fix(rc): avoid depending on the crypto nodejs API for remote config by bwoebi · Pull Request #2407 · DataDog/libdatadog

bwoebi · 2026-08-24T19:35:13Z

The js feature from the uuid crate pulls that in, so drop it and work around it.

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datadog-datadog-us1-prod · 2026-08-24T19:38:58Z

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 84.62%
• Overall Coverage: 76.58% (-0.06%)

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

🔗 Commit SHA: 894704d | Docs | View more details | Give us feedback!}

datadog-datadog-us1-prod

The replacement still enables the JavaScript crypto backend on wasm32. An entropy failure also gives all fetchers the same UUID.

_{Open Bits AI session}

_{🤖 Datadog Autotest · Commit 2e70376 · What is Autotest? · @DataDog review to ask questions · Any feedback? Reach out in #autotest}

pr-commenter · 2026-08-24T19:46:15Z

Benchmarks

Comparison

Benchmark execution time: 2026-08-24 20:06:58

Comparing candidate commit 894704d in PR branch bob/rc-node with baseline commit 394c7e2 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 14 metrics, 0 unstable metrics.

Explanation

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

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

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

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

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

More details about the CI and significant changes

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

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

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

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

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

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

Candidate

Candidate benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`894704d`	1787601374	bob/rc-node

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	156.844ns	160.218ns ± 2.454ns	159.884ns ± 1.547ns	161.519ns	164.041ns	168.700ns	171.097ns	7.01%	1.310	2.712	1.53%	0.174ns	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	[159.878ns; 160.558ns] or [-0.212%; +0.212%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`894704d`	1787601374	bob/rc-node

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	21.888ms	22.107ms ± 0.097ms	22.104ms ± 0.070ms	22.184ms	22.255ms	22.305ms	22.339ms	1.06%	-0.077	-0.613	0.44%	0.007ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	111911.184op/s	113087.885op/s ± 494.113op/s	113101.341op/s ± 360.424op/s	113447.062op/s	113995.299op/s	114102.514op/s	114218.131op/s	0.99%	0.095	-0.609	0.44%	34.939op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	102.516ms	102.852ms ± 0.401ms	102.823ms ± 0.023ms	102.846ms	102.889ms	102.939ms	108.402ms	5.43%	13.382	182.435	0.39%	0.028ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9224.940op/s	9722.888op/s ± 36.036op/s	9725.465op/s ± 2.152op/s	9727.609op/s	9731.125op/s	9736.484op/s	9754.541op/s	0.30%	-13.319	181.210	0.37%	2.548op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	595.173µs	596.542µs ± 0.902µs	596.366µs ± 0.604µs	597.026µs	598.337µs	598.782µs	599.092µs	0.46%	0.772	-0.127	0.15%	0.064µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	166919.298op/s	167633.177op/s ± 253.219op/s	167682.122op/s ± 170.042op/s	167833.383op/s	167952.654op/s	168009.698op/s	168018.498op/s	0.20%	-0.766	-0.137	0.15%	17.905op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	[22.094ms; 22.121ms] or [-0.061%; +0.061%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[113019.406op/s; 113156.364op/s] or [-0.061%; +0.061%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[102.796ms; 102.907ms] or [-0.054%; +0.054%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[9717.894op/s; 9727.883op/s] or [-0.051%; +0.051%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[596.417µs; 596.667µs] or [-0.021%; +0.021%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[167598.083op/s; 167668.270op/s] or [-0.021%; +0.021%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`894704d`	1787601374	bob/rc-node

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	142.230µs	145.333µs ± 5.696µs	144.180µs ± 0.755µs	145.030µs	150.304µs	167.674µs	204.762µs	42.02%	7.291	64.673	3.91%	0.403µs	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	[144.543µs; 146.122µs] or [-0.543%; +0.543%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`894704d`	1787601374	bob/rc-node

