chore: implement otel process ctx update by yannham · Pull Request #1640 · DataDog/libdatadog

yannham · 2026-03-02T16:58:52Z

What does this PR do?

This PR implements the missing update sequence of the OTel process context. This allows for modification of an already published OTel process context.

Motivation

This PR is a planned follow-up of #1585, which was knowingly incomplete: it could publish a fresh context, but wouldn't be able to update the context. This PR implements the missing update functionality. See the OTEP spec mentioned above for more information about the general motivation.

Additional Notes

This only part of #1585 follow-ups. In particular, it does not handle forks (where we should publish a new context instead of updating it if there's been a fork since last publication), which is left for a follow-up.

How to test the change?

This PR includes a test for the update sequence. It could also be hooked up in workflow where any reader implementation of the OTEP spec could try to read a published/updated context.

github-actions · 2026-03-02T17:01:53Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/yannham/process-context-update

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`	27	27	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-crashtracker`	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	219	219	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 · 2026-03-02T17:16:40Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-04 14:46:01

Comparing candidate commit 1b08e39 in PR branch yannham/process-context-update with baseline commit 085bdda in branch main.

Found 0 performance improvements and 2 performance regressions! Performance is the same for 55 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number/ 378282246310005

🟥 execution_time [+10.814µs; +10.993µs] or [+14.857%; +15.102%]
🟥 throughput [-1803265.366op/s; -1775665.517op/s] or [-13.126%; -12.925%]

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	`1b08e39`	1772634629	yannham/process-context-update

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	32.703µs	33.447µs ± 1.365µs	32.844µs ± 0.058µs	32.895µs	36.400µs	36.454µs	36.901µs	12.35%	1.705	0.930	4.07%	0.097µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.258µs; 33.636µs] or [-0.566%; +0.566%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	242.033ns	251.198ns ± 13.305ns	243.676ns ± 1.334ns	253.148ns	281.106ns	283.374ns	284.833ns	16.89%	1.409	0.391	5.28%	0.941ns	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	[249.354ns; 253.042ns] or [-0.734%; +0.734%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	13.977ms	14.025ms ± 0.028ms	14.020ms ± 0.011ms	14.032ms	14.072ms	14.144ms	14.182ms	1.15%	2.604	9.193	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	[14.021ms; 14.029ms] 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	`1b08e39`	1772634629	yannham/process-context-update

