refactor(libdd-data-pipeline): health metrics #1433

Aaalibaba42 · 2026-01-07T12:15:58Z

What does this PR do?

Refactor health metrics emission via common API.

Motivation

Logic was duplicated and would have required to be duplicated again if another usecase arose. Now the core logic can be integrated elsewhere more easiely.

Additional Notes

I don't have the full context of this part of the code, I may have blindspots or problems in the implementation.

How to test the change?

I (mostly AI) added a bunch of tests (maybe too much of them even ?) to validate the changes.

…nd TransportErrorType

…ied metric emission

libdd-data-pipeline/src/health_metrics.rs

pr-commenter · 2026-01-07T12:27:47Z

Benchmarks

Comparison

Benchmark execution time: 2026-01-29 11:36:31

Comparing candidate commit b22214f in PR branch jwiriath/APMSP-1584_refactor_health_metrics with baseline commit cd903df in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 metrics, 2 unstable metrics.

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	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	17.670µs	25.967µs ± 9.519µs	18.515µs ± 0.668µs	33.362µs	42.604µs	44.331µs	69.616µs	275.99%	0.932	0.714	36.56%	0.673µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.648µs; 27.286µs] or [-5.080%; +5.080%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	188.157ns	190.723ns ± 2.388ns	190.349ns ± 1.600ns	191.829ns	195.004ns	198.554ns	204.473ns	7.42%	1.780	5.568	1.25%	0.169ns	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	[190.392ns; 191.054ns] or [-0.174%; +0.174%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
benching string interning on wordpress profile	execution_time	160.844µs	161.715µs ± 0.300µs	161.698µs ± 0.152µs	161.854µs	162.212µs	162.839µs	162.943µs	0.77%	0.842	3.014	0.19%	0.021µs	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	[161.673µs; 161.756µs] or [-0.026%; +0.026%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	204.728µs	205.725µs ± 0.557µs	205.668µs ± 0.326µs	206.006µs	206.530µs	207.003µs	209.983µs	2.10%	2.416	15.656	0.27%	0.039µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4762293.958op/s	4860901.535op/s ± 13079.030op/s	4862194.246op/s ± 7695.384op/s	4869132.052op/s	4877744.155op/s	4881039.016op/s	4884527.138op/s	0.46%	-2.322	14.758	0.27%	924.827op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.559µs	18.650µs ± 0.064µs	18.637µs ± 0.026µs	18.663µs	18.780µs	18.919µs	18.977µs	1.82%	2.600	8.438	0.34%	0.005µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	52695273.948op/s	53621175.414op/s ± 183599.912op/s	53656765.420op/s ± 73814.241op/s	53729523.355op/s	53796775.871op/s	53845807.706op/s	53883394.508op/s	0.42%	-2.563	8.223	0.34%	12982.474op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.814µs	10.878µs ± 0.031µs	10.876µs ± 0.020µs	10.896µs	10.926µs	10.954µs	10.992µs	1.07%	0.537	0.794	0.29%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	90975570.629op/s	91933254.506op/s ± 265470.889op/s	91948504.631op/s ± 169841.135op/s	92106314.379op/s	92359109.703op/s	92452707.882op/s	92470892.845op/s	0.57%	-0.515	0.748	0.29%	18771.627op/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	[205.647µs; 205.802µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4859088.907op/s; 4862714.163op/s] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.641µs; 18.658µs] or [-0.048%; +0.048%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[53595730.232op/s; 53646620.596op/s] or [-0.047%; +0.047%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.873µs; 10.882µs] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[91896462.794op/s; 91970046.218op/s] or [-0.040%; +0.040%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	4.981µs	5.070µs ± 0.043µs	5.076µs ± 0.037µs	5.108µs	5.138µs	5.143µs	5.147µs	1.38%	-0.131	-0.937	0.85%	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	[5.064µs; 5.076µs] or [-0.118%; +0.118%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	88.928µs	89.221µs ± 0.146µs	89.202µs ± 0.041µs	89.251µs	89.342µs	89.578µs	90.941µs	1.95%	8.414	95.414	0.16%	0.010µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.201µs; 89.241µs] or [-0.023%; +0.023%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	535.381µs	537.577µs ± 1.591µs	536.956µs ± 0.918µs	538.549µs	540.484µs	542.232µs	543.050µs	1.13%	1.113	0.861	0.30%	