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	5.368ms	5.390ms ± 0.007ms	5.389ms ± 0.005ms	5.395ms	5.402ms	5.405ms	5.407ms	0.33%	0.088	-0.145	0.13%	0.000ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	462372.902op/s	463836.011op/s ± 602.440op/s	463907.078op/s ± 394.449op/s	464220.948op/s	464797.273op/s	465145.775op/s	465685.585op/s	0.38%	-0.081	-0.141	0.13%	42.599op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.955ms	8.000ms ± 0.014ms	7.999ms ± 0.006ms	8.006ms	8.024ms	8.042ms	8.057ms	0.72%	0.513	2.894	0.17%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124117.165op/s	124995.434op/s ± 214.116op/s	125015.221op/s ± 95.524op/s	125094.262op/s	125314.708op/s	125586.235op/s	125702.641op/s	0.55%	-0.489	2.864	0.17%	15.140op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	180.270µs	182.693µs ± 0.445µs	182.610µs ± 0.211µs	182.890µs	183.423µs	184.088µs	184.475µs	1.02%	-0.106	7.105	0.24%	0.031µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	542080.342op/s	547369.079op/s ± 1332.376op/s	547615.501op/s ± 634.742op/s	548161.680op/s	548617.336op/s	548879.886op/s	554724.701op/s	1.30%	0.173	7.309	0.24%	94.213op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	[5.389ms; 5.391ms] or [-0.018%; +0.018%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[463752.519op/s; 463919.504op/s] or [-0.018%; +0.018%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.998ms; 8.002ms] or [-0.024%; +0.024%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[124965.759op/s; 125025.108op/s] or [-0.024%; +0.024%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[182.632µs; 182.755µs] or [-0.034%; +0.034%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[547184.425op/s; 547553.734op/s] or [-0.034%; +0.034%]	None	None	None

Baseline

Baseline benchmark details

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`394c7e2`	1787579018	main

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	157.096ns	160.064ns ± 2.556ns	159.574ns ± 1.300ns	160.863ns	164.533ns	168.777ns	172.850ns	8.32%	1.749	4.331	1.59%	0.181ns	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	[159.709ns; 160.418ns] or [-0.221%; +0.221%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`394c7e2`	1787579018	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	21.867ms	21.932ms ± 0.023ms	21.930ms ± 0.013ms	21.943ms	21.973ms	22.002ms	22.069ms	0.63%	1.413	5.793	0.11%	0.002ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	113281.620op/s	113987.287op/s ± 121.060op/s	113998.903op/s ± 65.917op/s	114064.371op/s	114140.519op/s	114198.447op/s	114329.682op/s	0.29%	-1.395	5.689	0.11%	8.560op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	102.632ms	103.383ms ± 0.487ms	103.348ms ± 0.188ms	103.526ms	103.927ms	104.046ms	108.974ms	5.44%	7.611	84.900	0.47%	0.034ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9176.528op/s	9672.965op/s ± 44.049op/s	9676.014op/s ± 17.645op/s	9695.323op/s	9711.331op/s	9736.656op/s	9743.585op/s	0.70%	-7.209	78.851	0.45%	3.115op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	602.304µs	603.569µs ± 0.531µs	603.532µs ± 0.310µs	603.823µs	604.488µs	605.549µs	605.776µs	0.37%	1.137	2.722	0.09%	0.038µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	165077.487op/s	165681.187op/s ± 145.748op/s	165691.414op/s ± 85.036op/s	165780.070op/s	165864.841op/s	165961.271op/s	166029.095op/s	0.20%	-1.128	2.690	0.09%	10.306op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	execution_time	[21.929ms; 21.936ms] or [-0.015%; +0.015%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[113970.510op/s; 114004.065op/s] or [-0.015%; +0.015%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[103.316ms; 103.451ms] or [-0.065%; +0.065%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[9666.861op/s; 9679.070op/s] or [-0.063%; +0.063%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[603.496µs; 603.643µs] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[165660.987op/s; 165701.386op/s] or [-0.012%; +0.012%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`394c7e2`	1787579018	main

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	147.252µs	150.637µs ± 5.589µs	149.444µs ± 0.701µs	150.407µs	155.951µs	173.333µs	209.179µs	39.97%	7.290	64.999	3.70%	0.395µs	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	[149.863µs; 151.412µs] or [-0.514%; +0.514%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`394c7e2`	1787579018	main

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	5.388ms	5.406ms ± 0.017ms	5.405ms ± 0.004ms	5.410ms	5.419ms	5.432ms	5.619ms	3.96%	10.166	125.779	0.31%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	444889.670op/s	462411.455op/s ± 1397.598op/s	462499.361op/s ± 380.759op/s	462919.248op/s	463542.255op/s	463751.907op/s	463982.801op/s	0.32%	-9.938	121.942	0.30%	98.825op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.987ms	8.001ms ± 0.007ms	8.001ms ± 0.003ms	8.004ms	8.011ms	8.025ms	8.040ms	0.49%	1.802	8.021	0.09%	0.000ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124382.168op/s	124981.306op/s ± 108.162op/s	124989.407op/s ± 53.397op/s	125035.823op/s	125124.637op/s	125202.178op/s	125209.293op/s	0.18%	-1.784	7.922	0.09%	7.648op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	180.986µs	187.261µs ± 52.571µs	183.478µs ± 0.218µs	183.724µs	184.507µs	184.799µs	926.980µs	405.23%	14.034	194.972	28.00%	3.717µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	107877.251op/s	542647.954op/s ± 30930.165op/s	545025.762op/s ± 647.369op/s	545609.057op/s	546214.839op/s	550115.017op/s	552528.925op/s	1.38%	-13.991	194.168	5.69%	2187.093op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	execution_time	[5.404ms; 5.409ms] or [-0.043%; +0.043%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[462217.761op/s; 462605.148op/s] or [-0.042%; +0.042%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[8.000ms; 8.002ms] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[124966.316op/s; 124996.297op/s] or [-0.012%; +0.012%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[179.975µs; 194.547µs] or [-3.891%; +3.891%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[538361.331op/s; 546934.578op/s] or [-0.790%; +0.790%]	None	None	None

