chore: exclude libdatadog from ADMS auto generated PRs for dependency updates

[ekump]

What does this PR do?

ADMS opens auto-generated PRs to update dependencies. None of the PRs properly compile. Rust is not listed as officially supported. The common components team monitors dependabot issues for security updates. These PRs just create noise and unnecessary work.

examples:

#1665
#1666
#1667
#1668
#1669
#1670
#1671
#1672
#1673
#1674

Motivation

What inspired you to submit this pull request?

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-07 04:05:58

Comparing candidate commit c856aca in PR branch ekump/APMSP-2694-opt-out-auto-dep-upgrades with baseline commit 7e909c0 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 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	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	4.175ms	4.180ms ± 0.008ms	4.179ms ± 0.001ms	4.181ms	4.185ms	4.190ms	4.292ms	2.71%	11.945	156.264	0.20%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.179ms; 4.181ms] or [-0.028%; +0.028%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	4.920µs	5.035µs ± 0.052µs	5.049µs ± 0.034µs	5.070µs	5.114µs	5.117µs	5.117µs	1.35%	-0.392	-0.762	1.03%	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	[5.028µs; 5.042µs] or [-0.144%; +0.144%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	17.652µs	25.139µs ± 9.139µs	17.865µs ± 0.164µs	33.582µs	41.654µs	42.747µs	60.182µs	236.88%	0.798	-0.281	36.26%	0.646µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[23.872µs; 26.405µs] or [-5.038%; +5.038%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	161.858µs	162.797µs ± 0.338µs	162.747µs ± 0.131µs	162.895µs	163.265µs	163.696µs	165.888µs	1.93%	4.365	35.288	0.21%	0.024µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[162.750µs; 162.844µs] or [-0.029%; +0.029%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	85.509µs	86.027µs ± 0.154µs	86.005µs ± 0.045µs	86.072µs	86.161µs	86.838µs	87.367µs	1.58%	4.649	35.311	0.18%	0.011µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.006µs; 86.049µs] or [-0.025%; +0.025%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	240.285ns	250.066ns ± 12.014ns	245.403ns ± 3.009ns	252.161ns	281.422ns	291.485ns	292.668ns	19.26%	2.056	3.482	4.79%	0.850ns	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	[248.401ns; 251.731ns] or [-0.666%; +0.666%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	33.292µs	33.989µs ± 0.869µs	33.488µs ± 0.139µs	35.256µs	35.326µs	35.378µs	36.786µs	9.85%	0.951	-0.846	2.55%	0.061µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.869µs; 34.109µs] or [-0.354%; +0.354%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	48.371ms	48.773ms ± 1.140ms	48.641ms ± 0.053ms	48.692ms	48.872ms	52.276ms	62.709ms	28.92%	10.271	115.249	2.33%	0.081ms	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	[48.615ms; 48.931ms] or [-0.324%; +0.324%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	185.279µs	185.747µs ± 0.361µs	185.701µs ± 0.163µs	185.870µs	186.295µs	186.741µs	188.479µs	1.50%	3.692	22.326	0.19%	0.026µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5305620.310op/s	5383685.731op/s ± 10382.142op/s	5385002.432op/s ± 4732.860op/s	5389496.014op/s	5395184.702op/s	5396992.566op/s	5397254.093op/s	0.23%	-3.631	21.736	0.19%	734.128op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.918µs	17.988µs ± 0.056µs	17.980µs ± 0.021µs	18.006µs	18.047µs	18.087µs	18.635µs	3.64%	7.672	84.794	0.31%	0.004µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	53663890.876op/s	55592691.546op/s ± 170126.779op/s	55616923.720op/s ± 64673.664op/s	55669955.756op/s	55741683.866op/s	55777211.394op/s	55809564.634op/s	0.35%	-7.413	80.811	0.31%	12029.780op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.393µs	10.496µs ± 0.050µs	10.493µs ± 0.033µs	10.530µs	10.579µs	10.600µs	10.644µs	1.44%	0.240	-0.302	0.47%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93948506.254op/s	95276334.541op/s ± 450499.712op/s	95300356.782op/s ± 302769.063op/s	95585696.837op/s	95957876.600op/s	96197275.779op/s	96216995.566op/s	0.96%	-0.217	-0.324	0.47%	31855.140op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[185.697µs; 185.797µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5382246.866op/s; 5385124.596op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.980µs; 17.996µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55569113.611op/s; 55616269.482op/s] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.489µs; 10.503µs] or [-0.066%; +0.066%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[95213899.613op/s; 95338769.468op/s] or [-0.066%; +0.066%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	13.902ms	13.970ms ± 0.033ms	13.966ms ± 0.015ms	13.983ms	14.014ms	14.093ms	14.120ms	1.10%	1.673	5.109	0.23%	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	[13.965ms; 13.974ms] or [-0.032%; +0.032%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	187.586ns	190.069ns ± 2.299ns	189.878ns ± 1.578ns	191.251ns	193.448ns	196.728ns	205.196ns	8.07%	2.072	8.897	1.21%	0.163ns	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	[189.751ns; 190.388ns] or [-0.168%; +0.168%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	732.747µs	734.157µs ± 0.702µs	734.099µs ± 0.355µs	734.465µs	735.089µs	735.588µs	740.406µs	0.86%	3.622	29.800	0.10%	0.050µs	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	[734.060µs; 734.255µs] or [-0.013%; +0.013%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	3.891µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.916µs	3.917µs	3.920µs	0.21%	-1.590	10.883	0.08%	0.000µs	1	200
