feat(data-pipeline)!: refactor agent's /info obfuscation config format by Eldolfin · Pull Request #2490 · DataDog/libdatadog

Eldolfin · 2026-09-09T12:28:31Z

What does this PR do?

Parse the obfuscation config from the agent /info endpoint with a new, more complete format.
It now includes the missing parts, these are not used in stats computation yet it will come in a follow up PR.

Agent side PR: DataDog/datadog-agent#56014

Motivation

2 main motivation:

Client side stats obfuscates resources without using the agent config. This is a breaking change for customers enabling CSS when they have a custom obfuscation config.
See https://docs.google.com/document/d/1i-CQfkF-5B_8vLYepIJ6A16aRISH-Px7XIBSq0HKMaY/edit?tab=t.0#heading=h.i4txi29o2zao

We might want to obfuscate span derived primary tags in client side stats in the future.

Additional Notes

How to test the change?

I tried the fetch_info function manually using a released agent version and with the version in the mentioned PR.

pr-commenter · 2026-09-09T12:40:15Z

Benchmarks

Comparison

Benchmark execution time: 2026-09-10 11:34:04

Comparing candidate commit 4aaeae8 in PR branch oscarld/refactor-agent-info-obfuscation-config-format with baseline commit 286813f in branch main.

📊 Benchmarking dashboard

Found 0 performance improvements and 0 performance regressions! Performance is the same for 24 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 ----------------------------------'

Benchmark execution time: 2026-09-10 11:35:27

Comparing candidate commit 4aaeae8 in PR branch oscarld/refactor-agent-info-obfuscation-config-format with baseline commit 286813f in branch main.

📊 Benchmarking dashboard

Found 1 performance improvements and 0 performance regressions! Performance is the same for 35 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 ----------------------------------'

scenario:sql/obfuscate_sql_string

🟩 execution_time [-12.290µs; -12.040µs] or [-4.091%; -4.008%]

