chore(build): ekump/APMSP-2718 update aws-lc dependencies by ekump · Pull Request #1751 · DataDog/libdatadog

ekump · 2026-03-17T17:32:51Z

What does this PR do?

Update rustls and hyper-rustls to update transitive dependencies on aws-lc-sys, aws-lc-fips-sys, aws-lc-rs

In addition to updating those two direct dependencies I also had to run cargo update aws-lc-fips-sys to get it to use a new enough version.

Motivation

https://github.com/DataDog/libdatadog/security/dependabot/45
https://github.com/DataDog/libdatadog/security/dependabot/46
https://github.com/DataDog/libdatadog/security/dependabot/47
https://github.com/DataDog/libdatadog/security/dependabot/48

Additional Notes

This update also removes making outbound http requests from our unit tests for mini-agent gated tests. They were unnecessarily making connections to example.com to test the webki-roots fallback. We can verify the fallback is working correctly without the requests.

How to test the change?

Describe here in detail how the change can be validated.

pr-commenter · 2026-03-17T17:44:48Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-20 13:39:50

Comparing candidate commit 342ce1d in PR branch ekump/APMSP-2718-update-aws-lc with baseline commit d88e70e in branch main.

Found 1 performance improvements and 15 performance regressions! Performance is the same for 43 metrics, 2 unstable metrics.

Explanation

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

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

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

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

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

More details about the CI and significant changes

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

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

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

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

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

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

scenario:credit_card/is_card_number/ 3782-8224-6310-005

🟥 execution_time [+3.228µs; +3.471µs] or [+4.219%; +4.536%]
🟥 throughput [-569686.673op/s; -528971.522op/s] or [-4.358%; -4.047%]

scenario:credit_card/is_card_number/ 378282246310005

🟥 execution_time [+5.143µs; +5.263µs] or [+7.508%; +7.683%]
🟥 throughput [-1041097.814op/s; -1018948.399op/s] or [-7.132%; -6.980%]

scenario:credit_card/is_card_number/378282246310005

🟥 execution_time [+5.463µs; +5.564µs] or [+8.429%; +8.585%]
🟥 throughput [-1220015.553op/s; -1199037.368op/s] or [-7.907%; -7.771%]

scenario:credit_card/is_card_number/37828224631000521389798

🟥 execution_time [+7.392µs; +7.428µs] or [+16.168%; +16.247%]
🟥 throughput [-3059212.032op/s; -3042204.276op/s] or [-13.987%; -13.909%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

🟥 execution_time [+4.668µs; +4.729µs] or [+8.603%; +8.715%]
🟥 throughput [-1477508.385op/s; -1459633.176op/s] or [-8.017%; -7.920%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

🟥 execution_time [+5.122µs; +5.179µs] or [+10.144%; +10.258%]
🟥 throughput [-1843360.079op/s; -1823241.102op/s] or [-9.307%; -9.206%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

🟥 execution_time [+7.380µs; +7.418µs] or [+16.129%; +16.213%]
🟥 throughput [-3051326.919op/s; -3033510.978op/s] or [-13.961%; -13.880%]

scenario:profile_add_sample2_frames_x1000

🟩 execution_time [-39.881µs; -38.937µs] or [-5.142%; -5.020%]

scenario:receiver_entry_point/report/2598

🟥 execution_time [+199.398µs; +209.258µs] or [+5.864%; +6.154%]

