feat(runtime): add shared runtime

[VianneyRuhlmann]

What does this PR do?

This PR introduces a shared runtime to be used across common components it offers two main features:

• Provide access to a tokio runtime to call async code in blocking functions e.g. TraceExporter::send
• Spawn background workers on the runtime which can be paused and restarted on forks

This PR also refactors the Worker trait to make it execute a trigger-run loop. The worker can be paused between two calls to run but not within a run execution. This is the same tradeoff between fork-time impact and worker execution than the one in dd-trace-py.

Motivation

Be able to share a common tokio runtime across components and manage fork-safety in a single place.

Additional Notes

This PR is a breaking change especially for language which register "fork-safety" hooks as this should now be handled in the SharedRuntime.

How to test the change?

Describe here in detail how the change can be validated.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-11 13:12:57

Comparing candidate commit 72f61f6 in PR branch vianney/implement-shared-runtime with baseline commit b04809b in branch main.

Found 5 performance improvements and 13 performance regressions! Performance is the same for 40 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:benching serializing traces from their internal representation to msgpack

• 🟥 execution_time [+895.807µs; +907.320µs] or [+6.394%; +6.476%]

scenario:credit_card/is_card_number/ 378282246310005

• 🟥 execution_time [+5.437µs; +5.519µs] or [+8.007%; +8.128%]
• 🟥 throughput [-1106734.548op/s; -1091364.118op/s] or [-7.516%; -7.411%]

scenario:credit_card/is_card_number/378282246310005

• 🟥 execution_time [+5.499µs; +5.570µs] or [+8.501%; +8.611%]
• 🟥 throughput [-1225523.446op/s; -1211040.112op/s] or [-7.927%; -7.833%]

scenario:credit_card/is_card_number/37828224631000521389798

• 🟥 execution_time [+6.491µs; +6.521µs] or [+14.207%; +14.273%]
• 🟥 throughput [-2735435.873op/s; -2721353.569op/s] or [-12.498%; -12.433%]

scenario:credit_card/is_card_number/x371413321323331

• 🟩 execution_time [-771.122ns; -752.413ns] or [-11.633%; -11.351%]
• 🟩 throughput [+19337748.386op/s; +19878138.917op/s] or [+12.819%; +13.177%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

• 🟥 execution_time [+4.123µs; +4.158µs] or [+7.718%; +7.784%]
• 🟥 throughput [-1351739.054op/s; -1341119.632op/s] or [-7.221%; -7.164%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

• 🟥 execution_time [+4.545µs; +4.605µs] or [+9.051%; +9.170%]
• 🟥 throughput [-1672437.620op/s; -1652632.286op/s] or [-8.398%; -8.299%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

• 🟥 execution_time [+6.462µs; +6.492µs] or [+14.134%; +14.200%]
• 🟥 throughput [-2721562.468op/s; -2707413.444op/s] or [-12.442%; -12.377%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

• 🟩 execution_time [-779.695ns; -762.211ns] or [-11.760%; -11.496%]
• 🟩 throughput [+19611462.412op/s; +20117955.399op/s] or [+13.003%; +13.338%]

scenario:sql/obfuscate_sql_string

• 🟩 execution_time [-4.148µs; -4.087µs] or [-4.628%; -4.560%]

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	72f61f6	1773233726	vianney/implement-shared-runtime

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	245.915ns	255.009ns ± 11.509ns	249.739ns ± 2.870ns	257.722ns	282.757ns	284.319ns	285.576ns	14.35%	1.473	0.772	4.50%	0.814ns	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	[253.414ns; 256.604ns] or [-0.625%; +0.625%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	14.859ms	14.911ms ± 0.031ms	14.907ms ± 0.012ms	14.920ms	14.963ms	15.037ms	15.080ms	1.16%	2.426	8.324	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	[14.907ms; 14.916ms] 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	72f61f6	1773233726	vianney/implement-shared-runtime

