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feat: Add FFE_FLAGS remote config product and capability#1532

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leoromanovsky wants to merge 5 commits intomainfrom
feature/ffe-rc-product
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feat: Add FFE_FLAGS remote config product and capability#1532
leoromanovsky wants to merge 5 commits intomainfrom
feature/ffe-rc-product

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@leoromanovsky
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@leoromanovsky leoromanovsky commented Feb 7, 2026 •
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Motivation

Add Feature Flagging and Experimentation (FFE) support to the remote config infrastructure, enabling tracers to subscribe to FFE_FLAGS configurations via the sidecar.

WIP: php tracer changes (DataDog/dd-trace-php#3630)

Changes

  • Add FfeFlags variant to RemoteConfigProduct enum
  • Add "FFE_FLAGS" string mapping in Display and FromStr
  • Add FfeFlagConfigurationRules = 46 to RemoteConfigCapabilities
  • Add FfeFlags(Vec<u8>) variant to RemoteConfigData to preserve raw config bytes

Decisions

  • Raw bytes are preserved (not parsed) in FfeFlags(Vec<u8>) since each tracer handles evaluation with the datadog-ffe crate directly
  • Capability bit 46 matches the server-side FFE capability definition

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codecov-commenter commented Feb 7, 2026 •
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Codecov Report

❌ Patch coverage is 0% with 4 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.25%. Comparing base (9a3e4ee) to head (8d39017).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1532      +/-   ##
==========================================
+ Coverage   71.16%   71.25%   +0.08%     
==========================================
  Files         426      426              
  Lines       69871    69860      -11     
==========================================
+ Hits        49724    49777      +53     
+ Misses      20147    20083      -64
Components Coverage Δ
libdd-crashtracker 62.36% <ø> (-0.02%) ⬇️
libdd-crashtracker-ffi 16.80% <ø> (ø)
libdd-alloc 98.73% <ø> (ø)
libdd-data-pipeline 86.86% <ø> (ø)
libdd-data-pipeline-ffi 78.68% <ø> (ø)
libdd-common 80.58% <ø> (ø)
libdd-common-ffi 74.54% <ø> (ø)
libdd-telemetry 65.09% <ø> (ø)
libdd-telemetry-ffi 21.17% <ø> (ø)
libdd-dogstatsd-client 83.75% <ø> (ø)
datadog-ipc 82.70% <ø> (+0.04%) ⬆️
libdd-profiling 81.83% <ø> (ø)
libdd-profiling-ffi 64.74% <ø> (ø)
datadog-sidecar 35.51% <ø> (+1.12%) ⬆️
datdog-sidecar-ffi 12.84% <ø> (+5.16%) ⬆️
spawn-worker 55.18% <ø> (ø)
libdd-tinybytes 93.43% <ø> (ø)
libdd-trace-normalization 82.33% <ø> (ø)
libdd-trace-obfuscation 94.17% <ø> (ø)
libdd-trace-protobuf 61.18% <ø> (ø)
libdd-trace-utils 89.37% <ø> (-0.17%) ⬇️
datadog-tracer-flare 63.49% <ø> (+1.42%) ⬆️
libdd-log 75.57% <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 7, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-02-08 23:58:13

Comparing candidate commit 8d39017 in PR branch feature/ffe-rc-product with baseline commit 9a3e4ee in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 56 metrics, 2 unstable metrics.

scenario:benching deserializing traces from msgpack to their internal representation

  • 🟥 execution_time [+1.951ms; +2.506ms] or [+4.029%; +5.176%]

