feat(rc)!: add process_tags to remote config Target by dubloom · Pull Request #1586 · DataDog/libdatadog

dubloom · 2026-02-17T17:47:39Z

What does this PR do?

This PR allows to send process_tags through Remote Configuration payload. This PR comes with DataDog/dd-trace-php#3658 testing the feature in PHP Tracer.

Motivation

Process tags must be sent by dd-trace-php for every product including RC. PHP tracer is using libdatadog for sending RC payload.

How to test the change?

The changes is mainly validated in dd-trace-php. I also added a test here and modified the one impacted by the add of process_tags in the .proto.

github-actions · 2026-02-17T17:48:30Z

📚 Documentation Check Results

⚠️ 111 documentation warning(s) found

📦 `libdd-trace-protobuf` - 111 warning(s)

Updated: 2026-03-10 15:15:37 UTC | Commit: fb11aad | missing-docs job results

github-actions · 2026-02-17T17:50:56Z

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

Base Branch: origin/main
PR Branch: origin/dubloom/process-tags-rc

Summary by Rule

Rule	Base Branch	PR Branch	Change
expect_used	2	2	No change (0%)
unwrap_used	8	8	No change (0%)
Total	10	10	No change (0%)

Annotation Counts by File

File	Base Branch	PR Branch	Change
`datadog-remote-config/src/fetch/fetcher.rs`	2	2	No change (0%)
`datadog-sidecar/src/service/runtime_info.rs`	1	1	No change (0%)
`datadog-sidecar/src/shm_remote_config.rs`	7	7	No change (0%)

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
`clippy-annotation-reporter`	5	5	No change (0%)
`datadog-ffe-ffi`	1	1	No change (0%)
`datadog-ipc`	28	28	No change (0%)
`datadog-live-debugger`	6	6	No change (0%)
`datadog-live-debugger-ffi`	10	10	No change (0%)
`datadog-profiling-replayer`	4	4	No change (0%)
`datadog-remote-config`	3	3	No change (0%)
`datadog-sidecar`	59	59	No change (0%)
`libdd-common`	10	10	No change (0%)
`libdd-common-ffi`	12	12	No change (0%)
`libdd-crashtracker`	0	12	⚠️ +12 (N/A)
`libdd-data-pipeline`	5	5	No change (0%)
`libdd-ddsketch`	2	2	No change (0%)
`libdd-dogstatsd-client`	1	1	No change (0%)
`libdd-profiling`	13	13	No change (0%)
`libdd-telemetry`	19	19	No change (0%)
`libdd-tinybytes`	4	4	No change (0%)
`libdd-trace-normalization`	2	2	No change (0%)
`libdd-trace-obfuscation`	9	9	No change (0%)
`libdd-trace-utils`	15	15	No change (0%)
Total	208	220	⚠️ +12 (+5.8%)

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.

github-actions · 2026-02-17T17:52:01Z

🔒 Cargo Deny Results

✅ No issues found!

📦 `libdd-trace-protobuf` - ✅ No issues

Updated: 2026-03-10 15:18:59 UTC | Commit: fb11aad | dependency-check job results

pr-commenter · 2026-02-17T18:03:53Z

Benchmarks

Comparison

Benchmark execution time: 2026-03-10 15:28:26

Comparing candidate commit 7736bc9 in PR branch dubloom/process-tags-rc with baseline commit 3f3efef in branch main.

Found 1 performance improvements and 0 performance regressions! Performance is the same for 56 metrics, 2 unstable metrics.

Explanation

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

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

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

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

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

More details about the CI and significant changes

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

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

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

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

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

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

scenario:ip_address/quantize_peer_ip_address_benchmark

🟩 execution_time [-354.687ns; -328.491ns] or [-6.632%; -6.142%]

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	`7736bc9`	1773155388	dubloom/process-tags-rc

