feat(agents)!: retrieve container tags hash from /info endpoint by dubloom · Pull Request #1700 · DataDog/libdatadog

dubloom · 2026-03-10T13:19:35Z

dd-trace-php needs to propagate container_tags_hash through DBM when a config is enabled.

This hash is in the response headers of agents /info. However, dd-trace-php is using libdatadog to call that endpoint, therefore this PR adds a wait to retrieve container tags hash header from the /agent call.

github-actions · 2026-03-10T13:22:46Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/dubloom/container-back-propagation

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`	28	28	No change (0%)
`datadog-live-debugger`	6	6	No change (0%)
`datadog-live-debugger-ffi`	10	10	No change (0%)
`datadog-profiling-replayer`	4	4	No change (0%)
`datadog-remote-config`	3	3	No change (0%)
`datadog-sidecar`	59	59	No change (0%)
`libdd-common`	10	10	No change (0%)
`libdd-common-ffi`	12	12	No change (0%)
`libdd-data-pipeline`	5	5	No change (0%)
`libdd-ddsketch`	2	2	No change (0%)
`libdd-dogstatsd-client`	1	1	No change (0%)
`libdd-profiling`	13	13	No change (0%)
`libdd-telemetry`	19	19	No change (0%)
`libdd-tinybytes`	4	4	No change (0%)
`libdd-trace-normalization`	2	2	No change (0%)
`libdd-trace-obfuscation`	9	9	No change (0%)
`libdd-trace-utils`	15	15	No change (0%)
Total	208	208	No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

pr-commenter · 2026-03-10T13:40:52Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-20 13:43:40

Comparing candidate commit 9443d65 in PR branch dubloom/container-back-propagation with baseline commit d88e70e in branch main.

Found 2 performance improvements and 2 performance regressions! Performance is the same for 55 metrics, 2 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

🟩 = significantly better candidate vs. baseline
🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:credit_card/is_card_number/378282246310005

🟩 execution_time [-14.526µs; -14.466µs] or [-18.283%; -18.207%]
🟩 throughput [+2802956.086op/s; +2815115.564op/s] or [+22.269%; +22.366%]

scenario:ip_address/quantize_peer_ip_address_benchmark

🟥 execution_time [+473.502ns; +488.558ns] or [+9.412%; +9.711%]

scenario:tags/replace_trace_tags

🟥 execution_time [+192.967ns; +199.470ns] or [+8.173%; +8.449%]

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	`9443d65`	1774013197	dubloom/container-back-propagation

