feat!: implement HTTP common component by ekump · Pull Request #1624 · DataDog/libdatadog

ekump · 2026-02-23T17:14:53Z

What does this PR do?

This PR introduces libdd-http-client, a new crate providing a generic, backend-agnostic async HTTP client supporting multipart/form-data designed to be consumed by external language libraries (Python, Ruby, .NET, …) via FFI.

This plan is to follow-up with a higher-level ddog-agent-specific layer (header injection, endpoint routing, etc.) on top of it.

The client supports both a hyper and a reqwest backend, depending on the binary size/performance tradeoffs of consumers.

Supported transport:

TCP (HTTP / HTTPS)
Unix Domain Socket
Windows Named Pipe

Additional features:

Opt-in exponential backoff with jitter via RetryConfig
FIPS support

Motivation

dd-trace-py and dd-trace-rb currently implement HTTP communication in their native
languages (http.client / net/http). This creates three problems:

Instrumentation leakage: the SDK's own HTTP calls can be accidentally captured by the tracing instrumentation running in the same process.
VM lock contention: synchronous I/O in Python holds the GIL; doing this on a background thread blocks the host application.
Duplicated protocol logic: every SDK independently re-implements retries, UDS support, connection pooling, and FIPS TLS.

A shared Rust HTTP client exposed over FFI solves all three: it runs outside the language runtime, is never instrumented by the tracer, and provides one canonical implementation of transport and resilience.

Additional Notes

N/A

How to test the change?

Several unit tests are included. This is an initial PR, and porper integration will be handled later.

github-actions · 2026-02-23T17:20:29Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/ekump/APMSP-2516-implement-http-common-component

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.

pr-commenter · 2026-02-23T17:55:33Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-30 13:53:50

Comparing candidate commit e8deb49 in PR branch ekump/APMSP-2516-implement-http-common-component with baseline commit 8d2029d in branch main.

Found 14 performance improvements and 5 performance regressions! Performance is the same for 43 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:credit_card/is_card_number/ 378282246310005

🟩 execution_time [-5.856µs; -5.786µs] or [-7.965%; -7.871%]
🟩 throughput [+1163042.340op/s; +1176293.839op/s] or [+8.550%; +8.647%]

scenario:credit_card/is_card_number/378282246310005

🟩 execution_time [-5.263µs; -5.191µs] or [-7.518%; -7.416%]
🟩 throughput [+1145284.152op/s; +1160120.156op/s] or [+8.017%; +8.121%]

scenario:credit_card/is_card_number/37828224631000521389798

🟩 execution_time [-7.329µs; -7.298µs] or [-14.000%; -13.940%]
🟩 throughput [+3095105.326op/s; +3109010.841op/s] or [+16.203%; +16.276%]

scenario:credit_card/is_card_number_no_luhn/ 3782-8224-6310-005

🟩 execution_time [-4.069µs; -3.951µs] or [-6.318%; -6.134%]
🟩 throughput [+1015746.647op/s; +1047739.804op/s] or [+6.541%; +6.747%]

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

🟩 execution_time [-3.889µs; -3.848µs] or [-6.754%; -6.684%]
🟩 throughput [+1244399.595op/s; +1257818.972op/s] or [+7.165%; +7.242%]

scenario:credit_card/is_card_number_no_luhn/378282246310005

🟩 execution_time [-4.479µs; -4.434µs] or [-8.174%; -8.092%]
🟩 throughput [+1607919.485op/s; +1623275.175op/s] or [+8.811%; +8.895%]

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

🟩 execution_time [-7.363µs; -7.334µs] or [-14.056%; -14.001%]
🟩 throughput [+3108529.655op/s; +3121644.282op/s] or [+16.283%; +16.352%]