0.113µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1841451.063op/s	1860215.863op/s ± 5487.937op/s	1862349.172op/s ± 3183.855op/s	1864448.916op/s	1866046.296op/s	1867615.319op/s	1867829.116op/s	0.29%	-1.098	0.814	0.29%	388.056op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	379.818µs	380.524µs ± 0.321µs	380.510µs ± 0.212µs	380.705µs	381.095µs	381.252µs	381.782µs	0.33%	0.504	0.643	0.08%	0.023µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2619298.513op/s	2627958.683op/s ± 2216.000op/s	2628049.573op/s ± 1462.921op/s	2629536.318op/s	2631173.479op/s	2632530.336op/s	2632837.528op/s	0.18%	-0.498	0.630	0.08%	156.695op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.577µs	189.981µs ± 0.170µs	189.961µs ± 0.110µs	190.080µs	190.249µs	190.496µs	190.547µs	0.31%	0.568	0.677	0.09%	0.012µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5248062.456op/s	5263693.185op/s ± 4698.974op/s	5264225.659op/s ± 3046.181op/s	5267019.843op/s	5270401.817op/s	5273091.938op/s	5274903.632op/s	0.20%	-0.562	0.666	0.09%	332.268op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.454µs	36.555µs ± 0.048µs	36.547µs ± 0.025µs	36.582µs	36.643µs	36.687µs	36.757µs	0.57%	0.854	1.516	0.13%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27205794.834op/s	27355964.107op/s ± 35808.338op/s	27362225.303op/s ± 19000.449op/s	27378942.904op/s	27407926.216op/s	27424569.635op/s	27432172.321op/s	0.26%	-0.843	1.484	0.13%	2532.032op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.936µs	46.048µs ± 0.113µs	46.034µs ± 0.029µs	46.074µs	46.126µs	46.220µs	47.406µs	2.98%	9.045	103.581	0.24%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21094158.489op/s	21716518.321op/s ± 52183.035op/s	21722848.348op/s ± 13895.416op/s	21735765.011op/s	21760320.831op/s	21766128.891op/s	21769493.945op/s	0.21%	-8.871	100.686	0.24%	3689.898op/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	[537.356µs; 537.797µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1859455.288op/s; 1860976.439op/s] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.479µs; 380.568µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2627651.567op/s; 2628265.799op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[189.957µs; 190.004µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5263041.952op/s; 5264344.417op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.549µs; 36.562µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27351001.415op/s; 27360926.798op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.032µs; 46.064µs] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21709286.254op/s; 21723750.387op/s] or [-0.033%; +0.033%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	3.896µs	3.912µs ± 0.002µs	3.912µs ± 0.001µs	3.913µs	3.916µs	3.917µs	3.920µs	0.21%	-1.115	9.855	0.06%	0.000µs	1	200
credit_card/is_card_number/	throughput	255077763.304op/s	255613523.582op/s ± 155427.206op/s	255610446.882op/s ± 87055.807op/s	255704065.710op/s	255805867.821op/s	255880035.926op/s	256670058.820op/s	0.41%	1.135	9.984	0.06%	10990.363op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	77.073µs	77.622µs ± 0.348µs	77.567µs ± 0.199µs	77.794µs	78.287µs	78.489µs	79.087µs	1.96%	0.886	1.161	0.45%	0.025µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12644241.141op/s	12883141.373op/s ± 57599.980op/s	12892054.961op/s ± 33079.904op/s	12921801.989op/s	12959645.223op/s	12968275.532op/s	12974671.831op/s	0.64%	-0.854	1.052	0.45%	4072.934op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.634µs	71.137µs ± 0.320µs	71.115µs ± 0.172µs	71.286µs	71.703µs	72.091µs	72.276µs	1.63%	0.871	0.998	0.45%	0.023µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13835854.174op/s	14057603.864op/s ± 62969.416op/s	14061804.659op/s ± 33921.687op/s	14095885.080op/s	14142276.710op/s	14156675.045op/s	14157401.183op/s	0.68%	-0.841	0.913	0.45%	4452.610op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.894µs	3.913µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.919µs	3.921µs	3.923µs	0.28%	-0.177	6.245	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254899536.075op/s	255588830.477op/s ± 203526.081op/s	255612576.139op/s ± 98682.398op/s	255705644.787op/s	255852359.975op/s	255884742.913op/s	256798426.899op/s	0.46%	0.196	6.335	0.08%	14391.467op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	67.458µs	67.948µs ± 0.304µs	67.923µs ± 0.177µs	68.113µs	68.496µs	68.714µs	68.872µs	1.40%	0.533	-0.073	0.45%	0.021µs	1	200