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	10.650ms	10.677ms ± 0.013ms	10.675ms ± 0.007ms	10.685ms	10.700ms	10.715ms	10.763ms	0.82%	1.733	7.447	0.13%	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	[10.675ms; 10.679ms] or [-0.017%; +0.017%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	533.956µs	534.877µs ± 0.724µs	534.769µs ± 0.278µs	535.067µs	535.537µs	538.236µs	539.875µs	0.95%	3.454	16.443	0.13%	0.051µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1852281.024op/s	1869591.964op/s ± 2518.434op/s	1869966.593op/s ± 973.649op/s	1870869.763op/s	1871948.772op/s	1872628.081op/s	1872813.284op/s	0.15%	-3.428	16.220	0.13%	178.080op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.492µs	381.438µs ± 0.917µs	381.338µs ± 0.229µs	381.573µs	381.990µs	383.023µs	390.166µs	2.32%	7.737	68.381	0.24%	0.065µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2563009.928op/s	2621673.117op/s ± 6187.646op/s	2622345.980op/s ± 1575.215op/s	2623912.485op/s	2625858.797op/s	2626833.009op/s	2628176.752op/s	0.22%	-7.661	67.444	0.24%	437.533op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	190.161µs	190.476µs ± 0.154µs	190.470µs ± 0.104µs	190.565µs	190.766µs	190.873µs	191.180µs	0.37%	0.827	1.644	0.08%	0.011µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5230682.486op/s	5250019.764op/s ± 4250.051op/s	5250175.225op/s ± 2877.129op/s	5253153.332op/s	5256101.773op/s	5257843.556op/s	5258705.382op/s	0.16%	-0.819	1.618	0.08%	300.524op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.375µs	37.537µs ± 0.064µs	37.536µs ± 0.045µs	37.576µs	37.655µs	37.690µs	37.703µs	0.44%	0.187	-0.161	0.17%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26523414.965op/s	26640281.296op/s ± 45528.431op/s	26640806.056op/s ± 31969.947op/s	26672970.804op/s	26710454.004op/s	26730710.487op/s	26755976.417op/s	0.43%	-0.177	-0.166	0.17%	3219.346op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.792µs	45.932µs ± 0.136µs	45.922µs ± 0.033µs	45.956µs	46.018µs	46.080µs	47.643µs	3.75%	10.182	124.431	0.30%	0.010µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20989608.744op/s	21771377.845op/s ± 62533.945op/s	21775886.448op/s ± 15848.558op/s	21791812.404op/s	21815689.806op/s	21832690.587op/s	21837753.740op/s	0.28%	-9.981	120.967	0.29%	4421.818op/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	[534.777µs; 534.977µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1869242.933op/s; 1869940.994op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.311µs; 381.565µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2620815.568op/s; 2622530.665op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.454µs; 190.497µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5249430.748op/s; 5250608.781op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.528µs; 37.546µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26633971.493op/s; 26646591.099op/s] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.913µs; 45.951µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21762711.242op/s; 21780044.448op/s] or [-0.040%; +0.040%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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/2597	execution_time	3.152ms	3.182ms ± 0.017ms	3.178ms ± 0.009ms	3.188ms	3.219ms	3.233ms	3.261ms	2.61%	1.354	2.431	0.55%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
receiver_entry_point/report/2597	execution_time	[3.180ms; 3.185ms] or [-0.076%; +0.076%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	160.638µs	161.813µs ± 0.347µs	161.809µs ± 0.156µs	161.953µs	162.211µs	162.860µs	164.649µs	1.76%	2.766	22.539	0.21%	0.025µs	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	[161.765µs; 161.861µs] or [-0.030%; +0.030%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	726.149µs	727.607µs ± 0.683µs	727.515µs ± 0.409µs	727.990µs	728.626µs	729.518µs	731.585µs	0.56%	1.412	5.526	0.09%	0.048µs	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	[727.513µs; 727.702µs] or [-0.013%; +0.013%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	90.186µs	90.483µs ± 0.219µs	90.411µs ± 0.120µs	90.625µs	90.849µs	90.985µs	91.912µs	1.66%	1.833	7.713	0.24%	0.015µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[90.453µs; 90.513µs] or [-0.033%; +0.033%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	3.890µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.913µs	3.916µs	3.918µs	3.921µs	0.24%	-1.783	13.468	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255017598.408op/s	255637582.214op/s ± 192376.924op/s	255631605.765op/s ± 103809.832op/s	255734594.498op/s	255915630.724op/s	255974911.688op/s	257053722.016op/s	0.56%	1.811	13.692	0.08%	13603.103op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.884µs	79.702µs ± 0.380µs	79.655µs ± 0.279µs	79.990µs	80.385µs	80.635µs	80.924µs	1.59%	0.474	-0.335	0.48%	0.027µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12357216.531op/s	12546999.601op/s ± 59731.737op/s	12554145.444op/s ± 43969.686op/s	12596197.838op/s	12629496.194op/s	12647503.253op/s	12676913.369op/s	0.98%	-0.454	-0.366	0.47%	4223.672op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	82.576µs	83.696µs ± 0.566µs	83.654µs ± 0.422µs	84.102µs	84.637µs	85.063µs	85.457µs	2.16%	0.417	-0.183	0.67%	