fix(common): don't use reqwest http proxies

[morrisonlevi]

What does this PR do?

This calls .no_proxy() on the reqwest::Client::builder() to avoid calling the getenv for the proxy variables.

Motivation

This causes crashes. dd-trace-php v1.17.0 updated to use the reqwest based exporter in profiling, and we have 2 crashes so far due to this. Based on past crashes of this kind, we expect this would result in dozens of crashes per week (not particularly high volume, but still bad).

Additional Notes

Everything should stop automatically calling getenv. We should stop doing this too. Env access should be explicit.

How to test the change?

This is difficult to demonstrate but crash reports don't lie. We've also fixed crashes of this nature before.

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/levi/reqwest-no-proxy

Summary by Rule

Rule	Base Branch	PR Branch	Change
unwrap_used	3	3	No change (0%)
Total	3	3	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
libdd-common/src/lib.rs	3	3	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	20	20	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	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	195	195	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.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.10%. Comparing base (9e2b7b9) to head (2629741).

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #1810   +/-   ##
=======================================
  Coverage   71.10%   71.10%           
=======================================
  Files         411      411           
  Lines       65052    65053    +1     
=======================================
+ Hits        46256    46257    +1     
  Misses      18796    18796           

Components	Coverage Δ
libdd-crashtracker	65.30% <ø> (ø)
libdd-crashtracker-ffi	34.98% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	87.63% <ø> (ø)
libdd-data-pipeline-ffi	73.45% <ø> (ø)
libdd-common	79.79% <100.00%> (+<0.01%)	⬆️
libdd-common-ffi	73.87% <ø> (ø)
libdd-telemetry	62.48% <ø> (ø)
libdd-telemetry-ffi	16.75% <ø> (ø)
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	72.48% <ø> (-0.08%)	⬇️
libdd-profiling	81.62% <ø> (+0.01%)	⬆️
libdd-profiling-ffi	64.94% <ø> (ø)
datadog-sidecar	31.63% <ø> (ø)
datdog-sidecar-ffi	13.34% <ø> (ø)
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	87.37% <ø> (ø)
libdd-trace-protobuf	68.25% <ø> (ø)
libdd-trace-utils	88.95% <ø> (ø)
datadog-tracer-flare	86.88% <ø> (ø)
libdd-log	74.69% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

[datadog-datadog-prod-us1]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.11% (+0.00%)

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 2629741 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-26 20:56:27

Comparing candidate commit 2629741 in PR branch levi/reqwest-no-proxy with baseline commit 9e2b7b9 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 62 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 ----------------------------------'

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	2629741	1774557464	levi/reqwest-no-proxy

