feat(stats): propagate service source from span meta to client stats payload

[amarziali]

What does this PR do?

Implements the client stats part of the Service Override Source Attribution RFC

• Extracts _dd.svc_src from span metadata and includes it in the ClientGroupedStats.service_source (srv_src) field of the stats payload
• Adds service_source to the aggregation key so spans with different service override origins are bucketed separately

Motivation

What inspired you to submit this pull request?

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/andrea.marziali/stat-service-source

Summary by Rule

Rule	Base Branch	PR Branch	Change

Annotation Counts by File

File	Base Branch	PR Branch	Change

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
clippy-annotation-reporter	5	5	No change (0%)
datadog-ffe-ffi	1	1	No change (0%)
datadog-ipc	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 71.12%. Comparing base (db9b9f4) to head (578796d).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1803      +/-   ##
==========================================
+ Coverage   71.01%   71.12%   +0.10%     
==========================================
  Files         411      411              
  Lines       64803    64989     +186     
==========================================
+ Hits        46023    46222     +199     
+ Misses      18780    18767      -13     

Components	Coverage Δ
libdd-crashtracker	65.26% <ø> (-0.04%)	⬇️
libdd-crashtracker-ffi	34.98% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	87.63% <100.00%> (+0.02%)	⬆️
libdd-data-pipeline-ffi	73.45% <ø> (ø)
libdd-common	79.78% <ø> (ø)
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	72.56% <ø> (ø)
libdd-profiling	81.60% <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)

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• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
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[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-03-26 09:43:55

Comparing candidate commit 578796d in PR branch andrea.marziali/stat-service-source with baseline commit b1d5bcf in branch main.

Found 1 performance improvements and 1 performance regressions! Performance is the same for 60 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:concentrator/add_spans_to_concentrator

• 🟥 execution_time [+1.466ms; +1.472ms] or [+11.026%; +11.069%]

scenario:single_flag_killswitch/rules-based

• 🟩 execution_time [-13.719ns; -9.279ns] or [-6.732%; -4.553%]

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	578796d	1774517213	andrea.marziali/stat-service-source