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	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	735.124µs	736.194µs ± 0.503µs	736.172µs ± 0.329µs	736.479µs	737.092µs	737.639µs	738.119µs	0.26%	0.624	0.718	0.07%	0.036µs	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	[736.124µs; 736.263µs] or [-0.009%; +0.009%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	13.776ms	13.829ms ± 0.029ms	13.826ms ± 0.014ms	13.838ms	13.870ms	13.933ms	14.019ms	1.39%	2.568	11.488	0.21%	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	[13.824ms; 13.833ms] or [-0.029%; +0.029%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	190.432ns	192.830ns ± 2.191ns	192.446ns ± 1.650ns	194.106ns	196.915ns	199.529ns	201.020ns	4.45%	1.197	1.446	1.13%	0.155ns	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	[192.526ns; 193.134ns] or [-0.157%; +0.157%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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_timestamped_x1000	execution_time	4.160ms	4.164ms ± 0.008ms	4.163ms ± 0.001ms	4.165ms	4.167ms	4.170ms	4.265ms	2.46%	12.253	160.872	0.18%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_timestamped_x1000	execution_time	[4.163ms; 4.165ms] or [-0.025%; +0.025%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	161.654µs	162.157µs ± 0.318µs	162.103µs ± 0.154µs	162.270µs	162.622µs	163.064µs	164.992µs	1.78%	4.007	30.620	0.20%	0.022µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching string interning on wordpress profile	execution_time	[162.113µs; 162.201µs] or [-0.027%; +0.027%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	1.211µs	3.203µs ± 1.411µs	2.992µs ± 0.024µs	3.014µs	3.655µs	13.887µs	14.785µs	394.12%	7.328	54.954	43.96%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.007µs; 3.398µs] or [-6.107%; +6.107%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	4.277ms	4.285ms ± 0.003ms	4.284ms ± 0.002ms	4.286ms	4.289ms	4.293ms	4.311ms	0.62%	3.018	20.537	0.08%	0.000ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.284ms; 4.285ms] or [-0.011%; +0.011%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	238.395ns	250.433ns ± 15.539ns	243.787ns ± 3.862ns	253.564ns	288.314ns	296.129ns	307.885ns	26.29%	1.865	2.528	6.19%	1.099ns	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	[248.279ns; 252.586ns] or [-0.860%; +0.860%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	3.894µs	3.915µs ± 0.003µs	3.915µs ± 0.001µs	3.916µs	3.921µs	3.924µs	3.925µs	0.25%	-1.143	14.973	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254804572.675op/s	255414008.574op/s ± 184999.373op/s	255433972.721op/s ± 74239.364op/s	255502296.734op/s	255611006.892op/s	255705191.109op/s	256785202.094op/s	0.53%	1.178	15.213	0.07%	13081.431op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.168µs	79.855µs ± 0.378µs	79.789µs ± 0.239µs	80.046µs	80.609µs	80.930µs	81.039µs	1.57%	0.869	0.496	0.47%	0.027µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12339717.113op/s	12522979.808op/s ± 59035.408op/s	12532996.720op/s ± 37571.809op/s	12565844.777op/s	12599928.560op/s	12614331.508op/s	12631345.948op/s	0.78%	-0.844	0.440	0.47%	4174.434op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.912µs	73.708µs ± 0.422µs	73.663µs ± 0.294µs	73.996µs	74.425µs	74.716µs	74.915µs	1.70%	0.529	-0.413	0.57%	0.030µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13348520.547op/s	13567494.311op/s ± 77414.153op/s	13575414.247op/s ± 54409.172op/s	13626516.875op/s	13670955.267op/s	13691579.702op/s	13715097.095op/s	1.03%	-0.506	-0.448	0.57%	5474.007op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.915µs ± 0.003µs	3.915µs ± 0.001µs	3.917µs	3.919µs	3.923µs	3.923µs	0.20%	-2.419	20.263	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254896583.318op/s	255406509.656op/s ± 185784.189op/s	255396245.276op/s ± 95374.600op/s	255495746.002op/s	255646499.639op/s	255756655.410op/s	256913486.621op/s	0.59%	2.455	20.595	0.07%	13136.926op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.767µs	70.321µs ± 0.331µs	70.279µs ± 0.225µs	70.529µs	70.924µs	71.337µs	71.489µs	1.72%	0.877	0.718	0.47%	0.023µs	1	200
