Reuse connections

[hoolioh]

What does this PR do?

This PR modifies send_data module and send_with_retry function so they can accept an HttpClient. This leads to some benefits:

• Since the http client (based on hyper) maintain a pool of connections they can be reused allowing to avoid unnecessary TCP handshakes with the agent.
• Avoid constantly recreating the client in the send functions.
• Allow to the caller to handle the connection pool and the proxy configuration.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-10-06 08:48:37

Comparing candidate commit 386bc6b in PR branch julio/reuse-connections with baseline commit cbbd077 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 53 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	386bc6b	1759739725	julio/reuse-connections

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	2.361µs	2.393µs ± 0.016µs	2.393µs ± 0.010µs	2.402µs	2.421µs	2.438µs	2.442µs	2.06%	0.607	0.452	0.65%	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	[2.391µs; 2.395µs] or [-0.090%; +0.090%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	63.027ms	63.492ms ± 1.466ms	63.278ms ± 0.085ms	63.364ms	63.605ms	72.163ms	77.219ms	22.03%	7.929	64.311	2.30%	0.104ms	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	[63.289ms; 63.695ms] or [-0.320%; +0.320%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	535.515µs	538.182µs ± 2.225µs	537.831µs ± 1.412µs	539.041µs	542.320µs	545.663µs	547.030µs	1.71%	1.328	1.758	0.41%	0.157µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1828054.092op/s	1858139.800op/s ± 7641.899op/s	1859320.019op/s ± 4893.927op/s	1864400.967op/s	1866120.774op/s	1867254.273op/s	1867360.299op/s	0.43%	-1.303	1.661	0.41%	540.364op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	382.248µs	383.607µs ± 0.757µs	383.722µs ± 0.489µs	384.114µs	384.554µs	384.929µs	388.771µs	1.32%	1.432	9.235	0.20%	0.054µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2572210.044op/s	2606847.478op/s ± 5128.690op/s	2606055.261op/s ± 3321.800op/s	2611198.826op/s	2614254.814op/s	2615683.645op/s	2616104.718op/s	0.39%	-1.379	8.806	0.20%	362.653op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	190.145µs	190.837µs ± 0.403µs	190.730µs ± 0.330µs	191.217µs	191.487µs	191.638µs	191.757µs	0.54%	0.294	-1.184	0.21%	0.028µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5214920.932op/s	5240109.232op/s ± 11057.591op/s	5243021.795op/s ± 9078.339op/s	5249295.259op/s	5254844.638op/s	5257363.472op/s	5259137.245op/s	0.31%	-0.289	-1.187	0.21%	781.890op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.586µs	36.820µs ± 0.161µs	36.783µs ± 0.080µs	36.916µs	37.011µs	37.065µs	38.409µs	4.42%	4.916	45.260	0.44%	0.011µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26035741.064op/s	27159486.459op/s ± 116405.159op/s	27186692.883op/s ± 59137.957op/s	27236332.585op/s	27274736.649op/s	27297125.484op/s	27332532.442op/s	0.54%	-4.624	41.417	0.43%	8231.088op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.062µs	46.763µs ± 0.142µs	46.781µs ± 0.092µs	46.859µs	46.959µs	47.097µs	47.306µs	1.12%	-0.418	2.865	0.30%	0.010µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21138957.643op/s	21384702.010op/s ± 65002.763op/s	21376237.818op/s ± 42267.714op/s	21425446.885op/s	21478556.634op/s	21534962.759op/s	21709811.701op/s	1.56%	0.461	2.969	0.30%	4596.389op/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	[537.873µs; 538.490µs] or [-0.057%; +0.057%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1857080.707op/s; 1859198.894op/s] or [-0.057%; +0.057%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[383.502µs; 383.711µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2606136.690op/s; 2607558.265op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.781µs; 190.892µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5238576.756op/s; 5241641.708op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.798µs; 36.843µs] or [-0.061%; +0.061%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27143353.823op/s; 27175619.094op/s] or [-0.059%; +0.059%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.743µs; 46.783µs] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21375693.253op/s; 21393710.768op/s] or [-0.042%; +0.042%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	244.684ns	257.017ns ± 14.773ns	250.525ns ± 4.579ns	266.523ns	286.806ns	300.368ns	300.677ns	20.02%	1.401	0.950	5.73%	1.045ns	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	[254.969ns; 259.064ns] or [-0.797%; +0.797%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	15.007ms	15.061ms ± 0.032ms	15.057ms ± 0.012ms	15.070ms	15.097ms	15.172ms	15.319ms	1.74%	4.134	26.262	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	[15.057ms; 15.066ms] or [-0.030%; +0.030%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	10.757ms	10.787ms ± 0.017ms	10.785ms ± 0.011ms	10.797ms	10.814ms	10.834ms	10.872ms	0.81%	1.107	2.932	0.15%	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	[10.785ms; 10.789ms] or [-0.021%; +0.021%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	1.179µs	3.225µs ± 1.411µs	3.013µs ± 0.025µs	3.036µs	3.693µs	13.896µs	14.874µs	393.65%	7.288	54.571	43.65%	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	[3.029µs; 3.420µs] or [-6.065%; +6.065%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	5.012µs	5.078µs ± 0.046µs	5.060µs ± 0.023µs	5.122µs	5.160µs	5.161µs	5.168µs	2.13%	0.605	-1.170	