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feat(sidecar): add telemetry clients expiration #1077

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@Leiyks Leiyks commented May 28, 2025

What does this PR do?

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

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Benchmarks

Comparison

Benchmark execution time: 2025-06-18 14:21:48

Comparing candidate commit 74e40d7 in PR branch leiyks-reduce-telemetry-size with baseline commit a51462a in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 52 metrics, 2 unstable metrics.

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 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 71.920ms 72.163ms ± 0.154ms 72.119ms ± 0.079ms 72.246ms 72.404ms 72.597ms 73.265ms 1.59% 2.528 12.962 0.21% 0.011ms 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 [72.142ms; 72.185ms] or [-0.030%; +0.030%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 5.026µs 5.098µs ± 0.044µs 5.077µs ± 0.027µs 5.138µs 5.180µs 5.182µs 5.186µs 2.16% 0.564 -0.978 0.85% 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 [5.091µs; 5.104µs] or [-0.119%; +0.119%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 244.278ns 256.010ns ± 12.994ns 250.743ns ± 2.223ns 255.434ns 288.185ns 296.311ns 297.258ns 18.55% 1.997 2.666 5.06% 0.919ns 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_trace/test_trace execution_time [254.209ns; 257.811ns] or [-0.703%; +0.703%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 33.846µs 34.448µs ± 1.042µs 33.954µs ± 0.045µs 34.156µs 36.648µs 36.696µs 38.403µs 13.10% 1.749 1.366 3.02% 0.074µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [34.304µs; 34.593µs] or [-0.419%; +0.419%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 8.249ms 8.267ms ± 0.011ms 8.264ms ± 0.006ms 8.273ms 8.289ms 8.296ms 8.302ms 0.45% 0.999 0.748 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 [8.266ms; 8.269ms] or [-0.018%; +0.018%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 83.986µs 85.091µs ± 3.873µs 84.503µs ± 0.062µs 84.570µs 84.741µs 111.711µs 112.039µs 32.59% 6.661 42.956 4.54% 0.274µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [84.555µs; 85.628µs] or [-0.631%; +0.631%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 3.890µs 3.911µs ± 0.003µs 3.910µs ± 0.002µs 3.912µs 3.915µs 3.918µs 3.919µs 0.22% -1.772 17.579 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 255155778.241op/s 255707962.922op/s ± 175609.390op/s 255723935.782op/s ± 98424.613op/s 255808769.889op/s 255908815.196op/s 255924774.895op/s 257080470.712op/s 0.53% 1.806 17.862 0.07% 12417.459op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 78.492µs 80.285µs ± 0.770µs 80.236µs ± 0.498µs 80.717µs 81.588µs 82.232µs 82.568µs 2.91% 0.431 0.131 0.96% 0.054µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12111274.123op/s 12456741.115op/s ± 118987.035op/s 12463300.592op/s ± 77395.673op/s 12544077.065op/s 12622594.034op/s 12708274.144op/s 12740129.788op/s 2.22% -0.376 0.076 0.95% 8413.654op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 74.351µs 74.944µs ± 0.156µs 74.918µs ± 0.089µs 75.031µs 75.196µs 75.367µs 75.464µs 0.73% 0.280 1.667 0.21% 0.011µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13251364.742op/s 13343421.903op/s ± 27709.734op/s 13347972.939op/s ± 15866.027op/s 13359564.939op/s 13378478.515op/s 13412079.416op/s 13449692.579op/s 0.76% -0.257 1.675 0.21% 1959.374op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.890µs 3.911µs ± 0.003µs 3.911µs ± 0.002µs 3.913µs 3.916µs 3.919µs 3.931µs 0.50% -0.829 13.879 0.09% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254418342.160op/s 255674787.036op/s ± 227111.868op/s 255684876.240op/s ± 117918.113op/s 255798821.480op/s 255920479.485op/s 256005332.406op/s 257037623.794op/s 0.53% 0.870 13.959 0.09% 16059.234op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 71.604µs 72.074µs ± 0.163µs 72.067µs ± 0.091µs 72.162µs 72.362µs 72.504µs 72.584µs 0.72% 0.288 0.776 0.23% 0.012µs 1 200
