feat: [SVLS-6272] fips features for bottlecap

[apiarian-datadog]

What does this PR do?

Adds FIPS support. This is intended for use with bottlecap for now, so the changes here are very focused on bottlecap usage: DataDog/datadog-lambda-extension#644 .

Additional Notes

I'm not a rust expert, please advise better, cleaner, more correct ways to do this.

How to test the change?

Built and deployed bottlecap in all of our various self-monitoring stacks.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-04-24 16:58:13

Comparing candidate commit 1a60690 in PR branch aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap with baseline commit d433dd2 in branch main.

Found 17 performance improvements and 2 performance regressions! Performance is the same for 33 metrics, 2 unstable metrics.

scenario:credit_card/is_card_number/ 3782-8224-6310-005

• 🟩 execution_time [-4.730µs; -4.553µs] or [-5.711%; -5.497%]
• 🟩 throughput [+703233.924op/s; +731436.060op/s] or [+5.824%; +6.058%]

scenario:credit_card/is_card_number/ 378282246310005

• 🟩 execution_time [-5.892µs; -5.764µs] or [-7.643%; -7.477%]
• 🟩 throughput [+1049380.754op/s; +1072188.321op/s] or [+8.089%; +8.265%]

scenario:credit_card/is_card_number/378282246310005

• 🟩 execution_time [-6.143µs; -5.980µs] or [-8.327%; -8.106%]
• 🟩 throughput [+1197329.274op/s; +1229362.010op/s] or [+8.832%; +9.069%]

scenario:credit_card/is_card_number/x371413321323331

• 🟩 execution_time [-523.971ns; -504.202ns] or [-7.977%; -7.676%]
• 🟩 throughput [+12680468.773op/s; +13150081.365op/s] or [+8.328%; +8.637%]

scenario:credit_card/is_card_number_no_luhn/x371413321323331

• 🟩 execution_time [-534.808ns; -511.117ns] or [-8.120%; -7.760%]
• 🟩 throughput [+12798505.765op/s; +13357326.620op/s] or [+8.428%; +8.796%]

scenario:normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...

• 🟥 execution_time [+9.565µs; +9.700µs] or [+4.582%; +4.647%]
• 🟥 throughput [-212759.272op/s; -209883.641op/s] or [-4.441%; -4.381%]

scenario:normalization/normalize_name/normalize_name/bad-name

• 🟩 execution_time [-1.056µs; -1.040µs] or [-5.673%; -5.584%]
• 🟩 throughput [+3177640.529op/s; +3229428.966op/s] or [+5.916%; +6.013%]

scenario:normalization/normalize_name/normalize_name/good

• 🟩 execution_time [-753.146ns; -739.313ns] or [-6.807%; -6.682%]
• 🟩 throughput [+6477033.379op/s; +6592969.492op/s] or [+7.167%; +7.295%]

scenario:normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...

• 🟩 execution_time [-36.974µs; -36.577µs] or [-7.326%; -7.247%]
• 🟩 throughput [+154850.905op/s; +156644.988op/s] or [+7.815%; +7.906%]

scenario:sql/obfuscate_sql_string

• 🟩 execution_time [-2.832µs; -2.753µs] or [-4.135%; -4.020%]