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	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
trace_buffer/1_senders/10us_delay	execution_time	56.366ms	56.656ms ± 0.162ms	56.622ms ± 0.095ms	56.737ms	56.964ms	57.139ms	57.179ms	0.99%	0.838	0.618	0.29%	0.011ms	1	200
trace_buffer/1_senders/10us_delay	throughput	15739.917op/s	15885.600op/s ± 45.283op/s	15894.990op/s ± 26.768op/s	15916.864op/s	15948.858op/s	15962.476op/s	15966.972op/s	0.45%	-0.822	0.581	0.28%	3.202op/s	1	200
trace_buffer/1_senders/1us_delay	execution_time	50.027ms	50.088ms ± 0.034ms	50.081ms ± 0.012ms	50.092ms	50.175ms	50.192ms	50.214ms	0.27%	1.564	2.521	0.07%	0.002ms	1	200
trace_buffer/1_senders/1us_delay	throughput	17923.375op/s	17968.276op/s ± 12.131op/s	17970.901op/s ± 4.400op/s	17975.490op/s	17981.672op/s	17987.310op/s	17990.268op/s	0.11%	-1.559	2.508	0.07%	0.858op/s	1	200
trace_buffer/1_senders/no_delay	execution_time	330.264µs	337.770µs ± 3.464µs	337.215µs ± 1.890µs	339.183µs	343.380µs	348.559µs	358.630µs	6.35%	1.674	6.323	1.02%	0.245µs	1	200
trace_buffer/1_senders/no_delay	throughput	2509547.362op/s	2664806.007op/s ± 26892.822op/s	2668918.801op/s ± 14985.145op/s	2682978.064op/s	2698128.308op/s	2707639.446op/s	2725092.442op/s	2.10%	-1.514	5.286	1.01%	1901.610op/s	1	200
trace_buffer/2_senders/10us_delay	execution_time	56.887ms	57.298ms ± 0.170ms	57.299ms ± 0.122ms	57.419ms	57.564ms	57.675ms	57.811ms	0.89%	0.022	-0.152	0.30%	0.012ms	1	200
trace_buffer/2_senders/10us_delay	throughput	31135.710op/s	31415.247op/s ± 92.997op/s	31413.888op/s ± 66.763op/s	31480.508op/s	31570.569op/s	31607.741op/s	31641.876op/s	0.73%	-0.006	-0.161	0.30%	6.576op/s	1	200
trace_buffer/2_senders/1us_delay	execution_time	50.064ms	50.117ms ± 0.041ms	50.111ms ± 0.017ms	50.126ms	50.187ms	50.233ms	50.444ms	0.67%	3.280	20.396	0.08%	0.003ms	1	200
trace_buffer/2_senders/1us_delay	throughput	35682.798op/s	35916.005op/s ± 29.065op/s	35920.390op/s ± 11.890op/s	35934.096op/s	35947.541op/s	35950.615op/s	35954.314op/s	0.09%	-3.252	20.088	0.08%	2.055op/s	1	200
trace_buffer/2_senders/no_delay	execution_time	867.413µs	913.966µs ± 15.198µs	916.282µs ± 9.134µs	923.839µs	936.153µs	945.788µs	948.959µs	3.57%	-0.553	0.326	1.66%	1.075µs	1	200
trace_buffer/2_senders/no_delay	throughput	1896815.574op/s	1969986.946op/s ± 33090.351op/s	1964461.021op/s ± 19780.248op/s	1987399.045op/s	2033648.152op/s	2059788.170op/s	2075137.129op/s	5.63%	0.655	0.481	1.68%	2339.841op/s	1	200
trace_buffer/4_senders/10us_delay	execution_time	57.218ms	57.502ms ± 0.145ms	57.484ms ± 0.088ms	57.576ms	57.762ms	57.891ms	58.075ms	1.03%	0.857	1.107	0.25%	0.010ms	1	200
trace_buffer/4_senders/10us_delay	throughput	61988.638op/s	62606.928op/s ± 157.305op/s	62626.517op/s ± 96.182op/s	62712.207op/s	62814.680op/s	62899.617op/s	62917.309op/s	0.46%	-0.839	1.058	0.25%	11.123op/s	1	200
trace_buffer/4_senders/1us_delay	execution_time	50.116ms	50.170ms ± 0.033ms	50.161ms ± 0.016ms	50.184ms	50.243ms	50.262ms	50.268ms	0.21%	1.064	0.620	0.07%	0.002ms	1	200
trace_buffer/4_senders/1us_delay	throughput	71615.746op/s	71755.915op/s ± 47.422op/s	71768.576op/s ± 22.429op/s	71788.318op/s	71812.592op/s	71830.056op/s	71832.855op/s	0.09%	-1.061	0.613	0.07%	3.353op/s	1	200
trace_buffer/4_senders/no_delay	execution_time	2.188ms	2.417ms ± 0.064ms	2.419ms ± 0.039ms	2.461ms	2.509ms	2.530ms	2.569ms	6.19%	-0.750	1.135	2.63%	0.005ms	1	200
trace_buffer/4_senders/no_delay	throughput	1401380.516op/s	1490574.371op/s ± 40266.361op/s	1488098.676op/s ± 23850.070op/s	1510186.167op/s	1564003.296op/s	1614381.595op/s	1645122.525op/s	10.55%	0.963	1.700	2.69%	2847.262op/s	1	200
trace_buffer/8_senders/10us_delay	execution_time	57.603ms	57.903ms ± 0.206ms	57.849ms ± 0.121ms	58.015ms	58.298ms	58.369ms	58.480ms	1.09%	0.750	-0.415	0.35%	0.015ms	1	200