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	189.979ns	192.290ns ± 1.900ns	192.062ns ± 1.120ns	193.037ns	195.850ns	198.262ns	199.466ns	3.85%	1.101	1.332	0.99%	0.134ns	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	[192.026ns; 192.553ns] or [-0.137%; +0.137%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	13.965ms	14.017ms ± 0.037ms	14.011ms ± 0.014ms	14.025ms	14.066ms	14.133ms	14.331ms	2.28%	4.016	26.836	0.26%	0.003ms	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	[14.012ms; 14.022ms] or [-0.037%; +0.037%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	243.595ns	255.352ns ± 12.277ns	249.964ns ± 3.911ns	256.925ns	282.414ns	291.997ns	293.525ns	17.43%	1.595	1.557	4.80%	0.868ns	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	[253.651ns; 257.054ns] or [-0.666%; +0.666%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	740.956µs	742.049µs ± 0.539µs	742.047µs ± 0.365µs	742.367µs	742.943µs	743.492µs	743.597µs	0.21%	0.268	-0.172	0.07%	0.038µs	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	[741.974µs; 742.124µs] or [-0.010%; +0.010%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	33.809µs	34.571µs ± 1.377µs	33.932µs ± 0.044µs	34.023µs	37.567µs	37.585µs	37.766µs	11.30%	1.697	0.903	3.97%	0.097µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.380µs; 34.762µs] or [-0.552%; +0.552%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	161.582µs	162.353µs ± 0.339µs	162.290µs ± 0.110µs	162.437µs	162.798µs	163.515µs	165.428µs	1.93%	4.323	33.747	0.21%	0.024µs	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	[162.306µs; 162.400µs] or [-0.029%; +0.029%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	13.955µs	14.356µs ± 0.301µs	14.227µs ± 0.202µs	14.572µs	14.768µs	15.148µs	16.327µs	14.76%	1.755	7.841	2.09%	0.021µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[14.314µs; 14.397µs] or [-0.291%; +0.291%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	185.662µs	186.034µs ± 0.225µs	186.027µs ± 0.158µs	186.170µs	186.371µs	186.554µs	187.392µs	0.73%	1.290	5.395	0.12%	0.016µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5336415.647op/s	5375361.549op/s ± 6504.088op/s	5375571.349op/s ± 4558.419op/s	5380397.463op/s	5384672.959op/s	5385953.844op/s	5386134.689op/s	0.20%	-1.269	5.254	0.12%	459.908op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.812µs	17.893µs ± 0.033µs	17.891µs ± 0.018µs	17.911µs	17.947µs	17.973µs	18.016µs	0.70%	0.296	0.605	0.18%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55505802.455op/s	55887917.678op/s ± 103476.472op/s	55894943.813op/s ± 55766.910op/s	55944588.530op/s	56065693.166op/s	56111390.751op/s	56140628.973op/s	0.44%	-0.283	0.585	0.18%	7316.892op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.532µs	10.576µs ± 0.023µs	10.571µs ± 0.011µs	10.589µs	10.612µs	10.649µs	10.713µs	1.35%	1.669	5.921	0.22%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93345266.326op/s	94550826.764op/s ± 207570.372op/s	94602836.014op/s ± 95126.322op/s	94682664.905op/s	94784247.180op/s	94935266.586op/s	94951067.583op/s	0.37%	-1.636	5.709	0.22%	14677.442op/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	[186.003µs; 186.066µs] 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	[5374460.145op/s; 5376262.953op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.888µs; 17.898µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55873576.834op/s; 55902258.522op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.573µs; 10.580µs] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94522059.507op/s; 94579594.021op/s] or [-0.030%; +0.030%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	2.375µs	2.428µs ± 0.071µs	2.403µs ± 0.013µs	2.418µs	2.610µs	2.646µs	2.649µs	10.27%	2.134	3.058	2.90%	0.005µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.418µs; 2.438µs] or [-0.403%; +0.403%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	144.262µs	146.209µs ± 1.939µs	145.929µs ± 0.488µs	146.396µs	147.800µs	152.276µs	165.998µs	13.75%	6.687	58.755	1.32%	0.137µs	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	[145.941µs; 146.478µs] or [-0.184%; +0.184%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	4.096ms	4.103ms ± 0.007ms	4.102ms ± 0.002ms	4.104ms	4.107ms	4.114ms	4.199ms	2.35%	11.322	144.921	0.18%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_timestamped_x1000	execution_time	[4.102ms; 4.104ms] or [-0.025%; +0.025%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	3.896µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.921µs	3.924µs	3.925µs	0.25%	-0.645	5.747	0.08%	0.000µs	1	200
credit_card/is_card_number/	throughput	254757763.257op/s	255395965.007op/s ± 216313.041op/s	255402640.518op/s ± 123657.592op/s	255525367.284op/s	255695966.683op/s	255768187.785op/s	256699918.097op/s	0.51%	0.664	5.849	0.08%	15295.642op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.045µs	79.921µs ± 0.130µs	79.928µs ± 0.060µs	79.990µs	80.068µs	80.139µs	80.431µs	0.63%	-1.991	12.599	0.16%	0.009µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12433004.852op/s	12512390.453op/s ± 20486.782op/s	12511303.617op/s ± 9423.255op/s	12520055.999op/s	12542257.142op/s	12586107.663op/s	12650952.978op/s	1.12%	2.043	12.900	0.16%	1448.634op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.835µs	67.955µs ± 0.071µs	67.950µs ± 0.038µs	67.988µs	68.066µs	68.111µs	68.548µs	0.88%	3.133	23.120	0.10%	0.005µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14588274.536op/s	14715600.346op/s ± 15309.284op/s	14716721.019op/s ± 8207.435op/s	14724732.323op/s	14734965.612op/s	14740494.496op/s	14741718.615op/s	0.17%	-3.086	22.612	0.10%	1082.530op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.896µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.915µs	3.918µs	3.920µs	3.923µs	0.24%	-0.937	8.754	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254911384.123op/s	255513127.237op/s ± 178450.883op/s	255523112.066op/s ± 107335.419op/s	255619904.946op/s	255741183.122op/s	255791224.470op/s	256693522.201op/s	0.46%	0.958	8.885	0.07%	12618.383op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.801µs	64.906µs ± 0.059µs	64.897µs ± 0.038µs	64.939µs	65.001µs	65.065µs	65.103µs	0.32%	0.717	0.485	0.09%	0.004µs	1	200