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	190.385ns	192.889ns ± 2.038ns	192.549ns ± 1.451ns	194.051ns	196.920ns	199.119ns	199.578ns	3.65%	0.940	0.566	1.05%	0.144ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
single_flag_killswitch/rules-based	execution_time	[192.607ns; 193.171ns] or [-0.146%; +0.146%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	733.712µs	735.201µs ± 0.606µs	735.138µs ± 0.458µs	735.652µs	736.249µs	736.481µs	736.553µs	0.19%	0.124	-0.546	0.08%	0.043µs	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	[735.117µs; 735.285µs] or [-0.011%; +0.011%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	3.581ms	3.616ms ± 0.018ms	3.613ms ± 0.010ms	3.624ms	3.653ms	3.663ms	3.686ms	2.02%	1.001	1.138	0.50%	0.001ms	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	[3.613ms; 3.618ms] or [-0.069%; +0.069%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	4.130ms	4.137ms ± 0.007ms	4.136ms ± 0.002ms	4.138ms	4.142ms	4.150ms	4.219ms	2.01%	9.731	117.258	0.16%	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	[4.136ms; 4.138ms] or [-0.022%; +0.022%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	144.023µs	146.338µs ± 1.687µs	146.075µs ± 0.503µs	146.610µs	147.813µs	151.912µs	162.375µs	11.16%	5.958	47.783	1.15%	0.119µs	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	[146.104µs; 146.571µs] or [-0.160%; +0.160%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	5.008µs	5.089µs ± 0.043µs	5.083µs ± 0.029µs	5.114µs	5.162µs	5.166µs	5.167µs	1.65%	0.123	-0.868	0.84%	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	[5.083µs; 5.095µs] or [-0.116%; +0.116%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	162.063µs	162.756µs ± 0.392µs	162.680µs ± 0.126µs	162.840µs	163.311µs	163.820µs	166.614µs	2.42%	5.128	45.576	0.24%	0.028µs	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	[162.702µs; 162.811µs] or [-0.033%; +0.033%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	2.399µs	2.445µs ± 0.018µs	2.446µs ± 0.007µs	2.452µs	2.476µs	2.506µs	2.509µs	2.59%	0.533	2.017	0.73%	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	[2.442µs; 2.447µs] or [-0.102%; +0.102%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	49.756ms	50.033ms ± 1.060ms	49.882ms ± 0.035ms	49.923ms	50.068ms	55.637ms	59.784ms	19.85%	8.299	69.746	2.11%	0.075ms	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	[49.886ms; 50.180ms] or [-0.294%; +0.294%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	17.584µs	26.104µs ± 9.997µs	18.595µs ± 0.800µs	34.815µs	43.783µs	53.629µs	69.632µs	274.48%	1.102	1.293	38.20%	0.707µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.719µs; 27.490µs] or [-5.308%; +5.308%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	493.229µs	494.027µs ± 0.440µs	493.981µs ± 0.239µs	494.245µs	494.665µs	494.914µs	497.640µs	0.74%	2.918	21.313	0.09%	0.031µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2009484.095op/s	2024181.921op/s ± 1796.718op/s	2024371.066op/s ± 978.874op/s	2025346.594op/s	2026460.429op/s	2026994.013op/s	2027454.665op/s	0.15%	-2.879	20.902	0.09%	127.047op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.029µs	370.727µs ± 0.283µs	370.699µs ± 0.210µs	370.928µs	371.235µs	371.348µs	371.566µs	0.23%	0.328	-0.293	0.08%	0.020µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2691315.371op/s	2697407.614op/s ± 2057.268op/s	2697603.092op/s ± 1531.354op/s	2699040.919op/s	2700716.518op/s	2701349.904op/s	2702489.616op/s	0.18%	-0.324	-0.296	0.08%	145.471op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.242µs	167.608µs ± 0.240µs	167.584µs ± 0.096µs	167.684µs	167.820µs	167.942µs	169.733µs	1.28%	6.044	49.092	0.14%	0.017µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5891590.084op/s	5966299.442op/s ± 8463.279op/s	5967150.145op/s ± 3404.724op/s	5970292.864op/s	5973353.758op/s	5976774.004op/s	5979349.274op/s	0.20%	-5.982	48.398	0.14%	598.444op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.130µs	37.202µs ± 0.029µs	37.201µs ± 0.021µs	37.221µs	37.248µs	37.277µs	37.292µs	0.25%	0.283	0.083	0.08%	0.002µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26815313.942op/s	26880282.896op/s ± 20839.459op/s	26881257.107op/s ± 15059.942op/s	26896259.466op/s	26910440.006op/s	26929052.798op/s	26932630.085op/s	0.19%	-0.279	0.078	0.08%	1473.572op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.373µs	45.605µs ± 0.111µs	45.600µs ± 0.094µs	45.701µs	45.764µs	45.793µs	45.876µs	0.61%	-0.024	-0.872	0.24%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21797932.200op/s	21927498.619op/s ± 53413.831op/s	21929840.592op/s ± 45041.443op/s	21970648.803op/s	22011402.177op/s	22032228.740op/s	22039565.919op/s	0.50%	0.032	-0.873	0.24%	3776.928op/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	[493.966µs; 494.088µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2023932.913op/s; 2024430.928op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[370.687µs; 370.766µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2697122.497op/s; 2697692.732op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[167.575µs; 167.642µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5965126.513op/s; 5967472.371op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.198µs; 37.206µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26877394.748op/s; 26883171.045op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.590µs; 45.621µs] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21920095.975op/s; 21934901.262op/s] or [-0.034%; +0.034%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	3.911µs ± 0.002µs	3.911µs ± 0.001µs	3.912µs	3.914µs	3.915µs	3.916µs	0.12%	-2.789	22.688	0.06%	0.000µs	1	200
