feat(runtime)!: add shared runtime

[VianneyRuhlmann]

What does this PR do?

Implementing the shared runtime

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
  The shared runtime runs the workers using the PausableWorker

Update to the Worker trait

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. Some extra hooks where introduced to allow porting the existing workers to this new lifecycle (e.g. initial_trigger, shutdown).

Expose ffi

The shared runtime FFI exposes an pointer to the SharedRuntime which is wrapped in an Arc. The pointer used by the users is pointing directly at the runtime and the Arc is only materialized when the pointer is dropped.

Porting the existing workers

The update to the worker trait needs to be applied to existing workers (stats exporter, info fetcher, telemetry)

Stats exporter

The stats exporter doesn't need the cancellation token anymore as the flushing of remaining stats is handled in the shutdown hook. The trace exporter can trigger the flush by stopping the worker with the handle

Info fetcher

The info fetcher uses the on_pause hook to release the reference to the IoStack. This used to be done by the TraceExporter stop_worker but is now handled directly in the worker.

Telemetry worker

The telemetry worker required some refactor to fit in the new Worker trait. The main issue is that the trigger needs to save the next action to be used in the run function. This could be done by passing the return value of trigger to run but I'm not sure this will be a common pattern in workers. If this turns out to be we can reconsider it.

Losing telemetry payloads on shutdown

Currently when the telemetry worker is shut down all actions sent before the stop action are processed. With this refactor it's no longer the cases as the shutdown hook bypasses the actions queued. This is deemed acceptable since there's currently no way to know if an action has been posted before or after the stop, this means any action is already at risk of being ignored.

Using the shared runtime in TraceExporter

This PR also integrates the shared runtime in the Trace Exporter. We can now pass a SharedRuntime to the TraceExporter and the workers will be spawned on it. Fork hooks from the TraceExporter are removed as this is now handled by the SharedRuntime. The TraceExporter also uses the shared runtime to block on async code.

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: 2026-03-30 14:12:25

Comparing candidate commit 41bff26 in PR branch vianney/implement-shared-runtime with baseline commit 8d2029d in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 61 metrics, 0 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 deserializing traces from msgpack to their internal representation

• 🟩 execution_time [-3.402ms; -2.935ms] or [-6.664%; -5.749%]