credit_card/is_card_number/378282246310005	throughput	14519684.424op/s	14717379.538op/s ± 65644.190op/s	14722574.416op/s ± 38452.517op/s	14759993.423op/s	14813614.601op/s	14822276.236op/s	14823967.390op/s	0.69%	-0.511	-0.109	0.44%	4641.745op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	44.649µs	45.224µs ± 0.200µs	45.235µs ± 0.153µs	45.394µs	45.507µs	45.538µs	45.562µs	0.72%	-0.466	-0.496	0.44%	0.014µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21947893.328op/s	22112462.748op/s ± 97977.248op/s	22106829.815op/s ± 74848.095op/s	22174978.928op/s	22302953.451op/s	22341846.577op/s	22396773.573op/s	1.31%	0.483	-0.471	0.44%	6928.038op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.027µs	6.042µs ± 0.016µs	6.039µs ± 0.003µs	6.041µs	6.071µs	6.109µs	6.167µs	2.13%	4.309	24.552	0.26%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	162142331.006op/s	165518026.799op/s ± 422016.936op/s	165593011.996op/s ± 82196.972op/s	165690181.024op/s	165811868.621op/s	165918722.732op/s	165928172.740op/s	0.20%	-4.248	23.814	0.25%	29841.104op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.919µs	3.921µs	0.21%	-1.339	9.432	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255009805.307op/s	255539147.222op/s ± 198209.793op/s	255541161.651op/s ± 133783.416op/s	255677061.067op/s	255787726.469op/s	255930279.049op/s	256889921.362op/s	0.53%	1.362	9.599	0.08%	14015.549op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.954µs	65.680µs ± 0.113µs	65.688µs ± 0.066µs	65.758µs	65.827µs	65.865µs	65.874µs	0.28%	-1.763	8.409	0.17%	0.008µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15180425.308op/s	15225460.748op/s ± 26296.015op/s	15223518.568op/s ± 15199.689op/s	15238594.939op/s	15263006.311op/s	15290088.771op/s	15395544.751op/s	1.13%	1.801	8.691	0.17%	1859.409op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	52.952µs	53.034µs ± 0.036µs	53.035µs ± 0.022µs	53.055µs	53.091µs	53.147µs	53.181µs	0.27%	0.510	1.209	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18803852.143op/s	18855788.754op/s ± 12815.374op/s	18855317.612op/s ± 7773.528op/s	18864269.659op/s	18875666.058op/s	18881992.848op/s	18884863.782op/s	0.16%	-0.504	1.193	0.07%	906.184op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.893µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.914µs	3.917µs	3.920µs	3.924µs	0.29%	-0.687	7.358	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254845149.903op/s	255589694.803op/s ± 201649.633op/s	255587334.266op/s ± 125343.861op/s	255717231.790op/s	255857222.737op/s	255893352.352op/s	256861055.360op/s	0.50%	0.708	7.474	0.08%	14258.782op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	49.742µs	49.816µs ± 0.032µs	49.813µs ± 0.020µs	49.833µs	49.872µs	49.911µs	49.930µs	0.24%	0.690	0.848	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	20027923.509op/s	20073984.586op/s ± 13068.464op/s	20075105.865op/s ± 8116.063op/s	20083030.343op/s	20092713.479op/s	20097142.170op/s	20103845.866op/s	0.14%	-0.685	0.838	0.06%	924.080op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	44.731µs	45.194µs ± 0.194µs	45.206µs ± 0.156µs	45.359µs	45.491µs	45.531µs	45.549µs	0.76%	-0.223	-0.793	0.43%	0.014µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21954398.341op/s	22127153.089op/s ± 94954.524op/s	22120732.570op/s ± 76512.755op/s	22198880.622op/s	22294537.534op/s	22321353.795op/s	22355856.086op/s	1.06%	0.238	-0.781	0.43%	6714.299op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.029µs	6.039µs ± 0.014µs	6.036µs ± 0.002µs	6.040µs	6.061µs	6.085µs	6.189µs	2.52%	7.321	71.383	0.23%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	161580964.357op/s	165579420.517op/s ± 368922.010op/s	165660101.512op/s ± 65095.590op/s	165713124.064op/s	165796844.940op/s	165849918.579op/s	165853839.301op/s	0.12%	-7.189	69.217	0.22%	26086.726op/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	[3.912µs; 3.912µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/	throughput	[255591982.866op/s; 255635064.298op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[77.574µs; 77.671µs] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12875158.569op/s; 12891124.176op/s] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.093µs; 71.182µs] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14048876.909op/s; 