credit_card/is_card_number/378282246310005	throughput	13988145.487op/s	14220838.060op/s ± 66758.364op/s	14229007.218op/s ± 45615.359op/s	14271723.790op/s	14305995.502op/s	14320665.825op/s	14333521.807op/s	0.73%	-0.850	0.640	0.47%	4720.529op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	53.062µs	53.130µs ± 0.031µs	53.129µs ± 0.019µs	53.148µs	53.181µs	53.228µs	53.236µs	0.20%	0.517	1.047	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18784131.960op/s	18821610.208op/s ± 10972.219op/s	18822060.671op/s ± 6708.120op/s	18828646.022op/s	18839032.464op/s	18845244.558op/s	18846049.414op/s	0.13%	-0.512	1.038	0.06%	775.853op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.429µs	6.439µs ± 0.004µs	6.439µs ± 0.003µs	6.442µs	6.446µs	6.449µs	6.449µs	0.16%	0.148	-0.567	0.06%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	155061067.519op/s	155303713.495op/s ± 97267.154op/s	155311635.460op/s ± 74667.238op/s	155379190.846op/s	155454813.367op/s	155490044.462op/s	155548346.458op/s	0.15%	-0.146	-0.568	0.06%	6877.826op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.897µs	3.916µs ± 0.003µs	3.916µs ± 0.002µs	3.918µs	3.921µs	3.923µs	3.931µs	0.39%	-0.284	5.769	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254389082.875op/s	255368552.748op/s ± 214016.015op/s	255393028.631op/s ± 131073.166op/s	255492360.793op/s	255659465.036op/s	255778199.720op/s	256584531.498op/s	0.47%	0.304	5.823	0.08%	15133.218op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.876µs	65.163µs ± 0.152µs	65.133µs ± 0.093µs	65.242µs	65.451µs	65.593µs	65.684µs	0.85%	0.861	0.487	0.23%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15224302.416op/s	15346205.727op/s ± 35780.055op/s	15353214.300op/s ± 21927.479op/s	15372998.482op/s	15391661.029op/s	15406972.034op/s	15414130.133op/s	0.40%	-0.849	0.459	0.23%	2530.032op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.588µs	58.958µs ± 0.206µs	58.929µs ± 0.131µs	59.080µs	59.336µs	59.550µs	59.762µs	1.41%	0.985	1.163	0.35%	0.015µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16733146.473op/s	16961527.521op/s ± 59100.734op/s	16969620.140op/s ± 37649.292op/s	17002526.152op/s	17041903.659op/s	17049866.941op/s	17068393.051op/s	0.58%	-0.962	1.092	0.35%	4179.053op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.898µs	3.915µs ± 0.003µs	3.915µs ± 0.001µs	3.917µs	3.920µs	3.923µs	3.928µs	0.33%	-0.036	7.473	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254590656.304op/s	255408849.533op/s ± 187115.612op/s	255433883.340op/s ± 92921.838op/s	255518432.794op/s	255617063.625op/s	255670264.762op/s	256532642.925op/s	0.43%	0.056	7.550	0.07%	13231.072op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	55.414µs	55.643µs ± 0.162µs	55.591µs ± 0.103µs	55.733µs	55.960µs	56.102µs	56.171µs	1.04%	0.923	0.361	0.29%	0.011µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17802824.814op/s	17971933.050op/s ± 52157.526op/s	17988446.924op/s ± 33298.116op/s	18014145.608op/s	18035135.149op/s	18041475.356op/s	18045979.351op/s	0.32%	-0.910	0.325	0.29%	3688.094op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	53.056µs	53.155µs ± 0.042µs	53.155µs ± 0.026µs	53.178µs	53.220µs	53.237µs	53.367µs	0.40%	1.059	3.982	0.08%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	18737998.758op/s	18813004.359op/s ± 14904.762op/s	18813018.948op/s ± 9029.951op/s	18823032.151op/s	18835307.219op/s	18841389.208op/s	18848109.270op/s	0.19%	-1.048	3.926	0.08%	1053.926op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.429µs	6.438µs ± 0.004µs	6.438µs ± 0.003µs	6.441µs	6.444µs	6.448µs	6.456µs	0.29%	0.505	1.662	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	154888341.852op/s	155328297.677op/s ± 96344.597op/s	155335737.605op/s ± 63286.160op/s	155385700.652op/s	155484796.753op/s	155534702.696op/s	155539565.652op/s	0.13%	-0.498	1.643	0.06%	6812.592op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255388369.440op/s; 255439647.708op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.803µs; 79.907µs] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12514798.068op/s; 12531161.548op/s] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.650µs; 