trace_buffer/8_senders/10us_delay	throughput	123118.954op/s	124347.282op/s ± 440.647op/s	124461.911op/s ± 260.148op/s	124693.544op/s	124913.396op/s	124964.277op/s	124993.167op/s	0.43%	-0.740	-0.433	0.35%	31.158op/s	1	200
trace_buffer/8_senders/1us_delay	execution_time	50.201ms	50.299ms ± 0.068ms	50.279ms ± 0.037ms	50.328ms	50.436ms	50.512ms	50.598ms	0.64%	1.493	2.708	0.13%	0.005ms	1	200
trace_buffer/8_senders/1us_delay	throughput	142297.892op/s	143145.372op/s ± 192.814op/s	143202.303op/s ± 105.895op/s	143277.217op/s	143357.267op/s	143400.120op/s	143422.229op/s	0.15%	-1.483	2.663	0.13%	13.634op/s	1	200
trace_buffer/8_senders/no_delay	execution_time	6.083ms	6.375ms ± 0.091ms	6.389ms ± 0.056ms	6.440ms	6.496ms	6.544ms	6.549ms	2.51%	-0.732	0.398	1.42%	0.006ms	1	200
trace_buffer/8_senders/no_delay	throughput	1099345.737op/s	1129582.631op/s ± 16241.776op/s	1126916.551op/s ± 9808.761op/s	1138622.233op/s	1161987.471op/s	1173074.944op/s	1183626.241op/s	5.03%	0.813	0.556	1.43%	1148.467op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
trace_buffer/1_senders/10us_delay	execution_time	[56.633ms; 56.678ms] or [-0.040%; +0.040%]	None	None	None
trace_buffer/1_senders/10us_delay	throughput	[15879.324op/s; 15891.876op/s] or [-0.040%; +0.040%]	None	None	None
trace_buffer/1_senders/1us_delay	execution_time	[50.084ms; 50.093ms] or [-0.009%; +0.009%]	None	None	None
trace_buffer/1_senders/1us_delay	throughput	[17966.594op/s; 17969.957op/s] or [-0.009%; +0.009%]	None	None	None
trace_buffer/1_senders/no_delay	execution_time	[337.290µs; 338.251µs] or [-0.142%; +0.142%]	None	None	None
trace_buffer/1_senders/no_delay	throughput	[2661078.921op/s; 2668533.094op/s] or [-0.140%; +0.140%]	None	None	None
trace_buffer/2_senders/10us_delay	execution_time	[57.274ms; 57.321ms] or [-0.041%; +0.041%]	None	None	None
trace_buffer/2_senders/10us_delay	throughput	[31402.358op/s; 31428.135op/s] or [-0.041%; +0.041%]	None	None	None
trace_buffer/2_senders/1us_delay	execution_time	[50.111ms; 50.123ms] or [-0.011%; +0.011%]	None	None	None
trace_buffer/2_senders/1us_delay	throughput	[35911.977op/s; 35920.033op/s] or [-0.011%; +0.011%]	None	None	None
trace_buffer/2_senders/no_delay	execution_time	[911.859µs; 916.072µs] or [-0.230%; +0.230%]	None	None	None
trace_buffer/2_senders/no_delay	throughput	[1965400.942op/s; 1974572.951op/s] or [-0.233%; +0.233%]	None	None	None
trace_buffer/4_senders/10us_delay	execution_time	[57.482ms; 57.522ms] or [-0.035%; +0.035%]	None	None	None
trace_buffer/4_senders/10us_delay	throughput	[62585.127op/s; 62628.729op/s] or [-0.035%; +0.035%]	None	None	None
trace_buffer/4_senders/1us_delay	execution_time	[50.166ms; 50.175ms] or [-0.009%; +0.009%]	None	None	None
trace_buffer/4_senders/1us_delay	throughput	[71749.343op/s; 71762.487op/s] or [-0.009%; +0.009%]	None	None	None
trace_buffer/4_senders/no_delay	execution_time	[2.408ms; 2.426ms] or [-0.366%; +0.366%]	None	None	None
trace_buffer/4_senders/no_delay	throughput	[1484993.840op/s; 1496154.901op/s] or [-0.374%; +0.374%]	None	None	None
trace_buffer/8_senders/10us_delay	execution_time	[57.875ms; 57.932ms] or [-0.049%; +0.049%]	None	None	None
trace_buffer/8_senders/10us_delay	throughput	[124286.213op/s; 124408.352op/s] or [-0.049%; +0.049%]	None	None	None
trace_buffer/8_senders/1us_delay	execution_time	[50.289ms; 50.308ms] or [-0.019%; +0.019%]	None	None	None
trace_buffer/8_senders/1us_delay	throughput	[143118.650op/s; 143172.095op/s] or [-0.019%; +0.019%]	None	None	None
trace_buffer/8_senders/no_delay	execution_time	[6.363ms; 6.388ms] or [-0.197%; +0.197%]	None	None	None
trace_buffer/8_senders/no_delay	throughput	[1127331.677op/s; 1131833.585op/s] or [-0.199%; +0.199%]	None	None	None