credit_card/is_card_number/	throughput	255378714.344op/s	255692522.139op/s ± 157913.384op/s	255686179.027op/s ± 81745.182op/s	255776799.318op/s	255897897.140op/s	255995958.745op/s	257014918.529op/s	0.52%	2.820	23.011	0.06%	11166.162op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.367µs	80.003µs ± 0.328µs	79.947µs ± 0.198µs	80.186µs	80.630µs	80.952µs	81.026µs	1.35%	0.741	0.386	0.41%	0.023µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12341693.103op/s	12499808.209op/s ± 51061.495op/s	12508360.590op/s ± 30992.290op/s	12533940.348op/s	12573229.319op/s	12581957.513op/s	12599711.598op/s	0.73%	-0.719	0.340	0.41%	3610.593op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.902µs	73.387µs ± 0.287µs	73.338µs ± 0.187µs	73.562µs	73.928µs	74.175µs	74.464µs	1.54%	0.921	0.824	0.39%	0.020µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13429384.473op/s	13626544.506op/s ± 53129.710op/s	13635559.034op/s ± 34910.721op/s	13666475.460op/s	13691563.401op/s	13710917.497op/s	13717090.123op/s	0.60%	-0.898	0.757	0.39%	3756.838op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.893µs	3.911µs ± 0.003µs	3.911µs ± 0.001µs	3.912µs	3.915µs	3.918µs	3.922µs	0.28%	-0.586	10.460	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254976021.086op/s	255677935.619op/s ± 174427.891op/s	255698542.520op/s ± 83165.760op/s	255775031.612op/s	255877575.216op/s	255929071.108op/s	256845660.067op/s	0.45%	0.611	10.593	0.07%	12333.914op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.730µs	70.217µs ± 0.253µs	70.196µs ± 0.177µs	70.382µs	70.705µs	70.838µs	70.940µs	1.06%	0.467	-0.181	0.36%	0.018µs	1	200
credit_card/is_card_number/378282246310005	throughput	14096329.188op/s	14241676.911op/s ± 51238.175op/s	14245886.292op/s ± 35841.755op/s	14279677.520op/s	14316621.457op/s	14336879.277op/s	14341062.765op/s	0.67%	-0.449	-0.200	0.36%	3623.086op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.121µs	52.194µs ± 0.039µs	52.188µs ± 0.026µs	52.218µs	52.258µs	52.319µs	52.339µs	0.29%	0.864	1.142	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19106340.718op/s	19159464.723op/s ± 14321.886op/s	19161416.572op/s ± 9419.871op/s	19169491.276op/s	19179182.724op/s	19183427.916op/s	19185998.059op/s	0.13%	-0.858	1.126	0.07%	1012.710op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.700µs	5.867µs ± 0.067µs	5.865µs ± 0.046µs	5.911µs	5.986µs	6.017µs	6.027µs	2.77%	0.089	-0.330	1.13%	0.005µs	1	200
credit_card/is_card_number/x371413321323331	throughput	165922710.025op/s	170463431.287op/s ± 1932935.667op/s	170511843.947op/s ± 1327983.603op/s	171807278.247op/s	173459522.716op/s	175278223.219op/s	175435578.315op/s	2.89%	-0.032	-0.323	1.13%	136679.192op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.892µs	3.912µs ± 0.003µs	3.911µs ± 0.001µs	3.913µs	3.916µs	3.920µs	3.927µs	0.39%	-0.347	10.542	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254679448.514op/s	255647751.731op/s ± 200910.978op/s	255661778.564op/s ± 92070.409op/s	255753701.884op/s	255895616.848op/s	255950764.743op/s	256957007.987op/s	0.51%	0.376	10.658	0.08%	14206.551op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.087µs	64.354µs ± 0.146µs	64.319µs ± 0.059µs	64.395µs	64.695µs	64.818µs	64.936µs	0.96%	1.662	2.720	0.23%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15399845.133op/s	15539096.150op/s ± 35230.409op/s	15547416.306op/s ± 14346.112op/s	15560979.677op/s	15576528.900op/s	15583025.398op/s	15603896.293op/s	0.36%	-1.649	2.673	0.23%	2491.166op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.368µs	57.562µs ± 0.123µs	57.541µs ± 0.071µs	57.618µs	57.779µs	57.890µs	58.187µs	1.12%	1.602	4.805	0.21%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17185891.292op/s	17372661.679op/s ± 37099.571op/s	17378856.885op/s ± 21288.329op/s	17398139.704op/s	17419587.804op/s	17428243.079op/s	17431231.538op/s	0.30%	-1.575	4.653	0.21%	2623.336op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.920µs	3.924µs	0.30%	-0.305	4.737	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254868466.142op/s	255631653.206op/s ± 200503.649op/s	255635196.478op/s ± 128424.805op/s	255773189.545op/s	255896168.727op/s	255959243.969op/s	256756243.836op/s	0.44%	0.320	4.796	0.08%	14177.749op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.382µs	54.791µs ± 0.212µs	54.739µs ± 0.104µs	54.877µs	55.207µs	55.467µs	55.574µs	1.52%	1.132	1.525	0.39%	0.015µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17994171.069op/s	18251385.120op/s ± 70289.480op/s	18268403.885op/s ± 34629.211op/s	18296273.964op/s	18336347.684op/s	18377051.255op/s	18388396.701op/s	0.66%	-1.106	1.450	0.38%	4970.217op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.122µs	52.193µs ± 0.035µs	52.190µs ± 0.026µs	52.217µs	52.245µs	52.297µs	52.306µs	0.22%	0.433	0.053	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19118364.583op/s	19159783.103op/s ± 12787.690op/s	19160657.423op/s ± 9616.162op/s	19170041.538op/s	19179035.588op/s	19183797.883op/s	19185637.632op/s	0.13%	-0.429	0.045	0.07%	