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

🟥 execution_time [+19.522µs; +19.663µs] or [+10.467%; +10.543%]
🟥 throughput [-511472.117op/s; -507943.766op/s] or [-9.539%; -9.473%]

scenario:normalization/normalize_name/normalize_name/good

🟥 execution_time [+902.327ns; +932.409ns] or [+9.099%; +9.403%]
🟥 throughput [-8663290.686op/s; -8401201.285op/s] or [-8.591%; -8.331%]

scenario:tags/replace_trace_tags

🟥 execution_time [+97.321ns; +108.458ns] or [+4.103%; +4.573%]

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	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	49.099ms	49.372ms ± 1.113ms	49.209ms ± 0.046ms	49.266ms	49.441ms	56.297ms	60.455ms	22.86%	8.192	68.936	2.25%	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	[49.218ms; 49.527ms] or [-0.312%; +0.312%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	14.793ms	14.855ms ± 0.030ms	14.852ms ± 0.015ms	14.867ms	14.900ms	14.946ms	15.042ms	1.28%	1.985	9.196	0.20%	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	[14.851ms; 14.859ms] or [-0.028%; +0.028%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	4.216ms	4.221ms ± 0.008ms	4.220ms ± 0.001ms	4.221ms	4.225ms	4.229ms	4.333ms	2.69%	11.780	152.649	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	[4.219ms; 4.222ms] or [-0.028%; +0.028%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	3.419ms	3.461ms ± 0.030ms	3.450ms ± 0.010ms	3.466ms	3.532ms	3.554ms	3.561ms	3.23%	1.530	1.578	0.87%	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	[3.457ms; 3.465ms] or [-0.120%; +0.120%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	2.424µs	2.475µs ± 0.037µs	2.470µs ± 0.030µs	2.500µs	2.537µs	2.545µs	2.550µs	3.22%	0.357	-1.199	1.47%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.470µs; 2.480µs] or [-0.205%; +0.205%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	160.408µs	161.579µs ± 0.317µs	161.601µs ± 0.189µs	161.754µs	162.097µs	162.265µs	162.672µs	0.66%	-0.042	0.997	0.20%	0.022µs	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	[161.535µs; 161.623µs] or [-0.027%; +0.027%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	205.229µs	206.097µs ± 0.427µs	206.115µs ± 0.296µs	206.376µs	206.685µs	207.172µs	207.718µs	0.78%	0.322	0.398	0.21%	0.030µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4814227.421op/s	4852115.012op/s ± 10050.273op/s	4851663.987op/s ± 6959.356op/s	4859421.534op/s	4867682.062op/s	4871997.677op/s	4872613.424op/s	0.43%	-0.308	0.367	0.21%	710.662op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.580µs	18.700µs ± 0.078µs	18.681µs ± 0.032µs	18.724µs	18.829µs	19.036µs	19.143µs	2.47%	2.626	10.450	0.41%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52237930.493op/s	53477002.310op/s ± 219955.635op/s	53529584.282op/s ± 91070.945op/s	53602618.352op/s	53701724.758op/s	53805395.778op/s	53821583.276op/s	0.55%	-2.558	9.970	0.41%	15553.212op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.594µs	10.834µs ± 0.102µs	10.817µs ± 0.064µs	10.900µs	11.013µs	11.087µs	11.106µs	2.67%	0.378	-0.154	0.94%	0.007µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90038448.479op/s	92310866.297op/s ± 863164.296op/s	92445410.514op/s ± 548922.024op/s	92893043.944op/s	93557979.737op/s	94021557.121op/s	94395705.356op/s	2.11%	-0.330	-0.191	0.93%	61034.933op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[206.037µs; 206.156µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4850722.141op/s; 4853507.883op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.689µs; 18.711µs] or [-0.058%; +0.058%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53446518.575op/s; 53507486.046op/s] or [-0.057%; +0.057%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.820µs; 10.848µs] or [-0.130%; +0.130%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92191240.028op/s; 92430492.567op/s] or [-0.130%; +0.130%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	14.932µs	15.410µs ± 0.267µs	15.374µs ± 0.154µs	15.530µs	15.891µs	16.110µs	16.691µs	8.56%	1.260	2.726	1.73%	0.019µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[15.373µs; 15.447µs] or [-0.240%; +0.240%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	4.200ms	4.206ms ± 0.003ms	4.205ms ± 0.001ms	4.207ms	4.210ms	4.212ms	4.234ms	0.69%	3.942	33.366	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	[4.205ms; 4.206ms] or [-0.010%; +0.010%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	4.976µs	5.061µs ± 0.044µs	5.083µs ± 0.026µs	5.092µs	5.120µs	5.125µs	5.127µs	0.87%	-0.457	-1.225	0.86%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.055µs; 5.067µs] or [-0.120%; +0.120%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	3.899µs	3.917µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.924µs	3.928µs	3.932µs	0.42%	0.468	1.648	0.11%	0.000µs	1	200
credit_card/is_card_number/	throughput	254308887.717op/s	255312671.714op/s ± 275380.644op/s	255368576.901op/s ± 163901.431op/s	255511479.661op/s	255622997.837op/s	255744606.670op/s	256474680.205op/s	0.43%	-0.457	1.658	0.11%	19472.352op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.383µs	77.625µs ± 0.548µs	77.608µs ± 0.411µs	78.012µs	78.547µs	78.966µs	79.001µs	1.79%	0.182	-0.470	0.70%	0.039µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12658053.957op/s	12883040.618op/s ± 90916.385op/s	12885239.507op/s ± 68102.930op/s	12954336.021op/s	13025744.941op/s	13066115.548op/s	13091936.960op/s	1.60%	-0.150	-0.487	0.70%	6428.759op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.474µs	67.692µs ± 0.110µs	67.677µs ± 0.062µs	67.748µs	67.856µs	67.944µs	68.414µs	1.09%	1.670	8.143	0.16%	0.008µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14616943.250op/s	14772769.834op/s ± 23988.700op/s	14776138.753op/s ± 13578.946op/s	14787722.494op/s	14804632.074op/s	14815135.532op/s	14820437.383op/s	0.30%	-1.635	7.873	0.16%	1696.257op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.898µs	3.917µs ± 0.004µs	3.917µs ± 0.002µs	3.919µs	3.924µs	3.929µs	3.931µs	0.37%	0.234	2.927	0.10%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254376896.124op/s	255289140.285op/s ± 256153.488op/s	255316881.589op/s ± 160977.576op/s	255473320.844op/s	255613050.923op/s	255689749.158op/s	256532256.420op/s	0.48%	-0.219	2.958	0.10%	18112.787op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.578µs	64.771µs ± 0.083µs	64.763µs ± 0.047µs	64.816µs	64.908µs	65.025µs	65.141µs	0.58%	0.889	2.674	0.13%	0.006µs	1	200
credit_card/is_card_number/378282246310005	throughput	15351278.350op/s	15438992.865op/s ± 19776.786op/s	15440870.730op/s ± 11304.016op/s	15451074.944op/s	15467784.782op/s	15481760.412op/s	15485231.734op/s	0.29%	-0.874	2.623	0.13%	1398.430op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	44.799µs	45.036µs ± 0.086µs	45.038µs ± 0.058µs	45.095µs	45.176µs	45.217µs	45.249µs	0.47%	-0.143	-0.066	0.19%	0.006µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	22099738.797op/s	22204433.393op/s ± 42346.147op/s	22203386.405op/s ± 28666.905op/s	22233079.077op/s	22278531.182op/s	22318054.905op/s	22321734.673op/s	0.53%	0.154	-0.059	0.19%	2994.325op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	5.697µs	5.708µs ± 0.007µs	5.706µs ± 0.004µs	5.711µs	5.716µs	5.723µs	5.771µs	1.13%	3.807	30.024	0.12%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	173277367.940op/s	175204607.851op/s ± 217618.260op/s	175242432.880op/s ± 127569.267op/s	175342393.424op/s	175439848.367op/s	175500792.919op/s	175537590.128op/s	0.17%	-3.742	29.255	0.12%	15387.935op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.918µs ± 0.004µs	3.917µs ± 0.002µs	3.920µs	3.924µs	3.926µs	3.926µs	0.23%	-1.055	7.594	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254702163.083op/s	255257686.644op/s ± 248512.225op/s	255276782.607op/s ± 151275.684op/s	255389852.537op/s	255594965.548op/s	255730322.791op/s	256870919.797op/s	0.62%	1.079	7.763	0.10%	17572.468op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	59.676µs	60.390µs ± 0.414µs	60.328µs ± 0.246µs	60.624µs	61.073µs	61.599µs	62.160µs	3.04%	1.108	1.956	0.68%	0.029µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	16087629.902op/s	16559928.460op/s ± 112620.922op/s	16576155.201op/s ± 67551.460op/s	16637127.015op/s	16706211.613op/s	16740324.869op/s	16757211.128op/s	1.09%	-1.053	1.747	0.68%	7963.502op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.433µs	53.707µs ± 0.115µs	53.703µs ± 0.080µs	53.784µs	53.913µs	53.967µs	53.979µs	0.51%	0.109	-0.312	0.21%	0.008µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18525756.002op/s	18619477.497op/s ± 39949.524op/s	18620844.673op/s ± 27904.663op/s	18647694.154op/s	18688263.584op/s	18702222.694op/s	18715037.533op/s	0.51%	-0.099	-0.314	0.21%	2824.858op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.903µs	3.917µs ± 0.004µs	3.916µs ± 0.003µs	3.919µs	3.923µs	3.927µs	3.931µs	0.37%	0.563	0.933	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254410825.270op/s	255319744.083op/s ± 261359.782op/s	255346351.762op/s ± 180581.181op/s	255516291.880op/s	255667923.366op/s	255738962.303op/s	256220674.821op/s	0.34%	-0.555	0.925	0.10%	18480.927op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.225µs	50.339µs ± 0.067µs	50.331µs ± 0.042µs	50.374µs	50.440µs	50.551µs	50.609µs	0.55%	1.065	2.038	0.13%	0.005µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19759421.595op/s	19865460.616op/s ± 26527.434op/s	19868389.408op/s ± 16490.189op/s	19884359.960op/s	19900976.843op/s	19909404.625op/s	19910538.648op/s	0.21%	-1.054	1.996	0.13%	1875.773op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	44.771µs	45.034µs ± 0.086µs	45.036µs ± 0.062µs	45.098µs	45.172µs	45.210µs	45.230µs	0.43%	-0.157	-0.408	0.19%	0.006µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	22109107.249op/s	22205392.526op/s ± 42626.510op/s	22204412.018op/s ± 30708.919op/s	22236810.919op/s	22278312.949op/s	22296338.422op/s	22335860.103op/s	0.59%	0.166	-0.401	0.19%	3014.149op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	5.695µs	5.706µs ± 0.006µs	5.704µs ± 0.004µs	5.710µs	5.716µs	5.721µs	5.724µs	0.35%	0.656	-0.157	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	174689870.640op/s	175259471.284op/s ± 178440.301op/s	175305218.192op/s ± 114900.616op/s	175394121.836op/s	175491384.158op/s	175563329.541op/s	175586061.072op/s	0.16%	-0.652	-0.166	0.10%	12617.635op/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 [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/	throughput	[255274506.605op/s; 255350836.823op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.549µs; 77.701µs] or [-0.098%; +0.098%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12870440.481op/s; 12895640.754op/s] or [-0.098%; +0.098%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[67.677µs; 67.708µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14769445.231op/s; 14776094.437op/s] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.917µs; 3.918µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255253639.875op/s; 255324640.695op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.760µs; 64.783µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15436251.993op/s; 15441733.738op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.024µs; 45.048µs] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[22198564.625op/s; 22210302.162op/s] or [-0.026%; +0.026%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[5.707µs; 5.709µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[175174448.053op/s; 175234767.649op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.917µs; 3.918µs] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255223245.240op/s; 255292128.048op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[60.332µs; 60.447µs] or [-0.095%; +0.095%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[16544320.284op/s; 16575536.637op/s] or [-0.094%; +0.094%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.691µs; 53.723µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18613940.877op/s; 18625014.117op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.916µs; 3.917µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255283522.131op/s; 255355966.035op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.329µs; 50.348µs] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19861784.169op/s; 19869137.063op/s] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.022µs; 45.046µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[22199484.902op/s; 22211300.151op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[5.705µs; 5.707µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[175234741.174op/s; 175284201.393op/s] or [-0.014%; +0.014%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	745.860µs	747.122µs ± 0.602µs	747.089µs ± 0.292µs	747.350µs	748.173µs	749.015µs	750.371µs	0.44%	1.437	4.795	0.08%	0.043µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[747.039µs; 747.206µs] or [-0.011%; +0.011%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	145.212µs	147.815µs ± 1.584µs	147.634µs ± 0.580µs	148.190µs	149.640µs	153.937µs	162.138µs	9.82%	4.655	34.844	1.07%	0.112µs	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	[147.596µs; 148.035µs] or [-0.149%; +0.149%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	33.948µs	34.686µs ± 1.196µs	34.132µs ± 0.056µs	34.249µs	37.246µs	37.306µs	38.282µs	12.16%	1.704	0.988	3.44%	0.085µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.521µs; 34.852µs] or [-0.478%; +0.478%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	5.476µs	5.543µs ± 0.031µs	5.553µs ± 0.019µs	5.565µs	5.583µs	5.591µs	5.603µs	0.90%	-0.699	-0.487	0.56%	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	[5.539µs; 5.548µs] or [-0.078%; +0.078%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	911.233µs	915.786µs ± 2.743µs	915.267µs ± 1.105µs	916.670µs	919.582µs	927.514µs	934.906µs	2.15%	3.363	17.919	0.30%	0.194µs	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	[915.406µs; 916.166µs] or [-0.042%; +0.042%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	289.188µs	289.867µs ± 0.521µs	289.749µs ± 0.158µs	289.960µs	290.525µs	292.227µs	293.868µs	1.42%	4.275	25.560	0.18%	0.037µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[289.795µs; 289.940µs] or [-0.025%; +0.025%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	244.353ns	255.391ns ± 13.757ns	249.876ns ± 4.048ns	257.534ns	289.841ns	297.604ns	299.967ns	20.05%	1.786	2.132	5.37%	0.973ns	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	[253.484ns; 257.298ns] or [-0.747%; +0.747%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	14.862ms	14.900ms ± 0.017ms	14.899ms ± 0.011ms	14.911ms	14.924ms	14.936ms	14.989ms	0.61%	1.042	4.175	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	[14.898ms; 14.902ms] or [-0.016%; +0.016%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	190.901ns	193.227ns ± 1.921ns	193.010ns ± 1.526ns	194.214ns	196.976ns	198.688ns	198.825ns	3.01%	0.890	0.188	0.99%	0.136ns	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	[192.961ns; 193.493ns] or [-0.138%; +0.138%]	None	None	None

