chore(rc)!: add DEBUG product by KowalskiThomas · Pull Request #2306 · DataDog/libdatadog

KowalskiThomas · 2026-07-30T14:55:03Z

What does this PR do?

This PR adds the DEBUG product to the list of known Remote Configuration products.

Motivation

I need this in order to test a new Remote Configuration integration in dd-trace-py (see DataDog/dd-trace-py#19357). Because the list of known Remote Configuration products in dd-trace-py is defined as a Python enum derived from the native Remote Configuration Product enum defined in libdatadog, the only way I can use the DEBUG product in dd-trace-py is to add the DEBUG product to libdatadog.

I don't think this need is a one time thing or specific to me. Anyone trying to add a new integration in a tracing library that uses the native Remote Configuration client would have the same issue. The only way not to need it would be not to use the libdatadog client, which isn't the way of the future as far as I can tell.

datadog-datadog-prod-us1 · 2026-07-30T15:09:17Z

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 76.47% (-0.02%)

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

🔗 Commit SHA: 91003ce | Docs | Datadog PR Page | Give us feedback!}

dd-octo-sts · 2026-07-30T15:41:45Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	89.46 MB	89.46 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.20 MB	8.20 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.06 MB	11.06 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	100.64 MB	100.64 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	26.62 MB	26.62 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	94.56 KB	94.56 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	180.61 MB	180.63 MB	+.01% (+24.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	770.97 MB	771.06 MB	+.01% (+83.93 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	8.72 MB	8.72 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	94.56 KB	94.56 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	25.64 MB	25.64 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	51.06 MB	51.06 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.20 MB	23.20 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	96.04 KB	96.04 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	185.59 MB	185.61 MB	+0% (+16.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	759.16 MB	759.21 MB	+0% (+46.07 KB) 👌
/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	96.04 KB	96.04 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	27.58 MB	27.58 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	48.61 MB	48.61 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	79.72 MB	79.72 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.15 MB	9.15 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	95.38 MB	95.38 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.16 MB	11.16 MB	0% (0 B) 👌

pr-commenter · 2026-07-30T16:07:35Z

Benchmarks

Comparison

Benchmark execution time: 2026-08-14 10:19:00

Comparing candidate commit 91003ce in PR branch kowalski/chore-rc-add-debug-product with baseline commit 3e3454a in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 13 metrics, 1 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	`91003ce`	1786702101	kowalski/chore-rc-add-debug-product

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	21.539ms	21.673ms ± 0.056ms	21.661ms ± 0.034ms	21.705ms	21.782ms	21.829ms	21.859ms	0.92%	0.743	0.415	0.26%	0.004ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	114369.817op/s	115349.520op/s ± 297.351op/s	115416.886op/s ± 179.904op/s	115566.083op/s	115720.848op/s	115880.976op/s	116067.570op/s	0.56%	-0.729	0.392	0.26%	21.026op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	96.814ms	97.713ms ± 0.445ms	97.719ms ± 0.151ms	97.855ms	98.025ms	98.272ms	103.034ms	5.44%	8.437	100.288	0.45%	0.031ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9705.555op/s	10234.230op/s ± 44.960op/s	10233.417op/s ± 15.830op/s	10251.350op/s	10277.124op/s	10310.721op/s	10329.058op/s	0.93%	-8.016	93.997	0.44%	3.179op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	590.270µs	592.389µs ± 1.214µs	591.996µs ± 0.780µs	593.410µs	594.454µs	594.748µs	595.341µs	0.57%	0.506	-0.977	0.20%	0.086µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	167970.982op/s	168808.841op/s ± 345.457op/s	168920.190op/s ± 222.551op/s	169075.259op/s	169243.112op/s	169331.588op/s	169414.039op/s	0.29%	-0.501	-0.981	0.20%	24.427op/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	[21.666ms; 21.681ms] or [-0.036%; +0.036%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[115308.310op/s; 115390.730op/s] or [-0.036%; +0.036%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[97.652ms; 97.775ms] or [-0.063%; +0.063%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[10227.999op/s; 10240.461op/s] or [-0.061%; +0.061%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[592.220µs; 592.557µs] or [-0.028%; +0.028%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[168760.964op/s; 168856.718op/s] or [-0.028%; +0.028%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`91003ce`	1786702101	kowalski/chore-rc-add-debug-product