73.766µs] or [-0.079%; +0.079%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13556765.454op/s; 13578223.168op/s] or [-0.079%; +0.079%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255380761.755op/s; 255432257.558op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[70.275µs; 70.367µs] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14211585.993op/s; 14230090.127op/s] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[53.126µs; 53.135µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[18820089.564op/s; 18823130.852op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.438µs; 6.440µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155290233.203op/s; 155317193.787op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.915µs; 3.916µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255338892.187op/s; 255398213.310op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.142µs; 65.184µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15341246.955op/s; 15351164.498op/s] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.929µs; 58.986µs] or [-0.048%; +0.048%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16953336.728op/s; 16969718.314op/s] or [-0.048%; +0.048%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255382917.109op/s; 255434781.958op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.620µs; 55.665µs] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17964704.519op/s; 17979161.582op/s] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[53.149µs; 53.161µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[18810938.702op/s; 18815070.015op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.437µs; 6.439µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155314945.243op/s; 155341650.112op/s] or [-0.009%; +0.009%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	49.101ms	49.689ms ± 1.240ms	49.524ms ± 0.150ms	49.714ms	49.808ms	52.798ms	64.108ms	29.45%	9.764	101.972	2.49%	0.088ms	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	[49.517ms; 49.861ms] or [-0.346%; +0.346%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	17.447µs	25.283µs ± 9.468µs	17.930µs ± 0.266µs	34.097µs	43.336µs	45.662µs	67.195µs	274.76%	0.910	0.393	37.36%	0.670µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[23.971µs; 26.596µs] or [-5.190%; +5.190%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	32.792µs	33.636µs ± 1.128µs	32.940µs ± 0.062µs	34.854µs	35.773µs	36.002µs	36.416µs	10.55%	1.039	-0.706	3.35%	0.080µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.480µs; 33.792µs] or [-0.465%; +0.465%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	185.482µs	185.963µs ± 0.229µs	185.939µs ± 0.149µs	186.092µs	186.378µs	186.473µs	186.691µs	0.40%	0.474	-0.178	0.12%	0.016µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5356435.999op/s	5377424.329op/s ± 6615.502op/s	5378117.998op/s ± 4305.672op/s	5382271.639op/s	5386687.250op/s	5390331.729op/s	5391372.537op/s	0.25%	-0.468	-0.186	0.12%	467.787op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.885µs	17.975µs ± 0.052µs	17.984µs ± 0.035µs	18.012µs	18.044µs	18.091µs	18.208µs	1.24%	0.388	1.132	0.29%	0.004µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54922054.528op/s	55631955.825op/s ± 159429.554op/s	55604904.260op/s ± 108195.665op/s	55750624.826op/s	55882475.866op/s	55894050.662op/s	55911304.937op/s	0.55%	-0.363	1.036	0.29%	11273.372op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.067µs	10.176µs ± 0.031µs	10.173µs ± 0.020µs	10.196µs	10.236µs	10.257µs	10.272µs	0.97%	0.309	0.597	0.31%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	97353389.115op/s	98266963.162op/s ± 303735.321op/s	98294736.046op/s ± 195858.374op/s	98473309.425op/s	98734685.094op/s	98851702.420op/s	99331618.609op/s	1.05%	-0.286	0.600	0.31%	21477.331op/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	[185.931µs; 185.995µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5376507.484op/s; 5378341.174op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.968µs; 17.983µs] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55609860.422op/s; 