Group 21

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`e8deb49`	1774877806	ekump/APMSP-2516-implement-http-common-component

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	534.948µs	536.370µs ± 1.256µs	536.039µs ± 0.484µs	536.683µs	538.906µs	539.911µs	545.797µs	1.82%	3.007	15.600	0.23%	0.089µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1832183.028op/s	1864395.482op/s ± 4336.071op/s	1865536.006op/s ± 1687.387op/s	1867106.396op/s	1868409.779op/s	1869064.782op/s	1869340.160op/s	0.20%	-2.949	14.986	0.23%	306.607op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.352µs	381.265µs ± 0.450µs	381.204µs ± 0.293µs	381.551µs	381.968µs	382.674µs	382.826µs	0.43%	0.789	0.953	0.12%	0.032µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2612156.043op/s	2622854.471op/s ± 3090.098op/s	2623268.529op/s ± 2017.580op/s	2624896.124op/s	2626854.553op/s	2628478.603op/s	2629140.525op/s	0.22%	-0.781	0.933	0.12%	218.503op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.121µs	190.255µs ± 0.395µs	190.245µs ± 0.283µs	190.520µs	190.907µs	191.118µs	191.436µs	0.63%	0.044	-0.006	0.21%	0.028µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5223668.337op/s	5256138.966op/s ± 10910.967op/s	5256376.132op/s ± 7821.869op/s	5264404.728op/s	5274619.435op/s	5280500.526op/s	5287621.493op/s	0.59%	-0.032	-0.006	0.21%	771.522op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.825µs	37.932µs ± 0.056µs	37.920µs ± 0.030µs	37.960µs	38.034µs	38.096µs	38.169µs	0.66%	1.119	1.661	0.15%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26198979.840op/s	26363087.257op/s ± 38534.121op/s	26370991.530op/s ± 21041.772op/s	26388366.839op/s	26410743.925op/s	26429705.593op/s	26437591.532op/s	0.25%	-1.108	1.624	0.15%	2724.774op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.769µs	46.010µs ± 0.107µs	45.984µs ± 0.070µs	46.076µs	46.215µs	46.288µs	46.347µs	0.79%	0.698	0.074	0.23%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21576404.228op/s	21734607.103op/s ± 50331.760op/s	21746714.643op/s ± 33086.701op/s	21772504.201op/s	21797691.919op/s	21819146.098op/s	21848692.228op/s	0.47%	-0.687	0.054	0.23%	3558.993op/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	[536.196µs; 536.544µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1863794.544op/s; 1864996.420op/s] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.202µs; 381.327µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2622426.213op/s; 2623282.729op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.200µs; 190.309µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5254626.811op/s; 5257651.121op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.924µs; 37.940µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26357746.799op/s; 26368427.716op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.995µs; 46.025µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21727631.605op/s; 21741582.601op/s] or [-0.032%; +0.032%]	None	None	None

Baseline

Omitted due to size.

dd-octo-sts · 2026-02-23T18:16:53Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.76 MB	8.76 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	101.91 MB	101.93 MB	+.01% (+19.18 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	118.86 MB	118.83 MB	--.02% (-30.56 KB) 💪
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.36 MB	11.36 MB	-0% (-88 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.38 MB	27.38 MB	+0% (+2.50 KB) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	80.69 KB	80.69 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	187.11 MB	187.10 MB	-0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	925.04 MB	925.19 MB	+.01% (+155.56 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.06 MB	9.06 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	80.69 KB	80.69 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	26.98 MB	26.99 MB	+.02% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	61.28 MB	61.30 MB	+.02% (+17.40 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.19 MB	23.24 MB	+.22% (+52.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	81.94 KB	81.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	191.47 MB	191.66 MB	+.09% (+192.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	908.71 MB	910.20 MB	+.16% (+1.48 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.90 MB	6.90 MB	+.01% (+1.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	81.94 KB	81.94 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	29.11 MB	29.11 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	57.68 MB	57.67 MB	--.01% (-10.66 KB) 💪

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	88.72 MB	88.77 MB	+.04% (+45.07 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.32 MB	10.32 MB	+.03% (+4.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	111.55 MB	111.54 MB	-0% (-8.09 KB) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	12.08 MB	12.07 MB	--.03% (-4.48 KB) 💪

codecov-commenter · 2026-02-23T18:45:53Z

Codecov Report

❌ Patch coverage is 89.16409% with 70 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.30%. Comparing base (bfdbeae) to head (e8deb49).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1624      +/-   ##
==========================================
+ Coverage   71.21%   71.30%   +0.09%     
==========================================
  Files         414      423       +9     
  Lines       65963    66609     +646     
==========================================
+ Hits        46974    47496     +522     
- Misses      18989    19113     +124