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	18.007µs	23.642µs ± 9.765µs	18.578µs ± 0.155µs	19.358µs	45.486µs	49.871µs	71.558µs	285.18%	1.835	2.924	41.20%	0.690µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[22.289µs; 24.996µs] or [-5.724%; +5.724%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	238.987ns	251.824ns ± 13.626ns	245.879ns ± 4.677ns	258.798ns	286.760ns	288.333ns	289.180ns	17.61%	1.454	1.083	5.40%	0.964ns	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	[249.936ns; 253.713ns] or [-0.750%; +0.750%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	4.192ms	4.197ms ± 0.002ms	4.197ms ± 0.002ms	4.199ms	4.201ms	4.204ms	4.215ms	0.42%	2.104	11.491	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	[4.197ms; 4.198ms] or [-0.008%; +0.008%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	3.914µs ± 0.003µs	3.913µs ± 0.001µs	3.915µs	3.919µs	3.921µs	3.926µs	0.32%	-0.205	6.672	0.08%	0.000µs	1	200
credit_card/is_card_number/	throughput	254720424.901op/s	255515782.034op/s ± 193147.513op/s	255546910.129op/s ± 97917.751op/s	255636134.170op/s	255728801.651op/s	255846586.770op/s	256668588.334op/s	0.44%	0.224	6.753	0.08%	13657.592op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	74.784µs	76.320µs ± 0.739µs	76.287µs ± 0.500µs	76.762µs	77.672µs	78.277µs	78.618µs	3.06%	0.404	0.084	0.97%	0.052µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12719667.937op/s	13103999.734op/s ± 126435.294op/s	13108410.369op/s ± 86426.508op/s	13196804.832op/s	13298183.791op/s	13359802.016op/s	13371928.871op/s	2.01%	-0.349	0.011	0.96%	8940.325op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	67.912µs	68.416µs ± 0.146µs	68.425µs ± 0.068µs	68.486µs	68.592µs	68.973µs	69.212µs	1.15%	0.869	6.053	0.21%	0.010µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	14448465.934op/s	14616457.071op/s ± 31228.743op/s	14614444.918op/s ± 14573.349op/s	14633242.338op/s	14666947.944op/s	14687413.486op/s	14724945.581op/s	0.76%	-0.823	5.886	0.21%	2208.206op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.914µs ± 0.002µs	3.913µs ± 0.001µs	3.915µs	3.918µs	3.919µs	3.919µs	0.15%	-2.335	21.514	0.06%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255151061.707op/s	255516348.155op/s ± 159128.401op/s	255534915.265op/s ± 79846.590op/s	255601386.638op/s	255693898.473op/s	255785577.301op/s	256828074.805op/s	0.51%	2.369	21.833	0.06%	11252.077op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	64.770µs	64.953µs ± 0.155µs	64.912µs ± 0.066µs	64.994µs	65.213µs	65.506µs	65.924µs	1.56%	2.476	9.294	0.24%	0.011µs	1	200
credit_card/is_card_number/378282246310005	throughput	15168889.828op/s	15395718.934op/s ± 36414.755op/s	15405467.404op/s ± 15780.006op/s	15418899.719op/s	15430298.785op/s	15435593.266op/s	15439155.242op/s	0.22%	-2.440	9.011	0.24%	2574.912op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.353µs	45.722µs ± 0.133µs	45.730µs ± 0.095µs	45.823µs	45.919µs	45.929µs	46.114µs	0.84%	-0.262	-0.220	0.29%	0.009µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21685420.595op/s	21871309.434op/s ± 63470.527op/s	21867286.543op/s ± 45502.363op/s	21914034.296op/s	21991151.473op/s	22011049.484op/s	22049369.041op/s	0.83%	0.277	-0.215	0.29%	4488.044op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.430µs	6.437µs ± 0.003µs	6.437µs ± 0.002µs	6.439µs	6.443µs	6.446µs	6.455µs	0.29%	1.183	3.578	0.05%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154914250.875op/s	155355072.880op/s ± 82387.577op/s	155363458.515op/s ± 51980.156op/s	155415658.128op/s	155466493.797op/s	155503697.025op/s	155516870.929op/s	0.10%	-1.176	3.543	0.05%	5825.681op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.916µs	3.918µs	3.920µs	3.921µs	0.17%	-1.780	13.431	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255053624.126op/s	255485304.249op/s ± 187619.248op/s	255489347.569op/s ± 110665.217op/s	255597878.539op/s	255725664.880op/s	255782983.792op/s	256876831.981op/s	0.54%	1.807	13.665	0.07%	13266.684op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	62.211µs	63.812µs ± 0.587µs	63.844µs ± 0.407µs	64.236µs	64.688µs	64.896µs	65.025µs	1.85%	-0.360	-0.140	0.92%	0.041µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15378735.147op/s	15672477.745op/s ± 144592.229op/s	15663200.883op/s ± 100346.713op/s	15765696.873op/s	15947094.984op/s	16043460.215op/s	16074314.525op/s	2.62%	0.408	-0.076	0.92%	10224.215op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.851µs	54.131µs ± 0.089µs	54.124µs ± 0.050µs	54.186µs	54.267µs	54.342µs	54.403µs	0.51%	-0.114	0.754	0.16%	0.006µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18381395.881op/s	18473842.192op/s ± 30502.542op/s	18475925.869op/s ± 17097.342op/s	18488999.980op/s	18521176.853op/s	18547565.840op/s	18569772.205op/s	0.51%	0.127	0.758	0.16%	2156.855op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.917µs	3.921µs	3.922µs	0.22%	-0.944	10.356	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254997848.082op/s	255533515.200op/s ± 173335.120op/s	255551164.173op/s ± 102535.319op/s	255638006.982op/s	255733902.279op/s	255816446.808op/s	256720301.725op/s	0.46%	0.968	10.509	0.07%	12256.644op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.305µs	50.564µs ± 0.101µs	50.545µs ± 0.052µs	50.610µs	50.695µs	50.981µs	51.065µs	1.03%	1.902	6.696	0.20%	0.007µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19582818.707op/s	19777058.086op/s ± 39421.664op/s	19784268.539op/s ± 20164.105op/s	19800225.728op/s	19821379.839op/s	19842622.766op/s	19878931.285op/s	0.48%	-1.872	6.552	0.20%	2787.533op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.366µs	45.697µs ± 0.144µs	45.687µs ± 0.109µs	45.805µs	45.928µs	45.957µs	46.007µs	0.70%	-0.045	-0.765	0.31%	0.010µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21735939.304op/s	21883335.099op/s ± 69064.107op/s	21887873.029op/s ± 52215.903op/s	21932865.887op/s	21998356.305op/s	22024053.685op/s	22042751.060op/s	0.71%	0.057	-0.760	0.31%	4883.570op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.429µs	6.437µs ± 0.004µs	6.437µs ± 0.002µs	6.439µs	6.444µs	6.447µs	6.448µs	0.18%	0.402	-0.049	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155076618.727op/s	155349797.886op/s ± 91407.745op/s	155360631.617op/s ± 57614.485op/s	155410295.932op/s	155498498.194op/s	155531006.100op/s	155543675.693op/s	0.12%	-0.399	-0.052	0.06%	6463.504op/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	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255489013.647op/s; 255542550.422op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[76.217µs; 76.422µs] or [-0.134%; +0.134%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[13086477.018op/s; 13121522.450op/s] or [-0.134%; +0.134%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[68.396µs; 68.437µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14612129.068op/s; 14620785.075op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255494294.489op/s; 255538401.821op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[64.932µs; 64.975µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[15390672.199op/s; 15400765.669op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.704µs; 45.741µs] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21862513.029op/s; 21880105.838op/s] or [-0.040%; +0.040%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.436µs; 6.437µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155343654.754op/s; 155366491.006op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.914µs; 3.915µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255459302.026op/s; 255511306.472op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[63.730µs; 63.893µs] or [-0.127%; +0.127%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15652438.652op/s; 15692516.837op/s] or [-0.128%; +0.128%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[54.118µs; 54.143µs] or [-0.023%; +0.023%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18469614.833op/s; 18478069.551op/s] or [-0.023%; +0.023%]	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	[255509492.620op/s; 255557537.781op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.550µs; 50.578µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19771594.622op/s; 19782521.549op/s] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.677µs; 45.717µs] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21873763.478op/s; 21892906.720op/s] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.437µs; 6.438µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155337129.651op/s; 155362466.120op/s] or [-0.008%; +0.008%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	186.120µs	186.539µs ± 0.165µs	186.527µs ± 0.108µs	186.643µs	186.859µs	186.936µs	186.957µs	0.23%	0.386	-0.124	0.09%	0.012µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5348819.235op/s	5360821.503op/s ± 4747.731op/s	5361153.072op/s ± 3097.302op/s	5364012.086op/s	5368034.311op/s	5369583.989op/s	5372878.435op/s	0.22%	-0.382	-0.128	0.09%	335.715op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.873µs	17.978µs ± 0.042µs	17.975µs ± 0.025µs	18.000µs	18.048µs	18.078µs	18.233µs	1.43%	1.238	5.947	0.24%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54845685.442op/s	55624443.264op/s ± 130807.162op/s	55631522.982op/s ± 76630.203op/s	55704653.997op/s	55808456.259op/s	55891952.631op/s	55950921.168op/s	0.57%	-1.193	5.681	0.23%	9249.463op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.622µs	10.742µs ± 0.049µs	10.738µs ± 0.030µs	10.770µs	10.832µs	10.860µs	10.910µs	1.61%	0.458	0.471	0.45%	0.003µs	1	200
normalization/normalize_name/normalize_name/good	throughput	91657755.496op/s	93090724.194op/s ± 420487.725op/s	93130759.827op/s ± 258777.215op/s	93361138.974op/s	93699684.226op/s	93934002.645op/s	94144296.104op/s	1.09%	-0.427	0.428	0.45%	29732.972op/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	[186.516µs; 186.562µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5360163.513op/s; 5361479.493op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.972µs; 17.984µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55606314.649op/s; 55642571.879op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.736µs; 10.749µs] or [-0.063%; +0.063%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[93032448.639op/s; 93148999.748op/s] or [-0.063%; +0.063%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	13.022ms	13.058ms ± 0.016ms	13.056ms ± 0.010ms	13.066ms	13.085ms	13.097ms	13.125ms	0.53%	0.716	1.392	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	[13.055ms; 13.060ms] or [-0.017%; +0.017%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
write only interface	execution_time	1.202µs	3.124µs ± 1.410µs	2.950µs ± 0.034µs	2.985µs	3.318µs	13.550µs	15.077µs	411.10%	7.553	57.557	45.04%	0.100µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.928µs; 3.319µs] or [-6.257%; +6.257%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	2.517µs	2.557µs ± 0.014µs	2.554µs ± 0.007µs	2.565µs	2.582µs	2.589µs	2.589µs	1.38%	0.141	0.468	0.53%	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	[2.555µs; 2.559µs] or [-0.074%; +0.074%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	3.438ms ± 0.031ms	3.429ms ± 0.008ms	3.438ms	3.514ms	3.551ms	3.561ms	3.85%	2.202	4.459	0.90%	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	[3.433ms; 3.442ms] or [-0.125%; +0.125%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	495.534µs	496.475µs ± 1.057µs	496.228µs ± 0.295µs	496.568µs	498.289µs	500.380µs	504.966µs	1.76%	4.146	23.385	0.21%	0.075µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1980332.221op/s	2014208.687op/s ± 4251.462op/s	2015204.607op/s ± 1197.974op/s	2016313.432op/s	2017273.408op/s	2017543.023op/s	2018025.678op/s	0.14%	-4.095	22.773	0.21%	300.624op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	376.814µs	377.965µs ± 0.357µs	377.969µs ± 0.254µs	378.189µs	378.563µs	378.675µs	379.172µs	0.32%	0.204	0.279	0.09%	0.025µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2637325.541op/s	2645750.970op/s ± 2498.241op/s	2645719.623op/s ± 1776.258op/s	2647590.051op/s	2649674.405op/s	2650261.245op/s	2653827.985op/s	0.31%	-0.197	0.276	0.09%	176.652op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.649µs	169.080µs ± 0.155µs	169.059µs ± 0.098µs	169.179µs	169.348µs	169.503µs	169.724µs	0.39%	0.683	1.086	0.09%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5891933.983op/s	5914361.777op/s ± 5414.867op/s	5915082.118op/s ± 3440.200op/s	5918249.228op/s	5921764.022op/s	5923982.102op/s	5929469.921op/s	0.24%	-0.676	1.068	0.09%	382.889op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.825µs	37.021µs ± 0.117µs	37.051µs ± 0.098µs	37.124µs	37.174µs	37.228µs	37.288µs	0.64%	-0.103	-1.423	0.32%	0.008µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26818033.859op/s	27011600.691op/s ± 85452.577op/s	26990137.264op/s ± 71069.677op/s	27105239.176op/s	27131061.630op/s	27141349.256op/s	27155231.008op/s	0.61%	0.109	-1.427	0.32%	6042.410op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.193µs	46.313µs ± 0.124µs	46.305µs ± 0.040µs	46.341µs	46.408µs	46.459µs	47.871µs	3.38%	9.906	121.564	0.27%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20889493.406op/s	21592578.293op/s ± 56508.592op/s	21596160.057op/s ± 18897.624op/s	21615862.211op/s	21632987.710op/s	21643784.543op/s	21648417.537op/s	0.24%	-9.702	118.158	0.26%	3995.761op/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	[496.329µs; 496.622µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2013619.475op/s; 2014797.899op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[377.915µs; 378.014µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2645404.737op/s; 2646097.202op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[169.059µs; 169.102µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5913611.328op/s; 5915112.225op/s] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.005µs; 37.038µs] or [-0.044%; +0.044%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26999757.785op/s; 27023443.596op/s] or [-0.044%; +0.044%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.295µs; 46.330µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21584746.746op/s; 21600409.840op/s] or [-0.036%; +0.036%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	159.885µs	160.649µs ± 0.284µs	160.593µs ± 0.108µs	160.705µs	161.291µs	161.639µs	161.773µs	0.73%	1.520	3.370	0.18%	0.020µs	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	[160.610µs; 160.689µs] 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	`9443d65`	1774013197	dubloom/container-back-propagation