Group 1

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	2.045µs	2.066µs ± 0.009µs	2.063µs ± 0.002µs	2.066µs	2.089µs	2.095µs	2.102µs	1.89%	1.715	2.829	0.45%	0.001µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[2.064µs; 2.067µs] or [-0.062%; +0.062%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	21.347µs	21.797µs ± 0.277µs	21.736µs ± 0.177µs	21.947µs	22.272µs	22.661µs	22.788µs	4.84%	0.978	1.101	1.27%	0.020µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[21.759µs; 21.835µs] or [-0.176%; +0.176%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	29.079µs	30.073µs ± 1.280µs	29.263µs ± 0.090µs	31.512µs	32.586µs	32.781µs	32.827µs	12.18%	1.022	-0.726	4.25%	0.091µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[29.896µs; 30.251µs] or [-0.590%; +0.590%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	9.656ms	9.688ms ± 0.021ms	9.682ms ± 0.012ms	9.699ms	9.726ms	9.750ms	9.776ms	0.97%	1.193	1.474	0.21%	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	[9.685ms; 9.691ms] or [-0.030%; +0.030%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	3.887µs	3.924µs ± 0.005µs	3.923µs ± 0.003µs	3.926µs	3.930µs	3.935µs	3.944µs	0.52%	-1.182	13.233	0.13%	0.000µs	1	200
credit_card/is_card_number/	throughput	253570075.667op/s	254869360.510op/s ± 326600.992op/s	254898840.292op/s ± 201537.033op/s	255089155.001op/s	255220030.644op/s	255274391.930op/s	257238971.068op/s	0.92%	1.235	13.599	0.13%	23094.178op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	79.610µs	80.357µs ± 0.407µs	80.280µs ± 0.276µs	80.616µs	81.077µs	81.386µs	81.965µs	2.10%	0.766	0.641	0.50%	0.029µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12200307.975op/s	12444797.266op/s ± 62744.389op/s	12456381.520op/s ± 42677.863op/s	12491063.270op/s	12529941.863op/s	12537903.725op/s	12561180.486op/s	0.84%	-0.735	0.552	0.50%	4436.698op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	73.549µs	74.352µs ± 0.373µs	74.294µs ± 0.245µs	74.570µs	75.115µs	75.253µs	75.497µs	1.62%	0.633	0.182	0.50%	0.026µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13245610.110op/s	13449875.386op/s ± 67205.457op/s	13460013.668op/s ± 44337.038op/s	13497466.188op/s	13541268.555op/s	13568238.858op/s	13596394.357op/s	1.01%	-0.606	0.140	0.50%	4752.143op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.901µs	3.923µs ± 0.004µs	3.922µs ± 0.002µs	3.925µs	3.930µs	3.936µs	3.938µs	0.40%	0.139	4.911	0.10%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	253937575.970op/s	254896449.268op/s ± 267415.782op/s	254950080.778op/s ± 160714.750op/s	255068670.864op/s	255178894.441op/s	255223749.816op/s	256374165.527op/s	0.56%	-0.117	4.988	0.10%	18909.151op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	69.910µs	70.672µs ± 0.366µs	70.604µs ± 0.240µs	70.914µs	71.348µs	71.593µs	71.764µs	1.64%	0.500	0.073	0.52%	0.026µs	1	200
credit_card/is_card_number/378282246310005	throughput	13934555.086op/s	14150319.184op/s ± 73149.187op/s	14163489.360op/s ± 48205.686op/s	14200482.464op/s	14263106.116op/s	14292582.379op/s	14304007.298op/s	0.99%	-0.472	0.035	0.52%	5172.429op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	53.151µs	53.245µs ± 0.057µs	53.232µs ± 0.039µs	53.281µs	53.354µs	53.401µs	53.467µs	0.44%	0.888	0.610	0.11%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18702996.907op/s	18781033.626op/s ± 20219.563op/s	18785783.859op/s ± 13883.516op/s	18796317.802op/s	18805885.491op/s	18810091.277op/s	18814172.716op/s	0.15%	-0.882	0.591	0.11%	1429.739op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.442µs	6.452µs ± 0.007µs	6.451µs ± 0.005µs	6.457µs	6.465µs	6.469µs	6.472µs	0.34%	0.715	-0.348	0.11%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154501285.301op/s	154980168.422op/s ± 163653.740op/s	155021842.578op/s ± 113668.966op/s	155114521.057op/s	155182816.998op/s	155205603.507op/s	155225200.721op/s	0.13%	-0.711	-0.356	0.11%	11572.067op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.888µs	3.924µs ± 0.005µs	3.923µs ± 0.003µs	3.926µs	3.931µs	3.934µs	3.965µs	1.08%	1.125	23.471	0.14%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	252201745.968op/s	254869326.615op/s ± 354210.236op/s	254921751.769op/s ± 173360.446op/s	255076459.169op/s	255190598.030op/s	255239389.352op/s	257184343.787op/s	0.89%	-1.024	23.258	0.14%	25046.446op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.870µs	65.323µs ± 0.208µs	65.271µs ± 0.107µs	65.428µs	65.705µs	65.992µs	66.150µs	1.35%	1.207	2.167	0.32%	0.015µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15117241.076op/s	15308653.576op/s ± 48547.536op/s	15320700.819op/s ± 25140.638op/s	15342502.820op/s	15366275.507op/s	15405539.300op/s	15415447.820op/s	0.62%	-1.181	2.089	0.32%	3432.829op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.568µs	59.002µs ± 0.197µs	58.969µs ± 0.107µs	59.081µs	59.377µs	59.588µs	59.611µs	1.09%	0.930	0.825	0.33%	0.014µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16775377.693op/s	