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	49.516ms	49.818ms ± 1.117ms	49.643ms ± 0.054ms	49.719ms	49.896ms	57.230ms	60.670ms	22.21%	8.104	66.641	2.24%	0.079ms	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	[49.663ms; 49.973ms] or [-0.311%; +0.311%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	13.798µs	14.090µs ± 0.195µs	13.996µs ± 0.080µs	14.245µs	14.404µs	14.600µs	15.043µs	7.49%	1.279	2.137	1.38%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[14.063µs; 14.117µs] or [-0.192%; +0.192%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
redis/obfuscate_redis_string	execution_time	33.811µs	34.394µs ± 0.936µs	33.983µs ± 0.082µs	34.083µs	36.379µs	36.438µs	37.798µs	11.23%	1.739	1.270	2.71%	0.066µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.264µs; 34.523µs] or [-0.377%; +0.377%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	243.722ns	254.644ns ± 12.259ns	248.833ns ± 3.943ns	259.003ns	282.029ns	289.917ns	293.832ns	18.08%	1.384	0.887	4.80%	0.867ns	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	[252.945ns; 256.343ns] or [-0.667%; +0.667%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching serializing traces from their internal representation to msgpack	execution_time	13.988ms	14.033ms ± 0.032ms	14.027ms ± 0.012ms	14.039ms	14.088ms	14.163ms	14.212ms	1.32%	2.705	9.253	0.23%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
benching serializing traces from their internal representation to msgpack	execution_time	[14.028ms; 14.037ms] or [-0.032%; +0.032%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	193.253ns	195.395ns ± 1.957ns	195.261ns ± 1.505ns	196.425ns	199.468ns	201.014ns	202.713ns	3.82%	1.124	1.046	1.00%	0.138ns	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	[195.124ns; 195.666ns] or [-0.139%; +0.139%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	3.401ms	3.426ms ± 0.017ms	3.422ms ± 0.008ms	3.431ms	3.450ms	3.499ms	3.515ms	2.71%	2.416	8.500	0.48%	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	[3.423ms; 3.428ms] or [-0.067%; +0.067%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	2.319µs	2.363µs ± 0.018µs	2.359µs ± 0.006µs	2.370µs	2.405µs	2.409µs	2.425µs	2.77%	0.955	1.196	0.76%	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	[2.361µs; 2.366µs] or [-0.106%; +0.106%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	495.255µs	496.235µs ± 0.606µs	496.158µs ± 0.229µs	496.382µs	496.849µs	498.438µs	500.383µs	0.85%	3.192	15.174	0.12%	0.043µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1998467.619op/s	2015178.739op/s ± 2452.205op/s	2015487.905op/s ± 930.468op/s	2016456.469op/s	2017697.053op/s	2018699.329op/s	2019160.940op/s	0.18%	-3.167	14.969	0.12%	173.397op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.891µs	371.570µs ± 0.370µs	371.565µs ± 0.231µs	371.797µs	372.085µs	372.406µs	374.224µs	0.72%	1.877	11.838	0.10%	0.026µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2672194.779op/s	2691283.050op/s ± 2677.364op/s	2691317.576op/s ± 1674.751op/s	2692972.796op/s	2695085.397op/s	2695919.333op/s	2696211.518op/s	0.18%	-1.846	11.576	0.10%	189.318op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.895µs	168.193µs ± 0.153µs	168.178µs ± 0.080µs	168.255µs	168.528µs	168.657µs	168.695µs	0.31%	0.957	1.183	0.09%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5927875.130op/s	5945555.409op/s ± 5404.846op/s	5946087.927op/s ± 2824.473op/s	5949003.345op/s	5953500.159op/s	5954507.274op/s	5956105.167op/s	0.17%	-0.951	1.170	0.09%	382.180op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.836µs	37.028µs ± 0.125µs	37.046µs ± 0.121µs	37.138µs	37.209µs	37.259µs	37.337µs	0.79%	0.081	-1.367	0.34%	0.009µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26782813.196op/s	27006835.245op/s ± 91174.571op/s	26993803.549op/s ± 87783.938op/s	27102297.420op/s	27127337.150op/s	27134777.700op/s	27147170.501op/s	0.57%	-0.075	-1.374	0.34%	6447.016op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.257µs	46.381µs ± 0.157µs	46.367µs ± 0.029µs	46.396µs	46.464µs	46.542µs	48.471µs	4.54%	11.911	156.063	0.34%	0.011µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20631002.540op/s	21560957.968op/s ± 70141.361op/s	21567112.797op/s ± 13652.974op/s	21580523.928op/s	21601505.426op/s	21615053.963op/s	21618264.225op/s	0.24%	-11.745	153.111	0.32%	4959.743op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[496.151µs; 496.319µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2014838.886op/s; 2015518.591op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.519µs; 371.622µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2690911.993op/s; 2691654.107op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.172µs; 168.214µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5944806.349op/s; 