credit_card/is_card_number/378282246310005	throughput	15360194.581op/s	15407011.108op/s ± 14041.908op/s	15409066.476op/s ± 9056.399op/s	15417278.975op/s	15426450.848op/s	15430652.242op/s	15431783.800op/s	0.15%	-0.711	0.472	0.09%	992.913op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.479µs	45.659µs ± 0.072µs	45.661µs ± 0.045µs	45.702µs	45.780µs	45.823µs	45.846µs	0.41%	-0.004	-0.123	0.16%	0.005µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21812054.253op/s	21901655.809op/s ± 34570.702op/s	21900515.812op/s ± 21480.622op/s	21924097.135op/s	21959998.559op/s	21982402.234op/s	21988111.028op/s	0.40%	0.013	-0.123	0.16%	2444.518op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.829µs	6.836µs ± 0.003µs	6.836µs ± 0.002µs	6.838µs	6.842µs	6.845µs	6.846µs	0.16%	0.629	0.021	0.05%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	146064806.449op/s	146288235.905op/s ± 73645.202op/s	146294294.523op/s ± 45971.805op/s	146341575.642op/s	146393075.258op/s	146409797.539op/s	146427611.664op/s	0.09%	-0.627	0.017	0.05%	5207.502op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.914µs ± 0.002µs	3.914µs ± 0.001µs	3.915µs	3.917µs	3.919µs	3.919µs	0.12%	-2.556	20.456	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255187879.704op/s	255508610.551op/s ± 155860.757op/s	255503270.443op/s ± 82911.566op/s	255588324.941op/s	255723838.930op/s	255800114.191op/s	256781055.005op/s	0.50%	2.586	20.744	0.06%	11021.020op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	60.675µs	65.643µs ± 0.743µs	65.777µs ± 0.030µs	65.807µs	65.845µs	65.869µs	65.894µs	0.18%	-5.743	32.747	1.13%	0.053µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15175947.254op/s	15235921.254op/s ± 184457.664op/s	15202870.381op/s ± 6919.337op/s	15209464.144op/s	15228389.822op/s	16407577.294op/s	16481307.612op/s	8.41%	5.805	33.484	1.21%	13043.127op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.350µs	53.415µs ± 0.032µs	53.411µs ± 0.018µs	53.429µs	53.470µs	53.523µs	53.551µs	0.26%	1.018	2.194	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18673680.024op/s	18721372.773op/s ± 11196.962op/s	18722821.721op/s ± 6394.621op/s	18728942.859op/s	18737485.938op/s	18741395.936op/s	18744170.488op/s	0.11%	-1.013	2.175	0.06%	791.745op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.896µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.915µs	3.918µs	3.923µs	3.930µs	0.42%	0.135	9.686	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254420759.778op/s	255480684.462op/s ± 199864.606op/s	255490420.159op/s ± 98500.062op/s	255589763.632op/s	255707702.820op/s	255798688.825op/s	256684337.315op/s	0.47%	-0.108	9.734	0.08%	14132.562op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.144µs	50.208µs ± 0.033µs	50.205µs ± 0.020µs	50.226µs	50.267µs	50.314µs	50.331µs	0.25%	0.827	1.042	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19868587.178op/s	19917196.343op/s ± 12914.454op/s	19918436.001op/s ± 7794.107op/s	19925812.712op/s	19935102.967op/s	19937232.211op/s	19942760.289op/s	0.12%	-0.822	1.028	0.06%	913.190op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.430µs	45.666µs ± 0.070µs	45.670µs ± 0.045µs	45.709µs	45.765µs	45.821µs	45.838µs	0.37%	-0.209	0.272	0.15%	0.005µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21816003.824op/s	21898079.637op/s ± 33570.222op/s	21896311.114op/s ± 21767.875op/s	21922742.066op/s	21955465.098op/s	21979018.180op/s	22012075.825op/s	0.53%	0.219	0.281	0.15%	2373.773op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.821µs	6.836µs ± 0.004µs	6.835µs ± 0.003µs	6.838µs	6.843µs	6.846µs	6.856µs	0.30%	0.686	2.849	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	145865554.034op/s	146288422.656op/s ± 87354.772op/s	146296415.738op/s ± 54166.801op/s	146346172.218op/s	146410109.190op/s	146454678.994op/s	146611020.619op/s	0.22%	-0.678	2.830	0.06%	6176.915op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.915µs; 3.916µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/	throughput	[255365986.100op/s; 255425943.915op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.903µs; 79.939µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12509551.183op/s; 12515229.724op/s] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.945µs; 67.965µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14713478.626op/s; 14717722.065op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255488395.661op/s; 255537858.814op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.897µs; 64.914µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15405065.035op/s; 15408957.181op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.649µs; 45.669µs] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21896864.642op/s; 21906446.975op/s] or [-0.022%; +0.022%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.835µs; 6.836µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[146278029.389op/s; 146298442.422op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.914µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255487009.749op/s; 255530211.353op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.540µs; 65.746µs] or [-0.157%; +0.157%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15210357.196op/s; 15261485.312op/s] or [-0.168%; +0.168%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.410µs; 53.419µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18719820.982op/s; 18722924.565op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.914µs; 3.915µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255452985.150op/s; 255508383.774op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.203µs; 50.212µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19915406.524op/s; 19918986.162op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.657µs; 45.676µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21893427.127op/s; 21902732.147op/s] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.835µs; 6.836µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[146276316.125op/s; 146300529.187op/s] or [-0.008%; +0.008%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	48.809ms	49.110ms ± 1.021ms	48.955ms ± 0.041ms	49.013ms	49.340ms	51.597ms	59.720ms	21.99%	9.180	86.567	2.07%	0.072ms	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	[48.968ms; 49.251ms] or [-0.288%; +0.288%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	4.137ms	4.141ms ± 0.002ms	4.141ms ± 0.001ms	4.142ms	4.145ms	4.147ms	4.154ms	0.33%	1.387	4.723	0.06%	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	[4.141ms; 4.141ms] or [-0.008%; +0.008%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	285.543µs	286.203µs ± 0.486µs	286.119µs ± 0.105µs	286.249µs	286.643µs	288.778µs	290.139µs	1.40%	5.277	35.184	0.17%	0.034µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[286.135µs; 286.270µs] or [-0.024%; +0.024%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	919.144µs	921.187µs ± 1.885µs	921.054µs ± 0.710µs	921.681µs	922.850µs	923.919µs	943.582µs	2.45%	8.455	97.886	0.20%	0.133µs	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	[920.926µs; 921.449µs] or [-0.028%; +0.028%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	495.433µs	496.259µs ± 0.376µs	496.243µs ± 0.284µs	496.547µs	496.854µs	497.114µs	497.560µs	0.27%	0.279	-0.223	0.08%	0.027µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2009807.414op/s	2015078.330op/s ± 1527.189op/s	2015143.016op/s ± 1155.295op/s	2016245.845op/s	2017415.293op/s	2018058.844op/s	2018438.209op/s	0.16%	-0.275	-0.229	0.08%	107.989op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.264µs	371.054µs ± 0.385µs	371.022µs ± 0.242µs	371.294µs	371.662µs	371.806µs	373.720µs	0.73%	1.733	10.130	0.10%	0.027µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2675796.640op/s	2695027.344op/s ± 2787.975op/s	2695254.331op/s ± 1761.345op/s	2696942.781op/s	2698982.785op/s	2700199.143op/s	2700777.566op/s	0.20%	-1.705	9.898	0.10%	197.140op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.047µs	168.416µs ± 0.195µs	168.401µs ± 0.130µs	168.532µs	168.782µs	168.860µs	169.077µs	0.40%	0.497	0.100	0.12%	0.014µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5914465.007op/s	5937692.170op/s ± 6858.363op/s	5938191.847op/s ± 4573.134op/s	5942503.727op/s	5948601.853op/s	5949977.389op/s	5950703.816op/s	0.21%	-0.491	0.089	0.12%	484.959op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.798µs	36.963µs ± 0.120µs	36.920µs ± 0.080µs	37.064µs	37.181µs	37.245µs	37.252µs	0.90%	0.589	-0.839	0.32%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26844450.874op/s	27054100.673op/s ± 87455.614op/s	27085623.500op/s ± 59025.213op/s	27129707.419op/s	27157770.662op/s	27168471.577op/s	27175252.880op/s	0.33%	-0.581	-0.853	0.32%	6184.046op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.253µs	46.384µs ± 0.046µs	46.385µs ± 0.029µs	46.411µs	46.459µs	46.508µs	46.546µs	0.35%	0.468	0.942	0.10%	0.003µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21484113.307op/s	21559096.499op/s ± 21241.118op/s	21558681.049op/s ± 13388.651op/s	21574204.767op/s	21590319.235op/s	21599531.953op/s	21620349.910op/s	0.29%	-0.460	0.928	0.10%	1501.974op/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	[496.207µs; 496.311µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2014866.676op/s; 2015289.984op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.001µs; 371.107µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2694640.957op/s; 2695413.730op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.389µs; 168.443µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5936741.667op/s; 5938642.674op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.947µs; 36.980µs] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27041980.166op/s; 27066221.180op/s] or [-0.045%; +0.045%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.378µs; 46.391µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21556152.685op/s; 21562040.314op/s] or [-0.014%; +0.014%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	3.400ms	3.441ms ± 0.026ms	3.432ms ± 0.011ms	3.449ms	3.504ms	3.518ms	3.524ms	2.67%	1.489	1.624	0.75%	0.002ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2598	execution_time	[3.438ms; 3.445ms] or [-0.104%; +0.104%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	4.961µs	5.046µs ± 0.051µs	5.044µs ± 0.050µs	5.083µs	5.126µs	5.130µs	5.130µs	1.72%	0.259	-1.221	1.01%	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	[5.039µs; 5.053µs] or [-0.140%; +0.140%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	5.447µs	5.652µs ± 0.029µs	5.650µs ± 0.014µs	5.664µs	5.704µs	5.749µs	5.763µs	2.01%	-0.721	12.883	0.52%	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	[5.648µs; 5.656µs] or [-0.072%; +0.072%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	578796d	1774517213	andrea.marziali/stat-service-source