14066330.819op/s] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255560623.719op/s; 255617037.234op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[67.906µs; 67.990µs] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14708281.884op/s; 14726477.191op/s] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.197µs; 45.252µs] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[22098884.044op/s; 22126041.452op/s] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.040µs; 6.044µs] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165459539.311op/s; 165576514.288op/s] or [-0.035%; +0.035%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.914µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255511677.251op/s; 255566617.193op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.664µs; 65.695µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15221816.373op/s; 15229105.123op/s] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.029µs; 53.039µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18854012.666op/s; 18857564.841op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255561748.104op/s; 255617641.503op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[49.811µs; 49.820µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[20072173.423op/s; 20075795.750op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.167µs; 45.221µs] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[22113993.305op/s; 22140312.873op/s] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.038µs; 6.041µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165528291.474op/s; 165630549.559op/s] or [-0.031%; +0.031%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	48.833ms	49.134ms ± 1.427ms	48.953ms ± 0.047ms	49.005ms	49.161ms	52.622ms	64.496ms	31.75%	9.471	91.570	2.90%	0.101ms	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	[48.936ms; 49.331ms] or [-0.402%; +0.402%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	14.574ms	14.644ms ± 0.040ms	14.640ms ± 0.017ms	14.656ms	14.711ms	14.774ms	14.898ms	1.76%	2.347	9.951	0.27%	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	[14.639ms; 14.650ms] or [-0.038%; +0.038%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	33.432µs	34.119µs ± 1.152µs	33.589µs ± 0.065µs	33.692µs	36.559µs	36.612µs	38.000µs	13.13%	1.720	1.116	3.37%	0.081µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.959µs; 34.278µs] or [-0.468%; +0.468%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	144.365µs	146.358µs ± 1.989µs	146.033µs ± 0.520µs	146.607µs	147.925µs	154.230µs	167.022µs	14.37%	6.833	61.430	1.36%	0.141µs	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	[146.082µs; 146.633µs] or [-0.188%; +0.188%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	10.611ms	10.637ms ± 0.012ms	10.636ms ± 0.008ms	10.643ms	10.656ms	10.670ms	10.701ms	0.61%	1.276	4.369	0.12%	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	[10.635ms; 10.638ms] or [-0.016%; +0.016%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	2.327µs	2.379µs ± 0.018µs	2.378µs ± 0.005µs	2.382µs	2.408µs	2.414µs	2.523µs	6.10%	2.306	19.121	0.76%	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	[2.377µs; 2.382µs] or [-0.106%; +0.106%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	3.871ms	3.880ms ± 0.007ms	3.879ms ± 0.002ms	3.882ms	3.885ms	3.887ms	3.966ms	2.24%	9.241	109.941	0.18%	0.000ms	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	[3.879ms; 3.881ms] or [-0.025%; +0.025%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	12.746ms	13.076ms ± 0.074ms	13.080ms ± 0.037ms	13.115ms	13.177ms	13.210ms	13.350ms	2.06%	-0.845	4.969	0.57%	0.005ms	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	[13.065ms; 13.086ms] or [-0.079%; +0.079%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	242.572ns	254.239ns ± 14.203ns	247.162ns ± 3.125ns	258.754ns	286.947ns	290.480ns	291.347ns	17.88%	1.349	0.372	5.57%	1.004ns	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	[252.271ns; 256.208ns] or [-0.774%; +0.774%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	545.657µs	546.606µs ± 0.632µs	546.392µs ± 0.310µs	546.871µs	547.965µs	548.154µs	548.498µs	0.39%	1.084	0.335	0.12%	0.045µs	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	[546.518µs; 546.693µs] or [-0.016%; +0.016%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`b22214f`	1769685617	jwiriath/APMSP-1584_refactor_health_metrics