5946304.468op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.011µs; 37.045µs] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26994199.327op/s; 27019471.164op/s] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.359µs; 46.402µs] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21551237.050op/s; 21570678.886op/s] or [-0.045%; +0.045%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	4.255ms	4.268ms ± 0.005ms	4.269ms ± 0.003ms	4.271ms	4.276ms	4.280ms	4.282ms	0.32%	-0.088	0.106	0.12%	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	[4.268ms; 4.269ms] or [-0.016%; +0.016%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	287.177µs	288.071µs ± 0.784µs	287.996µs ± 0.365µs	288.365µs	288.826µs	290.153µs	296.444µs	2.93%	6.340	63.616	0.27%	0.055µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[287.962µs; 288.179µs] or [-0.038%; +0.038%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	921.653µs	924.130µs ± 1.554µs	923.862µs ± 0.708µs	924.685µs	926.503µs	928.910µs	935.812µs	1.29%	2.722	15.544	0.17%	0.110µs	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	[923.915µs; 924.346µs] or [-0.023%; +0.023%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	4.290ms	4.297ms ± 0.009ms	4.297ms ± 0.002ms	4.299ms	4.302ms	4.303ms	4.409ms	2.61%	11.334	144.781	0.20%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_timestamped_x1000	execution_time	[4.296ms; 4.299ms] or [-0.028%; +0.028%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	185.854µs	186.289µs ± 0.234µs	186.253µs ± 0.148µs	186.415µs	186.615µs	186.753µs	187.952µs	0.91%	2.038	11.548	0.13%	0.017µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5320505.240op/s	5368020.763op/s ± 6737.131op/s	5369051.125op/s ± 4268.302op/s	5372582.376op/s	5376585.454op/s	5378995.934op/s	5380576.951op/s	0.21%	-2.003	11.242	0.13%	476.387op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.778µs	17.866µs ± 0.033µs	17.870µs ± 0.020µs	17.887µs	17.916µs	17.930µs	17.958µs	0.49%	-0.404	0.336	0.18%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55685774.999op/s	55971416.655op/s ± 102904.846op/s	55960011.641op/s ± 61421.548op/s	56028633.931op/s	56177959.888op/s	56239411.844op/s	56249722.297op/s	0.52%	0.416	0.346	0.18%	7276.471op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.534µs	10.582µs ± 0.028µs	10.577µs ± 0.010µs	10.590µs	10.618µs	10.654µs	10.839µs	2.48%	4.375	35.593	0.26%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	92260343.194op/s	94503779.368op/s ± 246596.157op/s	94546609.316op/s ± 88552.273op/s	94626616.734op/s	94783191.075op/s	94908037.455op/s	94927742.597op/s	0.40%	-4.232	33.866	0.26%	17436.981op/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	[186.256µs; 186.321µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5367087.061op/s; 5368954.464op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.862µs; 17.871µs] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55957155.033op/s; 55985678.277op/s] or [-0.025%; +0.025%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.578µs; 10.586µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94469603.512op/s; 94537955.224op/s] or [-0.036%; +0.036%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	5.513µs	5.556µs ± 0.028µs	5.553µs ± 0.018µs	5.571µs	5.592µs	5.645µs	5.773µs	3.97%	2.661	16.408	0.51%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[5.552µs; 5.559µs] or [-0.071%; +0.071%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	14.730ms	14.764ms ± 0.017ms	14.760ms ± 0.008ms	14.772ms	14.786ms	14.820ms	14.875ms	0.78%	2.534	12.099	0.12%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[14.762ms; 14.766ms] or [-0.016%; +0.016%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	737.926µs	739.123µs ± 0.504µs	739.086µs ± 0.302µs	739.393µs	739.910µs	740.829µs	741.159µs	0.28%	0.899	2.318	0.07%	0.036µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[739.054µs; 739.193µs] or [-0.009%; +0.009%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	4.960µs	5.047µs ± 0.034µs	5.057µs ± 0.024µs	5.071µs	5.088µs	5.095µs	5.109µs	1.02%	-0.632	-0.644	0.67%	0.002µs	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	[5.042µs; 5.052µs] or [-0.093%; +0.093%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	144.530µs	146.567µs ± 1.671µs	146.252µs ± 0.557µs	146.841µs	148.608µs	153.988µs	161.256µs	10.26%	4.854	33.963	1.14%	0.118µs	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	[146.335µs; 146.798µs] or [-0.158%; +0.158%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	159.356µs	160.350µs ± 0.513µs	160.290µs ± 0.199µs	160.477µs	160.981µs	161.196µs	164.423µs	2.58%	4.888	35.649	0.32%	0.036µs	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	[160.279µs; 160.421µs] or [-0.044%; +0.044%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	2629741	1774557464	levi/reqwest-no-proxy