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	4.194ms	4.199ms ± 0.008ms	4.198ms ± 0.001ms	4.200ms	4.202ms	4.206ms	4.305ms	2.55%	12.212	161.076	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	[4.198ms; 4.200ms] or [-0.026%; +0.026%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	3.272ms	3.297ms ± 0.021ms	3.291ms ± 0.009ms	3.302ms	3.338ms	3.365ms	3.404ms	3.44%	1.923	4.632	0.64%	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	[3.294ms; 3.300ms] or [-0.089%; +0.089%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	10.667ms	10.695ms ± 0.014ms	10.693ms ± 0.007ms	10.702ms	10.722ms	10.731ms	10.771ms	0.73%	1.308	4.465	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	[10.693ms; 10.697ms] or [-0.018%; +0.018%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	48.726ms	49.051ms ± 1.128ms	48.850ms ± 0.079ms	49.022ms	49.246ms	55.378ms	61.576ms	26.05%	8.814	84.748	2.29%	0.080ms	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	[48.895ms; 49.208ms] or [-0.319%; +0.319%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	32.547µs	33.318µs ± 1.004µs	32.699µs ± 0.050µs	34.621µs	35.100µs	35.510µs	36.032µs	10.19%	1.016	-0.711	3.01%	0.071µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.179µs; 33.457µs] or [-0.418%; +0.418%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	4.938µs	5.007µs ± 0.056µs	4.995µs ± 0.037µs	5.035µs	5.110µs	5.112µs	5.115µs	2.41%	0.606	-0.966	1.13%	0.004µs	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	[4.999µs; 5.015µs] or [-0.156%; +0.156%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	17.845µs	25.022µs ± 9.149µs	18.123µs ± 0.170µs	33.589µs	42.199µs	44.371µs	65.314µs	260.39%	1.048	0.649	36.47%	0.647µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[23.754µs; 26.290µs] or [-5.067%; +5.067%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	144.453µs	146.379µs ± 1.699µs	146.081µs ± 0.597µs	146.722µs	148.476µs	152.360µs	162.423µs	11.19%	5.289	41.628	1.16%	0.120µs	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	[146.143µs; 146.614µs] or [-0.161%; +0.161%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	239.416ns	251.506ns ± 12.757ns	245.483ns ± 3.906ns	255.868ns	281.275ns	284.728ns	285.516ns	16.31%	1.357	0.598	5.06%	0.902ns	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	[249.738ns; 253.274ns] or [-0.703%; +0.703%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
tags/replace_trace_tags	execution_time	2.424µs	2.459µs ± 0.014µs	2.458µs ± 0.011µs	2.471µs	2.478µs	2.481µs	2.483µs	1.03%	-0.515	-0.216	0.56%	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	[2.457µs; 2.461µs] or [-0.078%; +0.078%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	13.923ms	13.982ms ± 0.037ms	13.973ms ± 0.015ms	13.993ms	14.046ms	14.122ms	14.193ms	1.57%	2.496	9.428	0.26%	0.003ms	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	[13.977ms; 13.987ms] or [-0.036%; +0.036%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	187.919ns	190.560ns ± 2.145ns	190.430ns ± 1.603ns	191.784ns	194.310ns	197.100ns	199.473ns	4.75%	0.998	1.465	1.12%	0.152ns	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	[190.263ns; 190.858ns] or [-0.156%; +0.156%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	724.080µs	725.672µs ± 0.760µs	725.536µs ± 0.417µs	726.023µs	727.225µs	728.000µs	729.072µs	0.49%	1.221	2.479	0.10%	0.054µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[725.567µs; 725.778µs] or [-0.015%; +0.015%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	85.690µs	86.053µs ± 0.198µs	86.037µs ± 0.080µs	86.126µs	86.229µs	86.388µs	87.988µs	2.27%	5.613	49.064	0.23%	0.014µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.025µs; 86.080µs] or [-0.032%; +0.032%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	3.892µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.918µs	3.925µs	0.35%	-0.952	15.083	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254748768.100op/s	255632138.790op/s ± 180740.403op/s	255631477.983op/s ± 80182.469op/s	255714064.276op/s	255874318.218op/s	255963103.285op/s	256933718.637op/s	0.51%	0.987	15.256	0.07%	12780.276op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.031µs	79.775µs ± 0.381µs	79.728µs ± 0.249µs	80.019µs	80.514µs	80.759µs	80.906µs	1.48%	0.568	0.101	0.48%	0.027µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12359974.244op/s	12535526.434op/s ± 59650.352op/s	12542580.706op/s ± 39299.501op/s	12579050.556op/s	12627531.997op/s	12641814.841op/s	12653224.524op/s	0.88%	-0.543	0.062	0.47%	4217.917op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	72.408µs	73.074µs ± 0.341µs	73.043µs ± 0.230µs	73.305µs	73.676µs	73.851µs	74.323µs	1.75%	0.572	0.431	0.46%	0.024µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13454734.034op/s	13685030.007op/s ± 63628.685op/s	13690490.452op/s ± 43089.908op/s	13732041.500op/s	13783307.255op/s	13798956.746op/s	13810587.196op/s	0.88%	-0.543	0.363	0.46%	4499.227op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.913µs ± 0.003µs	3.912µs ± 0.002µs	3.915µs	3.919µs	3.921µs	3.924µs	0.29%	-0.490	6.072	0.09%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254859175.349op/s	255554219.836op/s ± 222755.534op/s	255594172.453op/s ± 135290.589op/s	255689043.711op/s	255808911.470op/s	255907124.896op/s	256911507.555op/s	0.52%	0.510	6.187	0.09%	15751.195op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.204µs	69.747µs ± 0.321µs	69.733µs ± 0.229µs	69.939µs	70.292µs	70.592µs	71.022µs	1.85%	0.822	0.858	0.46%	0.023µs	1	200