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	14.744ms	14.769ms ± 0.014ms	14.767ms ± 0.008ms	14.777ms	14.795ms	14.807ms	14.829ms	0.42%	0.922	1.196	0.09%	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	[14.767ms; 14.771ms] or [-0.013%; +0.013%]	None	None	None

Baseline

Omitted due to size.

[datadog-official]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 71.12%

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 578796d | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.44 MB	101.45 MB	+.01% (+11.67 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.22 MB	118.24 MB	+.01% (+18.15 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.29 MB	11.29 MB	+0% (+24 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.26 MB	27.26 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	186.53 MB	186.52 MB	-0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	921.92 MB	921.92 MB	+0% (+1.36 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	8.99 MB	9.00 MB	+.01% (+1.50 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	26.83 MB	26.83 MB	+.02% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.00 MB	61.01 MB	+0% (+5.25 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	190.75 MB	190.75 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	905.45 MB	905.45 MB	+0% (+1.18 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.86 MB	6.86 MB	+0% (+512 B) 👌
/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	57.39 MB	57.39 MB	+0% (+2.44 KB) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.30 MB	88.31 MB	+0% (+8.67 KB) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.28 MB	10.28 MB	+.03% (+4.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	110.97 MB	110.98 MB	+.01% (+13.25 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.02 MB	12.02 MB	0% (0 B) 👌

[raphaelgavache]

is the encoding of the payload done by tracers?

[VianneyRuhlmann]

is the encoding of the payload done by tracers?

No it's done by serde based on the struct generated from the protobuf definition here

[amarziali]

/merge

[gh-worker-devflow-routing-ef8351]

View all feedbacks in Devflow UI.

2026-03-26 12:58:57 UTC ℹ️ Start processing command /merge

---

2026-03-26 12:59:02 UTC ℹ️ MergeQueue: pull request added to the queue

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

---

2026-03-26 13:29:16 UTC ℹ️ MergeQueue: This merge request was merged