credit_card/is_card_number/378282246310005 throughput 13777214.707op/s 13874709.367op/s ± 31390.495op/s 13875950.896op/s ± 17626.104op/s 13893151.028op/s 13925648.539op/s 13948580.512op/s 13965742.335op/s 0.65% -0.270 0.768 0.23% 2219.643op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 52.129µs 52.179µs ± 0.029µs 52.176µs ± 0.019µs 52.195µs 52.233µs 52.269µs 52.274µs 0.19% 0.881 0.755 0.06% 0.002µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 19129808.905op/s 19164631.053op/s ± 10626.878op/s 19165836.896op/s ± 6870.238op/s 19172242.428op/s 19179129.943op/s 19182601.687op/s 19183214.687op/s 0.09% -0.878 0.747 0.06% 751.434op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 5.692µs 5.868µs ± 0.074µs 5.864µs ± 0.055µs 5.923µs 5.995µs 6.035µs 6.039µs 2.99% 0.079 -0.522 1.26% 0.005µs 1 200
credit_card/is_card_number/x371413321323331 throughput 165586646.782op/s 170447449.742op/s ± 2158277.946op/s 170541535.889op/s ± 1595927.488op/s 171967844.502op/s 174330418.828op/s 174717572.240op/s 175679560.482op/s 3.01% -0.023 -0.526 1.26% 152613.297op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.889µs 3.911µs ± 0.003µs 3.911µs ± 0.001µs 3.912µs 3.915µs 3.919µs 3.919µs 0.21% -2.093 22.453 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 255157738.774op/s 255695561.163op/s ± 172582.906op/s 255700115.065op/s ± 77104.077op/s 255777948.335op/s 255873071.294op/s 255940638.755op/s 257117798.967op/s 0.55% 2.134 22.798 0.07% 12203.454op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 64.114µs 64.289µs ± 0.073µs 64.278µs ± 0.044µs 64.328µs 64.417µs 64.526µs 64.643µs 0.57% 1.114 2.849 0.11% 0.005µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15469516.178op/s 15554869.493op/s ± 17651.723op/s 15557499.246op/s ± 10576.081op/s 15567219.717op/s 15579062.986op/s 15582383.107op/s 15597139.485op/s 0.25% -1.101 2.796 0.11% 1248.165op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 57.344µs 57.503µs ± 0.124µs 57.474µs ± 0.052µs 57.537µs 57.706µs 57.899µs 58.276µs 1.39% 2.975 13.595 0.22% 0.009µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 17159825.928op/s 17390578.468op/s ± 37299.585op/s 17399117.865op/s ± 15656.488op/s 17412449.467op/s 17425838.163op/s 17431121.691op/s 17438603.837op/s 0.23% -2.932 13.238 0.21% 2637.479op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.892µs 3.910µs ± 0.002µs 3.910µs ± 0.001µs 3.911µs 3.913µs 3.915µs 3.916µs 0.17% -2.332 22.923 0.06% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 255344968.356op/s 255761642.978op/s ± 142936.908op/s 255769441.404op/s ± 74713.985op/s 255840264.426op/s 255913027.122op/s 255957089.988op/s 256954090.132op/s 0.46% 2.364 23.226 0.06% 10107.166op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 54.549µs 54.710µs ± 0.100µs 54.694µs ± 0.063µs 54.761µs 54.897µs 55.039µs 55.180µs 0.89% 1.281 2.383 0.18% 0.007µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 18122502.771op/s 18278368.576op/s ± 33300.421op/s 18283518.324op/s ± 21001.977op/s 18303373.313op/s 18317566.271op/s 18322121.123op/s 18332077.469op/s 0.27% -1.266 2.311 0.18% 2354.695op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 52.111µs 52.182µs ± 0.039µs 52.177µs ± 0.025µs 52.205µs 52.239µs 52.303µs 52.397µs 0.42% 