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	41bff26	1774878911	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_timestamped_x1000	execution_time	4.204ms	4.210ms ± 0.008ms	4.209ms ± 0.002ms	4.211ms	4.214ms	4.217ms	4.316ms	2.53%	11.789	153.034	0.19%	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	[4.209ms; 4.211ms] or [-0.026%; +0.026%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	727.073µs	728.931µs ± 0.647µs	728.933µs ± 0.401µs	729.323µs	729.973µs	730.519µs	730.690µs	0.24%	0.004	0.087	0.09%	0.046µs	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	[728.842µs; 729.021µs] or [-0.012%; +0.012%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	159.843µs	161.225µs ± 0.677µs	161.106µs ± 0.192µs	161.399µs	161.873µs	162.812µs	168.953µs	4.87%	7.786	84.050	0.42%	0.048µs	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	[161.131µs; 161.318µs] or [-0.058%; +0.058%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	4.914µs	5.015µs ± 0.057µs	5.027µs ± 0.038µs	5.048µs	5.120µs	5.130µs	5.132µs	2.08%	0.239	-0.770	1.13%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.007µs; 5.023µs] or [-0.157%; +0.157%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	47.477ms	47.879ms ± 1.145ms	47.733ms ± 0.116ms	47.854ms	47.994ms	54.793ms	58.806ms	23.20%	8.092	66.635	2.39%	0.081ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching deserializing traces from msgpack to their internal representation	execution_time	[47.720ms; 48.038ms] or [-0.331%; +0.331%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	3.408ms	3.441ms ± 0.017ms	3.437ms ± 0.010ms	3.453ms	3.477ms	3.488ms	3.497ms	1.75%	0.893	0.539	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	[3.439ms; 3.443ms] or [-0.069%; +0.069%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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_serialize_compressed_pprof_timestamped_x1000	execution_time	937.054µs	940.938µs ± 2.171µs	940.351µs ± 0.858µs	941.587µs	945.276µs	946.216µs	955.093µs	1.57%	2.112	8.375	0.23%	0.154µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000	execution_time	[940.637µs; 941.238µs] or [-0.032%; +0.032%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	14.740ms	14.805ms ± 0.027ms	14.805ms ± 0.016ms	14.820ms	14.842ms	14.862ms	14.983ms	1.20%	1.322	8.335	0.18%	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	[14.801ms; 14.808ms] or [-0.025%; +0.025%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	191.147ns	193.577ns ± 1.984ns	193.311ns ± 1.329ns	194.555ns	197.664ns	199.397ns	202.213ns	4.60%	1.318	2.192	1.02%	0.140ns	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	[193.302ns; 193.851ns] or [-0.142%; +0.142%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	15.176µs	15.670µs ± 0.253µs	15.645µs ± 0.121µs	15.768µs	16.025µs	16.193µs	17.447µs	11.51%	2.460	14.179	1.61%	0.018µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.635µs; 15.705µs] or [-0.224%; +0.224%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	5.424µs	5.501µs ± 0.039µs	5.495µs ± 0.028µs	5.525µs	5.570µs	5.588µs	5.596µs	1.82%	0.443	-0.561	0.70%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.495µs; 5.506µs] or [-0.097%; +0.097%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	4.239ms	4.244ms ± 0.003ms	4.244ms ± 0.002ms	4.246ms	4.249ms	4.252ms	4.262ms	0.42%	1.736	7.929	0.07%	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	[4.244ms; 4.245ms] or [-0.009%; +0.009%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	2.396µs	2.425µs ± 0.014µs	2.423µs ± 0.007µs	2.430µs	2.462µs	2.469µs	2.475µs	2.15%	1.374	2.516	0.59%	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	[2.423µs; 2.427µs] or [-0.082%; +0.082%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	534.762µs	535.664µs ± 0.515µs	535.588µs ± 0.341µs	535.982µs	536.649µs	537.068µs	537.265µs	0.31%	0.690	0.170	0.10%	0.036µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1861278.070op/s	1866842.714op/s ± 1794.397op/s	1867107.319op/s ± 1191.054op/s	1868217.426op/s	1869280.592op/s	1869776.583op/s	1869990.968op/s	0.15%	-0.685	0.160	0.10%	126.883op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.147µs	381.179µs ± 0.443µs	381.120µs ± 0.300µs	381.490µs	381.949µs	382.178µs	382.846µs	0.45%	0.582	0.467	0.12%	0.031µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2612016.617op/s	2623446.198op/s ± 3049.576op/s	2623848.352op/s ± 2064.471op/s	2625616.635op/s	2627902.725op/s	2629225.180op/s	2630563.442op/s	0.26%	-0.574	0.451	0.12%	215.638op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.511µs	195.034µs ± 0.269µs	