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	3.895µs	3.914µs ± 0.003µs	3.914µs ± 0.001µs	3.916µs	3.919µs	3.920µs	3.920µs	0.16%	-1.368	9.461	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255071810.951op/s	255473932.000op/s ± 186572.339op/s	255482192.900op/s ± 96052.382op/s	255567514.549op/s	255748001.430op/s	255830657.545op/s	256746297.879op/s	0.49%	1.389	9.619	0.07%	13192.657op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.277µs	79.945µs ± 0.126µs	79.951µs ± 0.065µs	80.014µs	80.110µs	80.166µs	80.431µs	0.60%	-1.266	6.890	0.16%	0.009µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12433072.328op/s	12508579.793op/s ± 19727.495op/s	12507655.976op/s ± 10097.351op/s	12517814.912op/s	12535646.380op/s	12587334.113op/s	12614026.798op/s	0.85%	1.301	7.020	0.16%	1394.945op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.824µs	67.949µs ± 0.071µs	67.940µs ± 0.038µs	67.980µs	68.052µs	68.148µs	68.444µs	0.74%	2.281	11.788	0.10%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14610393.617op/s	14716978.988op/s ± 15347.972op/s	14718834.459op/s ± 8260.918op/s	14726772.963op/s	14735814.331op/s	14739309.890op/s	14744143.288op/s	0.17%	-2.254	11.560	0.10%	1085.265op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.896µs	3.916µs ± 0.003µs	3.916µs ± 0.002µs	3.917µs	3.920µs	3.923µs	3.924µs	0.20%	-0.952	8.212	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254873902.259op/s	255392654.764op/s ± 193584.975op/s	255394943.302op/s ± 124403.397op/s	255525808.107op/s	255623448.245op/s	255730932.458op/s	256663429.660op/s	0.50%	0.973	8.352	0.08%	13688.525op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.793µs	64.904µs ± 0.055µs	64.894µs ± 0.028µs	64.927µs	65.035µs	65.070µs	65.071µs	0.27%	1.074	1.273	0.09%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15367787.848op/s	15407320.881op/s ± 13150.774op/s	15409674.651op/s ± 6679.296op/s	15415928.080op/s	15424549.812op/s	15430091.855op/s	15433749.089op/s	0.16%	-1.068	1.260	0.09%	929.900op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.418µs	45.651µs ± 0.078µs	45.659µs ± 0.055µs	45.707µs	45.776µs	45.808µs	45.841µs	0.40%	-0.189	-0.296	0.17%	0.006µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21814714.541op/s	21905304.247op/s ± 37355.060op/s	21901502.374op/s ± 26274.291op/s	21933658.907op/s	21967065.452op/s	21995715.850op/s	22017475.270op/s	0.53%	0.197	-0.290	0.17%	2641.402op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.821µs	6.836µs ± 0.004µs	6.836µs ± 0.002µs	6.838µs	6.844µs	6.846µs	6.849µs	0.19%	0.230	0.841	0.06%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	146004253.784op/s	146281264.095op/s ± 88904.179op/s	146285173.998op/s ± 47676.873op/s	146336957.400op/s	146414244.136op/s	146470404.259op/s	146600413.567op/s	0.22%	-0.225	0.842	0.06%	6286.475op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.898µs	3.914µs ± 0.003µs	3.914µs ± 0.001µs	3.915µs	3.918µs	3.922µs	3.924µs	0.26%	-0.442	7.730	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254813100.325op/s	255472306.863op/s ± 172249.640op/s	255477875.650op/s ± 83892.014op/s	255566185.253op/s	255702360.305op/s	255784062.272op/s	256541507.211op/s	0.42%	0.462	7.819	0.07%	12179.889op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.120µs	65.688µs ± 0.065µs	65.694µs ± 0.029µs	65.718µs	65.772µs	65.799µs	65.825µs	0.20%	-3.609	29.054	0.10%	0.005µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15191853.751op/s	15223380.002op/s ± 15026.130op/s	15222072.130op/s ± 6712.742op/s	15228906.516op/s	15242421.145op/s	15262864.548op/s	15356211.412op/s	0.88%	3.662	29.650	0.10%	1062.508op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.355µs	53.429µs ± 0.039µs	53.423µs ± 0.021µs	53.445µs	53.512µs	53.544µs	53.603µs	0.34%	1.282	2.207	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18655657.447op/s	18716546.038op/s ± 13693.892op/s	18718689.759op/s ± 7387.180op/s	18725963.159op/s	18733208.245op/s	18736876.951op/s	18742275.665op/s	0.13%	-1.276	2.185	0.07%	968.304op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.914µs ± 0.002µs	3.913µs ± 0.001µs	3.915µs	3.917µs	3.920µs	3.921µs	0.18%	-1.889	16.179	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255060989.026op/s	255516763.629op/s ± 161353.337op/s	255527954.758op/s ± 83811.489op/s	255603928.557op/s	255714010.900op/s	255857737.795op/s	256752773.809op/s	0.48%	1.917	16.409	0.06%	11409.404op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.137µs	50.221µs ± 0.030µs	50.222µs ± 0.019µs	50.241µs	50.269µs	50.284µs	50.291µs	0.14%	-0.171	-0.136	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19884374.352op/s	19912006.447op/s ± 11887.178op/s	19911777.881op/s ± 7701.523op/s	19919190.831op/s	19929450.456op/s	19941225.491op/s	19945343.774op/s	