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	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	3.913µs ± 0.003µs	3.914µs ± 0.002µs	3.915µs	3.917µs	3.919µs	3.922µs	0.21%	-1.050	6.751	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254996499.784op/s	255530016.567op/s ± 177597.829op/s	255524901.242op/s ± 111951.411op/s	255649238.045op/s	255809810.105op/s	255882963.826op/s	256645470.991op/s	0.44%	1.066	6.851	0.07%	12558.063op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	77.038µs	78.181µs ± 0.565µs	78.109µs ± 0.372µs	78.505µs	79.196µs	79.485µs	79.942µs	2.35%	0.393	-0.307	0.72%	0.040µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12509140.642op/s	12791531.527op/s ± 92131.597op/s	12802671.737op/s ± 60980.692op/s	12857667.096op/s	12924564.135op/s	12958243.401op/s	12980561.257op/s	1.39%	-0.360	-0.349	0.72%	6514.688op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	70.689µs	71.262µs ± 0.273µs	71.248µs ± 0.208µs	71.473µs	71.672µs	71.939µs	71.991µs	1.04%	0.158	-0.495	0.38%	0.019µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13890549.953op/s	14032977.762op/s ± 53766.129op/s	14035566.925op/s ± 40983.967op/s	14074801.200op/s	14121070.685op/s	14134264.706op/s	14146479.674op/s	0.79%	-0.141	-0.510	0.38%	3801.839op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.892µs	3.914µs ± 0.003µs	3.914µs ± 0.001µs	3.915µs	3.918µs	3.921µs	3.921µs	0.19%	-2.314	19.857	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255014893.828op/s	255487365.589op/s ± 176816.574op/s	255491824.763op/s ± 85872.992op/s	255575496.701op/s	255686263.445op/s	255940227.676op/s	256907814.923op/s	0.55%	2.348	20.163	0.07%	12502.820op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	67.046µs	67.710µs ± 0.357µs	67.687µs ± 0.234µs	67.937µs	68.349µs	68.776µs	68.931µs	1.84%	0.615	0.772	0.53%	0.025µs	1	200
credit_card/is_card_number/378282246310005	throughput	14507208.269op/s	14769378.837op/s ± 77567.946op/s	14773855.498op/s ± 51000.260op/s	14821632.549op/s	14891497.416op/s	14905926.390op/s	14915078.782op/s	0.96%	-0.577	0.687	0.52%	5484.882op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	51.753µs	51.850µs ± 0.033µs	51.847µs ± 0.017µs	51.865µs	51.907µs	51.961µs	51.966µs	0.23%	0.559	1.453	0.06%	0.002µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	19243257.407op/s	19286347.195op/s ± 12328.323op/s	19287541.213op/s ± 6378.159op/s	19293166.360op/s	19305714.879op/s	19313610.825op/s	19322717.719op/s	0.18%	-0.553	1.445	0.06%	871.744op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.028µs	6.054µs ± 0.027µs	6.042µs ± 0.006µs	6.073µs	6.112µs	6.148µs	6.197µs	2.56%	2.033	5.059	0.45%	0.002µs	1	200
credit_card/is_card_number/x371413321323331	throughput	161381228.054op/s	165173505.203op/s ± 736105.045op/s	165513959.896op/s ± 175019.872op/s	165646291.856op/s	165781493.297op/s	165851523.514op/s	165891436.148op/s	0.23%	-1.994	4.812	0.44%	52050.487op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.914µs ± 0.003µs	3.914µs ± 0.001µs	3.915µs	3.918µs	3.920µs	3.921µs	0.18%	-1.565	10.715	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255056449.201op/s	255519324.370op/s ± 181655.890op/s	255518106.447op/s ± 92749.003op/s	255607565.999op/s	255783194.489op/s	255937907.975op/s	256779103.968op/s	0.49%	1.587	10.877	0.07%	12845.011op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.989µs	66.375µs ± 0.283µs	66.275µs ± 0.139µs	66.587µs	66.880µs	67.226µs	67.334µs	1.60%	1.079	0.513	0.43%	0.020µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	14851285.521op/s	15066073.575op/s ± 63957.724op/s	15088684.242op/s ± 31695.763op/s	15113224.073op/s	15136917.509op/s	15147897.669op/s	15154043.867op/s	0.43%	-1.062	0.458	0.42%	4522.494op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	59.508µs	59.655µs ± 0.062µs	59.647µs ± 0.041µs	59.692µs	59.766µs	59.808µs	59.858µs	0.35%	0.444	0.188	0.10%	0.004µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	16706138.233op/s	16763183.218op/s ± 17399.075op/s	16765314.241op/s ± 11523.262op/s	16775898.486op/s	16788821.839op/s	16798937.165op/s	16804565.801op/s	0.23%	-0.438	0.179	0.10%	1230.300op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.913µs ± 0.003µs	3.913µs ± 0.001µs	3.914µs	3.916µs	3.918µs	3.919µs	0.15%	-1.578	8.153	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255196217.148op/s	255582797.409op/s ± 178690.370op/s	255572443.826op/s ± 95025.820op/s	255664775.786op/s	255883045.940op/s	255975102.653op/s	256756501.653op/s	0.46%	1.594	8.273	0.07%	12635.317op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	56.286µs	56.519µs ± 0.110µs	56.518µs ± 0.074µs	56.586µs	56.719µs	56.800µs	56.857µs	0.60%	0.395	0.178	0.19%	0.008µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17588065.569op/s	17693078.637op/s ± 34404.863op/s	17693371.780op/s ± 23173.548op/s	17717947.300op/s	17747714.524op/s	17762900.092op/s	17766506.582op/s	0.41%	-0.383	0.162	0.19%	2432.791op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	51.759µs	51.844µs ± 0.037µs	51.841µs ± 0.014µs	51.854µs	