0.90%	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	[5.072µs; 5.084µs] or [-0.125%; +0.125%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	34.549µs	35.100µs ± 0.860µs	34.719µs ± 0.060µs	34.812µs	36.872µs	36.933µs	39.069µs	12.53%	1.880	2.356	2.44%	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	[34.981µs; 35.219µs] or [-0.340%; +0.340%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	3.901µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.916µs	3.918µs	3.921µs	3.925µs	0.26%	-0.187	4.165	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254801970.003op/s	255457639.292op/s ± 170388.551op/s	255455512.423op/s ± 108549.025op/s	255568447.623op/s	255694007.863op/s	255748949.625op/s	256370891.920op/s	0.36%	0.199	4.202	0.07%	12048.290op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.355µs	78.387µs ± 0.768µs	78.381µs ± 0.566µs	78.935µs	79.631µs	79.881µs	79.969µs	2.03%	-0.043	-0.618	0.98%	0.054µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12504804.092op/s	12758477.072op/s ± 125005.448op/s	12758234.126op/s ± 91487.632op/s	12851847.904op/s	12950158.744op/s	13017741.932op/s	13096792.974op/s	2.65%	0.084	-0.601	0.98%	8839.220op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.727µs	72.220µs ± 0.774µs	72.109µs ± 0.465µs	72.637µs	73.736µs	74.147µs	74.380µs	3.15%	0.601	-0.133	1.07%	0.055µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13444450.914op/s	13848075.789op/s ± 147481.440op/s	13867946.349op/s ± 89409.977op/s	13951688.923op/s	14053697.426op/s	14127617.556op/s	14138896.450op/s	1.95%	-0.553	-0.191	1.06%	10428.513op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.915µs ± 0.003µs	3.914µs ± 0.002µs	3.916µs	3.920µs	3.921µs	3.923µs	0.23%	-1.844	12.463	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254908917.203op/s	255454335.555op/s ± 215366.479op/s	255484696.488op/s ± 106479.406op/s	255568479.574op/s	255687925.519op/s	255754562.170op/s	256801753.770op/s	0.52%	1.872	12.648	0.08%	15228.710op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	67.240µs	68.822µs ± 0.755µs	68.791µs ± 0.499µs	69.280µs	70.126µs	70.660µs	70.700µs	2.78%	0.233	-0.301	1.09%	0.053µs	1	200
credit_card/is_card_number/378282246310005	throughput	14144246.905op/s	14532027.266op/s ± 159007.836op/s	14536753.552op/s ± 105457.473op/s	14643666.684op/s	14795662.658op/s	14844356.985op/s	14872124.179op/s	2.31%	-0.179	-0.334	1.09%	11243.552op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.782µs	52.949µs ± 0.069µs	52.944µs ± 0.047µs	53.002µs	53.050µs	53.101µs	53.217µs	0.52%	0.188	0.237	0.13%	0.005µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18790967.291op/s	18885987.305op/s ± 24677.363op/s	18887820.189op/s ± 16857.755op/s	18902674.256op/s	18926585.323op/s	18939003.970op/s	18945921.124op/s	0.31%	-0.179	0.222	0.13%	1744.953op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.427µs	6.436µs ± 0.004µs	6.435µs ± 0.002µs	6.438µs	6.444µs	6.446µs	6.447µs	0.18%	0.410	-0.213	0.07%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	155103504.141op/s	155378808.571op/s ± 103587.653op/s	155389596.676op/s ± 59549.560op/s	155445296.763op/s	155539591.339op/s	155569436.747op/s	155586563.849op/s	0.13%	-0.407	-0.216	0.07%	7324.753op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.901µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.916µs	3.918µs	3.920µs	3.920µs	0.16%	-0.581	2.852	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255083983.531op/s	255484355.348op/s ± 166160.023op/s	255480225.834op/s ± 115991.947op/s	255603500.249op/s	255724501.819op/s	255767777.624op/s	256375007.902op/s	0.35%	0.590	2.896	0.06%	11749.288op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.897µs	65.108µs ± 0.141µs	65.057µs ± 0.050µs	65.143µs	65.397µs	65.596µs	65.648µs	0.91%	1.594	2.244	0.22%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15232774.600op/s	15359102.768op/s ± 33177.848op/s	15371090.821op/s ± 11880.154op/s	15379615.092op/s	15391684.651op/s	15398499.938op/s	15409142.244op/s	0.25%	-1.583	2.199	0.22%	2346.028op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.323µs	58.811µs ± 0.208µs	58.774µs ± 0.124µs	58.917µs	59.195µs	59.367µs	59.791µs	1.73%	0.940	1.948	0.35%	0.015µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16725010.218op/s	17003909.679op/s ± 59883.509op/s	17014351.461op/s ± 35850.463op/s	17044163.746op/s	17085291.018op/s	17125832.675op/s	17145880.662op/s	0.77%	-0.908	1.827	0.35%	4234.404op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.897µs	3.916µs ± 0.003µs	3.916µs ± 0.002µs	3.918µs	3.920µs	3.921µs	3.922µs	0.15%	-1.397	6.916	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254959333.238op/s	255372351.904op/s ± 188635.871op/s	255351538.617op/s ± 113437.307op/s	255479631.890op/s	255677683.206op/s	255761151.841op/s	256576080.080op/s	0.48%	1.412	7.029	0.07%	13338.570op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	55.314µs	55.650µs ± 0.199µs	55.574µs ± 0.084µs	55.765µs	56.032µs	56.248µs	56.504µs	1.67%	1.466	2.281	0.36%	0.014µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17697804.676op/s	17969578.111op/s ± 63925.469op/s	17993963.925op/s ± 27025.786op/s	18013452.897op/s	18033690.360op/s	18041229.942op/s	18078738.329op/s	0.47%	-1.444	2.175	0.35%	4520.213op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.668µs	52.913µs ± 0.059µs	52.921µs ± 0.038µs	52.954µs	53.009µs	53.038µs	53.067µs	0.28%	-0.498	1.095	0.11%	0.004µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	