1.389 4.351 0.08% 0.003µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 19085020.386op/s 19163828.536op/s ± 14485.540op/s 19165705.844op/s ± 9342.835op/s 19174587.441op/s 19181891.336op/s 19185885.121op/s 19189662.529op/s 0.12% -1.379 4.293 0.08% 1024.282op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 5.692µs 5.874µs ± 0.078µs 5.879µs ± 0.057µs 5.932µs 5.998µs 6.025µs 6.033µs 2.62% -0.091 -0.755 1.33% 0.006µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 165741310.145op/s 170263181.106op/s ± 2269470.235op/s 170084087.736op/s ± 1673634.577op/s 172243780.260op/s 173765529.657op/s 175677793.472op/s 175693605.217op/s 3.30% 0.140 -0.730 1.33% 160475.779op/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 [3.910µs; 3.911µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255683625.149op/s; 255732300.694op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.178µs; 80.392µs] or [-0.133%; +0.133%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12440250.657op/s; 12473231.574op/s] or [-0.132%; +0.132%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [74.922µs; 74.965µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13339581.601op/s; 13347262.206op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number/37828224631 execution_time [3.911µs; 3.912µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/37828224631 throughput [255643311.516op/s; 255706262.557op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/378282246310005 execution_time [72.051µs; 72.097µs] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/378282246310005 throughput [13870358.946op/s; 13879059.787op/s] or [-0.031%; +0.031%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [52.175µs; 52.183µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [19163158.270op/s; 19166103.837op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number/x371413321323331 execution_time [5.858µs; 5.878µs] or [-0.176%; +0.176%] None None None
credit_card/is_card_number/x371413321323331 throughput [170148333.176op/s; 170746566.308op/s] or [-0.175%; +0.175%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.911µs; 3.911µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ throughput [255671642.832op/s; 255719479.494op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [64.279µs; 64.299µs] or [-0.016%; +0.016%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15552423.134op/s; 15557315.852op/s] or [-0.016%; +0.016%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [57.485µs; 57.520µs] or [-0.030%; +0.030%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [17385409.104op/s; 17395747.832op/s] or [-0.030%; +0.030%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.910µs; 3.910µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255741833.297op/s; 255781452.659op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [54.696µs; 54.724µs] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [18273753.458op/s; 18282983.694op/s] or [-0.025%; +0.025%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [52.176µs; 52.187µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [19161820.979op/s; 19165836.092op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [5.863µs; 5.885µs] or [-0.184%; +0.184%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [169948654.359op/s; 170577707.854op/s] or [-0.185%; +0.185%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 154.910µs 155.731µs ± 0.443µs 155.660µs ± 0.180µs 155.863µs 156.285µs 157.511µs 158.897µs 2.08% 3.050 16.082 0.28% 0.031µs 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 [155.670µs; 155.793µs] or [-0.039%; +0.039%] None None None