194.973µs ± 0.141µs	195.171µs	195.515µs	195.767µs	196.574µs	0.82%	1.468	4.760	0.14%	0.019µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5087144.798op/s	5127324.840op/s ± 7048.755op/s	5128904.210op/s ± 3715.248op/s	5132035.628op/s	5135540.809op/s	5140270.404op/s	5141087.681op/s	0.24%	-1.449	4.641	0.14%	498.422op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.858µs	38.199µs ± 0.126µs	38.193µs ± 0.082µs	38.284µs	38.407µs	38.457µs	38.495µs	0.79%	-0.030	-0.118	0.33%	0.009µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	25977335.393op/s	26178650.133op/s ± 86042.854op/s	26183071.697op/s ± 56385.573op/s	26232652.634op/s	26329915.848op/s	26386833.191op/s	26414205.560op/s	0.88%	0.048	-0.108	0.33%	6084.149op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.807µs	45.942µs ± 0.127µs	45.918µs ± 0.040µs	45.973µs	46.091µs	46.217µs	47.365µs	3.15%	7.419	77.423	0.28%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21112816.108op/s	21766509.643op/s ± 58998.426op/s	21778004.985op/s ± 18899.345op/s	21794218.296op/s	21811773.882op/s	21819390.773op/s	21830613.022op/s	0.24%	-7.220	74.297	0.27%	4171.819op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[535.593µs; 535.736µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1866594.028op/s; 1867091.400op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.117µs; 381.240µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2623023.556op/s; 2623868.840op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[194.997µs; 195.071µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5126347.951op/s; 5128301.730op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[38.182µs; 38.217µs] or [-0.046%; +0.046%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26166725.421op/s; 26190574.845op/s] or [-0.046%; +0.046%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.925µs; 45.960µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21758333.029op/s; 21774686.258op/s] or [-0.038%; +0.038%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	290.176µs	290.881µs ± 0.613µs	290.784µs ± 0.174µs	290.994µs	291.487µs	292.381µs	297.941µs	2.46%	7.997	86.614	0.21%	0.043µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[290.796µs; 290.966µs] or [-0.029%; +0.029%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	185.767µs	186.275µs ± 0.293µs	186.282µs ± 0.204µs	186.439µs	186.795µs	187.059µs	187.252µs	0.52%	0.631	0.291	0.16%	0.021µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5340406.167op/s	5368411.768op/s ± 8446.583op/s	5368199.793op/s ± 5865.166op/s	5375063.354op/s	5380505.627op/s	5382796.786op/s	5383085.967op/s	0.28%	-0.622	0.272	0.16%	597.264op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.960µs	18.094µs ± 0.122µs	18.078µs ± 0.039µs	18.121µs	18.205µs	18.252µs	19.575µs	8.28%	8.959	105.540	0.67%	0.009µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51085743.772op/s	55270543.748op/s ± 353196.538op/s	55314387.923op/s ± 117967.265op/s	55428228.538op/s	55553775.106op/s	55666956.779op/s	55680824.413op/s	0.66%	-8.415	96.774	0.64%	24974.767op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.920µs	9.992µs ± 0.061µs	9.991µs ± 0.037µs	10.022µs	10.056µs	10.163µs	10.465µs	4.74%	3.237	20.415	0.61%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	95558608.322op/s	100086142.247op/s ± 599569.739op/s	100088236.898op/s ± 367230.346op/s	100610984.791op/s	100689724.616op/s	100737108.655op/s	100809355.108op/s	0.72%	-3.027	18.412	0.60%	42395.983op/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	[186.235µs; 186.316µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5367241.153op/s; 5369582.383op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.077µs; 18.111µs] or [-0.094%; +0.094%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55221594.105op/s; 55319493.392op/s] or [-0.089%; +0.089%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.983µs; 10.000µs] or [-0.085%; +0.085%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[100003047.648op/s; 100169236.847op/s] or [-0.083%; +0.083%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	3.902µs	3.917µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.924µs	3.927µs	3.928µs	0.29%	0.333	0.522	0.10%	0.000µs	1	200