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	1.190µs	3.262µs ± 1.438µs	3.021µs ± 0.034µs	3.070µs	3.711µs	14.146µs	14.775µs	389.14%	7.206	53.647	43.98%	0.102µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.062µs; 3.461µs] or [-6.111%; +6.111%]	None	None	None

Baseline

Omitted due to size.

codecov-commenter · 2026-01-07T12:44:19Z

Codecov Report

❌ Patch coverage is 81.40351% with 106 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.07%. Comparing base (cd903df) to head (b22214f).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1433      +/-   ##
==========================================
+ Coverage   70.96%   71.07%   +0.10%     
==========================================
  Files         421      422       +1     
  Lines       68438    68640     +202     
==========================================
+ Hits        48567    48784     +217     
+ Misses      19871    19856      -15

Components	Coverage Δ
libdd-crashtracker	`61.38% <ø> (-0.03%)`	⬇️
libdd-crashtracker-ffi	`16.50% <ø> (ø)`
libdd-alloc	`98.73% <ø> (ø)`
libdd-data-pipeline	`86.84% <81.40%> (+0.56%)`	⬆️
libdd-data-pipeline-ffi	`78.57% <ø> (ø)`
libdd-common	`80.97% <ø> (ø)`
libdd-common-ffi	`74.54% <ø> (ø)`
libdd-telemetry	`59.82% <ø> (+0.03%)`	⬆️
libdd-telemetry-ffi	`21.17% <ø> (ø)`
libdd-dogstatsd-client	`83.75% <ø> (ø)`
datadog-ipc	`82.70% <ø> (+0.10%)`	⬆️
libdd-profiling	`81.49% <ø> (ø)`
libdd-profiling-ffi	`64.71% <ø> (ø)`
datadog-sidecar	`34.94% <ø> (ø)`
datdog-sidecar-ffi	`10.25% <ø> (ø)`
spawn-worker	`55.18% <ø> (ø)`
libdd-tinybytes	`93.43% <ø> (ø)`
libdd-trace-normalization	`82.33% <ø> (ø)`
libdd-trace-obfuscation	`94.17% <ø> (ø)`
libdd-trace-protobuf	`61.18% <ø> (ø)`
libdd-trace-utils	`89.45% <ø> (ø)`
datadog-tracer-flare	`63.49% <ø> (ø)`
libdd-log	`75.57% <ø> (ø)`