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 8d39017 1770594169 feature/ffe-rc-product
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 10.606ms 10.632ms ± 0.014ms 10.630ms ± 0.009ms 10.639ms 10.655ms 10.664ms 10.707ms 0.72% 1.185 3.926 0.13% 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 [10.630ms; 10.633ms] or [-0.018%; +0.018%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 33.228µs 33.948µs ± 1.280µs 33.337µs ± 0.072µs 33.536µs 36.714µs 36.766µs 37.162µs 11.47% 1.682 0.886 3.76% 0.090µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.771µs; 34.126µs] or [-0.522%; +0.522%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching deserializing traces from msgpack to their internal representation execution_time 50.279ms 50.645ms ± 1.546ms 50.447ms ± 0.041ms 50.487ms 50.658ms 60.906ms 66.137ms 31.10% 8.371 70.848 3.04% 0.109ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching deserializing traces from msgpack to their internal representation execution_time [50.431ms; 50.860ms] or [-0.423%; +0.423%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
benching string interning on wordpress profile execution_time 160.843µs 161.529µs ± 0.494µs 161.426µs ± 0.152µs 161.627µs 162.091µs 162.871µs 166.546µs 3.17% 6.059 53.768 0.31% 0.035µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching string interning on wordpress profile execution_time [161.461µs; 161.598µs] or [-0.042%; +0.042%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 534.766µs 536.654µs ± 1.454µs 536.095µs ± 0.452µs 537.077µs 539.353µs 541.990µs 545.192µs 1.70% 2.380 7.953 0.27% 0.103µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1834216.599op/s 1863413.104op/s ± 5016.071op/s 1865341.338op/s ± 1574.983op/s 1866516.306op/s 1867898.422op/s 1868519.184op/s 1869976.363op/s 0.25% -2.346 7.697 0.27% 354.690op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 379.702µs 380.579µs ± 0.305µs 380.589µs ± 0.212µs 380.775µs 381.096µs 381.227µs 381.346µs 0.20% 0.054 -0.396 0.08% 0.022µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2622287.828op/s 2627574.382op/s ± 2104.604op/s 2627509.014op/s ± 1467.728op/s 2629172.608op/s 2630900.076op/s 2631979.063op/s 2633643.073op/s 0.23% -0.050 -0.396 0.08% 148.818op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.426µs 189.945µs ± 0.187µs 189.925µs ± 0.114µs 190.045µs 190.272µs 190.489µs 190.552µs 0.33% 0.593 0.672 0.10% 0.013µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5247899.326op/s 5264694.228op/s ± 5187.984op/s 5265234.500op/s ± 3158.623op/s 5268105.897op/s 5271723.343op/s 5274979.521op/s 5279099.922op/s 0.26% -0.586 0.663 0.10% 366.846op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.447µs 36.570µs ± 0.050µs 36.570µs ± 0.034µs 36.603µs 36.655µs 36.682µs 36.711µs 0.38% 0.144 -0.211 0.14% 0.004µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 27240071.809op/s 27345182.112op/s ± 37128.544op/s 27344578.616op/s ± 25662.745op/s 27372059.389op/s 27404426.436op/s 27421522.669op/s 27436771.385op/s 0.34% -0.137 -0.216 0.14% 2625.385op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.915µs 46.061µs ± 0.058µs 46.052µs ± 0.036µs 46.096µs 46.161µs 46.235µs 46.265µs 0.46% 0.699 0.867 0.13% 0.004µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21614538.803op/s 21710594.641op/s ± 27379.435op/s 21714769.507op/s ± 17163.378op/s 21729093.850op/s 21747943.615op/s 21762815.634op/s 21779343.309op/s 0.30% -0.690 0.848 0.13% 1936.018op/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 [536.452µs; 536.855µs] or [-0.038%; +0.038%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1862717.925op/s; 1864108.284op/s] or [-0.037%; +0.037%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [380.537µs; 380.622µs] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2627282.704op/s; 2627866.060op/s] or [-0.011%; +0.011%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [189.919µs; 189.971µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5263975.223op/s; 5265413.232op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.563µs; 36.576µs] or [-0.019%; +0.019%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27340036.453op/s; 27350327.771op/s] or [-0.019%; +0.019%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [46.052µs; 46.069µs] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21706800.115op/s; 21714389.167op/s] or [-0.017%; +0.017%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 188.384ns 190.721ns ± 2.034ns 190.377ns ± 1.302ns 191.662ns 194.751ns 196.782ns 198.249ns 4.13% 1.205 1.232 1.06% 0.144ns 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 [190.439ns; 191.003ns] or [-0.148%; +0.148%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 1.182µs 3.263µs ± 1.451µs 3.033µs ± 0.032µs 3.070µs 3.709µs 14.283µs 15.097µs 397.71% 7.293 54.563 44.36% 0.103µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