0.17%	0.174	-0.134	0.06%	840.550op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.434µs	45.653µs ± 0.071µs	45.651µs ± 0.053µs	45.704µs	45.776µs	45.808µs	45.820µs	0.37%	-0.052	-0.209	0.16%	0.005µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21824313.282op/s	21904314.605op/s ± 34187.583op/s	21905281.364op/s ± 25234.871op/s	21927508.826op/s	21960398.014op/s	21972020.001op/s	22010114.401op/s	0.48%	0.060	-0.204	0.16%	2417.427op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.827µs	6.839µs ± 0.005µs	6.839µs ± 0.004µs	6.842µs	6.848µs	6.852µs	6.854µs	0.22%	0.401	0.031	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	145898822.009op/s	146223873.123op/s ± 111289.662op/s	146223656.654op/s ± 77225.178op/s	146314543.666op/s	146385700.781op/s	146443876.864op/s	146484335.888op/s	0.18%	-0.396	0.026	0.08%	7869.367op/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 [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255448074.868op/s; 255499789.131op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.928µs; 79.963µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12505845.752op/s; 12511313.834op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.939µs; 67.959µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14714851.906op/s; 14719106.069op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255365825.748op/s; 255419483.779op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.897µs; 64.912µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15405498.310op/s; 15409143.451op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.640µs; 45.662µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21900127.195op/s; 21910481.299op/s] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.836µs; 6.837µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[146268942.830op/s; 146293585.359op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.914µs; 3.915µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255448434.719op/s; 255496179.006op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.680µs; 65.697µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15221297.525op/s; 15225462.479op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.423µs; 53.434µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18714648.196op/s; 18718443.879op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255494401.609op/s; 255539125.650op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.217µs; 50.225µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19910358.998op/s; 19913653.895op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.643µs; 45.663µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21899576.535op/s; 21909052.675op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.838µs; 6.840µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[146208449.446op/s; 146239296.800op/s] or [-0.011%; +0.011%]	None	None	None

Baseline

Omitted due to size.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.46 MB	101.47 MB	+0% (+7.25 KB) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.25 MB	118.26 MB	+0% (+8.43 KB) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.29 MB	11.29 MB	+0% (+216 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.27 MB	27.27 MB	+0% (+1.00 KB) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	80.34 KB	80.34 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.55 MB	186.55 MB	+0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	921.86 MB	921.86 MB	+0% (+118 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.00 MB	9.00 MB	+.01% (+1.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	80.34 KB	80.34 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	26.84 MB	26.84 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.01 MB	61.02 MB	+0% (+6.21 KB) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.08 MB	23.08 MB	+0% (+512 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	81.59 KB	81.59 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.79 MB	190.80 MB	+0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	905.48 MB	905.48 MB	+0% (+136 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.86 MB	6.86 MB	+.01% (+1.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	81.59 KB	81.59 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	28.94 MB	28.94 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.40 MB	57.40 MB	+0% (+5.47 KB) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.32 MB	88.33 MB	+0% (+6.56 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.28 MB	10.28 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	110.99 MB	111.00 MB	+0% (+9.33 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.02 MB	12.03 MB	+.03% (+4.16 KB) 🔍

[gleocadie]

LGTM