18843937.402op/s	18898982.084op/s ± 21159.319op/s	18896223.593op/s ± 13439.028op/s	18912997.958op/s	18933144.190op/s	18950165.798op/s	18987025.131op/s	0.48%	0.507	1.116	0.11%	1496.190op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.428µs	6.436µs ± 0.005µs	6.436µs ± 0.003µs	6.439µs	6.446µs	6.448µs	6.450µs	0.22%	0.773	0.232	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155033686.406op/s	155364156.011op/s ± 108761.793op/s	155379886.080op/s ± 70315.884op/s	155446035.351op/s	155514004.985op/s	155542692.694op/s	155569259.354op/s	0.12%	-0.770	0.226	0.07%	7690.620op/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	[3.914µs; 3.915µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255434025.077op/s; 255481253.506op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.280µs; 78.493µs] or [-0.136%; +0.136%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12741152.519op/s; 12775801.625op/s] or [-0.136%; +0.136%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.113µs; 72.328µs] or [-0.149%; +0.149%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13827636.280op/s; 13868515.299op/s] or [-0.148%; +0.148%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255424487.832op/s; 255484183.277op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.717µs; 68.926µs] or [-0.152%; +0.152%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14509990.310op/s; 14554064.223op/s] or [-0.152%; +0.152%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.940µs; 52.959µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[18882567.260op/s; 18889407.350op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.435µs; 6.436µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155364452.318op/s; 155393164.823op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.914µs; 3.914µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255461327.167op/s; 255507383.529op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.089µs; 65.128µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15354504.637op/s; 15363700.898op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.782µs; 58.840µs] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16995610.400op/s; 17012208.957op/s] or [-0.049%; +0.049%]	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	[255346208.786op/s; 255398495.021op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.623µs; 55.678µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17960718.656op/s; 17978437.566op/s] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.905µs; 52.921µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[18896049.606op/s; 18901914.562op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.436µs; 6.437µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155349082.673op/s; 155379229.350op/s] or [-0.010%; +0.010%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	17.853µs	26.413µs ± 10.210µs	18.192µs ± 0.259µs	35.652µs	42.887µs	50.184µs	71.732µs	294.29%	0.891	0.522	38.56%	0.722µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.998µs; 27.828µs] or [-5.357%; +5.357%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	204.461µs	205.227µs ± 0.511µs	205.182µs ± 0.277µs	205.417µs	205.919µs	207.459µs	208.307µs	1.52%	2.646	12.369	0.25%	0.036µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4800606.174op/s	4872672.767op/s ± 12042.679op/s	4873728.287op/s ± 6580.495op/s	4880582.533op/s	4885878.687op/s	4888893.041op/s	4890904.412op/s	0.35%	-2.592	11.965	0.25%	851.546op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.628µs	18.732µs ± 0.059µs	18.719µs ± 0.037µs	18.772µs	18.841µs	18.873µs	18.885µs	0.89%	0.576	-0.400	0.31%	0.004µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52951745.702op/s	53384515.375op/s ± 166490.162op/s	53420931.589op/s ± 105561.420op/s	53504566.216op/s	53624250.649op/s	53649831.567op/s	53681333.954op/s	0.49%	-0.564	-0.416	0.31%	11772.632op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.855µs	10.922µs ± 0.029µs	10.920µs ± 0.015µs	10.936µs	10.969µs	10.994µs	11.099µs	1.65%	1.363	6.365	0.27%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90094613.099op/s	91557752.034op/s ± 245747.615op/s	91576756.073op/s ± 129895.733op/s	91699770.757op/s	91945297.183op/s	92026160.877op/s	92120011.983op/s	0.59%	-1.311	6.053	0.27%	17376.981op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[205.157µs; 205.298µs] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4871003.767op/s; 4874341.766op/s] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.724µs; 18.740µs] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53361441.439op/s; 53407589.310op/s] or [-0.043%; +0.043%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.918µs; 10.926µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91523693.778op/s; 91591810.290op/s] or [-0.037%; +0.037%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	160.026µs	160.697µs ± 0.278µs	160.672µs ± 0.150µs	160.828µs	161.193µs	161.560µs	161.805µs	0.70%	0.640	1.487	0.17%	0.020µs	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	[160.658µs; 160.735µs] or [-0.024%; +0.024%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	88.716µs	88.984µs ± 0.160µs	88.959µs ± 0.052µs	89.029µs	89.128µs	89.218µs	90.871µs	2.15%	8.403	95.980	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	[88.962µs; 89.007µs] or [-0.025%; +0.025%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	386bc6b	1759739725	julio/reuse-connections