0.040µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	11701724.220op/s	11948591.947op/s ± 80603.431op/s	11953990.287op/s ± 60266.924op/s	12010232.771op/s	12066784.652op/s	12101969.098op/s	12110051.302op/s	1.31%	-0.384	-0.229	0.67%	5699.523op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.912µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.919µs	3.921µs	0.21%	-0.956	6.530	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255065433.864op/s	255601153.611op/s ± 190418.531op/s	255603041.677op/s ± 112429.982op/s	255711164.036op/s	255887684.303op/s	255947424.835op/s	256788416.793op/s	0.46%	0.973	6.635	0.07%	13464.623op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.106µs	69.690µs ± 0.359µs	69.637µs ± 0.231µs	69.883µs	70.441µs	70.639µs	70.967µs	1.91%	0.964	0.722	0.51%	0.025µs	1	200
credit_card/is_card_number/378282246310005	throughput	14091019.177op/s	14349566.801op/s ± 73627.695op/s	14360140.735op/s ± 47648.557op/s	14403909.235op/s	14440501.866op/s	14453606.742op/s	14470439.204op/s	0.77%	-0.937	0.642	0.51%	5206.264op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.142µs	52.224µs ± 0.039µs	52.223µs ± 0.029µs	52.250µs	52.286µs	52.308µs	52.334µs	0.21%	0.169	-0.357	0.07%	0.003µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19108209.892op/s	19148163.075op/s ± 14116.430op/s	19148614.693op/s ± 10472.089op/s	19159138.348op/s	19170969.401op/s	19176695.119op/s	19178326.573op/s	0.16%	-0.166	-0.360	0.07%	998.182op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.028µs	6.039µs ± 0.013µs	6.036µs ± 0.003µs	6.039µs	6.072µs	6.078µs	6.113µs	1.28%	3.176	11.386	0.21%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163584604.950op/s	165587732.790op/s ± 347070.561op/s	165682029.178op/s ± 85729.921op/s	165754259.208op/s	165826610.355op/s	165880846.724op/s	165890075.386op/s	0.13%	-3.155	11.208	0.21%	24541.595op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.914µs	3.917µs	3.919µs	3.920µs	0.20%	-1.163	8.442	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255088771.392op/s	255582213.770op/s ± 190738.746op/s	255586707.812op/s ± 118270.934op/s	255698332.412op/s	255824647.875op/s	255961874.503op/s	256848919.154op/s	0.49%	1.184	8.586	0.07%	13487.266op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.180µs	64.456µs ± 0.137µs	64.443µs ± 0.089µs	64.540µs	64.710µs	64.781µs	64.827µs	0.60%	0.388	-0.285	0.21%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15425607.339op/s	15514432.025op/s ± 32958.459op/s	15517492.754op/s ± 21317.130op/s	15535661.009op/s	15562465.358op/s	15576475.495op/s	15581299.325op/s	0.41%	-0.379	-0.295	0.21%	2330.515op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	57.808µs	58.078µs ± 0.191µs	58.025µs ± 0.105µs	58.169µs	58.430µs	58.688µs	58.745µs	1.24%	1.185	1.330	0.33%	0.014µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17022644.939op/s	17218404.000op/s ± 56428.811op/s	17233946.604op/s ± 31007.308op/s	17261147.315op/s	17286229.101op/s	17294720.354op/s	17298553.841op/s	0.37%	-1.166	1.267	0.33%	3990.120op/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	3.918µs	3.921µs	3.921µs	0.21%	-0.644	4.394	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255016293.206op/s	255541768.420op/s ± 204174.248op/s	255554728.480op/s ± 129530.712op/s	255673838.625op/s	255832468.606op/s	255919191.119op/s	256714319.848op/s	0.45%	0.659	4.471	0.08%	14437.300op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.568µs	54.983µs ± 0.284µs	54.942µs ± 0.213µs	55.148µs	55.502µs	55.834µs	55.935µs	1.81%	0.883	0.561	0.52%	0.020µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17877871.154op/s	18187787.228op/s ± 93594.618op/s	18201023.844op/s ± 70764.193op/s	18272794.765op/s	18300323.129op/s	18317203.159op/s	18325736.544op/s	0.69%	-0.855	0.483	0.51%	6618.139op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.151µs	52.227µs ± 0.040µs	52.223µs ± 0.028µs	52.254µs	52.310µs	52.337µs	52.387µs	0.31%	0.752	0.937	0.08%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19088669.155op/s	19147106.562op/s ± 14833.713op/s	19148618.512op/s ± 10177.624op/s	19158332.065op/s	19168679.148op/s	19171847.678op/s	19175147.092op/s	0.14%	-0.746	0.922	0.08%	1048.902op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.028µs	6.036µs ± 0.008µs	6.034µs ± 0.003µs	6.038µs	6.046µs	6.073µs	6.080µs	0.75%	3.512	14.568	0.13%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	164480284.019op/s	165668656.490op/s ± 212001.822op/s	165714500.434op/s ± 75012.950op/s	165784194.529op/s	165838351.172op/s	165868120.182op/s	165885854.504op/s	0.10%	-3.496	14.455	0.13%	14990.793op/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	[3.911µs; 3.912µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255610920.622op/s; 255664243.805op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.649µs; 79.755µs] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12538721.357op/s; 12555277.845op/s] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[83.617µs; 83.774µs] or [-0.094%; +0.094%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[11937421.086op/s; 11959762.807op/s] or [-0.093%; +0.093%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255574763.434op/s; 255627543.788op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.641µs; 