Group 9

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 2.407µs 2.432µs ± 0.009µs 2.431µs ± 0.005µs 2.437µs 2.450µs 2.453µs 2.460µs 1.18% 0.475 0.335 0.36% 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 [2.431µs; 2.433µs] or [-0.050%; +0.050%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 204.412µs 205.053µs ± 0.407µs 205.014µs ± 0.277µs 205.280µs 205.865µs 206.133µs 206.449µs 0.70% 0.701 0.239 0.20% 0.029µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 4843816.377op/s 4876815.099op/s ± 9677.558op/s 4877721.134op/s ± 6591.479op/s 4884359.328op/s 4890191.833op/s 4891738.600op/s 4892091.049op/s 0.29% -0.691 0.215 0.20% 684.307op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 18.567µs 18.691µs ± 0.089µs 18.666µs ± 0.033µs 18.706µs 18.879µs 19.009µs 19.025µs 1.92% 1.703 2.810 0.48% 0.006µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 52562019.843op/s 53503056.609op/s ± 253687.774op/s 53573755.398op/s ± 96102.731op/s 53654301.274op/s 53755102.657op/s 53852478.283op/s 53858112.173op/s 0.53% -1.676 2.703 0.47% 17938.435op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 10.782µs 10.881µs ± 0.040µs 10.878µs ± 0.025µs 10.903µs 10.952µs 10.987µs 10.989µs 1.02% 0.290 0.095 0.36% 0.003µs 1 200
normalization/normalize_name/normalize_name/good throughput 91001165.649op/s 91903319.185op/s ± 335611.735op/s 91928921.438op/s ± 213306.855op/s 92133585.567op/s 92417308.029op/s 92603656.326op/s 92750914.234op/s 0.89% -0.268 0.081 0.36% 23731.333op/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 [204.996µs; 205.109µs] 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 [4875473.883op/s; 4878156.316op/s] or [-0.028%; +0.028%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [18.679µs; 18.703µs] or [-0.066%; +0.066%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [53467897.924op/s; 53538215.295op/s] or [-0.066%; +0.066%] None None None
normalization/normalize_name/normalize_name/good execution_time [10.876µs; 10.887µs] or [-0.051%; +0.051%] None None None
normalization/normalize_name/normalize_name/good throughput [91856806.626op/s; 91949831.743op/s] or [-0.051%; +0.051%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
two way interface execution_time 17.695µs 25.809µs ± 9.690µs 17.927µs ± 0.158µs 34.670µs 43.057µs 44.439µs 61.756µs 244.48% 0.760 -0.302 37.45% 0.685µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [24.466µs; 27.152µs] or [-5.203%; +5.203%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time 533.916µs 534.619µs ± 0.795µs 534.517µs ± 0.243µs 534.820µs 535.313µs 535.762µs 544.437µs 1.86% 9.514 114.487 0.15% 0.056µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1836759.213op/s 1870493.973op/s ± 2743.945op/s 1870847.990op/s ± 850.904op/s 1871549.760op/s 1872630.781op/s 1872907.655op/s 1872952.560op/s 0.11% -9.399 112.567 0.15% 194.026op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 380.476µs 381.220µs ± 0.419µs 381.154µs ± 0.222µs 381.410µs 381.755µs 382.336µs 384.082µs 0.77% 3.312 19.700 0.11% 0.030µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2603608.624op/s 2623163.531op/s ± 2873.044op/s 2623610.257op/s ± 1525.837op/s 2624917.993op/s 2626053.749op/s 2626955.862op/s 2628286.072op/s 0.18% -3.277 19.392 0.11% 203.155op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 189.668µs 190.027µs ± 0.240µs 190.003µs ± 0.122µs 190.125µs 190.359µs 190.591µs 192.253µs 1.18% 4.217 35.243 0.13% 0.017µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5201488.319op/s 5262412.849op/s ± 6623.238op/s 5263072.663op/s ± 3386.511op/s 5266424.713op/s 5269750.666op/s 5271370.541op/s 5272363.541op/s 0.18% -4.144 34.346 0.13% 468.334op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 37.221µs 37.436µs ± 0.069µs 37.436µs ± 0.045µs 37.486µs 37.550µs 37.597µs 37.602µs 0.44% -0.214 0.180 0.18% 0.005µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 26594513.296op/s 26712067.277op/s ± 49555.097op/s 26712320.060op/s ± 32416.299op/s 26738992.958op/s 26797824.481op/s 26834002.922op/s 26866197.274op/s 0.58% 0.225 0.190 0.19% 3504.075op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.824µs 45.924µs ± 0.100µs 45.917µs ± 0.036µs 45.950µs 46.011µs 46.046µs 47.144µs 2.67% 9.231 110.101 0.22% 0.007µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21211631.988op/s 21775167.843op/s ± 46380.384op/s 21778513.246op/s ± 16848.168op/s 21796260.065op/s 21812193.115op/s 21819278.336op/s 21822398.170op/s 0.20% -9.057 107.249 0.21% 3279.588op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... execution_time [534.509µs; 534.730µs] or [-0.021%; +0.021%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [1870113.688op/s; 1870874.257op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [381.161µs; 381.278µs] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2622765.354op/s; 2623561.707op/s] or [-0.015%; +0.015%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [189.994µs; 190.061µs] or [-0.018%; +0.018%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5261494.932op/s; 5263330.767op/s] or [-0.017%; +0.017%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [37.427µs; 37.446µs] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [26705199.417op/s; 26718935.137op/s] or [-0.026%; +0.026%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.910µs; 45.938µs] or [-0.030%; +0.030%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21768739.967op/s; 21781595.718op/s] or [-0.030%; +0.030%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 74e40d7 1750255793 leiyks-reduce-telemetry-size
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 1.189µs 3.257µs ± 1.463µs 3.024µs ± 0.024µs 3.055µs 3.705µs 14.384µs 14.912µs 393.08% 7.261 54.063 44.79% 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 [3.054µs; 3.460µs] or [-6.224%; +6.224%] None None None

Baseline

Omitted due to size.

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codecov-commenter commented May 28, 2025 •
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Codecov Report

Attention: Patch coverage is 0% with 361 lines in your changes missing coverage. Please review.