55654051.228op/s] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.172µs; 10.181µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[98224868.368op/s; 98309057.956op/s] or [-0.043%; +0.043%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	495.318µs	496.321µs ± 0.545µs	496.276µs ± 0.310µs	496.626µs	497.130µs	497.610µs	500.380µs	0.83%	2.248	14.255	0.11%	0.039µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1998479.601op/s	2014828.347op/s ± 2205.991op/s	2015008.004op/s ± 1257.659op/s	2016202.879op/s	2017735.595op/s	2018722.009op/s	2018906.612op/s	0.19%	-2.211	13.922	0.11%	155.987op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.590µs	371.365µs ± 0.303µs	371.359µs ± 0.187µs	371.561µs	371.876µs	372.070µs	372.101µs	0.20%	0.029	-0.062	0.08%	0.021µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2687441.132op/s	2692773.407op/s ± 2197.332op/s	`2692809`.239op/s ± 1355.399op/s	2694139.707op/s	2696787.216op/s	2697446.521op/s	2698397.316op/s	0.21%	-0.025	-0.063	0.08%	155.375op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.004µs	168.425µs ± 0.193µs	168.404µs ± 0.146µs	168.567µs	168.727µs	168.955µs	168.996µs	0.35%	0.372	-0.191	0.11%	0.014µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5917315.289op/s	5937359.161op/s ± 6808.134op/s	5938104.924op/s ± 5135.816op/s	5942561.823op/s	5947756.004op/s	5949153.800op/s	5952250.767op/s	0.24%	-0.366	-0.199	0.11%	481.408op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	38.269µs	38.378µs ± 0.043µs	38.380µs ± 0.029µs	38.408µs	38.445µs	38.483µs	38.491µs	0.29%	-0.028	-0.004	0.11%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	25980351.342op/s	26056314.530op/s ± 29389.036op/s	26055222.789op/s ± 19919.544op/s	26075669.474op/s	26107324.064op/s	26127361.413op/s	26131061.757op/s	0.29%	0.035	-0.005	0.11%	2078.119op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.186µs	46.291µs ± 0.066µs	46.280µs ± 0.042µs	46.321µs	46.429µs	46.447µs	46.552µs	0.59%	0.920	0.660	0.14%	0.005µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21481174.734op/s	21602437.391op/s ± 30558.727op/s	21607712.256op/s ± 19580.525op/s	21627187.539op/s	21640715.101op/s	21646747.451op/s	21651353.546op/s	0.20%	-0.912	0.636	0.14%	2160.828op/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	[496.245µs; 496.396µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2014522.618op/s; 2015134.076op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.323µs; 371.407µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2692468.878op/s; 2693077.937op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.398µs; 168.452µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5936415.620op/s; 5938302.703op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[38.372µs; 38.384µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26052241.493op/s; 26060387.568op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.282µs; 46.300µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21598202.245op/s; 21606672.536op/s] or [-0.020%; +0.020%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	84.218µs	84.433µs ± 0.141µs	84.416µs ± 0.053µs	84.476µs	84.580µs	84.688µs	86.027µs	1.91%	7.364	80.374	0.17%	0.010µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[84.414µs; 84.453µs] or [-0.023%; +0.023%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	2.411µs	2.428µs ± 0.019µs	2.422µs ± 0.005µs	2.428µs	2.481µs	2.498µs	2.501µs	3.28%	2.393	5.276	0.78%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.425µs; 2.431µs] or [-0.108%; +0.108%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	144.447µs	146.615µs ± 1.772µs	146.385µs ± 0.593µs	146.876µs	148.605µs	153.310µs	162.102µs	10.74%	4.758	32.534	1.21%	0.125µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[146.370µs; 146.861µs] or [-0.168%; +0.168%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	4.983µs	5.036µs ± 0.040µs	5.018µs ± 0.020µs	5.071µs	5.115µs	5.118µs	5.120µs	2.04%	0.746	-0.758	0.80%	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	[5.030µs; 5.042µs] or [-0.111%; +0.111%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