write only interface execution_time [3.062µs; 3.464µs] or [-6.164%; +6.164%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 204.959µs 205.745µs ± 0.411µs 205.708µs ± 0.281µs 206.034µs 206.436µs 206.805µs 206.900µs 0.58% 0.358 -0.265 0.20% 0.029µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4833254.673op/s 4860414.482op/s ± 9700.915op/s 4861253.263op/s ± 6632.192op/s 4866562.314op/s 4875364.888op/s 4877792.147op/s 4879034.879op/s 0.37% -0.348 -0.277 0.20% 685.958op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.610µs 18.777µs ± 0.106µs 18.751µs ± 0.064µs 18.844µs 18.960µs 19.088µs 19.250µs 2.66% 1.084 1.584 0.56% 0.007µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 51947937.601op/s 53258128.220op/s ± 297742.758op/s 53331887.127op/s ± 180814.732op/s 53468721.236op/s 53631681.860op/s 53684835.557op/s 53734306.623op/s 0.75% -1.044 1.419 0.56% 21053.592op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.806µs 10.882µs ± 0.034µs 10.878µs ± 0.019µs 10.898µs 10.939µs 10.958µs 11.119µs 2.21% 1.865 10.680 0.31% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 89936330.570op/s 91897645.382op/s ± 286226.646op/s 91926986.114op/s ± 160270.258op/s 92066422.079op/s 92280656.268op/s 92436820.525op/s 92541965.309op/s 0.67% -1.781 10.000 0.31% 20239.280op/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 [205.688µs; 205.802µs] or [-0.028%; +0.028%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [4859070.029op/s; 4861758.936op/s] or [-0.028%; +0.028%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.762µs; 18.792µs] or [-0.078%; +0.078%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53216863.937op/s; 53299392.503op/s] or [-0.077%; +0.077%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.877µs; 10.887µs] or [-0.043%; +0.043%] None None None
normalization/normalize_name/normalize_name/good throughput [91857977.122op/s; 91937313.642op/s] or [-0.043%; +0.043%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 13.987ms 14.050ms ± 0.035ms 14.043ms ± 0.016ms 14.062ms 14.102ms 14.162ms 14.261ms 1.55% 2.546 11.011 0.24% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
benching serializing traces from their internal representation to msgpack execution_time [14.045ms; 14.054ms] or [-0.034%; +0.034%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 9.509ms 9.809ms ± 0.074ms 9.823ms ± 0.031ms 9.853ms 9.892ms 9.915ms 10.023ms 2.04% -1.417 3.042 0.75% 0.005ms 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 [9.799ms; 9.820ms] or [-0.104%; +0.104%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 535.534µs 536.229µs ± 0.429µs 536.118µs ± 0.177µs 536.353µs 537.182µs 537.532µs 538.850µs 0.51% 2.179 7.450 0.08% 0.030µs 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 [536.170µs; 536.289µs] or [-0.011%; +0.011%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 144.037µs 145.899µs ± 1.783µs 145.564µs ± 0.561µs 146.168µs 148.018µs 154.034µs 162.130µs 11.38% 5.350 39.622 1.22% 0.126µs 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 [145.652µs; 146.146µs] or [-0.169%; +0.169%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 3.985ms 3.989ms ± 0.007ms 3.988ms ± 0.001ms 3.990ms 3.993ms 3.996ms 4.079ms 2.27% 11.117 139.364 0.17% 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 [3.988ms; 3.990ms] or [-0.024%; +0.024%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 3.895µs 3.913µs ± 0.003µs 3.913µs ± 0.002µs 3.915µs 3.918µs 3.921µs 3.922µs 0.23% -0.512 3.369 0.09% 0.000µs 1 200
credit_card/is_card_number/ throughput 254959368.530op/s 255549590.189op/s ± 219716.621op/s 255540976.852op/s ± 152984.363op/s 255719019.104op/s 255838183.332op/s 255919273.434op/s 256752221.956op/s 0.47% 0.525 3.432 0.09% 15536.311op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 77.061µs 77.512µs ± 0.467µs 77.388µs ± 0.238µs 77.684µs 78.433µs 78.923µs 79.946µs 3.30% 1.857 4.733 0.60% 0.033µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12508498.563op/s 12901728.256op/s ± 76888.621op/s 12921889.767op/s ± 39865.279op/s 12959601.360op/s 12972631.325op/s 12976444.729op/s 12976673.132op/s 0.42% -1.799 4.374 0.59% 5436.847op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 70.623µs 70.906µs ± 0.365µs 70.751µs ± 0.078µs 70.982µs 71.663µs 72.140µs 73.004µs 3.18% 2.623 8.479 0.51% 0.026µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13697970.058op/s 14103490.244op/s ± 71550.156op/s 14134144.561op/s ± 15542.065op/s 14145051.282op/s 14154152.587op/s 14157525.296op/s 14159610.544op/s 0.18% -2.569 8.065 0.51% 5059.360op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.895µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.919µs 3.920µs 3.922µs 0.27% 0.024 2.569 0.09% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254945514.245op/s 255604820.163op/s ± 224584.246op/s 255626366.831op/s ± 153460.666op/s 255781690.285op/s 255874622.920op/s 255919871.806op/s 256737527.697op/s 0.43% -0.012 2.614 0.09% 15880.504op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 67.423µs 67.648µs ± 0.302µs 67.527µs ± 0.063µs 67.705µs 68.280µs 68.930µs 69.069µs 2.28% 2.624 7.331 0.45% 0.021µs 1 200