69.740µs] or [-0.071%; +0.071%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14339362.710op/s; 14359770.891op/s] or [-0.071%; +0.071%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.219µs; 52.230µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19146206.674op/s; 19150119.477op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.037µs; 6.041µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165539632.148op/s; 165635833.431op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255555779.215op/s; 255608648.326op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.437µs; 64.475µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15509864.300op/s; 15518999.750op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.052µs; 58.104µs] or [-0.046%; +0.046%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17210583.510op/s; 17226224.491op/s] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255513471.833op/s; 255570065.007op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.944µs; 55.023µs] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18174815.914op/s; 18200758.542op/s] or [-0.071%; +0.071%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.222µs; 52.233µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19145050.752op/s; 19149162.372op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.035µs; 6.037µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165639275.077op/s; 165698037.904op/s] or [-0.018%; +0.018%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
single_flag_killswitch/rules-based	execution_time	189.292ns	191.694ns ± 1.925ns	191.543ns ± 1.308ns	192.685ns	195.187ns	197.328ns	201.406ns	5.15%	1.372	3.161	1.00%	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	[191.427ns; 191.961ns] or [-0.139%; +0.139%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	48.448ms	48.790ms ± 1.056ms	48.632ms ± 0.088ms	48.773ms	48.915ms	51.416ms	61.639ms	26.75%	10.135	113.355	2.16%	0.075ms	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	[48.644ms; 48.936ms] or [-0.300%; +0.300%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	4.956µs	5.029µs ± 0.049µs	5.012µs ± 0.025µs	5.041µs	5.116µs	5.119µs	5.122µs	2.19%	0.780	-0.773	0.98%	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	[5.022µs; 5.036µs] or [-0.136%; +0.136%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	17.792µs	25.749µs ± 9.480µs	18.292µs ± 0.312µs	34.042µs	43.062µs	45.912µs	69.056µs	277.52%	0.949	0.652	36.72%	0.670µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.435µs; 27.063µs] or [-5.102%; +5.102%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	185.374µs	185.920µs ± 0.272µs	185.932µs ± 0.230µs	186.155µs	186.300µs	186.455µs	186.761µs	0.45%	0.038	-0.801	0.15%	0.019µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5354434.804op/s	5378664.828op/s ± 7865.404op/s	5378299.864op/s ± 6651.096op/s	5385005.332op/s	5390947.177op/s	5392366.089op/s	5394502.678op/s	0.30%	-0.033	-0.807	0.15%	556.168op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.892µs	17.946µs ± 0.028µs	17.944µs ± 0.017µs	17.963µs	17.996µs	18.020µs	18.057µs	0.63%	0.733	0.940	0.16%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55379463.340op/s	55724019.080op/s ± 86562.660op/s	55730278.576op/s ± 54235.690op/s	55783330.981op/s	55852563.701op/s	55878276.608op/s	55890323.459op/s	0.29%	-0.722	0.910	0.15%	6120.904op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.270µs	10.386µs ± 0.053µs	10.378µs ± 0.034µs	10.418µs	10.486µs	10.522µs	10.577µs	1.92%	0.660	0.512	0.51%	0.004µs	1	200
normalization/normalize_name/normalize_name/good	throughput	94543886.628op/s	96287920.791op/s ± 488368.828op/s	96356624.642op/s ± 313547.430op/s	96637544.238op/s	96992091.671op/s	97140258.056op/s	97375580.565op/s	1.06%	-0.629	0.450	0.51%	34532.891op/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	[185.882µs; 185.958µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5377574.758op/s; 5379754.897op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.942µs; 17.949µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55712022.328op/s; 55736015.832op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.378µs; 10.393µs] or [-0.071%; +0.071%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[96220237.568op/s; 96355604.014op/s] or [-0.070%; +0.070%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	143.659µs	146.015µs ± 1.905µs	145.765µs ± 0.586µs	146.373µs	147.257µs	152.318µs	165.340µs	13.43%	6.521	57.342	1.30%	0.135µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sdk_test_data/rules-based	execution_time	[145.751µs; 146.279µs] or [-0.181%; +0.181%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	4.203ms	4.212ms ± 0.008ms	4.212ms ± 0.003ms	4.215ms	4.217ms	4.220ms	4.309ms	2.30%	8.913	106.725	0.19%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.211ms; 4.213ms] or [-0.026%; +0.026%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	1.209µs	3.207µs ± 1.421µs	3.003µs ± 0.025µs	3.028µs	3.662µs	13.880µs	14.779µs	392.14%	7.374	55.455	44.19%	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	[3.010µs; 3.404µs] or [-6.140%; +6.140%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`1b08e39`	1772634629	yannham/process-context-update