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	13.015ms	13.055ms ± 0.015ms	13.053ms ± 0.010ms	13.064ms	13.077ms	13.095ms	13.139ms	0.66%	1.017	3.995	0.12%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[13.053ms; 13.057ms] or [-0.016%; +0.016%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`342ce1d`	1774012923	ekump/APMSP-2718-update-aws-lc

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
receiver_entry_point/report/2598	execution_time	3.563ms	3.605ms ± 0.025ms	3.597ms ± 0.011ms	3.615ms	3.662ms	3.681ms	3.693ms	2.69%	1.345	1.322	0.70%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2598	execution_time	[3.601ms; 3.608ms] or [-0.098%; +0.098%]	None	None	None

Baseline

Omitted due to size.

codecov-commenter · 2026-03-17T20:02:10Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.25%. Comparing base (d88e70e) to head (342ce1d).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1751      +/-   ##
==========================================
- Coverage   71.28%   71.25%   -0.03%     
==========================================
  Files         431      431              
  Lines       64585    64554      -31     
==========================================
- Hits        46038    46001      -37     
- Misses      18547    18553       +6

Components	Coverage Δ
libdd-crashtracker	`64.99% <ø> (+0.06%)`	⬆️
libdd-crashtracker-ffi	`35.36% <ø> (+0.50%)`	⬆️
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.77% <ø> (-0.22%)`	⬇️
libdd-data-pipeline-ffi	`74.73% <ø> (-0.47%)`	⬇️
libdd-common	`79.78% <100.00%> (-0.10%)`	⬇️
libdd-common-ffi	`73.87% <ø> (ø)`
libdd-telemetry	`62.48% <ø> (ø)`
libdd-telemetry-ffi	`16.75% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`80.29% <ø> (ø)`
libdd-profiling	`81.60% <ø> (-0.02%)`	⬇️
libdd-profiling-ffi	`64.94% <ø> (ø)`
datadog-sidecar	`31.30% <ø> (-0.31%)`	⬇️
datdog-sidecar-ffi	`7.36% <ø> (-1.36%)`	⬇️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`91.80% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`89.08% <ø> (+0.02%)`	⬆️
datadog-tracer-flare	`90.46% <ø> (+3.58%)`	⬆️
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.

github-actions · 2026-03-17T20:14:30Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/ekump/APMSP-2718-update-aws-lc

Summary by Rule

Rule	Base Branch	PR Branch	Change

Annotation Counts by File

File	Base Branch	PR Branch	Change

Annotation Stats by Crate

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

About This Report

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

…ity issues # Conflicts: # Cargo.lock

datadog-prod-us1-6 · 2026-03-20T13:36:47Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.26% (-0.02%)

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: 342ce1d | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

dd-octo-sts · 2026-03-20T13:57:57Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	100.37 MB	101.43 MB	+1.05% (+1.05 MB) ⚠️
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	117.04 MB	118.18 MB	+.96% (+1.13 MB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.28 MB	11.29 MB	+.02% (+2.91 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.18 MB	27.23 MB	+.16% (+46.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	77.50 KB	80.34 KB	+3.66% (+2.83 KB) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.53 MB	186.41 MB	--.06% (-128.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.79 MB	918.58 MB	+.08% (+799.28 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.94 MB	8.99 MB	--9.57% (-974.50 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	77.50 KB	80.34 KB	+3.66% (+2.83 KB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.78 MB	26.83 MB	+8.28% (+2.05 MB) 🚨
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.47 MB	60.81 MB	+18.15% (+9.34 MB) 🚨

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	23.05 MB	+.33% (+79.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	78.71 KB	81.59 KB	+3.65% (+2.88 KB) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.30 MB	190.46 MB	+.08% (+160.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.94 MB	902.28 MB	+.14% (+1.34 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.54 MB	6.85 MB	--9.06% (-700.00 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	78.71 KB	81.59 KB	+3.65% (+2.88 KB) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	28.94 MB	+9.10% (+2.41 MB) 🚨
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.09 MB	57.19 MB	+21.43% (+10.09 MB) 🚨

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.59 MB	88.27 MB	+.77% (+699.27 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.22 MB	10.27 MB	+.49% (+52.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	109.92 MB	110.93 MB	+.92% (+1.01 MB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.97 MB	12.02 MB	+.44% (+54.15 KB) 🔍

ekump · 2026-03-20T18:04:53Z

/merge

gh-worker-devflow-routing-ef8351 · 2026-03-20T18:04:58Z

View all feedbacks in Devflow UI.

2026-03-20 18:04:57 UTC ℹ️ Start processing command /merge

2026-03-20 18:05:02 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 45m (p90).

2026-03-20 18:36:39 UTC ℹ️ MergeQueue: This merge request was merged

…-unprocessed * 'main' of github.com:DataDog/libdatadog: chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) chore(crashtracking): add integration test for errno preservation (#1768) chore(crashtracking): preserve errno for crashtracker (#1767) chore(examples): add compilation flags to prevent logic errors (#1766) feat(agents)!: retrieve container tags hash from /info endpoint (#1700) fix(ci): handle new crate addition in semver-check (#1769) fix(obfuscation/redis): fuzzer fixes [APMSP-2670] (#1694) fix(obfuscation/http)!: fuzzer fixes [APMSP-2670] (#1684) ci: add Datadog code coverage upload (#1718)

# Release proposal for libdd-common and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.1` **Semver bump:** `patch` **Tag:** `libdd-common-v3.0.1` ### Commits - chore(build): update reqwest and quinn-proto dependency for dependabot alert (#1774) - chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: iunanua <[email protected]>