credit_card/is_card_number/378282246310005 throughput 14478300.842op/s 14782647.931op/s ± 65318.469op/s 14808803.093op/s ± 13736.802op/s 14819721.344op/s 14828888.603op/s 14831536.058op/s 14831725.060op/s 0.15% -2.591 7.127 0.44% 4618.713op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 44.704µs 45.092µs ± 0.151µs 45.096µs ± 0.096µs 45.194µs 45.334µs 45.396µs 45.402µs 0.68% -0.229 -0.404 0.33% 0.011µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 22025339.061op/s 22177045.538op/s ± 74236.008op/s 22175096.261op/s ± 47061.918op/s 22220249.338op/s 22317701.662op/s 22340498.819op/s 22369588.323op/s 0.88% 0.245 -0.395 0.33% 5249.278op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.027µs 6.039µs ± 0.017µs 6.034µs ± 0.003µs 6.038µs 6.101µs 6.106µs 6.111µs 1.27% 3.295 9.637 0.29% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 163635201.931op/s 165595585.052op/s ± 471334.874op/s 165714690.627op/s ± 79616.151op/s 165788489.607op/s 165864332.576op/s 165917712.578op/s 165922734.679op/s 0.13% -3.288 9.604 0.28% 33328.409op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.893µs 3.912µs ± 0.003µs 3.912µs ± 0.002µs 3.914µs 3.917µs 3.918µs 3.934µs 0.57% 0.620 14.402 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254170832.023op/s 255626065.537op/s ± 215930.578op/s 255629241.845op/s ± 124202.306op/s 255758306.559op/s 255886291.617op/s 255947946.284op/s 256896960.006op/s 0.50% -0.579 14.317 0.08% 15268.598op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.492µs 65.718µs ± 0.163µs 65.744µs ± 0.060µs 65.793µs 65.882µs 65.910µs 65.934µs 0.29% -4.154 25.006 0.25% 0.012µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15166660.647op/s 15216634.331op/s ± 38089.795op/s 15210472.410op/s ± 13807.271op/s 15227882.634op/s 15256001.578op/s 15397774.168op/s 15505856.113op/s 1.94% 4.227 25.694 0.25% 2693.355op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 52.949µs 53.017µs ± 0.040µs 53.014µs ± 0.025µs 53.035µs 53.099µs 53.130µs 53.144µs 0.24% 0.749 0.443 0.08% 0.003µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18816870.828op/s 18861935.629op/s ± 14391.762op/s 18862775.257op/s ± 8762.415op/s 18872492.399op/s 18882721.555op/s 18885034.271op/s 18886016.793op/s 0.12% -0.744 0.434 0.08% 1017.651op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.890µs 3.912µs ± 0.003µs 3.912µs ± 0.001µs 3.913µs 3.917µs 3.919µs 3.924µs 0.31% -1.013 12.040 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254842074.157op/s 255631664.042op/s ± 202906.832op/s 255643119.406op/s ± 96520.238op/s 255740208.756op/s 255891665.420op/s 255948702.837op/s 257059743.218op/s 0.55% 1.044 12.239 0.08% 14347.680op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 49.747µs 49.796µs ± 0.029µs 49.789µs ± 0.018µs 49.812µs 49.850µs 49.881µs 49.918µs 0.26% 1.019 1.286 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 20032829.921op/s 20081982.517op/s ± 11774.477op/s 20084708.507op/s ± 7177.385op/s 20090601.617op/s 20097637.322op/s 20099691.472op/s 20101833.287op/s 0.09% -1.015 1.272 0.06% 832.581op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 44.708µs 45.166µs ± 0.146µs 45.176µs ± 0.102µs 45.276µs 45.388µs 45.451µs 45.463µs 0.64% -0.295 -0.330 0.32% 0.010µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21995815.048op/s 22140882.121op/s ± 71598.649op/s 22135711.262op/s ± 49679.602op/s 22186814.383op/s 22258552.866op/s 22302652.438op/s 22367499.016op/s 1.05% 0.310 -0.312 0.32% 5062.789op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.027µs 6.035µs ± 0.005µs 6.034µs ± 0.003µs 6.037µs 6.044µs 6.049µs 6.051µs 0.28% 0.970 0.954 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 165258066.878op/s 165697580.934op/s ± 128644.769op/s 165722281.365op/s ± 70822.007op/s 165787249.685op/s 165876482.626op/s 165909894.599op/s 165918581.139op/s 0.12% -0.965 0.942 0.08% 9096.559op/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 [3.913µs; 3.914µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ throughput [255519139.579op/s; 255580040.800op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [77.447µs; 77.576µs] or [-0.084%; +0.084%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12891072.233op/s; 12912384.280op/s] or [-0.083%; +0.083%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [70.856µs; 70.957µs] or [-0.071%; +0.071%] None None None
credit_card/is_card_number/ 378282246310005 throughput [14093574.081op/s; 14113406.408op/s] or [-0.070%; +0.070%] None None None
credit_card/is_card_number/37828224631 execution_time [3.912µs; 3.913µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/37828224631 throughput [255573694.946op/s; 255635945.380op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/378282246310005 execution_time [67.606µs; 67.690µs] or [-0.062%; +0.062%] None None None