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	140.567µs	144.557µs ± 5.841µs	143.520µs ± 0.963µs	144.404µs	149.692µs	170.605µs	203.715µs	41.94%	6.850	58.099	4.03%	0.413µs	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	[143.747µs; 145.366µs] or [-0.560%; +0.560%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`91003ce`	1786702101	kowalski/chore-rc-add-debug-product

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	5.458ms	5.478ms ± 0.007ms	5.477ms ± 0.004ms	5.482ms	5.490ms	5.495ms	5.501ms	0.43%	0.111	0.527	0.13%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	454468.732op/s	456404.488op/s ± 602.682op/s	456432.023op/s ± 374.186op/s	456763.081op/s	457379.753op/s	457831.214op/s	458054.233op/s	0.36%	-0.101	0.523	0.13%	42.616op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.974ms	7.990ms ± 0.007ms	7.989ms ± 0.004ms	7.992ms	7.999ms	8.020ms	8.039ms	0.63%	2.394	12.318	0.09%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124389.089op/s	125163.564op/s ± 115.875op/s	125167.759op/s ± 57.813op/s	125232.478op/s	125317.063op/s	125361.921op/s	125402.783op/s	0.19%	-2.371	12.143	0.09%	8.194op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	182.343µs	188.627µs ± 65.952µs	183.875µs ± 0.190µs	184.109µs	184.895µs	185.606µs	1116.639µs	507.28%	14.035	194.987	34.88%	4.663µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	89554.418op/s	541319.566op/s ± 32131.430op/s	543846.415op/s ± 563.265op/s	544305.279op/s	544845.838op/s	547464.277op/s	548417.295op/s	0.84%	-14.001	194.358	5.92%	2272.035op/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	[5.477ms; 5.479ms] or [-0.018%; +0.018%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[456320.962op/s; 456488.014op/s] or [-0.018%; +0.018%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.989ms; 7.991ms] or [-0.013%; +0.013%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[125147.505op/s; 125179.623op/s] or [-0.013%; +0.013%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[179.486µs; 197.767µs] or [-4.846%; +4.846%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[536866.459op/s; 545772.674op/s] or [-0.823%; +0.823%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`91003ce`	1786702101	kowalski/chore-rc-add-debug-product