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	4.180ms	4.184ms ± 0.008ms	4.183ms ± 0.001ms	4.184ms	4.187ms	4.190ms	4.287ms	2.49%	12.123	158.818	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	[4.183ms; 4.185ms] or [-0.026%; +0.026%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	144.721µs	146.812µs ± 1.566µs	146.577µs ± 0.473µs	147.100µs	148.628µs	152.044µs	161.066µs	9.88%	5.353	40.417	1.06%	0.111µs	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	[146.595µs; 147.029µs] or [-0.148%; +0.148%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	86.268µs	86.642µs ± 0.143µs	86.631µs ± 0.053µs	86.685µs	86.826µs	87.067µs	87.988µs	1.57%	4.445	38.939	0.16%	0.010µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.622µs; 86.661µs] or [-0.023%; +0.023%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
ip_address/quantize_peer_ip_address_benchmark	execution_time	5.435µs	5.512µs ± 0.044µs	5.523µs ± 0.047µs	5.550µs	5.583µs	5.588µs	5.590µs	1.22%	0.148	-1.286	0.80%	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	[5.506µs; 5.518µs] or [-0.111%; +0.111%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	13.945ms	14.007ms ± 0.029ms	14.003ms ± 0.012ms	14.015ms	14.042ms	14.110ms	14.185ms	1.30%	2.625	11.491	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	[14.003ms; 14.011ms] 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	`9443d65`	1774013197	dubloom/container-back-propagation