credit_card/is_card_number/	throughput	255071580.148op/s	255623845.152op/s ± 192436.293op/s	255616656.211op/s ± 132276.393op/s	255749609.044op/s	255874296.454op/s	255948018.074op/s	256983065.047op/s	0.53%	1.613	11.072	0.08%	13607.301op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.030µs	79.750µs ± 0.412µs	79.686µs ± 0.315µs	80.051µs	80.452µs	80.743µs	81.097µs	1.77%	0.511	-0.216	0.52%	0.029µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12330896.676op/s	12539474.024op/s ± 64586.774op/s	12549198.595op/s ± 49737.425op/s	12593353.905op/s	12628107.327op/s	12647365.636op/s	12653459.601op/s	0.83%	-0.488	-0.264	0.51%	4566.975op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.283µs	73.018µs ± 0.349µs	72.987µs ± 0.246µs	73.239µs	73.626µs	73.914µs	74.126µs	1.56%	0.510	0.061	0.48%	0.025µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13490477.189op/s	13695583.895op/s ± 65322.348op/s	13701085.721op/s ± 46033.419op/s	13743491.953op/s	13790786.601op/s	13812286.984op/s	13834568.436op/s	0.97%	-0.484	0.016	0.48%	4618.988op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.911µs ± 0.002µs	3.911µs ± 0.001µs	3.913µs	3.916µs	3.917µs	3.917µs	0.16%	-1.207	8.913	0.06%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255266060.939op/s	255657563.618op/s ± 162900.179op/s	255664632.019op/s ± 96309.710op/s	255751244.896op/s	255881362.028op/s	255929348.367op/s	256753439.150op/s	0.43%	1.225	9.045	0.06%	11518.782op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.128µs	69.760µs ± 0.342µs	69.741µs ± 0.224µs	69.960µs	70.376µs	70.735µs	70.863µs	1.61%	0.607	0.337	0.49%	0.024µs	1	200
credit_card/is_card_number/378282246310005	throughput	14111796.197op/s	14335292.649op/s ± 70053.475op/s	14338817.699op/s ± 45893.852op/s	14386261.293op/s	14437711.233op/s	14445808.776op/s	14465816.572op/s	0.89%	-0.578	0.277	0.49%	4953.529op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.145µs	52.214µs ± 0.038µs	52.212µs ± 0.025µs	52.236µs	52.278µs	52.311µs	52.335µs	0.23%	0.539	0.155	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19107852.382op/s	19152074.167op/s ± 14024.438op/s	19152557.201op/s ± 9288.690op/s	19162151.877op/s	19171579.188op/s	19175796.157op/s	19177202.142op/s	0.13%	-0.535	0.147	0.07%	991.677op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.027µs	6.036µs ± 0.009µs	6.033µs ± 0.002µs	6.036µs	6.047µs	6.073µs	6.107µs	1.22%	4.199	21.297	0.16%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163751747.212op/s	165686522.402op/s ± 257201.753op/s	165746027.672op/s ± 59744.070op/s	165796862.673op/s	165863255.056op/s	165902598.761op/s	165911703.333op/s	0.10%	-4.173	21.002	0.15%	18186.910op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.912µs ± 0.003µs	3.911µs ± 0.001µs	3.913µs	3.916µs	3.920µs	3.924µs	0.33%	-0.101	11.116	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254829827.811op/s	255635839.456op/s ± 184256.661op/s	255661742.311op/s ± 86408.842op/s	255735904.453op/s	255832565.873op/s	255929279.647op/s	256836358.864op/s	0.46%	0.129	11.228	0.07%	13028.913op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.052µs	64.387µs ± 0.137µs	64.364µs ± 0.087µs	64.463µs	64.623µs	64.783µs	64.841µs	0.74%	0.709	0.582	0.21%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15422340.803op/s	15531271.234op/s ± 33081.160op/s	15536745.249op/s ± 21048.018op/s	15555475.951op/s	15575734.019op/s	15587535.633op/s	15612436.867op/s	0.49%	-0.696	0.560	0.21%	2339.191op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.969µs	58.150µs ± 0.119µs	58.110µs ± 0.059µs	58.189µs	58.377µs	58.508µs	58.596µs	0.84%	1.292	1.446	0.20%	0.008µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17065957.459op/s	17196894.392op/s ± 35055.660op/s	17208636.766op/s ± 17349.202op/s	17220483.556op/s	17235764.460op/s	17243692.757op/s	17250694.066op/s	0.24%	-1.281	1.409	0.20%	2478.810op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.891µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.916µs	3.920µs	3.921µs	0.23%	-1.417	12.914	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255025330.488op/s	255618722.011op/s ± 193510.016op/s	255624552.413op/s ± 112302.814op/s	255738546.199op/s	255861211.765op/s	255905295.462op/s	257024912.016op/s	0.55%	1.446	13.135	0.08%	13683.224op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.576µs	54.928µs ± 0.273µs	54.871µs ± 0.175µs	55.061µs	55.446µs	55.801µs	55.854µs	1.79%	1.205	1.306	0.50%	0.019µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17903750.226op/s	18206033.193op/s ± 89843.942op/s	18224715.455op/s ± 57988.756op/s	18277555.787op/s	18301573.736op/s	18318341.067op/s	18323046.587op/s	0.54%	-1.177	1.214	0.49%	6352.926op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.142µs	52.202µs ± 0.036µs	52.197µs ± 0.023µs	52.223µs	52.269µs	52.313µs	52.363µs	0.32%	1.004	1.643	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19097621.471op/s	19156195.931op/s ± 13133.363op/s	19158257.988op/s ± 8505.886op/s	19166232.453op/s	19173103.587op/s	19176588.990op/s	19178228.875op/s	0.10%	-0.998	1.621	0.07%	928.669op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.027µs	6.035µs ± 0.007µs	6.034µs ± 0.002µs	6.036µs	6.040µs	6.072µs	6.074µs	0.68%	3.998	20.319	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	164626192.733op/s	165706093.037op/s ± 180420.858op/s	165737572.709op/s ± 66624.859op/s	165799429.918op/s	165864444.667op/s	165905829.575op/s	165916737.034op/s	0.11%	-3.977	20.164	0.11%	12757.681op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.912µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255597175.333op/s; 