904.226op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.721µs	5.859µs ± 0.062µs	5.861µs ± 0.036µs	5.900µs	5.965µs	5.994µs	6.004µs	2.45%	0.029	-0.524	1.06%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	166553873.442op/s	170692294.398op/s ± 1810679.255op/s	170628571.761op/s ± 1056451.852op/s	171675132.816op/s	173603964.137op/s	174589926.186op/s	174800938.515op/s	2.45%	0.018	-0.526	1.06%	128034.358op/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	[3.911µs; 3.911µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/	throughput	[255670636.863op/s; 255714407.416op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.957µs; 80.048µs] or [-0.057%; +0.057%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12492731.577op/s; 12506884.841op/s] or [-0.057%; +0.057%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.347µs; 73.427µs] or [-0.054%; +0.054%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13619181.239op/s; 13633907.773op/s] or [-0.054%; +0.054%]	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	[255653761.591op/s; 255702109.647op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[70.182µs; 70.252µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14234575.793op/s; 14248778.030op/s] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.188µs; 52.199µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19157479.847op/s; 19161449.599op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.858µs; 5.876µs] or [-0.157%; +0.157%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[170195544.994op/s; 170731317.580op/s] or [-0.157%; +0.157%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.911µs; 3.912µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255619907.402op/s; 255675596.060op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.334µs; 64.374µs] or [-0.032%; +0.032%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15534213.554op/s; 15543978.746op/s] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[57.545µs; 57.579µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17367520.035op/s; 17377803.323op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255603865.328op/s; 255659441.083op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.762µs; 54.821µs] or [-0.054%; +0.054%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18241643.674op/s; 18261126.566op/s] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.188µs; 52.198µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19158010.853op/s; 19161555.354op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.851µs; 5.868µs] or [-0.147%; +0.147%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[170441351.667op/s; 170943237.128op/s] or [-0.147%; +0.147%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	10.645ms	10.681ms ± 0.017ms	10.679ms ± 0.009ms	10.689ms	10.708ms	10.727ms	10.772ms	0.87%	1.504	5.806	0.16%	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	[10.679ms; 10.684ms] or [-0.022%; +0.022%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	205.907µs	206.679µs ± 0.470µs	206.587µs ± 0.311µs	206.959µs	207.564µs	208.015µs	208.236µs	0.80%	0.818	0.287	0.23%	0.033µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4802249.218op/s	4838447.370op/s ± 10985.810op/s	4840585.457op/s ± 7304.463op/s	4847180.041op/s	4851997.615op/s	4854394.653op/s	4856569.107op/s	0.33%	-0.807	0.258	0.23%	776.814op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.588µs	18.684µs ± 0.107µs	18.641µs ± 0.020µs	18.683µs	18.876µs	19.111µs	19.210µs	3.05%	2.439	6.361	0.57%	0.008µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52056519.263op/s	53523056.355op/s ± 301512.958op/s	53643837.218op/s ± 58274.034op/s	53681553.746op/s	53752497.129op/s	53787974.351op/s	53798173.871op/s	0.29%	-2.398	6.101	0.56%	21320.186op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.632µs	10.726µs ± 0.045µs	10.718µs ± 0.025µs	10.748µs	10.801µs	10.865µs	10.886µs	1.57%	0.797	1.173	0.42%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	91858658.275op/s	93236899.206op/s ± 388883.443op/s	93303314.886op/s ± 221746.812op/s	93460044.562op/s	93733503.968op/s	94024354.000op/s	94052574.671op/s	0.80%	-0.765	1.102	0.42%	27498.212op/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	[206.614µs; 206.744µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4836924.842op/s; 4839969.897op/s] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.669µs; 18.699µs] or [-0.079%; +0.079%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53481269.559op/s; 53564843.151op/s] or [-0.078%; +0.078%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.719µs; 10.732µs] or [-0.058%; +0.058%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[93183003.701op/s; 93290794.711op/s] or [-0.058%; +0.058%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	85.304µs	85.509µs ± 0.166µs	85.488µs ± 0.037µs	85.535µs	85.603µs	85.690µs	87.668µs	2.55%	11.151	142.798	0.19%	0.012µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[85.486µs; 85.532µs] or [-0.027%; +0.027%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	1.242µs	3.257µs ± 1.470µs	3.006µs ± 0.028µs	3.044µs	3.687µs	14.380µs	15.517µs	416.21%	7.289	54.686	45.01%	0.104µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.053µs; 3.460µs] or [-6.254%; +6.254%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	72f61f6	1773233726	vianney/implement-shared-runtime