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	2.363µs	2.410µs ± 0.020µs	2.404µs ± 0.009µs	2.422µs	2.450µs	2.462µs	2.467µs	2.61%	0.818	0.405	0.82%	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	[2.407µs; 2.412µs] or [-0.114%; +0.114%]	None	None	None

Baseline

Omitted due to size.

codecov-commenter · 2026-03-02T17:25:21Z

Codecov Report

❌ Patch coverage is 88.67925% with 6 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.24%. Comparing base (085bdda) to head (1b08e39).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1640      +/-   ##
==========================================
+ Coverage   71.19%   71.24%   +0.04%     
==========================================
  Files         425      425              
  Lines       62666    62705      +39     
==========================================
+ Hits        44615    44673      +58     
+ Misses      18051    18032      -19

Components	Coverage Δ
libdd-crashtracker	`63.04% <ø> (-0.02%)`	⬇️
libdd-crashtracker-ffi	`15.63% <ø> (ø)`
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`87.38% <ø> (ø)`
libdd-data-pipeline-ffi	`72.83% <ø> (ø)`
libdd-common	`79.73% <ø> (ø)`
libdd-common-ffi	`73.40% <ø> (ø)`
libdd-telemetry	`62.48% <ø> (ø)`
libdd-telemetry-ffi	`16.75% <ø> (ø)`
libdd-dogstatsd-client	`82.64% <ø> (ø)`
datadog-ipc	`80.74% <ø> (ø)`
libdd-profiling	`81.60% <ø> (+0.01%)`	⬆️
libdd-profiling-ffi	`63.65% <ø> (ø)`
datadog-sidecar	`33.45% <ø> (ø)`
datdog-sidecar-ffi	`12.41% <ø> (ø)`
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`94.67% <ø> (ø)`
libdd-trace-protobuf	`68.00% <ø> (ø)`
libdd-trace-utils	`88.97% <ø> (ø)`
datadog-tracer-flare	`90.45% <ø> (ø)`
libdd-log	`74.69% <ø> (ø)`

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

dd-octo-sts · 2026-03-02T17:36:33Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	97.30 MB	97.30 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.51 MB	8.51 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.12 MB	11.12 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	112.92 MB	112.92 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.16 MB	27.16 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	76.26 KB	76.26 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	185.98 MB	185.96 MB	-0% (-16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	916.65 MB	916.65 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.93 MB	9.93 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	76.26 KB	76.26 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	24.76 MB	24.76 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.43 MB	51.43 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	22.97 MB	22.97 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.44 KB	77.44 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.13 MB	190.15 MB	+0% (+16.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.31 MB	900.31 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.53 MB	7.53 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.44 KB	77.44 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	26.52 MB	26.52 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	47.06 MB	47.06 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	85.27 MB	85.27 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.04 MB	10.04 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	105.90 MB	105.90 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.79 MB	11.79 MB	0% (0 B) 👌

libdd-library-config/src/otel_process_ctx.rs

datadog-datadog-prod-us1-2 · 2026-03-03T16:54:12Z

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

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

🔗 Commit SHA: 1b08e39 | Docs | Datadog PR Page | Was this helpful? React with 👍/👎 or give us feedback!}

ivoanjo

👍 Left a few notes/questions but overall it LGTM, excited for the next parts!