51.896µs	51.948µs	52.090µs	0.48%	2.573	13.974	0.07%	0.003µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19197722.215op/s	19288487.592op/s ± 13576.951op/s	19289837.149op/s ± 5135.125op/s	19295041.174op/s	19302165.896op/s	19317866.363op/s	19320328.850op/s	0.16%	-2.553	13.834	0.07%	960.035op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.028µs	6.063µs ± 0.032µs	6.044µs ± 0.010µs	6.079µs	6.116µs	6.150µs	6.155µs	1.84%	1.032	0.077	0.53%	0.002µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	162474247.881op/s	164928296.784op/s ± 870910.261op/s	165464571.068op/s ± 269660.914op/s	165602510.313op/s	165736177.924op/s	165858878.918op/s	165903240.774op/s	0.27%	-1.016	0.028	0.53%	61582.655op/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	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255505403.216op/s; 255554629.918op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.103µs; 78.259µs] or [-0.100%; +0.100%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12778762.974op/s; 12804300.080op/s] or [-0.100%; +0.100%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.224µs; 71.300µs] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14025526.293op/s; 14040429.230op/s] or [-0.053%; +0.053%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.914µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255462860.512op/s; 255511870.665op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[67.660µs; 67.759µs] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14758628.666op/s; 14780129.008op/s] or [-0.073%; +0.073%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[51.846µs; 51.855µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19284638.608op/s; 19288055.782op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.051µs; 6.058µs] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165071488.123op/s; 165275522.282op/s] or [-0.062%; +0.062%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255494148.610op/s; 255544500.129op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[66.336µs; 66.415µs] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15057209.649op/s; 15074937.500op/s] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[59.646µs; 59.663µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[16760771.873op/s; 16765594.562op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255558032.642op/s; 255607562.176op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[56.504µs; 56.535µs] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[17688310.453op/s; 17697846.820op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[51.839µs; 51.849µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19286605.957op/s; 19290369.227op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.059µs; 6.068µs] or [-0.074%; +0.074%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[164807596.998op/s; 165048996.570op/s] or [-0.073%; +0.073%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	462.419µs	467.910µs ± 1.365µs	468.069µs ± 0.898µs	468.897µs	469.609µs	470.134µs	473.289µs	1.12%	-0.478	1.552	0.29%	0.097µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2112872.073op/s	2137179.098op/s ± 6245.407op/s	2136435.709op/s ± 4089.389op/s	2141036.256op/s	2148006.495op/s	2150965.569op/s	2162542.130op/s	1.22%	0.507	1.563	0.29%	441.617op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	450.202µs	451.205µs ± 0.961µs	451.096µs ± 0.280µs	451.391µs	451.946µs	457.260µs	458.666µs	1.68%	5.662	39.040	0.21%	0.068µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2180237.153op/s	2216296.342op/s ± 4665.447op/s	2216821.184op/s ± 1377.731op/s	2218125.591op/s	2220345.327op/s	2221081.832op/s	2221226.866op/s	0.20%	-5.605	38.482	0.21%	329.897op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	179.840µs	180.353µs ± 0.421µs	180.291µs ± 0.187µs	180.519µs	180.738µs	180.962µs	185.231µs	2.74%	7.860	88.261	0.23%	0.030µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5398655.840op/s	5544703.927op/s ± 12713.803op/s	5546599.076op/s ± 5741.434op/s	5551455.903op/s	5555815.505op/s	5558500.439op/s	5560500.483op/s	0.25%	-7.663	85.208	0.23%	899.002op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	38.991µs	39.165µs ± 0.066µs	39.163µs ± 0.039µs	39.206µs	39.277µs	39.351µs	39.386µs	0.57%	0.245	0.679	0.17%	0.005µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	25389419.392op/s	25532754.429op/s ± 43024.949op/s	25534584.234op/s ± 25151.835op/s	25557278.868op/s	25601027.029op/s	25637804.671op/s	25647084.846op/s	0.44%	-0.232	0.667	0.17%	3042.323op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	48.265µs	48.374µs ± 0.046µs	48.369µs ± 0.028µs	48.397µs	48.453µs	48.508µs	48.563µs	0.40%	0.979	1.517	0.10%	0.003µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20591731.484op/s	20672388.266op/s ± 19737.016op/s	20674447.464op/s ± 11829.517op/s	20686116.161op/s	20699324.320op/s	20704465.974op/s	20718869.428op/s	0.21%	-0.972	1.495	0.10%	1395.618op/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	[467.721µs; 