credit_card/is_card_number/	throughput	254606823.363op/s	255322257.202op/s ± 260016.473op/s	255343198.906op/s ± 181097.971op/s	255513256.257op/s	255668656.625op/s	255745786.217op/s	256286855.033op/s	0.37%	-0.325	0.526	0.10%	18385.941op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.626µs	80.035µs ± 0.248µs	79.976µs ± 0.146µs	80.169µs	80.521µs	80.874µs	80.995µs	1.27%	1.171	1.460	0.31%	0.018µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12346366.131op/s	12494579.232op/s ± 38651.770op/s	12503730.653op/s ± 22888.808op/s	12523808.291op/s	12538259.427op/s	12552884.024op/s	12558734.510op/s	0.44%	-1.152	1.393	0.31%	2733.093op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	73.199µs	73.541µs ± 0.184µs	73.515µs ± 0.125µs	73.662µs	73.882µs	73.996µs	74.084µs	0.77%	0.435	-0.345	0.25%	0.013µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13498201.960op/s	13597879.492op/s ± 34003.070op/s	13602578.369op/s ± 23151.788op/s	13623445.951op/s	13647908.596op/s	13657748.582op/s	13661324.319op/s	0.43%	-0.424	-0.360	0.25%	2404.380op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.903µs	3.915µs ± 0.004µs	3.915µs ± 0.002µs	3.917µs	3.922µs	3.925µs	3.928µs	0.33%	0.482	0.555	0.09%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254598777.647op/s	255406561.208op/s ± 240588.824op/s	255442096.955op/s ± 147640.112op/s	255565222.917op/s	255739792.511op/s	255882422.322op/s	256186107.070op/s	0.29%	-0.475	0.551	0.09%	17012.199op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.599µs	70.013µs ± 0.252µs	69.990µs ± 0.154µs	70.143µs	70.481µs	70.731µs	70.786µs	1.14%	0.571	0.170	0.36%	0.018µs	1	200
credit_card/is_card_number/378282246310005	throughput	14127116.585op/s	14283214.388op/s ± 51261.597op/s	14287827.543op/s ± 31453.371op/s	14319473.410op/s	14361817.795op/s	14365962.150op/s	14367972.002op/s	0.56%	-0.552	0.134	0.36%	3624.742op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.235µs	52.390µs ± 0.054µs	52.391µs ± 0.034µs	52.423µs	52.473µs	52.518µs	52.542µs	0.29%	-0.054	0.201	0.10%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19032366.582op/s	19087582.599op/s ± 19735.934op/s	19087161.975op/s ± 12233.529op/s	19099999.523op/s	19120083.661op/s	19135167.439op/s	19144305.667op/s	0.30%	0.061	0.203	0.10%	1395.541op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.736µs	5.889µs ± 0.056µs	5.892µs ± 0.040µs	5.930µs	5.984µs	6.007µs	6.012µs	2.05%	-0.022	-0.297	0.95%	0.004µs	1	200
credit_card/is_card_number/x371413321323331	throughput	166326552.702op/s	169827572.838op/s ± 1620100.967op/s	169731842.608op/s ± 1161212.252op/s	171040157.024op/s	172237615.843op/s	173670855.100op/s	174349206.675op/s	2.72%	0.071	-0.272	0.95%	114558.438op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.901µs	3.916µs ± 0.004µs	3.915µs ± 0.003µs	3.919µs	3.923µs	3.926µs	3.929µs	0.34%	0.390	0.819	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254529407.614op/s	255334843.805op/s ± 249951.701op/s	255395466.731op/s ± 167114.661op/s	255522305.752op/s	255624436.984op/s	255712392.219op/s	256328550.173op/s	0.37%	-0.382	0.827	0.10%	17674.254op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.214µs	64.395µs ± 0.128µs	64.362µs ± 0.068µs	64.456µs	64.645µs	64.878µs	64.959µs	0.93%	1.642	3.568	0.20%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15394363.630op/s	15529260.932op/s ± 30748.875op/s	15537105.797op/s ± 16498.371op/s	15550476.016op/s	15563368.658op/s	15569416.575op/s	15572881.384op/s	0.23%	-1.625	3.489	0.20%	2174.274op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.408µs	57.567µs ± 0.094µs	57.549µs ± 0.054µs	57.617µs	57.747µs	57.859µs	57.941µs	0.68%	1.097	1.675	0.16%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17258896.440op/s	17371123.195op/s ± 28173.198op/s	17376630.173op/s ± 16405.599op/s	17391293.053op/s	17407191.013op/s	17413911.574op/s	17419178.516op/s	0.24%	-1.086	1.632	0.16%	1992.146op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.897µs	3.917µs ± 0.004µs	3.917µs ± 0.003µs	3.919µs	3.924µs	3.928µs	3.930µs	0.34%	0.091	2.334	0.11%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254445980.242op/s	255296706.276op/s ± 269136.895op/s	255322943.545op/s ± 175233.600op/s	255477569.388op/s	255611790.996op/s	255686098.845op/s	256599835.169op/s	0.50%	-0.078	2.373	0.11%	19030.852op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.623µs	54.805µs ± 0.153µs	54.768µs ± 0.066µs	54.851µs	55.087µs	55.413µs	55.636µs	1.58%	2.257	7.096	0.28%	0.011µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17974061.955op/s	18246680.417op/s ± 50732.599op/s	18258846.386op/s ± 22110.343op/s	18277455.216op/s	18298532.460op/s	18303182.101op/s	18307454.796op/s	0.27%	-2.224	6.882	0.28%	3587.336op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.172µs	52.341µs ± 0.083µs	52.346µs ± 0.059µs	52.395µs	52.491µs	52.534µs	52.556µs	0.40%	0.273	-0.515	0.16%	0.006µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19027215.756op/s	