credit_card/is_card_number/378282246310005 throughput [14773595.419op/s; 14791700.442op/s] or [-0.061%; +0.061%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.071µs; 45.113µs] or [-0.046%; +0.046%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [22166757.141op/s; 22187333.934op/s] or [-0.046%; +0.046%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.036µs; 6.041µs] or [-0.040%; +0.040%] None None None
credit_card/is_card_number/x371413321323331 throughput [165530262.572op/s; 165660907.532op/s] or [-0.039%; +0.039%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.912µs; 3.912µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ throughput [255596139.636op/s; 255655991.438op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.695µs; 65.741µs] or [-0.034%; +0.034%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15211355.452op/s; 15221913.210op/s] or [-0.035%; +0.035%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.011µs; 53.022µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18859941.069op/s; 18863930.188op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.911µs; 3.912µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255603543.107op/s; 255659784.978op/s] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [49.792µs; 49.800µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [20080350.688op/s; 20083614.346op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.146µs; 45.186µs] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [22130959.237op/s; 22150805.005op/s] or [-0.045%; +0.045%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.034µs; 6.036µs] or [-0.011%; +0.011%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [165679752.006op/s; 165715409.862op/s] or [-0.011%; +0.011%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_trace/test_trace execution_time 241.381ns 253.316ns ± 13.990ns 247.480ns ± 4.238ns 254.522ns 282.338ns 296.668ns 298.377ns 20.57% 1.628 1.593 5.51% 0.989ns 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 [251.377ns; 255.255ns] or [-0.765%; +0.765%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 2.355µs 2.403µs ± 0.020µs 2.398µs ± 0.006µs 2.411µs 2.435µs 2.452µs 2.558µs 6.68% 2.855 19.084 0.81% 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 [2.400µs; 2.406µs] or [-0.112%; +0.112%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 5.141µs 5.219µs ± 0.043µs 5.229µs ± 0.036µs 5.259µs 5.278µs 5.291µs 5.297µs 1.29% -0.146 -1.366 0.83% 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 [5.213µs; 5.225µs] or [-0.115%; +0.115%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 85.207µs 85.445µs ± 0.189µs 85.426µs ± 0.059µs 85.488µs 85.599µs 85.927µs 87.503µs 2.43% 7.122 70.813 0.22% 0.013µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [85.419µs; 85.471µs] or [-0.031%; +0.031%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 8d39017 1770594169 feature/ffe-rc-product
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 18.370µs 26.690µs ± 9.613µs 19.097µs ± 0.592µs 34.998µs 43.325µs 49.101µs 59.225µs 210.12% 0.720 -0.707 35.92% 0.680µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [25.358µs; 28.023µs] or [-4.991%; +4.991%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Feb 7, 2026 •
edited
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 91.69 MB 91.69 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.38 MB 8.38 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 10.76 MB 10.76 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 106.40 MB 106.40 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 25.08 MB 25.08 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 75.94 KB 75.94 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 172.51 MB 172.52 MB +0% (+16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 882.83 MB 882.83 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.57 MB 9.57 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 75.94 KB 75.94 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 23.04 MB 23.05 MB +.03% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 48.45 MB 48.45 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 21.22 MB 21.22 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.12 KB 77.12 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 176.62 MB 176.63 MB +0% (+16.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 866.92 MB 866.92 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.24 MB 7.24 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.12 KB 77.12 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 24.62 MB 24.62 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 44.15 MB 44.15 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 80.18 MB 80.18 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.88 MB 9.88 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 100.31 MB 100.31 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.44 MB 11.44 MB 0% (0 B) 👌