Components	Coverage Δ
libdd-crashtracker	`65.18% <ø> (-0.05%)`	⬇️
libdd-crashtracker-ffi	`34.47% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.05% <ø> (+0.04%)`	⬆️
libdd-data-pipeline-ffi	`72.91% <ø> (+0.22%)`	⬆️
libdd-common	`80.19% <100.00%> (+0.40%)`	⬆️
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	`72.33% <ø> (-0.23%)`	⬇️
libdd-profiling	`81.62% <ø> (ø)`
libdd-profiling-ffi	`64.94% <ø> (ø)`
datadog-sidecar	`30.18% <ø> (-0.61%)`	⬇️
datdog-sidecar-ffi	`6.52% <ø> (-2.85%)`	⬇️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`87.24% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`88.72% <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-us1-2 · 2026-02-25T09:43:50Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 89.16%
• Overall Coverage: 71.31% (+0.08%)

_{This comment will be updated automatically if new data arrives.

🔗 Commit SHA: e8deb49 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

danielsn · 2026-02-25T11:46:33Z

It might make sense to tie this into the ddcommon Endpoint type

ekump · 2026-02-25T12:33:29Z

@danielsn Endpoint is specific for Datadog endpoints and does things like automatic header injection, which we don't want to do with a generic http client.

@brettlangdon did mention that it would be nice if there was an "agent client". I think it makes sense. We can build that on top of this generic http client. I assume we'll be able to extract logic in Endpoint so it's shared (or just use it directly).

yannham

👍 for the simple interface, README, extensive testing split in small files. LGTM

libdd-http-client/src/backend/reqwest_backend.rs

libdd-http-client/src/client.rs

libdd-http-client/src/request.rs

libdd-http-client/src/retry.rs

libdd-http-client/tests/multipart_test.rs

Builder API supports unix_socket() and windows_named_pipe() for platform-specific transports. FIPS TLS via rustls-no-provider with init_fips_crypto() helper for callers to install the crypto provider.

Opt-in retry via RetryConfig on the builder. Supports configurable max retries, initial delay, exponential backoff, and jitter. All errors except InvalidConfig are retried.

Add MultipartPart type and multipart_parts field on HttpRequest. When parts are present, the request is sent as multipart/form-data with reqwest handling Content-Type and boundary automatically. Setting both multipart parts and a body returns an error.

Add a hyper-backend feature as a lighter alternative to reqwest-backend for consumers where binary size matters. The hyper backend uses libdd-common's Connector and a new shared multipart encoder in libdd-common. CI runs tests against both backends.

When both reqwest-backend and hyper-backend are enabled (e.g. CI with --all-features), reqwest takes precedence. Hyper backend only activates when reqwest-backend is not enabled.

New crate from #1624 used reqwest?/rustls which re-introduced aws-lc-rs. Switch to rustls-no-provider to match the rest of the workspace.

ekump changed the title ~~(WIP} ekump/APMSP-2516 implement http common component~~ (WIP) ekump/APMSP-2516 implement http common component Feb 23, 2026

ekump force-pushed the ekump/APMSP-2516-implement-http-common-component branch 2 times, most recently from 919247e to 0c989d9 Compare February 23, 2026 17:34

github-actions bot added the ci-build label Feb 23, 2026

ekump force-pushed the ekump/APMSP-2516-implement-http-common-component branch 2 times, most recently from 9093e6a to 5570b43 Compare February 25, 2026 09:30

ekump force-pushed the ekump/APMSP-2516-implement-http-common-component branch from 5570b43 to c1327a8 Compare February 25, 2026 12:22

github-actions bot added the common label Feb 25, 2026

ekump force-pushed the ekump/APMSP-2516-implement-http-common-component branch from 0a1ac56 to 5d99312 Compare February 26, 2026 13:13

yannham reviewed Mar 19, 2026

View reviewed changes

yannham self-assigned this Mar 19, 2026

yannham changed the title ~~(WIP) ekump/APMSP-2516 implement http common component~~ feat!: implement HTTP common component Mar 20, 2026

yannham force-pushed the ekump/APMSP-2516-implement-http-common-component branch from 2090110 to 7daa34f Compare March 20, 2026 10:56