🚀 New features to boost your workflow:

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

dd-octo-sts · 2026-01-07T13:01:53Z

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	91.23 MB	91.21 MB	--.02% (-27.18 KB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.38 MB	8.38 MB	0% (0 B) 👌

aarch64-apple-darwin

Artifact	Baseline	Commit	Change
/aarch64-apple-darwin/lib/libdatadog_profiling.a	62.36 MB	62.35 MB	--.01% (-12.62 KB) 💪
/aarch64-apple-darwin/lib/libdatadog_profiling.dylib	9.41 MB	9.41 MB	-0% (-496 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.67 MB	10.67 MB	-0% (-824 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	105.55 MB	105.51 MB	--.03% (-41.31 KB) 💪

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	25.08 MB	25.07 MB	--.03% (-9.50 KB) 💪
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	73.49 KB	73.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	166.29 MB	166.26 MB	--.01% (-24.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	830.26 MB	829.65 MB	--.07% (-626.79 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.55 MB	9.54 MB	--.08% (-8.50 KB) 💪
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	73.49 KB	73.49 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	22.94 MB	22.94 MB	--.03% (-8.00 KB) 💪
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	47.92 MB	47.89 MB	--.05% (-24.62 KB) 💪

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	21.15 MB	21.14 MB	--.04% (-9.00 KB) 💪
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	74.62 KB	74.62 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	170.25 MB	170.23 MB	-0% (-16.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	817.21 MB	816.59 MB	--.07% (-635.00 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.22 MB	7.21 MB	--.07% (-5.50 KB) 💪
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	74.62 KB	74.62 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	24.52 MB	24.51 MB	--.03% (-8.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	43.63 MB	43.61 MB	--.05% (-22.38 KB) 💪

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	79.74 MB	79.72 MB	--.02% (-21.66 KB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.85 MB	9.84 MB	--.03% (-4.00 KB) 💪

x86_64-apple-darwin

Artifact	Baseline	Commit	Change
/x86_64-apple-darwin/lib/libdatadog_profiling.a	64.25 MB	64.23 MB	--.01% (-12.85 KB) 💪
/x86_64-apple-darwin/lib/libdatadog_profiling.dylib	10.44 MB	10.44 MB	--.04% (-4.45 KB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	99.57 MB	99.54 MB	--.02% (-28.30 KB) 💪
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.41 MB	11.40 MB	--.03% (-4.46 KB) 💪

libdd-data-pipeline/src/trace_exporter/metrics.rs

libdd-data-pipeline/src/health_metrics.rs

ekump · 2026-01-21T19:09:28Z

libdd-data-pipeline/src/trace_exporter/transport.rs

-                    .unwrap_or_else(|_| tag!("type", "unknown"));
-                self.emit_metric(
-                    HealthMetric::Count(health_metrics::TRANSPORT_TRACES_FAILED, 1),
-                    Some(vec![&resp_tag, &type_tag]),


Why were we sending the status code in two different tags, and why is it ok that we're only sending it in one tag now?

I don't know. I didn't catch that when refactoring, I just saw there was a codepath for the status code and handled it in the refactored types. And I immediately can't figure out if it's relevant or not, I'll look for some kind of spec.

I'm not sure why we'd need to send redundant tags, hopefully it was a mistake in the initial implementation. But confirm the correct behavior before merging.

ajgajg1134

Overall looks good to me! test coverage seems appropriate, just one small question about reusing the emitter

libdd-data-pipeline/src/trace_exporter/mod.rs

Aaalibaba42 · 2026-01-29T10:51:01Z

/mergegate trigger

gh-worker-devflow-routing-ef8351 · 2026-01-29T10:51:04Z

View all feedbacks in Devflow UI.