468.100µs] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2136313.545op/s; 2138044.651op/s] or [-0.040%; +0.040%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[451.072µs; 451.338µs] or [-0.030%; +0.030%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2215649.756op/s; 2216942.928op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[180.295µs; 180.412µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5542941.916op/s; 5546465.938op/s] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[39.156µs; 39.175µs] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[25526791.585op/s; 25538717.273op/s] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[48.367µs; 48.380µs] or [-0.013%; +0.013%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[20669652.906op/s; 20675123.627op/s] or [-0.013%; +0.013%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	2.314µs	2.380µs ± 0.018µs	2.379µs ± 0.007µs	2.386µs	2.411µs	2.422µs	2.428µs	2.08%	-0.512	2.238	0.75%	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 [-0.105%; +0.105%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	4.985µs	5.046µs ± 0.024µs	5.051µs ± 0.019µs	5.066µs	5.078µs	5.080µs	5.082µs	0.61%	-0.436	-0.848	0.48%	0.002µs	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	[5.042µs; 5.049µs] or [-0.067%; +0.067%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	32.244µs	32.964µs ± 0.940µs	32.376µs ± 0.059µs	34.294µs	34.382µs	35.359µs	35.669µs	10.17%	0.981	-0.795	2.84%	0.066µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[32.834µs; 33.095µs] or [-0.395%; +0.395%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	1.208µs	3.237µs ± 1.485µs	3.038µs ± 0.022µs	3.055µs	3.689µs	14.151µs	15.997µs	426.55%	7.474	56.865	45.76%	0.105µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.032µs; 3.443µs] or [-6.358%; +6.358%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	17.674µs	25.991µs ± 11.061µs	17.992µs ± 0.172µs	35.285µs	44.072µs	54.392µs	97.134µs	439.87%	1.943	7.750	42.45%	0.782µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.458µs; 27.524µs] or [-5.898%; +5.898%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	217.509µs	218.363µs ± 0.459µs	218.346µs ± 0.346µs	218.669µs	219.143µs	219.431µs	220.063µs	0.79%	0.486	0.131	0.21%	0.032µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4544163.295op/s	4579545.460op/s ± 9607.535op/s	4579897.157op/s ± 7237.363op/s	4587628.406op/s	4593728.999op/s	4595998.424op/s	4597503.661op/s	0.38%	-0.474	0.104	0.21%	679.355op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.448µs	17.571µs ± 0.049µs	17.570µs ± 0.033µs	17.599µs	17.652µs	17.693µs	17.715µs	0.83%	0.352	0.133	0.28%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	56448566.653op/s	56913777.841op/s ± 157714.689op/s	56914804.950op/s ± 106298.345op/s	57027275.079op/s	57148072.596op/s	57279765.602op/s	57312420.031op/s	0.70%	-0.335	0.120	0.28%	11152.113op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.268µs	10.319µs ± 0.023µs	10.314µs ± 0.017µs	10.336µs	10.355µs	10.369µs	10.376µs	0.59%	-0.015	-0.545	0.22%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	96379230.938op/s	96912923.393op/s ± 218286.273op/s	96952185.929op/s ± 160227.849op/s	97047065.322op/s	97307505.049op/s	97342283.751op/s	97388935.725op/s	0.45%	0.024	-0.545	0.22%	15435.170op/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	[218.300µs; 218.427µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4578213.948op/s; 4580876.972op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.564µs; 17.577µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[56891920.102op/s; 56935635.580op/s] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.315µs; 10.322µs] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[96882671.015op/s; 96943175.771op/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	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	72.774ms	73.323ms ± 0.361ms	73.256ms ± 0.218ms	73.552ms	73.822ms	74.157ms	76.110ms	3.90%	2.587	16.188	0.49%	0.026ms	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	[73.272ms; 73.373ms] or [-0.068%; +0.068%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	246.427ns	256.600ns ± 14.199ns	249.382ns ± 1.669ns	256.770ns	288.488ns	302.774ns	305.115ns	22.35%	1.837	2.464	5.52%	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	[254.632ns; 258.568ns] or [-0.767%; +0.767%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	65.449µs	65.690µs ± 0.224µs	65.667µs ± 0.061µs	65.730µs	65.861µs	66.151µs	68.371µs	4.12%	8.803	101.193	0.34%	0.016µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[65.659µs; 65.721µs] or [-0.047%; +0.047%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	5.967ms	5.976ms ± 0.011ms	5.975ms ± 0.003ms	5.978ms	5.983ms	6.021ms	6.100ms	2.09%	7.875	78.704	0.18%	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	[5.975ms; 5.978ms] or [-0.026%; +0.026%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	1a60690	1745513181	aleksandr.pasechnik/svls-6242-fips-features-for-bottlecap