16948646.976op/s ± 56292.552op/s	16958044.949op/s ± 30717.836op/s	16987778.992op/s	17016698.146op/s	17053059.507op/s	17074247.365op/s	0.69%	-0.911	0.788	0.33%	3980.485op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.886µs	3.924µs ± 0.005µs	3.924µs ± 0.003µs	3.927µs	3.931µs	3.935µs	3.938µs	0.37%	-2.249	20.147	0.12%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	253913175.435op/s	254826225.381op/s ± 309921.536op/s	254841997.961op/s ± 183542.848op/s	255017876.761op/s	255170134.710op/s	255263047.081op/s	257351887.429op/s	0.98%	2.312	20.732	0.12%	21914.762op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	55.489µs	55.817µs ± 0.197µs	55.763µs ± 0.121µs	55.949µs	56.229µs	56.340µs	56.372µs	1.09%	0.786	-0.054	0.35%	0.014µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17739334.669op/s	17915835.335op/s ± 63195.236op/s	17932973.724op/s ± 39015.722op/s	17962871.206op/s	17995296.839op/s	18015605.157op/s	18021523.105op/s	0.49%	-0.772	-0.082	0.35%	4468.578op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	53.065µs	53.243µs ± 0.059µs	53.234µs ± 0.042µs	53.280µs	53.350µs	53.383µs	53.431µs	0.37%	0.576	0.093	0.11%	0.004µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	18715665.340op/s	18781744.302op/s ± 20851.597op/s	18785053.688op/s ± 14698.155op/s	18798473.564op/s	18807430.910op/s	18809682.015op/s	18844731.740op/s	0.32%	-0.570	0.087	0.11%	1474.431op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.442µs	6.451µs ± 0.006µs	6.450µs ± 0.005µs	6.456µs	6.462µs	6.468µs	6.477µs	0.43%	0.839	0.501	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	154385822.322op/s	155006779.970op/s ± 154347.217op/s	155046645.783op/s ± 112617.443op/s	155135572.977op/s	155190496.343op/s	155220780.923op/s	155233968.638op/s	0.12%	-0.833	0.481	0.10%	10913.996op/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	[3.923µs; 3.924µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/	throughput	[254824096.754op/s; 254914624.267op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.301µs; 80.413µs] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12436101.497op/s; 12453493.035op/s] or [-0.070%; +0.070%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[74.300µs; 74.404µs] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13440561.356op/s; 13459189.416op/s] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.923µs; 3.924µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[254859388.012op/s; 254933510.523op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[70.621µs; 70.722µs] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14140181.410op/s; 14160456.958op/s] or [-0.072%; +0.072%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[53.237µs; 53.253µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[18778231.389op/s; 18783835.863op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.452µs; 6.453µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[154957487.588op/s; 155002849.257op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.923µs; 3.924µs] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[254820236.483op/s; 254918416.748op/s] or [-0.019%; +0.019%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.294µs; 65.352µs] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15301925.354op/s; 15315381.798op/s] or [-0.044%; +0.044%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.975µs; 59.030µs] or [-0.046%; +0.046%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16940845.370op/s; 16956448.582op/s] or [-0.046%; +0.046%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.924µs; 3.925µs] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[254783273.237op/s; 254869177.525op/s] or [-0.017%; +0.017%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[55.790µs; 55.845µs] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17907077.083op/s; 17924593.587op/s] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[53.235µs; 53.251µs] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[18778854.471op/s; 18784634.133op/s] or [-0.015%; +0.015%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.450µs; 6.452µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[154985388.930op/s; 155028171.010op/s] or [-0.014%; +0.014%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	4.943µs	5.030µs ± 0.045µs	5.017µs ± 0.011µs	5.031µs	5.138µs	5.141µs	5.143µs	2.52%	1.304	1.235	0.89%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.024µs; 5.037µs] or [-0.124%; +0.124%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	287.061µs	288.237µs ± 0.564µs	288.154µs ± 0.140µs	288.328µs	288.881µs	289.968µs	294.278µs	2.13%	6.643	65.446	0.20%	0.040µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[288.159µs; 288.315µs] or [-0.027%; +0.027%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`4aaeae8`	1789039397	oscarld/refactor-agent-info-obfuscation-config-format