255650514.972op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.693µs; 79.807µs] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12530522.918op/s; 12548425.129op/s] or [-0.071%; +0.071%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.970µs; 73.066µs] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13686530.846op/s; 13704636.944op/s] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255634987.220op/s; 255680140.016op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.712µs; 69.807µs] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14325583.911op/s; 14345001.387op/s] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.208µs; 52.219µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19150130.515op/s; 19154017.819op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.034µs; 6.037µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165650876.713op/s; 165722168.091op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.911µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255610303.255op/s; 255661375.657op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.367µs; 64.406µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15526686.503op/s; 15535855.964op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.134µs; 58.167µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17192036.015op/s; 17201752.769op/s] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255591903.384op/s; 255645540.638op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.890µs; 54.966µs] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18193581.687op/s; 18218484.700op/s] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.197µs; 52.207µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19154375.773op/s; 19158016.088op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.034µs; 6.036µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165681088.441op/s; 165731097.632op/s] or [-0.015%; +0.015%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	1.219µs	3.210µs ± 1.426µs	2.996µs ± 0.032µs	3.023µs	3.655µs	13.987µs	14.734µs	391.79%	7.320	54.849	44.31%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.013µs; 3.408µs] or [-6.156%; +6.156%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	534.057µs	535.689µs ± 1.264µs	535.177µs ± 0.456µs	536.497µs	538.010µs	539.260µs	541.219µs	1.13%	1.324	1.480	0.24%	0.089µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1847679.478op/s	1866763.456op/s ± 4390.903op/s	1868539.970op/s ± 1592.485op/s	1869766.990op/s	1871400.228op/s	1872246.346op/s	1872459.101op/s	0.21%	-1.312	1.423	0.23%	310.484op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.086µs	380.751µs ± 0.327µs	380.741µs ± 0.208µs	380.935µs	381.312µs	381.605µs	382.090µs	0.35%	0.612	0.841	0.09%	0.023µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2617184.731op/s	2626391.974op/s ± 2254.206op/s	2626454.956op/s ± 1437.726op/s	2628024.499op/s	2629814.895op/s	2630638.777op/s	2630985.019op/s	0.17%	-0.606	0.824	0.09%	159.396op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.740µs	190.215µs ± 0.219µs	190.221µs ± 0.149µs	190.352µs	190.539µs	190.813µs	190.979µs	0.40%	0.346	0.222	0.12%	0.016µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5236164.442op/s	5257226.305op/s ± 6060.451op/s	5257046.313op/s ± 4113.244op/s	5261613.317op/s	5266842.055op/s	5268633.029op/s	5270357.872op/s	0.25%	-0.339	0.208	0.11%	428.539op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.208µs	37.454µs ± 0.069µs	37.449µs ± 0.038µs	37.490µs	37.571µs	37.635µs	37.669µs	0.59%	0.058	1.199	0.18%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26546830.901op/s	26699849.069op/s ± 48944.026op/s	26702821.442op/s ± 27152.837op/s	26727097.483op/s	26772251.860op/s	26833305.626op/s	26875704.187op/s	0.65%	-0.040	1.207	0.18%	3460.865op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.758µs	45.908µs ± 0.122µs	45.895µs ± 0.042µs	45.944µs	45.984µs	46.027µs	47.440µs	3.37%	9.974	123.209	0.26%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21079100.025op/s	21782829.246op/s ± 56368.408op/s	21788860.615op/s ± 20000.437op/s	21802940.992op/s	21826403.097op/s	21848342.234op/s	21854239.990op/s	0.30%	-9.770	119.832	0.26%	3985.848op/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	[535.514µs; 535.865µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1866154.919op/s; 1867371.993op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.705µs; 380.796µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2626079.563op/s; 2626704.385op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.184µs; 190.245µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5256386.385op/s; 5258066.226op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.444µs; 37.463µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26693065.898op/s; 26706632.240op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.891µs; 45.925µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21775017.127op/s; 21790641.365op/s] or [-0.036%; +0.036%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	144.006µs	146.204µs ± 1.716µs	145.832µs ± 0.579µs	146.545µs	148.016µs	152.313µs	161.794µs	10.95%	5.052	37.387	1.17%	0.121µs	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	[145.966µs; 146.442µs] or [-0.163%; +0.163%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	2.346µs	2.406µs ± 0.017µs	2.404µs ± 0.007µs	2.411µs	2.438µs	2.445µs	2.447µs	1.80%	-0.350	1.616	0.72%	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	[2.403µs; 2.408µs] or [-0.099%; +0.099%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