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	32.996µs	33.734µs ± 1.225µs	33.174µs ± 0.100µs	33.305µs	36.378µs	36.412µs	36.685µs	10.58%	1.676	0.861	3.62%	0.087µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.564µs; 33.903µs] or [-0.503%; +0.503%]	None	None	None

Baseline

Omitted due to size.

[github-actions]

📚 Documentation Check Results

⚠️ 1445 documentation warning(s) found

📦 libdd-common - 168 warning(s)

📦 libdd-data-pipeline - 799 warning(s)

📦 libdd-telemetry - 478 warning(s)

---

Updated: 2026-03-11 12:57:10 UTC | Commit: 85e0696 | missing-docs job results

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/vianney/implement-shared-runtime

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	18	18	No change (0%)
Total	18	18	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
libdd-data-pipeline/src/stats_exporter.rs	1	1	No change (0%)
libdd-data-pipeline/src/telemetry/mod.rs	1	1	No change (0%)
libdd-data-pipeline/src/trace_exporter/mod.rs	2	2	No change (0%)
libdd-telemetry/src/worker/mod.rs	13	13	No change (0%)
libdd-telemetry/src/worker/store.rs	1	1	No change (0%)

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.

[github-actions]

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-common - ✅ No issues

📦 libdd-data-pipeline - 1 error(s)

Show output

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:293:1
    │
293 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0
              └── (dev) libdd-data-pipeline v2.0.0

advisories FAILED, bans ok, sources ok

📦 libdd-telemetry - ✅ No issues

---

Updated: 2026-03-11 12:59:51 UTC | Commit: 85e0696 | dependency-check job results

[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.
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[ekump]

Is returning a single-threaded runtime ok?

When would the underlying runtime not be available? In between the before_fork() and after_fork_* functions?

[VianneyRuhlmann]

If a component blocking function (e.g. TraceExporter::send) requires a tokio runtime while we are preparing for a fork, we want to allow the component to access one to avoid losing data (e.g. the trace payload) without restarting the full runtime which we would have to shutdown again. The components should use the runtime with block_on so a current thread runtime will behave in the same way as the multi-threaded one. Since the SharedRuntime doesn't hold a reference to this new runtime, it will be dropped when the blocking function returns guarantying no runtime is running across the fork.