%; +0.024%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.611µs; 45.636µs] or [-0.028%; +0.028%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21912525.688op/s; 21924734.308op/s] or [-0.028%; +0.028%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 724.774µs 726.191µs ± 0.725µs 726.143µs ± 0.510µs 726.685µs 727.434µs 728.002µs 728.670µs 0.35% 0.349 0.057 0.10% 0.051µs 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 [726.090µs; 726.291µs] or [-0.014%; +0.014%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 48.432ms 48.796ms ± 1.328ms 48.638ms ± 0.060ms 48.699ms 48.830ms 52.383ms 62.489ms 28.48% 9.178 85.985 2.72% 0.094ms 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 [48.612ms; 48.981ms] or [-0.377%; +0.377%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 33.071µs 34.013µs ± 1.317µs 33.204µs ± 0.078µs 35.307µs 36.350µs 36.984µs 38.285µs 15.30% 1.075 -0.488 3.86% 0.093µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.830µs; 34.195µs] or [-0.537%; +0.537%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 3.448ms ± 0.039ms 3.435ms ± 0.016ms 3.457ms 3.536ms 3.572ms 3.602ms 4.85% 1.621 2.179 1.14% 0.003ms 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 [3.443ms; 3.454ms] or [-0.158%; +0.158%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 10.651ms 10.682ms ± 0.015ms 10.681ms ± 0.009ms 10.690ms 10.707ms 10.732ms 10.747ms 0.62% 0.965 2.087 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 [10.680ms; 10.684ms] or [-0.020%; +0.020%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 88.264µs 88.497µs ± 0.219µs 88.459µs ± 0.085µs 88.575µs 88.685µs 88.812µs 90.871µs 2.73% 7.071 70.116 0.25% 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 [88.466µs; 88.527µs] or [-0.034%; +0.034%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 18.358µs 26.667µs ± 10.037µs 18.551µs ± 0.154µs 35.368µs 44.043µs 45.124µs 73.064µs 293.85% 0.886 0.585 37.54% 0.710µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.276µs; 28.058µs] or [-5.216%; +5.216%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 5755181 1773162517 oscarld/memcached-fuzzing-fixes
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 163.957µs 164.795µs ± 0.310µs 164.770µs ± 0.133µs 164.905µs 165.111µs 165.651µs 167.884µs 1.89% 5.105 48.139 0.19% 0.022µs 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 [164.752µs; 164.838µs] or [-0.026%; +0.026%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Mar 9, 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.a 116.94 MB 116.94 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.21 MB 11.21 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 186.01 MB 186.02 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 190.22 MB 190.22 MB 0% (0 B) 👌
/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) 👌

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codecov-commenter commented Mar 9, 2026 •
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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.19%. Comparing base (dbda9dc) to head (5755181).
⚠️ Report is 74 commits behind head on main.

Additional details and impacted files 
@@           Coverage Diff           @@
##             main    #1695   +/-   ##
=======================================
  Coverage   71.19%   71.19%           
=======================================
  Files         429      429           
  Lines       63504    63503    -1     
=======================================
  Hits        45212    45212           
+ Misses      18292    18291    -1
Components Coverage Δ
libdd-crashtracker 62.34% <ø> (ø)
libdd-crashtracker-ffi 16.56% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 88.38% <ø> (ø)
libdd-data-pipeline-ffi 77.04% <ø> (ø)
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> (+0.01%) ⬆️
libdd-profiling-ffi 63.65% <ø> (ø)
datadog-sidecar 32.49% <ø> (ø)
datdog-sidecar-ffi 7.81% <ø> (ø)
spawn-worker 54.69% <ø> (ø)
libdd-tinybytes 93.16% <ø> (ø)
libdd-trace-normalization 81.71% <ø> (ø)
libdd-trace-obfuscation 91.80% <100.00%> (+0.05%) ⬆️
libdd-trace-protobuf 68.25% <ø> (ø)
libdd-trace-utils 89.08% <ø> (ø)
datadog-tracer-flare 90.45% <ø> (ø)
libdd-log 74.69% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
  • 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot merged commit 9d2d0bb into main Mar 10, 2026
90 checks passed
@gh-worker-dd-mergequeue-cf854d gh-worker-dd-mergequeue-cf854d bot deleted the oscarld/memcached-fuzzing-fixes branch March 10, 2026 18:20
@gyuheon0h gyuheon0h mentioned this pull request Mar 11, 2026
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gh-worker-dd-mergequeue-cf854d bot pushed a commit that referenced this pull request Mar 11, 2026
@gyuheon0h
chore(cargo): bump to 29.0.0 (#1702)
001bd56 
# What does this PR do?

Bump to 29.0.0

[feat(profiling)!: add Tracepoint sample type](#1676)
[feat(obfuscation/redis): Reach feature parity on redis obfuscation [APMSP-2668]](#1632)
[fix(sidecar): Handle backpressure more gracefully](#1682)
[feat(trace-protobuf)!: Add two fields to ClientGroupedStats [SVLS-8627]](#1630)
[chore: exclude libdatadog from ADMS auto generated PRs for dependency updates](#1688)
[chore(ci): run crashtracking ffi example tests in CI](#1687)
[fix(crashtracking): use libunwind to unwind frames](#1663)
[feat: publish tracer metadata as OTel process ctx](#1658)
[ci: run thread count test in own process](#1693)
[feat(obfuscation/json): Init json obfuscation [APMSP-2665]](#1635)
[chore(ci): add final_status property on junit XML [APMSP-2610]](#1681)
[refactor(data-pipeline-ffi): move macro definitions for better reuse](#1699)
[fix(obfuscation/memcached): fuzzing fix](#1695)
[ci: replace use of cargo cross for centos7 tests](#1675)
#1702 (comment)
[feat(stats_exporter)!: add process tags to CSS payloads](#1709)

# Motivation

I mainly am creating this to use the new unwinding from ucontext for crashtracking

# Additional Notes

Anything else we should know when reviewing?

# How to test the change?

Describe here in detail how the change can be validated.


[APMSP-2668]: https://datadoghq.atlassian.net/browse/APMSP-2668?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ
[SVLS-8627]: https://datadoghq.atlassian.net/browse/SVLS-8627?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ
[APMSP-2665]: https://datadoghq.atlassian.net/browse/APMSP-2665?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

Co-authored-by: gyuheon.oh <[email protected]>
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