2026-01-29 10:51:04 UTC ℹ️ Start processing command /mergegate trigger

2026-01-29 10:51:12 UTC ℹ️ Devflow: /mergegate trigger

Merge gate status on libdatadog #1433 synced on DB: success

Aaalibaba42 · 2026-01-29T10:51:30Z

/merge

gh-worker-devflow-routing-ef8351 · 2026-01-29T10:51:34Z

View all feedbacks in Devflow UI.

2026-01-29 10:51:34 UTC ℹ️ Start processing command /merge

2026-01-29 10:51:39 UTC ℹ️ MergeQueue: pull request added to the queue

The expected merge time in main is approximately 33m (p90).

2026-01-29 11:18:11 UTC ❌ MergeQueue: The checks failed on this merge request

Tests failed on this commit 431b4ce:

What to do next?

Investigate the failures and when ready, re-add your pull request to the queue!
If your PR checks are green, try to rebase/merge. It might be because the CI run is a bit old.
Any question, go check the FAQ.

github-actions · 2026-01-29T10:53:19Z

📚 Documentation Check Results

⚠️ 768 documentation warning(s) found

📦 `libdd-data-pipeline` - 768 warning(s)

Updated: 2026-01-29 11:21:00 UTC | Commit: bff564b | missing-docs job results

github-actions · 2026-01-29T10:56:07Z

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-data-pipeline` - 1 error(s)

Show output

error[vulnerability]: Logging user input may result in poisoning logs with ANSI escape sequences
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:307:1
    │
307 │ tracing-subscriber 0.3.19 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2025-0055
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2025-0055
    ├ Previous versions of tracing-subscriber were vulnerable to ANSI escape sequence injection attacks. Untrusted user input containing ANSI escape sequences could be injected into terminal output when logged, potentially allowing attackers to:
      
      - Manipulate terminal title bars
      - Clear screens or modify terminal display
      - Potentially mislead users through terminal manipulation
      
      In isolation, impact is minimal, however security issues have been found in terminal emulators that enabled an attacker to use ANSI escape sequences via logs to exploit vulnerabilities in the terminal emulator.
      
      This was patched in [PR #3368](https://github.com/tokio-rs/tracing/pull/3368) to escape ANSI control characters from user input.
    ├ Announcement: https://github.com/advisories/GHSA-xwfj-jgwm-7wp5
    ├ Solution: Upgrade to >=0.3.20 (try `cargo update -p tracing-subscriber`)
    ├ tracing-subscriber v0.3.19
      ├── libdd-log v1.0.0
      │   └── (dev) libdd-data-pipeline v1.0.0
      ├── (dev) libdd-telemetry v2.0.0
      │   └── libdd-data-pipeline v1.0.0 (*)
      └── tracing-appender v0.2.3
          └── libdd-log v1.0.0 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-01-29 11:24:19 UTC | Commit: bff564b | dependency-check job results

Aaalibaba42 added 3 commits January 7, 2026 12:13

feat(data-pipeline): add unified health metrics API with SendResult a…

0d62666

…nd TransportErrorType

feat(data-pipeline): integrate SendResult into TraceExporter for unif…

4a2c12c

…ied metric emission

feat(data-pipeline): emit health metric on trace serialization errors

0756bdb

github-actions bot added the data-pipeline label Jan 7, 2026

Aaalibaba42 commented Jan 7, 2026

View reviewed changes

libdd-data-pipeline/src/health_metrics.rs Outdated Show resolved Hide resolved

chore(data-pipeline): format

0075315

Merge branch 'main' into jwiriath/APMSP-1584_refactor_health_metrics

bc805f6

Aaalibaba42 marked this pull request as ready for review January 7, 2026 12:55

Aaalibaba42 requested a review from a team as a code owner January 7, 2026 12:55