yannham marked this pull request as ready for review March 20, 2026 10:56

yannham requested review from a team as code owners March 20, 2026 10:56

yannham requested a review from lloeki March 20, 2026 10:57

yannham mentioned this pull request Mar 20, 2026

fix(ci): handle new crate addition in semver-check #1769

Merged

hoolioh added the skip-pr-title-semver-check label Mar 20, 2026

yannham requested a review from a team as a code owner March 20, 2026 13:20

yannham removed the skip-pr-title-semver-check label Mar 20, 2026

yannham force-pushed the ekump/APMSP-2516-implement-http-common-component branch 2 times, most recently from 6436cbc to f7034e5 Compare March 20, 2026 13:30

ekump and others added 16 commits March 30, 2026 12:06

add UDS, Windows Named Pipe, and FIPS TLS support

7bab547

Builder API supports unix_socket() and windows_named_pipe() for platform-specific transports. FIPS TLS via rustls-no-provider with init_fips_crypto() helper for callers to install the crypto provider.

add configurable retry with exponential backoff

46c89df

Opt-in retry via RetryConfig on the builder. Supports configurable max retries, initial delay, exponential backoff, and jitter. All errors except InvalidConfig are retried.

add CODEOWNERS entry for libdd-http-client

7d20890

update license file

b3ba5f0

add tests for windows named pipes

2c24e79

add README

3f1e660

add miri ignore for tests involving hickorydns

1e48b62

fix(libdd-http-client): resolve --all-features conflict between backends

9e6ac69

When both reqwest-backend and hyper-backend are enabled (e.g. CI with --all-features), reqwest takes precedence. Hyper backend only activates when reqwest-backend is not enabled.

add response and fips tests

13486a5

chore: move new() to Backend trait

9b6601e

chore: improve compile-time directive in http client

2bb1959

chore: add checks in http client tests

f67520e

chore: update libdd-common deps of libdd-http-client

15b51a4

chore: improve HTTP client README example

3e69678

yannham force-pushed the ekump/APMSP-2516-implement-http-common-component branch from fc06596 to 97cfd8f Compare March 30, 2026 10:26

yannham added 3 commits March 30, 2026 13:51

chore: reduce visibility of fields + renaming

7449714

chore: update Cargo.lock for new http-client component

bc83ae2

chore: update license file

b49a17e

yannham force-pushed the ekump/APMSP-2516-implement-http-common-component branch from 97cfd8f to b49a17e Compare March 30, 2026 11:51

chore: replace for by folds

e8deb49

gh-worker-dd-devflow-36fce6 bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: queued labels Mar 30, 2026

gh-worker-dd-mergequeue-cf854d bot merged commit 29678bd into main Mar 30, 2026
89 checks passed

gh-worker-dd-devflow-36fce6 bot added mergequeue-status: done and removed mergequeue-status: in_progress labels Mar 30, 2026

gh-worker-dd-mergequeue-cf854d bot deleted the ekump/APMSP-2516-implement-http-common-component branch March 30, 2026 15:24

duncanista added a commit that referenced this pull request Mar 30, 2026

fix: switch libdd-http-client reqwest to rustls-no-provider

f5cb663

New crate from #1624 used reqwest?/rustls which re-introduced aws-lc-rs. Switch to rustls-no-provider to match the rest of the workspace.

Conversation

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Motivation

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Clippy Allow Annotation Report

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Benchmarks

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More details about the CI and significant changes

scenario:credit_card/is_card_number/ 378282246310005

scenario:credit_card/is_card_number/378282246310005

scenario:credit_card/is_card_number/37828224631000521389798

scenario:credit_card/is_card_number_no_luhn/ 3782-8224-6310-005

scenario:credit_card/is_card_number_no_luhn/ 378282246310005

scenario:credit_card/is_card_number_no_luhn/378282246310005

scenario:credit_card/is_card_number_no_luhn/37828224631000521389798

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

scenario:normalization/normalize_name/normalize_name/good

scenario:tags/replace_trace_tags

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Baseline

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