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	2.625µs	2.662µs ± 0.043µs	2.649µs ± 0.008µs	2.658µs	2.754µs	2.851µs	2.856µs	7.80%	2.903	8.498	1.62%	0.003µs	1	200
tags/replace_trace_tags_v04	execution_time	2.613µs	2.799µs ± 0.067µs	2.830µs ± 0.022µs	2.849µs	2.855µs	2.858µs	2.859µs	1.04%	-1.308	0.349	2.39%	0.005µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
tags/replace_trace_tags	execution_time	[2.656µs; 2.668µs] or [-0.225%; +0.225%]	None	None	None
tags/replace_trace_tags_v04	execution_time	[2.790µs; 2.809µs] or [-0.332%; +0.332%]	None	None	None

Baseline

Omitted due to size.

github-actions · 2026-09-09T12:59:57Z

📚 Documentation Check Results

⚠️ 3094 documentation warning(s) found

📦 `libdd-data-pipeline` - 1305 warning(s)

📦 `libdd-trace-obfuscation` - 864 warning(s)

📦 `libdd-trace-stats` - 925 warning(s)

Updated: 2026-09-10 11:25:29 UTC | Commit: 59c8240 | missing-docs job results

github-actions · 2026-09-09T13:01:47Z

🔒 Cargo Deny Results

✅ No issues found!