credit_card/is_card_number/378282246310005	throughput	14080142.804op/s	14337890.078op/s ± 65664.861op/s	14340469.847op/s ± 47026.924op/s	14390551.166op/s	14422754.853op/s	14435321.069op/s	14450050.640op/s	0.76%	-0.792	0.762	0.46%	4643.207op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.139µs	52.203µs ± 0.031µs	52.199µs ± 0.020µs	52.222µs	52.252µs	52.280µs	52.359µs	0.31%	0.949	2.670	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19098970.267op/s	19156026.583op/s ± 11229.954op/s	19157283.090op/s ± 7467.185op/s	19163820.623op/s	19171590.389op/s	19176454.365op/s	19179671.466op/s	0.12%	-0.943	2.639	0.06%	794.078op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.026µs	6.035µs ± 0.007µs	6.034µs ± 0.002µs	6.036µs	6.042µs	6.070µs	6.080µs	0.76%	4.325	22.405	0.11%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	164480071.640op/s	165692236.983op/s ± 181963.858op/s	165723049.365op/s ± 46528.045op/s	165768748.442op/s	165846804.096op/s	165878848.496op/s	165956757.241op/s	0.14%	-4.306	22.255	0.11%	12866.788op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.912µs ± 0.003µs	3.912µs ± 0.001µs	3.913µs	3.919µs	3.921µs	3.922µs	0.25%	-0.441	7.647	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254987641.027op/s	255610424.574op/s ± 201643.990op/s	255616362.329op/s ± 96910.917op/s	255725054.662op/s	255855292.651op/s	255908804.187op/s	256882068.527op/s	0.50%	0.464	7.770	0.08%	14258.383op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.098µs	64.353µs ± 0.140µs	64.334µs ± 0.083µs	64.417µs	64.627µs	64.762µs	64.872µs	0.84%	0.945	0.860	0.22%	0.010µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15414907.045op/s	15539258.086op/s ± 33648.926op/s	15543966.333op/s ± 19992.313op/s	15563600.241op/s	15581555.958op/s	15595328.253op/s	15601062.432op/s	0.37%	-0.932	0.824	0.22%	2379.338op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.095µs	58.370µs ± 0.154µs	58.337µs ± 0.083µs	58.432µs	58.651µs	58.870µs	58.944µs	1.04%	1.214	1.795	0.26%	0.011µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16965344.998op/s	17132322.349op/s ± 44925.309op/s	17141768.621op/s ± 24490.769op/s	17164906.613op/s	17186304.433op/s	17202317.174op/s	17213303.476op/s	0.42%	-1.196	1.736	0.26%	3176.699op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.911µs ± 0.002µs	3.911µs ± 0.001µs	3.913µs	3.915µs	3.917µs	3.918µs	0.16%	-2.123	17.338	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255249076.981op/s	255662913.706op/s ± 163141.417op/s	255657254.108op/s ± 88915.742op/s	255758504.772op/s	255874278.534op/s	255927944.527op/s	256942703.385op/s	0.50%	2.151	17.597	0.06%	11535.840op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.555µs	54.955µs ± 0.293µs	54.880µs ± 0.169µs	55.103µs	55.527µs	55.807µs	56.030µs	2.10%	1.152	1.085	0.53%	0.021µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17847428.478op/s	18197259.036op/s ± 96381.196op/s	18221546.294op/s ± 56246.274op/s	18271767.840op/s	18305688.679op/s	18316014.574op/s	18330276.117op/s	0.60%	-1.124	0.987	0.53%	6815.180op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.144µs	52.213µs ± 0.036µs	52.208µs ± 0.020µs	52.230µs	52.283µs	52.320µs	52.341µs	0.25%	0.863	1.265	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19105504.176op/s	19152176.465op/s ± 13111.173op/s	19154089.563op/s ± 7473.241op/s	19160748.731op/s	19170434.685op/s	19177176.437op/s	19177566.083op/s	0.12%	-0.857	1.253	0.07%	927.100op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.027µs	6.039µs ± 0.013µs	6.036µs ± 0.004µs	6.040µs	6.070µs	6.080µs	6.121µs	1.41%	2.866	10.631	0.21%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163379343.467op/s	165578807.976op/s ± 341035.324op/s	165679687.680op/s ± 96117.759op/s	165756697.081op/s	165868146.345op/s	165895707.998op/s	165928466.906op/s	0.15%	-2.839	10.388	0.21%	24114.839op/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	[255607089.908op/s; 255657187.671op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[79.722µs; 79.828µs] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12527259.469op/s; 12543793.399op/s] or [-0.066%; +0.066%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[73.027µs; 73.121µs] or [-0.065%; +0.065%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13676211.683op/s; 13693848.331op/s] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255523348.061op/s; 255585091.611op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.702µs; 69.791µs] or [-0.064%; +0.064%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14328789.559op/s; 14346990.596op/s] or [-0.063%; +0.063%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.199µs; 52.207µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19154470.219op/s; 19157582.947op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.034µs; 6.036µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165667018.542op/s; 165717455.423op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255582478.656op/s; 255638370.491op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.334µs; 64.373µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15534594.669op/s; 15543921.504op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.348µs; 58.391µs] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17126096.133op/s; 17138548.564op/s] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255640303.875op/s; 255685523.537op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.914µs; 54.995µs] or [-0.074%; +0.074%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18183901.529op/s; 18210616.543op/s] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.208µs; 52.218µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19150359.382op/s; 19153993.547op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.038µs; 6.041µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165531543.760op/s; 165626072.192op/s] or [-0.029%; +0.029%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	1.194µs	3.189µs ± 1.427µs	2.986µs ± 0.029µs	3.012µs	3.643µs	13.836µs	14.801µs	395.74%	7.384	55.573	44.64%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.991µs; 3.387µs] or [-6.202%; +6.202%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	185.323µs	185.931µs ± 0.329µs	185.872µs ± 0.224µs	186.140µs	186.578µs	186.779µs	186.892µs	0.55%	0.703	-0.010	0.18%	0.023µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5350681.670op/s	5378363.379op/s ± 9493.490op/s	5380051.189op/s ± 6486.695op/s	5385620.709op/s	5390828.314op/s	5393166.237op/s	5395993.771op/s	0.30%	-0.695	-0.025	0.18%	671.291op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.849µs	17.962µs ± 0.064µs	17.958µs ± 0.043µs	18.001µs	18.067µs	18.109µs	18.228µs	1.50%	0.576	0.590	0.36%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	54861564.449op/s	55673915.723op/s ± 197814.166op/s	55684797.840op/s ± 133762.094op/s	55818524.131op/s	55968073.629op/s	56009203.445op/s	56024914.609op/s	0.61%	-0.552	0.518	0.35%	13987.574op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.241µs	10.428µs ± 0.080µs	10.430µs ± 0.066µs	10.485µs	10.559µs	10.617µs	10.660µs	2.20%	0.232	-0.485	0.77%	0.006µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93810030.424op/s	95897939.994op/s ± 738091.072op/s	95874422.667op/s ± 608248.887op/s	96550637.460op/s	96992162.813op/s	97234193.180op/s	97648014.416op/s	1.85%	-0.199	-0.516	0.77%	52190.920op/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	[185.885µs; 185.976µs] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5377047.673op/s; 5379679.086op/s] or [-0.024%; +0.024%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.953µs; 17.971µs] or [-0.049%; +0.049%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55646500.582op/s; 55701330.863op/s] or [-0.049%; +0.049%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.417µs; 10.440µs] or [-0.107%; +0.107%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[95795647.670op/s; 96000232.318op/s] or [-0.107%; +0.107%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	534.447µs	535.690µs ± 1.633µs	535.150µs ± 0.375µs	535.823µs	537.781µs	543.373µs	547.376µs	2.28%	4.088	22.303	0.30%	0.115µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1826899.352op/s	1866768.978op/s ± 5622.757op/s	1868636.092op/s ± 1309.109op/s	1869761.232op/s	1870528.179op/s	1870891.936op/s	1871093.542op/s	0.13%	-4.020	21.636	0.30%	397.589op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.540µs	381.341µs ± 0.309µs	381.343µs ± 0.210µs	381.559µs	381.811µs	382.054µs	382.475µs	0.30%	0.254	0.519	0.08%	0.022µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2614553.240op/s	2622329.429op/s ± 2123.855op/s	2622310.699op/s ± 1443.816op/s	2623711.640op/s	2625624.938op/s	2627050.860op/s	2627841.639op/s	0.21%	-0.248	0.511	0.08%	150.179op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.672µs	190.052µs ± 0.363µs	190.003µs ± 0.090µs	190.118µs	190.329µs	190.566µs	194.580µs	2.41%	9.814	119.065	0.19%	0.026µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5139268.239op/s	5261746.947op/s ± 9876.155op/s	5263080.476op/s ± 2507.691op/s	5265200.558op/s	5268740.840op/s	5269970.893op/s	5272250.927op/s	0.17%	-9.673	116.672	0.19%	698.350op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.309µs	37.555µs ± 0.073µs	37.546µs ± 0.047µs	37.597µs	37.678µs	37.719µs	37.768µs	0.59%	0.241	0.159	0.19%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26477470.431op/s	26628047.071op/s ± 51632.009op/s	26634194.088op/s ± 33678.983op/s	26663154.960op/s	26706627.836op/s	26723368.310op/s	26803256.915op/s	0.63%	-0.229	0.162	0.19%	3650.934op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.797µs	45.922µs ± 0.184µs	45.895µs ± 0.040µs	45.941µs	46.045µs	46.124µs	47.915µs	4.40%	8.565	82.871	0.40%	0.013µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20870397.614op/s	21776230.128op/s ± 84430.300op/s	21788747.205op/s ± 19040.889op/s	21806552.978op/s	21821279.391op/s	21831706.415op/s	21835263.611op/s	0.21%	-8.428	80.775	0.39%	5970.124op/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	[535.463µs; 535.916µs] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1865989.718op/s; 1867548.238op/s] or [-0.042%; +0.042%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[381.298µs; 381.383µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2622035.083op/s; 2622623.775op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.001µs; 190.102µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5260378.207op/s; 5263115.687op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.544µs; 37.565µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26620891.372op/s; 26635202.771op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.897µs; 45.948µs] or [-0.056%; +0.056%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21764528.900op/s; 21787931.355op/s] or [-0.054%; +0.054%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`7736bc9`	1773155388	dubloom/process-tags-rc