This PR contains version bumps based on public API changes and commits since last release. **Next version:** `3.0.1` **Semver bump:** `patch` **Tag:** `libdd-common-v3.0.1` - chore(build): update reqwest and quinn-proto dependency for dependabot alert (#1774) - chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: iunanua <[email protected]>

# Release proposal for libdd-data-pipeline and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.1` **Semver bump:** `patch` **Tag:** `libdd-common-v3.0.1` ### Commits - chore(build): update reqwest and quinn-proto dependency for dependabot alert (#1774) - chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) ## libdd-trace-protobuf **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-protobuf-v3.0.0` ### Commits - fix(trace-stats): rename wrongly cased stats fields (#1780) - feat(rc)!: add process_tags to remote config Target (#1586) ## libdd-telemetry **Next version:** `3.1.0` **Semver bump:** `minor` **Tag:** `libdd-telemetry-v3.1.0` ### Commits - refactor(sidecar)!: Refactor tarpc away (#1742) ## libdd-trace-utils **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v3.0.0` ### Commits - fix(trace-stats): rename wrongly cased stats fields (#1780) - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) ## libdd-data-pipeline **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v3.0.0` ### Commits - feat(agents)!: retrieve container tags hash from /info endpoint (#1700) - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

ekump requested review from a team as code owners March 17, 2026 17:32

gyuheon0h approved these changes Mar 17, 2026

View reviewed changes

github-actions bot added the common label Mar 17, 2026

duncanista approved these changes Mar 19, 2026

View reviewed changes

ekump requested a review from a team as a code owner March 19, 2026 23:29

ekump force-pushed the ekump/APMSP-2718-update-aws-lc branch from de703d4 to f81e5de Compare March 20, 2026 00:04

ekump changed the title ~~chore(build): ekump/APMSP-2718 update aws lc~~ chore(build): ekump/APMSP-2718 update aws-lc dependencies Mar 20, 2026

ekump added 4 commits March 20, 2026 09:22

update aws-lc-sys, aws-lc-fips-sys, aws-lc-rs due to dependabot secur…

5026394

…ity issues # Conflicts: # Cargo.lock

update license file

63470c6

remove outbound http requests in unit tests

81a0eee

update cargo.lock

342ce1d

ekump force-pushed the ekump/APMSP-2718-update-aws-lc branch from f81e5de to 342ce1d Compare March 20, 2026 13:22

gh-worker-dd-devflow-36fce6 bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: queued labels Mar 20, 2026

gh-worker-dd-mergequeue-cf854d bot merged commit 5d5a596 into main Mar 20, 2026
85 checks passed

gh-worker-dd-devflow-36fce6 bot removed the mergequeue-status: in_progress label Mar 20, 2026

gh-worker-dd-mergequeue-cf854d bot deleted the ekump/APMSP-2718-update-aws-lc branch March 20, 2026 18:36

gh-worker-dd-devflow-36fce6 bot added the mergequeue-status: done label Mar 20, 2026

dd-octo-sts bot mentioned this pull request Mar 23, 2026

chore(release): proposal for libdd-common #1777

Merged

This was referenced Mar 23, 2026

chore(release): proposal for libdd-telemetry #1779

Closed

chore(release): proposal for libdd-data-pipeline #1781

Merged

This was referenced Mar 25, 2026

chore(release): proposal for libdd-common #1794

Closed

chore(release): proposal for libdd-telemetry #1795

Closed

chore(release): proposal for libdd-telemetry #1797

Closed

chore(release): proposal for libdd-telemetry #1818

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ekump commented Mar 17, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

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More details about the CI and significant changes

scenario:credit_card/is_card_number/ 3782-8224-6310-005

scenario:credit_card/is_card_number/ 378282246310005

scenario:credit_card/is_card_number/378282246310005

scenario:credit_card/is_card_number/37828224631000521389798

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

scenario:credit_card/is_card_number_no_luhn/378282246310005

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

scenario:profile_add_sample2_frames_x1000

scenario:receiver_entry_point/report/2598

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Codecov Report

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Clippy Allow Annotation Report

Summary by Rule

Annotation Counts by File

Annotation Stats by Crate

About This Report

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dd-octo-sts bot commented Mar 20, 2026

Artifact Size Benchmark Report

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ekump commented Mar 20, 2026

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