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	6.212ms	6.260ms ± 0.026ms	6.255ms ± 0.013ms	6.271ms	6.308ms	6.326ms	6.422ms	2.67%	1.830	6.659	0.42%	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	[6.257ms; 6.264ms] or [-0.058%; +0.058%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 91.04478% with 6 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.86%. Comparing base (a266728) to head (fa42381).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1249      +/-   ##
==========================================
+ Coverage   71.82%   71.86%   +0.03%     
==========================================
  Files         368      368              
  Lines       57975    58008      +33     
==========================================
+ Hits        41641    41685      +44     
+ Misses      16334    16323      -11     

Components	Coverage Δ
datadog-crashtracker	49.07% <ø> (+0.02%)	⬆️
datadog-crashtracker-ffi	5.86% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	87.86% <100.00%> (+0.03%)	⬆️
data-pipeline-ffi	88.19% <ø> (ø)
ddcommon	84.31% <ø> (ø)
ddcommon-ffi	73.84% <ø> (ø)
ddtelemetry	59.98% <ø> (-0.04%)	⬇️
ddtelemetry-ffi	21.24% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.39% <ø> (ø)
datadog-profiling	76.90% <ø> (ø)
datadog-profiling-ffi	62.12% <ø> (ø)
datadog-sidecar	37.24% <100.00%> (+0.28%)	⬆️
datdog-sidecar-ffi	13.71% <ø> (+1.33%)	⬆️
spawn-worker	55.18% <ø> (ø)
tinybytes	92.22% <ø> (ø)
datadog-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.17% <ø> (ø)
datadog-trace-protobuf	59.65% <ø> (ø)
datadog-trace-utils	90.00% <87.50%> (+0.15%)	⬆️
datadog-tracer-flare	61.03% <ø> (-1.39%)	⬇️
datadog-log	75.57% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[datadog-datadog-prod-us1]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: fa42381 | Docs | Was this helpful? Give us feedback!}