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	161.442µs	161.947µs ± 0.429µs	161.855µs ± 0.155µs	162.059µs	162.484µs	163.180µs	166.158µs	2.66%	5.338	45.933	0.26%	0.030µs	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	[161.887µs; 162.006µs] or [-0.037%; +0.037%]	None	None	None

Baseline

Omitted due to size.

codecov-commenter · 2026-02-17T18:03:56Z

Codecov Report

❌ Patch coverage is 78.66667% with 16 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.05%. Comparing base (04394ec) to head (7736bc9).
⚠️ Report is 3 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1586      +/-   ##
==========================================
- Coverage   71.33%   71.05%   -0.29%     
==========================================
  Files         427      427              
  Lines       62960    63035      +75     
==========================================
- Hits        44914    44788     -126     
- Misses      18046    18247     +201

Components	Coverage Δ
libdd-crashtracker	`62.45% <ø> (-0.50%)`	⬇️
libdd-crashtracker-ffi	`17.49% <ø> (+0.92%)`	⬆️
libdd-alloc	`98.77% <ø> (ø)`
libdd-data-pipeline	`88.02% <ø> (ø)`
libdd-data-pipeline-ffi	`75.72% <ø> (ø)`
libdd-common	`79.73% <ø> (-0.01%)`	⬇️
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	`80.35% <ø> (ø)`
libdd-profiling	`81.60% <ø> (+0.01%)`	⬆️
libdd-profiling-ffi	`63.65% <ø> (ø)`
datadog-sidecar	`32.44% <20.00%> (-2.05%)`	⬇️
datdog-sidecar-ffi	`7.73% <0.00%> (-8.82%)`	⬇️
spawn-worker	`54.69% <ø> (ø)`
libdd-tinybytes	`93.16% <ø> (ø)`
libdd-trace-normalization	`81.71% <ø> (ø)`
libdd-trace-obfuscation	`94.69% <ø> (ø)`
libdd-trace-protobuf	`68.25% <ø> (ø)`
libdd-trace-utils	`89.08% <ø> (ø)`
datadog-tracer-flare	`88.97% <100.00%> (+0.01%)`	⬆️
libdd-log	`74.69% <ø> (ø)`