datadog-datadog-us1-prod

An entropy error leaves the UUID buffer at zero. Each affected fetcher can then use the same fixed ID, although the code requires each ID to be unique.

_{Open Bits AI session}

_{🤖 Datadog Autotest · Commit 56098da · What is Autotest? · @DataDog review to ask questions · Any feedback? Reach out in #autotest}

The js feature from the uuid crate pulls that in, so drop it and work around it.

bwoebi · 2026-08-24T20:11:48Z

/merge

gh-worker-devflow-routing-ef8351 · 2026-08-24T20:11:54Z

View all feedbacks in Devflow UI.

2026-08-24 20:11:54 UTC ℹ️ Start processing command /merge

2026-08-24 20:12:00 UTC ℹ️ MergeQueue: Pull request is not mergeable yet

It will be processed automatically as soon as GitHub reports it as mergeable. View in MergeQueue UI.

Run /code blockers to see what is blocking it.
Run /remove to cancel it.

2026-08-24 20:29:09 UTC ℹ️ MergeQueue: merge request added to the queue

The expected merge time in main is approximately 60m (p90).

2026-08-24 21:15:04 UTC ℹ️ MergeQueue: This merge request was merged

dd-octo-sts · 2026-08-24T20:27:54Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.26 MB	8.26 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	89.52 MB	89.52 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	100.70 MB	100.70 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.06 MB	11.06 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	26.64 MB	26.64 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	94.96 KB	94.96 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	180.73 MB	180.73 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	772.85 MB	772.85 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	8.73 MB	8.73 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	94.96 KB	94.96 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	25.65 MB	25.65 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.09 MB	51.09 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.22 MB	23.22 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	96.45 KB	96.45 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	185.66 MB	185.64 MB	--.01% (-24.00 KB) 💪
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	759.09 MB	759.09 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.74 MB	6.74 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	96.45 KB	96.45 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	27.59 MB	27.59 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	48.62 MB	48.62 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	79.78 MB	79.78 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.16 MB	9.16 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	95.42 MB	95.42 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.17 MB	11.17 MB	0% (0 B) 👌