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.25 MB	7.25 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	71.35 MB	71.35 MB	+0% (+2.16 KB) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.20 MB	9.20 MB	+0% (+176 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	83.70 MB	83.70 MB	+0% (+3.58 KB) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.55 MB	18.55 MB	+0% (+512 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.77 KB	65.77 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	129.25 MB	129.24 MB	-0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	675.61 MB	677.95 MB	+.34% (+2.33 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.93 MB	5.93 MB	-0% (-512 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.77 KB	65.77 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	17.51 MB	17.51 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	32.46 MB	32.46 MB	+0% (+1.34 KB) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	15.81 MB	15.81 MB	+0% (+512 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.79 KB	66.79 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	131.44 MB	131.42 MB	--.01% (-16.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	664.14 MB	666.48 MB	+.35% (+2.33 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.54 MB	4.54 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.79 KB	66.79 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	18.66 MB	18.66 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	30.51 MB	30.52 MB	+0% (+1.31 KB) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	63.95 MB	63.95 MB	+0% (+1.18 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.56 MB	8.56 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	78.43 MB	78.42 MB	-0% (-992 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.91 MB	9.91 MB	+0% (+144 B) 👌

[bantonsson]

LGTM

Has this been cleared with Serverless?

[hoolioh]

/merge

[dd-devflow-routing-codex]

View all feedbacks in Devflow UI.

2025-10-23 15:17:01 UTC ℹ️ Start processing command /merge

---

2025-10-23 15:17:07 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 36m (p90).

---

2025-10-23 15:49:54 UTC ℹ️ MergeQueue: This merge request was merged

[lym953]

Hi! Yiming from Serverless team here. Could you advise on how to construct HTTP client using the new API? I'm trying to do it in DataDog/datadog-lambda-extension#917.