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	155.834ns	158.982ns ± 2.265ns	158.695ns ± 1.548ns	160.198ns	162.782ns	164.981ns	170.358ns	7.35%	1.151	2.396	1.42%	0.160ns	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	[158.668ns; 159.296ns] or [-0.197%; +0.197%]	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	`3e3454a`	1786644285	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	21.588ms	21.712ms ± 0.064ms	21.696ms ± 0.043ms	21.756ms	21.819ms	21.878ms	21.903ms	0.95%	0.559	-0.263	0.30%	0.005ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	114140.762op/s	115146.595op/s ± 341.043op/s	115227.845op/s ± 227.112op/s	115398.633op/s	115606.906op/s	115713.235op/s	115805.021op/s	0.50%	-0.546	-0.284	0.30%	24.115op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	96.831ms	97.184ms ± 0.425ms	97.162ms ± 0.105ms	97.231ms	97.394ms	98.377ms	102.414ms	5.40%	9.776	114.384	0.44%	0.030ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9764.296op/s	10289.906op/s ± 43.146op/s	10292.056op/s ± 11.183op/s	10306.152op/s	10314.417op/s	10318.317op/s	10327.251op/s	0.34%	-9.507	109.570	0.42%	3.051op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	592.786µs	594.166µs ± 0.700µs	594.166µs ± 0.422µs	594.525µs	595.153µs	595.559µs	599.821µs	0.95%	2.692	19.637	0.12%	0.049µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	166716.302op/s	168303.358op/s ± 197.572op/s	168303.020op/s ± 119.660op/s	168439.745op/s	168547.648op/s	168606.164op/s	168694.845op/s	0.23%	-2.642	19.121	0.12%	13.970op/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	[21.703ms; 21.721ms] or [-0.041%; +0.041%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[115099.329op/s; 115193.860op/s] or [-0.041%; +0.041%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[97.126ms; 97.243ms] or [-0.061%; +0.061%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[10283.926op/s; 10295.886op/s] or [-0.058%; +0.058%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[594.069µs; 594.263µs] or [-0.016%; +0.016%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[168275.977op/s; 168330.740op/s] or [-0.016%; +0.016%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`3e3454a`	1786644285	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	144.092µs	147.408µs ± 5.908µs	146.071µs ± 0.781µs	147.345µs	152.431µs	170.191µs	211.903µs	45.07%	7.762	74.039	4.00%	0.418µs	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	[146.589µs; 148.226µs] or [-0.555%; +0.555%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`3e3454a`	1786644285	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	5.436ms	5.454ms ± 0.007ms	5.454ms ± 0.004ms	5.458ms	5.467ms	5.472ms	5.476ms	0.40%	0.294	-0.010	0.14%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	456530.032op/s	458340.478op/s ± 622.644op/s	458358.844op/s ± 355.237op/s	458717.795op/s	459259.151op/s	459592.834op/s	459863.969op/s	0.33%	-0.286	-0.016	0.14%	44.028op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.952ms	7.986ms ± 0.013ms	7.986ms ± 0.007ms	7.993ms	8.006ms	8.024ms	8.035ms	0.61%	0.353	0.852	0.17%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124454.056op/s	125215.673op/s ± 207.513op/s	125217.566op/s ± 114.384op/s	125340.637op/s	125568.414op/s	125640.758op/s	125756.804op/s	0.43%	-0.340	0.829	0.17%	14.673op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	174.074µs	188.979µs ± 52.759µs	185.532µs ± 0.155µs	185.684µs	186.030µs	186.282µs	931.092µs	401.85%	14.019	194.702	27.85%	3.731µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	107400.715op/s	537685.969op/s ± 30900.656op/s	538990.789op/s ± 451.480op/s	539449.828op/s	544970.463op/s	566921.519op/s	574467.780op/s	6.58%	-13.580	186.901	5.73%	2185.006op/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	[5.453ms; 5.455ms] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[458254.186op/s; 458426.771op/s] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.984ms; 7.988ms] or [-0.023%; +0.023%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[125186.914op/s; 125244.432op/s] or [-0.023%; +0.023%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[181.667µs; 196.290µs] or [-3.869%; +3.869%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[533403.435op/s; 541968.502op/s] or [-0.796%; +0.796%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`3e3454a`	1786644285	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	155.602ns	159.035ns ± 2.705ns	158.557ns ± 1.687ns	160.290ns	164.961ns	168.513ns	169.322ns	6.79%	1.398	2.371	1.70%	0.191ns	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	[158.660ns; 159.410ns] or [-0.236%; +0.236%]	None	None	None

datadog-datadog-prod-us1

More details

Appending Debug preserves all existing FFI discriminants, derives the expected DEBUG wire value, and is automatically exposed by dd-trace-py’s generic enum wrapper; no incomplete product mapping was found.