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	33.881µs	34.403µs ± 0.926µs	33.967µs ± 0.045µs	34.112µs	36.370µs	36.395µs	38.077µs	12.10%	1.773	1.519	2.69%	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	[34.275µs; 34.532µs] or [-0.373%; +0.373%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	724.317µs	725.763µs ± 0.596µs	725.697µs ± 0.325µs	726.030µs	726.884µs	727.163µs	728.056µs	0.33%	0.460	0.650	0.08%	0.042µs	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	[725.680µs; 725.845µs] or [-0.011%; +0.011%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	48.740ms	48.961ms ± 0.723ms	48.866ms ± 0.040ms	48.905ms	49.077ms	51.252ms	58.111ms	18.92%	10.785	128.625	1.47%	0.051ms	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	[48.861ms; 49.061ms] or [-0.205%; +0.205%]	None	None	None

Group 20

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`9443d65`	1774013197	dubloom/container-back-propagation

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	190.541ns	192.808ns ± 1.826ns	192.727ns ± 1.579ns	194.092ns	196.393ns	197.186ns	198.098ns	2.79%	0.634	-0.407	0.94%	0.129ns	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	[192.555ns; 193.062ns] or [-0.131%; +0.131%]	None	None	None

Baseline

Omitted due to size.

codecov-commenter · 2026-03-12T16:24:14Z

Codecov Report

❌ Patch coverage is 88.17204% with 11 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.28%. Comparing base (c6ef98e) to head (9443d65).
⚠️ Report is 2 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff            @@
##             main    #1700    +/-   ##
========================================
  Coverage   71.28%   71.28%            
========================================
  Files         431      431            
  Lines       64585    64686   +101     
========================================
+ Hits        46038    46114    +76     
- Misses      18547    18572    +25

Components	Coverage Δ
libdd-crashtracker	`64.93% <ø> (ø)`
libdd-crashtracker-ffi	`34.86% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.92% <100.00%> (-0.07%)`	⬇️
libdd-data-pipeline-ffi	`75.20% <ø> (ø)`
libdd-common	`79.87% <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	`80.29% <ø> (ø)`
libdd-profiling	`81.61% <ø> (ø)`
libdd-profiling-ffi	`64.94% <ø> (ø)`
datadog-sidecar	`31.54% <0.00%> (-0.06%)`	⬇️
datdog-sidecar-ffi	`8.64% <0.00%> (-0.08%)`	⬇️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`91.80% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`89.05% <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.

dd-octo-sts · 2026-03-12T16:42:02Z

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	100.37 MB	100.39 MB	+.01% (+11.95 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.28 MB	11.28 MB	+0% (+184 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	117.04 MB	117.06 MB	+.01% (+20.44 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.18 MB	27.19 MB	+.01% (+3.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	77.50 KB	77.50 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	186.12 MB	186.55 MB	+.23% (+440.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.27 MB	917.86 MB	+.06% (+596.46 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.94 MB	9.94 MB	+.01% (+2.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	77.50 KB	77.50 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.78 MB	24.78 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.47 MB	51.48 MB	+.01% (+7.87 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.98 MB	+.01% (+4.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	78.71 KB	78.71 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.29 MB	190.31 MB	+.01% (+24.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.94 MB	901.00 MB	+0% (+61.61 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.54 MB	7.54 MB	+.02% (+2.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	78.71 KB	78.71 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	26.53 MB	+.02% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.09 MB	47.10 MB	+.01% (+8.48 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	87.59 MB	87.60 MB	+.01% (+12.48 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.22 MB	10.23 MB	+.03% (+4.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	109.92 MB	109.94 MB	+.01% (+19.94 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.97 MB	11.97 MB	+0% (+80 B) 👌

bwoebi

Looks right to me.