…ker, libdd-data-pipeline, li... (#2409) # Release proposal for libdd-capabilities-impl, libdd-crashtracker, libdd-data-pipeline, libdd-http-client, libdd-ipc, libdd-library-config, libdd-otel-thread-ctx, libdd-remote-config, libdd-shared-runtime, libdd-telemetry, libdd-tracer-flare and their dependencies This PR contains version bumps based on public API changes and commits since last release. ## libdd-gotter **Next version:** `1.1.0` **Semver bump:** `minor` **Tag:** `libdd-gotter-v1.1.0` ### Commits - fix(crashtracker): fix vdso recognition during GOT patching on musl (#2379) ## libdd-ipc-macros **Next version:** `1.0.0` **Semver bump:** `major` **Tag:** `libdd-ipc-macros-v1.0.0` **Warning:** this is an initial release. Please verify that the version and commits included are correct. ## libdd-trace-protobuf **Next version:** `5.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-protobuf-v5.0.0` ### Commits - chore(trace-protobuf)!: sync span.proto with datadog-agent (#2356) ## libdd-library-config **Next version:** `4.0.0` **Semver bump:** `major` **Tag:** `libdd-library-config-v4.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.0 → ^5.0.0 ### Commits - fix(library-config): omit absent process context attributes (#2337) - refactor: migrate to workspace dependencies, phase 4 (#2296) - refactor: migrate to workspace dependencies, phase 3 (#2283) - refactor: consolidate core dependencies at workspace level (phase 1) (#2253) - fix(library-config): update Linux process context (#2237) - refactor(library-config): reorganize Linux process context (#2228) - feat(library-config): otel process context reader (#2176) ## libdd-remote-config **Next version:** `4.0.0` **Semver bump:** `major` **Tag:** `libdd-remote-config-v4.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 ### Commits - feat(rc): add overrides for RC config/director roots (#2404) - fix(rc): avoid depending on the crypto nodejs API for remote config (#2407) - fix(rc)!: fixup rc to be wasm compatible (#2393) - feat: Revert vendoring of tuf-rust (#2365), use new crates.io package (#2374) - feat(agentless)!: vendor rust-tuf crate in libdatadog for release (#2365) - chore(rc)!: add DEBUG product (#2306) - feat(remote-config)!: agentless RC fetcher (#2112) ## libdd-trace-utils **Next version:** `11.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-utils-v11.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 ### Commits - feat(compression): use zrip for wasm targets (#2386) - fix(trace-utils)!: fix forward compatibility for string streaming (#2295) ## libdd-tracer-flare **Next version:** `2.0.0` **Semver bump:** `major` **Tag:** `libdd-tracer-flare-v2.0.0` ### ⚠️ major bump forced due to: - `libdd-remote-config`: ^3.0.0 → ^4.0.0 - `libdd-trace-utils`: ^10.0.0 → ^11.0.0 ### Commits - feat(remote-config)!: agentless RC fetcher (#2112) ## libdd-crashtracker **Next version:** `2.0.1` **Semver bump:** `patch` **Tag:** `libdd-crashtracker-v2.0.1` ### Commits - fix(crashtracker): hold the collector connection open through symbolization (#2384) - fix(crashtracking): stop resolving thread symbols with libunwind in the receiver (#2361) ## libdd-data-pipeline **Next version:** `9.0.0` **Semver bump:** `major` **Tag:** `libdd-data-pipeline-v9.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 - `libdd-trace-utils`: ^10.1.0 → ^11.0.0 ### Commits - feat(compression): use zrip for wasm targets (#2386) ## libdd-ipc **Next version:** `1.0.0` **Semver bump:** `major` **Tag:** `libdd-ipc-v1.0.0` **Warning:** this is an initial release. Please verify that the version and commits included are correct. ## libdd-trace-normalization **Next version:** `4.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-normalization-v4.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 ## libdd-trace-obfuscation **Next version:** `7.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-obfuscation-v7.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 - `libdd-trace-utils`: ^10.1.0 → ^11.0.0 ## libdd-trace-stats **Next version:** `8.0.0` **Semver bump:** `major` **Tag:** `libdd-trace-stats-v8.0.0` ### ⚠️ major bump forced due to: - `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0 - `libdd-trace-utils`: ^10.1.0 → ^11.0.0 --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: hoolioh <107922352+hoolioh@users.noreply.github.com>

bwoebi requested review from a team as code owners August 24, 2026 19:35

chatgpt-codex-connector Bot reviewed Aug 24, 2026

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Comment thread libdd-remote-config/src/fetch/mod.rs

datadog-datadog-us1-prod Bot reviewed Aug 24, 2026

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Comment thread libdd-remote-config/Cargo.toml

Comment thread libdd-remote-config/src/fetch/mod.rs

bwoebi force-pushed the bob/rc-node branch from 2e70376 to 56098da Compare August 24, 2026 19:48

bwoebi requested review from a team as code owners August 24, 2026 19:48

datadog-datadog-us1-prod Bot reviewed Aug 24, 2026

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Comment thread libdd-remote-config/src/fetch/mod.rs

gyuheon0h reviewed Aug 24, 2026

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Comment thread libdd-gotter/src/elf.rs Outdated

Avoid depending on the crypto nodejs API for remote config

894704d

The js feature from the uuid crate pulls that in, so drop it and work around it.

bwoebi force-pushed the bob/rc-node branch from 56098da to 894704d Compare August 24, 2026 19:56

bengl approved these changes Aug 24, 2026

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gh-worker-dd-devflow-36fce6 Bot added the mergequeue-status: waiting label Aug 24, 2026

gh-worker-dd-devflow-36fce6 Bot added mergequeue-status: queued mergequeue-status: in_progress and removed mergequeue-status: waiting mergequeue-status: queued labels Aug 24, 2026

gh-worker-dd-mergequeue-cf854d Bot merged commit 15453cd into main Aug 24, 2026
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gh-worker-dd-devflow-36fce6 Bot removed the mergequeue-status: in_progress label Aug 24, 2026

gh-worker-dd-mergequeue-cf854d Bot deleted the bob/rc-node branch August 24, 2026 21:15

gh-worker-dd-devflow-36fce6 Bot added the mergequeue-status: done label Aug 24, 2026

dd-octo-sts Bot mentioned this pull request Aug 25, 2026

chore(release): proposal for libdd-capabilities-impl, libdd-crashtracker, libdd-data-pipeline, li... #2409

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