Was this helpful? React 👍 or 👎

_{Open Bits AI session}

_{🤖 Datadog Autotest · Commit 91003ce · What is Autotest? · @DataDog review to ask questions · Any feedback? Reach out in #autotest}

…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>

KowalskiThomas force-pushed the kowalski/chore-rc-add-debug-product branch from c06bac2 to 04f8214 Compare July 30, 2026 14:59

chore(rc): add DEBUG product

91003ce

KowalskiThomas force-pushed the kowalski/chore-rc-add-debug-product branch from 04f8214 to 91003ce Compare August 14, 2026 10:08

KowalskiThomas marked this pull request as ready for review August 14, 2026 10:08

KowalskiThomas requested review from a team as code owners August 14, 2026 10:08

datadog-datadog-prod-us1 Bot reviewed Aug 14, 2026

View reviewed changes

yannham reviewed Aug 14, 2026

View reviewed changes

Comment thread libdd-remote-config/src/path.rs

yannham approved these changes Aug 14, 2026

View reviewed changes

KowalskiThomas changed the title ~~chore(rc): add DEBUG product~~ chore!(rc): add DEBUG product Aug 14, 2026

KowalskiThomas changed the title ~~chore!(rc): add DEBUG product~~ chore(rc)!: add DEBUG product Aug 14, 2026

gh-worker-dd-devflow-36fce6 Bot added mergequeue-status: waiting mergequeue-status: queued mergequeue-status: in_progress mergequeue-status: rejected and removed mergequeue-status: waiting mergequeue-status: queued mergequeue-status: in_progress mergequeue-status: rejected labels Aug 14, 2026

gh-worker-dd-mergequeue-cf854d Bot merged commit 7be7ac7 into main Aug 14, 2026
194 of 202 checks passed

gh-worker-dd-devflow-36fce6 Bot removed the mergequeue-status: in_progress label Aug 14, 2026

gh-worker-dd-mergequeue-cf854d Bot deleted the kowalski/chore-rc-add-debug-product branch August 14, 2026 17:06

gh-worker-dd-devflow-36fce6 Bot added the mergequeue-status: done label Aug 14, 2026

Navigation Menu

Repository navigation

chore(rc)!: add DEBUG product - #2306

chore(rc)!: add DEBUG product#2306
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit into
mainfrom
kowalski/chore-rc-add-debug-product

KowalskiThomas commented Jul 30, 2026 •

edited

Loading

Uh oh!

datadog-datadog-prod-us1 Bot commented Jul 30, 2026 •

edited

Loading

Uh oh!

dd-octo-sts Bot commented Jul 30, 2026 •

edited

Loading

Uh oh!

pr-commenter Bot commented Jul 30, 2026 •

edited

Loading

Explanation

More details about the CI and significant changes

Group 1

Group 2

Group 3

Group 4

Group 1

Group 2

Group 3

Group 4

Uh oh!

datadog-datadog-prod-us1 Bot left a comment

Uh oh!

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

Conversation

KowalskiThomas commented Jul 30, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

What does this PR do?

Motivation

Uh oh!

datadog-datadog-prod-us1 Bot commented Jul 30, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Uh oh!

dd-octo-sts Bot commented Jul 30, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Artifact Size Benchmark Report

Uh oh!

pr-commenter Bot commented Jul 30, 2026 • edited Loading Uh oh! There was an error while loading. Please reload this page.

Uh oh!

Benchmarks

Comparison

Explanation

More details about the CI and significant changes

Candidate

Group 1

Group 2

Group 3

Group 4

Baseline

Group 1

Group 2

Group 3

Group 4

Uh oh!

datadog-datadog-prod-us1 Bot left a comment

Choose a reason for hiding this comment

Uh oh!

Uh oh!

Uh oh!

Reviewers

Assignees

Labels

Projects

Milestone

Development

Uh oh!

2 participants

KowalskiThomas commented Jul 30, 2026 •

edited

Loading

datadog-datadog-prod-us1 Bot commented Jul 30, 2026 •

edited

Loading

dd-octo-sts Bot commented Jul 30, 2026 •

edited

Loading

pr-commenter Bot commented Jul 30, 2026 •

edited

Loading