@leoromanovsky leoromanovsky force-pushed the feature/ffe-rc-product branch from 4816ee1 to 6217aa7 Compare February 7, 2026 04:25
@leoromanovsky leoromanovsky mentioned this pull request Feb 7, 2026
Draft
@leoromanovsky leoromanovsky marked this pull request as ready for review February 7, 2026 05:02
@leoromanovsky leoromanovsky requested review from a team as code owners February 7, 2026 05:02
@leoromanovsky
feat: Add FFE_FLAGS remote config product and capability
6380964 
- Add FfeFlags variant to RemoteConfigProduct enum
- Add "FFE_FLAGS" string mapping in Display and FromStr
- Add FfeFlagConfigurationRules = 46 to RemoteConfigCapabilities
- Add FfeFlags(Vec<u8>) variant to RemoteConfigData to preserve raw bytes
@leoromanovsky leoromanovsky force-pushed the feature/ffe-rc-product branch from 6217aa7 to 6380964 Compare February 7, 2026 05:11
@leoromanovsky
feat: Parse FFE remote config data into UniversalFlagConfig behind fe…
6f9cbbe 
…ature flag

Gate FFE_FLAGS parsing behind an optional `ffe` feature, consistent with
how `live-debugger` works. When enabled, data is parsed into a typed
UniversalFlagConfig with proper Debug output; otherwise falls back to
raw Vec<u8>.
@leoromanovsky
Merge remote-tracking branch 'origin/main' into feature/ffe-rc-produc…
aebf318 
…t-v2
@leoromanovsky
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leoromanovsky commented Feb 8, 2026

Updated to include the UniversalFlagConfiguration struct by adding a dependency where it is defined behind a flag. Modeled on the live debugging product.

@leoromanovsky leoromanovsky requested a review from a team as a code owner February 8, 2026 23:39
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leoromanovsky commented Feb 8, 2026

Sorry for the additional commits after requesting review @bwoebi - should have waited for the fmt and other CI to pass beforehand. Thanks!

Tested locally with both ffe flag on and off:

> cargo check -p datadog-remote-config
Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.47s

> cargo check -p datadog-remote-config --features ffe
Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.55s

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