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dd-octo-sts · 2026-02-17T18:24:21Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.70 MB	8.70 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	98.65 MB	98.65 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.29 MB	11.29 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	114.30 MB	114.30 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.17 MB	27.17 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	186.03 MB	186.05 MB	+0% (+16.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	917.20 MB	917.21 MB	+0% (+7.04 KB) 👌
/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	190.24 MB	190.25 MB	+0% (+8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	900.85 MB	900.86 MB	+0% (+6.42 KB) 👌
/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	47.07 MB	47.07 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	86.54 MB	86.54 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	10.23 MB	10.23 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	107.16 MB	107.16 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.98 MB	11.98 MB	0% (0 B) 👌

danielsn · 2026-03-10T14:24:17Z

datadog-remote-config/src/fetch/fetcher.rs

+            process_tags: vec![],
+        })
+    });
+    pub(crate) static DUMMY_TARGET_WITH_PROCESS_TAGS: LazyLock<Arc<Target>> = LazyLock::new(|| {


will this create fork-safety issues?

This should be compiled only in test.
This is a duplicata of what the code is already doing with DUMMY_TARGET.

Happy to modify it if needed

danielsn · 2026-03-10T14:25:05Z

datadog-remote-config/src/fetch/fetcher.rs

+            app_version: "1.3.5".to_string(),
+            tags: vec![],
+            process_tags: vec![
+                libdd_common::tag::Tag::new("entrypoint.workdir", "datadog-remote-config").unwrap(),


Can we avoid using unwrap

danielsn · 2026-03-10T14:25:58Z

datadog-remote-config/src/lib.rs

    pub env: String,
    pub app_version: String,
    pub tags: Vec<Tag>,
+    pub process_tags: Vec<Tag>,


Why is this a separate thing rather than part of tags

This is expected by the agent:
https://github.com/DataDog/datadog-agent/pull/36049/changes#diff-8af4fe38d4b86a4b53247f19bd1e601432ad4149e4184996f1f993c2761cbaae

danielsn · 2026-03-10T14:28:49Z

datadog-sidecar/src/service/runtime_info.rs

                        .expect("set_metadata was called before"),
                    self.global_tags.clone(),
                    dynamic_instrumentation_state,
+                    process_tags


why can we clone the global tags but have to parse the process tags?

Process tags is used as a string for Telemetry. so the global process tags is a string but it should be sent as a Vec so we need to parse them.

If you feel this is required, we can parse them and store them when we receive new process_tags but it would mean we store kind of duplicate data

danielsn · 2026-03-10T14:29:38Z

libdd-trace-protobuf/src/remoteconfig.rs

    pub app_version: ::prost::alloc::string::String,
    #[prost(string, repeated, tag = "7")]
    pub tags: ::prost::alloc::vec::Vec<::prost::alloc::string::String>,
+    #[prost(string, repeated, tag = "9")]


not for this PR, but why is this file checked in rather than auto-generated from the proto?

Probably me not familiar with proto

github-actions bot added the sidecar label Feb 17, 2026

dubloom changed the title ~~feat(rc): add process_tags to remote config Target~~ feat!(rc): add process_tags to remote config Target Mar 5, 2026

dubloom changed the title ~~feat!(rc): add process_tags to remote config Target~~ feat(rc)!: add process_tags to remote config Target Mar 5, 2026

feat(rc): add process_tags to remote config Target

ae9464f

dubloom force-pushed the dubloom/process-tags-rc branch from 60b6c87 to ae9464f Compare March 9, 2026 12:50

lint

61658eb

dubloom mentioned this pull request Mar 10, 2026

Adds process tags to remote config payload DataDog/dd-trace-php#3658

Open

2 tasks

dubloom marked this pull request as ready for review March 10, 2026 10:34

dubloom requested review from a team as code owners March 10, 2026 10:34

danielsn reviewed Mar 10, 2026

View reviewed changes

remove unwrap

7736bc9

dubloom requested a review from danielsn March 10, 2026 15:35

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📦 libdd-trace-protobuf - 111 warning(s)

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dubloom commented Feb 17, 2026 •

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📦 `libdd-trace-protobuf` - 111 warning(s)

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📦 `libdd-trace-protobuf` - ✅ No issues

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