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	10.648ms	10.674ms ± 0.015ms	10.672ms ± 0.009ms	10.683ms	10.699ms	10.718ms	10.747ms	0.70%	1.328	3.572	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	[10.672ms; 10.676ms] or [-0.019%; +0.019%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	c856aca	1772855283	ekump/APMSP-2694-opt-out-auto-dep-upgrades

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2597	execution_time	3.123ms	3.158ms ± 0.024ms	3.150ms ± 0.010ms	3.168ms	3.208ms	3.225ms	3.247ms	3.07%	1.260	1.120	0.74%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2597	execution_time	[3.155ms; 3.162ms] or [-0.103%; +0.103%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.38%. Comparing base (7e909c0) to head (c856aca).

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1688   +/-   ##
=======================================
  Coverage   71.37%   71.38%           
=======================================
  Files         427      427           
  Lines       62903    62903           
=======================================
+ Hits        44899    44903    +4     
+ Misses      18004    18000    -4     

Components	Coverage Δ
libdd-crashtracker	62.98% <ø> (-0.02%)	⬇️
libdd-crashtracker-ffi	16.56% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	88.02% <ø> (ø)
libdd-data-pipeline-ffi	75.72% <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> (ø)
libdd-profiling-ffi	63.65% <ø> (ø)
datadog-sidecar	34.48% <ø> (ø)
datdog-sidecar-ffi	16.55% <ø> (ø)
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	94.69% <ø> (ø)
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	89.08% <ø> (ø)
datadog-tracer-flare	88.95% <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.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	98.65 MB	98.65 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.29 MB	11.29 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	114.30 MB	114.30 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.17 MB	27.17 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	186.04 MB	186.02 MB	-0% (-16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.20 MB	917.20 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	24.76 MB	24.76 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	190.24 MB	190.24 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.85 MB	900.85 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	26.52 MB	26.52 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.07 MB	47.07 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	86.54 MB	86.54 MB	-0% (-8 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.23 MB	10.23 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	107.16 MB	107.16 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.98 MB	11.98 MB	0% (0 B) 👌