📦 `libdd-data-pipeline` - ✅ No issues

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

📦 `libdd-trace-stats` - ✅ No issues

Updated: 2026-09-10 11:26:43 UTC | Commit: 59c8240 | dependency-check job results

datadog-prod-us1-4 · 2026-09-09T13:06:34Z

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 68.75%
• Overall Coverage: 77.73% (+0.06%)

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

🔗 Commit SHA: 4aaeae8 | Docs | View more details | Give us feedback!}

dd-octo-sts · 2026-09-10T11:57:00Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	91.37 MB	91.46 MB	+.09% (+93.25 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.45 MB	8.45 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	102.71 MB	102.80 MB	+.08% (+93.53 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.38 MB	11.39 MB	+.05% (+6.12 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	27.36 MB	27.41 MB	+.19% (+55.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	96.08 KB	96.08 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	185.93 MB	185.97 MB	+.02% (+40.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	804.20 MB	806.76 MB	+.31% (+2.55 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.03 MB	9.05 MB	+.26% (+24.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	96.08 KB	96.08 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	26.26 MB	26.30 MB	+.14% (+40.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	52.70 MB	52.79 MB	+.17% (+92.99 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	23.80 MB	23.85 MB	+.21% (+53.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	97.58 KB	97.58 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	190.73 MB	190.76 MB	+.02% (+40.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	792.13 MB	791.93 MB	--.02% (-209.72 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	6.96 MB	6.98 MB	+.26% (+19.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	97.58 KB	97.58 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	28.21 MB	28.25 MB	+.13% (+40.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	49.74 MB	49.82 MB	+.15% (+79.71 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	81.56 MB	81.65 MB	+.11% (+94.60 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.42 MB	9.44 MB	+.24% (+24.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	97.38 MB	97.47 MB	+.09% (+93.92 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.48 MB	11.50 MB	+.25% (+29.78 KB) 🔍

feat(data-pipeline): refactor agent's /info obfuscation config format

b3a818c

Eldolfin force-pushed the oscarld/refactor-agent-info-obfuscation-config-format branch from e936bbd to b3a818c Compare September 9, 2026 12:57

github-actions Bot added mini-agent data-pipeline labels Sep 9, 2026

Eldolfin added 6 commits September 9, 2026 15:10

fix: lints

10fe24e

fix: make all obfuscation config fields default if missing

f06ddf4

feat: simplify tag_replace_rules, remove unused option

0bd084d

fix(lints): manually implement PartialEq for JsonObfuscatorConfig

0b668fb

fix(tests): rename http.remove_paths_with_digits -> remove_path_digits

2ab0cd4

fix: serde(default) to all obfuscation config components

4aaeae8

Eldolfin changed the title ~~feat(data-pipeline): refactor agent's /info obfuscation config format~~ feat(data-pipeline)!: refactor agent's /info obfuscation config format Sep 10, 2026

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feat(data-pipeline)!: refactor agent's /info obfuscation config format - #2490

feat(data-pipeline)!: refactor agent's /info obfuscation config format#2490
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oscarld/refactor-agent-info-obfuscation-config-format

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Eldolfin commented Sep 9, 2026

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scenario:sql/obfuscate_sql_string

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📚 Documentation Check Results

📦 libdd-data-pipeline - 1305 warning(s)

📦 libdd-trace-obfuscation - 864 warning(s)

📦 libdd-trace-stats - 925 warning(s)

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🔒 Cargo Deny Results

📦 libdd-data-pipeline - ✅ No issues

📦 libdd-trace-obfuscation - ✅ No issues

📦 libdd-trace-stats - ✅ No issues

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datadog-prod-us1-4 Bot commented Sep 9, 2026 • edited by datadog-prod-us1-3 Bot Loading Uh oh! There was an error while loading. Please reload this page.

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dd-octo-sts Bot commented Sep 10, 2026

Artifact Size Benchmark Report

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pr-commenter Bot commented Sep 9, 2026 •

edited

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github-actions Bot commented Sep 9, 2026 •

edited

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📦 `libdd-data-pipeline` - 1305 warning(s)

📦 `libdd-trace-obfuscation` - 864 warning(s)

📦 `libdd-trace-stats` - 925 warning(s)

github-actions Bot commented Sep 9, 2026 •

edited

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📦 `libdd-data-pipeline` - ✅ No issues

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

📦 `libdd-trace-stats` - ✅ No issues

datadog-prod-us1-4 Bot commented Sep 9, 2026 •

edited by datadog-prod-us1-3 Bot

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