Project coverage is 70.93%. Comparing base (a51462a) to head (74e40d7).

Additional details and impacted files 
@@            Coverage Diff             @@
##             main    #1077      +/-   ##
==========================================
- Coverage   71.00%   70.93%   -0.07%     
==========================================
  Files         336      334       -2     
  Lines       51191    50954     -237     
==========================================
- Hits        36347    36144     -203     
+ Misses      14844    14810      -34
Components Coverage Δ
datadog-crashtracker 44.45% <ø> (+0.02%) ⬆️
datadog-crashtracker-ffi 6.03% <ø> (ø)
datadog-alloc 98.73% <ø> (ø)
data-pipeline 89.23% <ø> (ø)
data-pipeline-ffi 88.94% <ø> (ø)
ddcommon 78.63% <ø> (ø)
ddcommon-ffi 67.87% <ø> (ø)
ddtelemetry 60.08% <0.00%> (-0.07%) ⬇️
ddtelemetry-ffi 21.32% <ø> (ø)
dogstatsd-client 83.26% <ø> (ø)
datadog-ipc 82.58% <ø> (ø)
datadog-profiling 77.17% <ø> (ø)
datadog-profiling-ffi 62.12% <ø> (ø)
datadog-sidecar 39.24% <0.00%> (-1.94%) ⬇️
datdog-sidecar-ffi 0.29% <0.00%> (-2.63%) ⬇️
spawn-worker 55.35% <ø> (ø)
tinybytes 90.96% <ø> (ø)
datadog-trace-normalization 98.24% <ø> (ø)
datadog-trace-obfuscation 94.17% <ø> (ø)
datadog-trace-protobuf 77.10% <ø> (ø)
datadog-trace-utils 89.07% <ø> (ø)
datadog-tracer-flare 60.47% <ø> (ø)
datadog-log 76.31% <ø> (ø)
🚀 New features to boost your workflow:
  • ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

@Leiyks Leiyks force-pushed the leiyks-reduce-telemetry-size branch from 88e2fff to d0dd988 Compare June 3, 2025 14:07
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r1viollet commented Jun 3, 2025 •
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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 9.16 MB 9.16 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug 21.98 MB 21.98 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 69.92 MB 69.92 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.08 MB 9.08 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug 26.02 MB 26.02 MB +0% (+8 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 82.10 MB 82.10 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 16.01 MB 16.01 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 62.65 KB 62.65 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 109.13 MB 109.16 MB +.02% (+24.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 583.85 MB 583.85 MB +0% (+296 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 5.01 MB 5.01 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 62.65 KB 62.65 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 15.54 MB 15.54 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 28.57 MB 28.57 MB +0% (+108 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 13.58 MB 13.58 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 63.60 KB 63.60 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 110.92 MB 110.94 MB +.01% (+16.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 574.65 MB 574.65 MB -0% (-164 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 3.78 MB 3.78 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 63.60 KB 63.60 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 16.51 MB 16.51 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 26.77 MB 26.77 MB +0% (+76 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 62.68 MB 62.68 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.80 MB 9.80 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug 20.84 MB 20.84 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 77.12 MB 77.12 MB +0% (+8 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 9.70 MB 9.70 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug 23.96 MB 23.96 MB +0% (+8 B) 👌

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@Leiyks Leiyks force-pushed the leiyks-reduce-telemetry-size branch 4 times, most recently from 8108039 to e69e142 Compare June 17, 2025 13:23
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@Leiyks Leiyks force-pushed the leiyks-reduce-telemetry-size branch from e69e142 to 2671326 Compare June 18, 2025 11:35
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@Leiyks Leiyks force-pushed the leiyks-reduce-telemetry-size branch from 9257c8b to 97e94de Compare June 18, 2025 12:57
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@Leiyks Leiyks force-pushed the leiyks-reduce-telemetry-size branch from 97e94de to bd0fe85 Compare June 18, 2025 14:00
@Leiyks
feat(sidecar): apply feedbacks
74e40d7 
Signed-off-by: Alexandre Rulleau <[email protected]>
@Leiyks Leiyks force-pushed the leiyks-reduce-telemetry-size branch from bd0fe85 to 74e40d7 Compare June 18, 2025 14:09
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