libdd-library-config/src/otel_process_ctx.rs

Co-authored-by: Björn Antonsson <bjorn.antonsson@datadoghq.com>

Replace the separate `publish_then_read_context` and `update_process_context` tests with a single `publish_then_update_process_context` test that checks all header fields (signature, version, payload size, timestamp, payload content) after the initial publish of `payload_v1`, then again after the update to `payload_v2`. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Replace the hand-rolled `TEST_SERIALIZER: Mutex<()>` with the `#[serial_test::serial]` attribute applied at the module level, which is the established pattern already used by other crates in this repo. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Depends #1640 # What does this PR do? This PR is a follow up of #1585 and #1640 which implement OTel process context publication. It adds a proper handling of the case of publishing a new context after a `fork`. # Motivation Some language runtimes (e.g. Python or Ruby) resorts to `fork`. In this case, the OTel process context of the child must be re-published (the process context of the parent is explicitly NOT inherited through `MADVISE_DONTFORK`). However, since they share the same copy of the static handler, prior to this PR, the publication would try to access the non-inherited mapping, potentially causing a crash. This PR properly handles this case by storing the PID of the publisher, so that upon update, we can detect if there's been a fork since (and we are a child), in which case we can re-create a mapping from scratch. # How to test the change? There is currently no test, because having tests that `fork` is not trivial to set up in the current Rust test framework (it is admittedly possible, but is a larger question that should be treated separately IMHO). However, two follow-up PRs are coming with an FFI and libdatadog-side protobuf encoding of the payload, which will make it possible to test the fork behavior e.g. from Ruby, once they land. Co-authored-by: yann.hamdaoui <yann.hamdaoui@datadoghq.com>

Depends #1650 # What does this PR do? Follow-up of #1585 #1640 #1650 Adds the protobuf definition for the OTel process context and associated messages, and make the interface of the publisher higher-level by taking the new structured `ProcessContext` value instead of a raw bytes payload. # Motivation Since libdatadog is already taking care of some protobuf encoding, and it's supposedly faster and simpler to do here rather than on the side of each language runtime, it makes sense to offer an interface with a struct that is encoded by libdatadog. The process context will be a `ProcessContext`-based opaque pointer on the FFI side, with proper setters/getters. # Additional Notes I was not sure where to put the protobuf definition, as there are a bunch of protobuf-dedicated crates in libdatadog. I feel like the OTel process context is about tracing metadata, but I'm happy to move it elsewhere if it makes more sense. # How to test the change? Once the FFI lands, we'll be able to publish the context from a language runtime and check the whole process end-to-end. For now, I feel like an additional test would mostly test `prost`, which isn't very valuable. Co-authored-by: yann.hamdaoui <yann.hamdaoui@datadoghq.com>

# What does this PR do? [feat: process context publication](#1585) [ci: pass macos label to downstream project](#1647) [chore: implement otel process ctx update](#1640) [chore(crashtracking): emit a best effort stacktrace for Mac](#1645) [ci: remove depth so it can cause problems when getting the diffs](#1657) [build(macOS): set the LC_ID_DYLIB for mac binaries to set correct name for linking](#1646) [chore(ci): fix crashtracker receiver binary rpath setting](#1652) [chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7](#1654) [feat: otel process ctxt protobuf encoding](#1651) [chore(crashtracker): fix benchmark job](#1664) # Motivation What inspired you to submit this pull request? # Additional Notes Anything else we should know when reviewing? # How to test the change? Describe here in detail how the change can be validated. Co-authored-by: gyuheon.oh <gyuheon.oh@datadoghq.com>

yannham requested a review from a team as a code owner March 2, 2026 16:58

yannham requested review from mabdinur and removed request for a team March 2, 2026 16:58

yannham force-pushed the yannham/process-context-update branch from d47aa19 to 9f7f1ff Compare March 2, 2026 16:59

yannham requested review from a team and ivoanjo March 2, 2026 16:59

yannham changed the title ~~feat: implement otel process ctx update~~ chore: implement otel process ctx update Mar 2, 2026

yannham force-pushed the yannham/process-context-update branch 2 times, most recently from 921f74c to 03052b6 Compare March 3, 2026 10:05