19105544.074op/s ± 30170.550op/s	19103715.365op/s ± 21599.328op/s	19130557.516op/s	19150925.181op/s	19156197.879op/s	19167350.335op/s	0.33%	-0.267	-0.523	0.16%	2133.380op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.763µs	5.894µs ± 0.050µs	5.895µs ± 0.036µs	5.932µs	5.977µs	6.004µs	6.006µs	1.88%	0.118	-0.392	0.84%	0.004µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	166501261.669op/s	169684652.098op/s ± 1434169.487op/s	169637985.342op/s ± 1023494.850op/s	170564176.354op/s	171898638.109op/s	172463813.011op/s	173533607.761op/s	2.30%	-0.078	-0.391	0.84%	101411.097op/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	[3.916µs; 3.917µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/	throughput	[255286221.420op/s; 255358292.985op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.001µs; 80.070µs] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12489222.469op/s; 12499935.996op/s] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.516µs; 73.567µs] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13593166.993op/s; 13602591.990op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255373217.911op/s; 255439904.506op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.978µs; 70.048µs] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14276110.024op/s; 14290318.752op/s] or [-0.050%; +0.050%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.383µs; 52.398µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19084847.389op/s; 19090317.810op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.881µs; 5.897µs] or [-0.132%; +0.132%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[169603042.426op/s; 170052103.251op/s] or [-0.132%; +0.132%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.916µs; 3.917µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255300202.904op/s; 255369484.707op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.377µs; 64.413µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15524999.433op/s; 15533522.430op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[57.554µs; 57.580µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17367218.661op/s; 17375027.729op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.916µs; 3.918µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255259406.491op/s; 255334006.061op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.784µs; 54.826µs] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18239649.367op/s; 18253711.467op/s] or [-0.039%; +0.039%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.329µs; 52.352µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19101362.726op/s; 19109725.422op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.887µs; 5.901µs] or [-0.117%; +0.117%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[169485890.000op/s; 169883414.196op/s] or [-0.117%; +0.117%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	14.871ms	14.918ms ± 0.025ms	14.915ms ± 0.013ms	14.928ms	14.962ms	15.011ms	15.031ms	0.78%	1.631	4.437	0.16%	0.002ms	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	[14.915ms; 14.922ms] or [-0.023%; +0.023%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	243.031ns	252.526ns ± 11.978ns	247.794ns ± 1.914ns	252.202ns	284.423ns	293.175ns	294.701ns	18.93%	2.181	3.755	4.73%	0.847ns	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	[250.866ns; 254.186ns] or [-0.657%; +0.657%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	35.319µs	35.772µs ± 0.679µs	35.459µs ± 0.098µs	35.684µs	37.141µs	37.251µs	39.148µs	10.40%	1.878	2.880	1.89%	0.048µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[35.678µs; 35.866µs] or [-0.263%; +0.263%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	41bff26	1774878911	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	145.236µs	147.125µs ± 1.917µs	146.889µs ± 0.510µs	147.352µs	148.715µs	156.077µs	165.577µs	12.72%	6.107	48.284	1.30%	0.136µs	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	[146.859µs; 147.390µs] or [-0.181%; +0.181%]	None	None	None

Baseline

Omitted due to size.

[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	21	21	No change (0%)
Total	21	21	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
libdd-common/src/lib.rs	3	3	No change (0%)
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	21	20	✅ -1 (-4.8%)
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	55	55	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	8	8	No change (0%)
libdd-trace-utils	15	15	No change (0%)
Total	196	195	✅ -1 (-0.5%)

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.