VianneyRuhlmann

Small discrepancy in the behavior of the old function, otherwise LGTM

libdd-data-pipeline/src/agent_info/fetcher.rs

datadog-datadog-prod-us1 · 2026-03-20T13:39:34Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

🎯 Code Coverage (details)
• Patch Coverage: 88.17%
• Overall Coverage: 71.29%

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

🔗 Commit SHA: 9443d65 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

dubloom · 2026-03-20T14:03:16Z

/merge

gh-worker-devflow-routing-ef8351 · 2026-03-20T14:03:20Z

View all feedbacks in Devflow UI.

2026-03-20 14:03:20 UTC ℹ️ Start processing command /merge

2026-03-20 14:03:24 UTC ℹ️ MergeQueue: pull request added to the queue

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

2026-03-20 14:46:40 UTC ℹ️ MergeQueue: This merge request was merged

…-unprocessed * 'main' of github.com:DataDog/libdatadog: chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) chore(crashtracking): add integration test for errno preservation (#1768) chore(crashtracking): preserve errno for crashtracker (#1767) chore(examples): add compilation flags to prevent logic errors (#1766) feat(agents)!: retrieve container tags hash from /info endpoint (#1700) fix(ci): handle new crate addition in semver-check (#1769) fix(obfuscation/redis): fuzzer fixes [APMSP-2670] (#1694) fix(obfuscation/http)!: fuzzer fixes [APMSP-2670] (#1684) ci: add Datadog code coverage upload (#1718)

# Release proposal for libdd-data-pipeline and its dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-common **Next version:** `3.0.1` **Semver bump:** `patch` **Tag:** `libdd-common-v3.0.1` ### Commits - chore(build): update reqwest and quinn-proto dependency for dependabot alert (#1774) - chore(build): ekump/APMSP-2718 update aws-lc dependencies (#1751) ## libdd-trace-protobuf **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-protobuf-v3.0.0` ### Commits - fix(trace-stats): rename wrongly cased stats fields (#1780) - feat(rc)!: add process_tags to remote config Target (#1586) ## libdd-telemetry **Next version:** `3.1.0` **Semver bump:** `minor` **Tag:** `libdd-telemetry-v3.1.0` ### Commits - refactor(sidecar)!: Refactor tarpc away (#1742) ## libdd-trace-utils **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v3.0.0` ### Commits - fix(trace-stats): rename wrongly cased stats fields (#1780) - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) ## libdd-data-pipeline **Next version:** `3.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v3.0.0` ### Commits - feat(agents)!: retrieve container tags hash from /info endpoint (#1700) - refactor(trace-utils)!: change header name type to accept dynamic values (#1722) --------- Co-authored-by: dd-octo-sts[bot] <200755185+dd-octo-sts[bot]@users.noreply.github.com>

chore(agents): retrieve container tags hash from /info endpoint

59c6d30

github-actions bot added sidecar data-pipeline labels Mar 10, 2026

change function name

87dbf62

clippy fix

51c7f29

dubloom added 2 commits March 17, 2026 10:49

Merge branch 'main' into dubloom/container-back-propagation

fbc3e38

Merge branch 'main' into dubloom/container-back-propagation

7f861d8

dubloom changed the title ~~chore(agents): retrieve container tags hash from /info endpoint~~ feat(agents)!: retrieve container tags hash from /info endpoint Mar 17, 2026

dubloom mentioned this pull request Mar 18, 2026

Adds container tags support for DBM DataDog/dd-trace-php#3708

Merged

dubloom marked this pull request as ready for review March 20, 2026 09:41

dubloom requested review from a team as code owners March 20, 2026 09:41

Merge branch 'main' into dubloom/container-back-propagation

b604973

bwoebi approved these changes Mar 20, 2026

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VianneyRuhlmann reviewed Mar 20, 2026

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vianney review

9443d65

VianneyRuhlmann approved these changes Mar 20, 2026

View reviewed changes

gh-worker-dd-devflow-36fce6 bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: queued labels Mar 20, 2026

gh-worker-dd-mergequeue-cf854d bot merged commit cc4a550 into main Mar 20, 2026
85 checks passed

gh-worker-dd-mergequeue-cf854d bot deleted the dubloom/container-back-propagation branch March 20, 2026 14:46

gh-worker-dd-devflow-36fce6 bot removed the mergequeue-status: in_progress label Mar 20, 2026

gh-worker-dd-devflow-36fce6 bot added the mergequeue-status: done label Mar 20, 2026

dd-octo-sts bot mentioned this pull request Mar 23, 2026

chore(release): proposal for libdd-data-pipeline #1781

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scenario:credit_card/is_card_number/378282246310005

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