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	147.161µs	148.126µs ± 0.320µs	148.074µs ± 0.154µs	148.252µs	148.670µs	148.953µs	150.387µs	1.56%	2.059	12.037	0.22%	0.023µs	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	[148.082µs; 148.171µs] or [-0.030%; +0.030%]	None	None	None

Baseline

Omitted due to size.

[r1viollet]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	76.93 MB	65.97 MB	--14.25% (-10.96 MB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	23.72 MB	20.29 MB	--14.43% (-3.42 MB) 💪
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.70 MB	8.03 MB	+4.22% (+333.51 KB) ⚠️

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	7.63 MB	8.00 MB	+4.86% (+380.34 KB) ⚠️
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	22.32 MB	22.73 MB	+1.82% (+416.42 KB) ⚠️
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	71.28 MB	72.72 MB	+2.01% (+1.43 MB) ⚠️

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	16.73 MB	16.73 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	62.20 KB	62.20 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	112.78 MB	112.77 MB	-0% (-8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	632.36 MB	632.34 MB	-0% (-22.32 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	4.99 MB	4.99 MB	+.03% (+2.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	62.20 KB	62.20 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	15.87 MB	15.87 MB	+.04% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	26.40 MB	26.41 MB	+.06% (+16.93 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	14.14 MB	14.15 MB	+.07% (+11.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	63.16 KB	63.16 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	114.58 MB	114.71 MB	+.10% (+128.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	624.22 MB	624.95 MB	+.11% (+743.56 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	3.77 MB	3.78 MB	+.03% (+1.50 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	63.16 KB	63.16 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	16.48 MB	16.49 MB	+.04% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	24.32 MB	24.33 MB	+.05% (+13.91 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	66.30 MB	57.52 MB	--13.23% (-8.77 MB) 💪
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.19 MB	8.43 MB	+2.92% (+244.96 KB) ⚠️
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so.debug	22.90 MB	18.72 MB	--18.25% (-4.17 MB) 💪

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	67.27 MB	68.60 MB	+1.97% (+1.33 MB) ⚠️
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	8.07 MB	8.43 MB	+4.36% (+361.42 KB) ⚠️
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so.debug	20.55 MB	20.90 MB	+1.70% (+359.03 KB) ⚠️

[bantonsson]

Looks good with cargo tree -p ddcommon --features fips

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 71.38%. Comparing base (d433dd2) to head (1a60690).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1028      +/-   ##
==========================================
+ Coverage   71.35%   71.38%   +0.03%     
==========================================
  Files         329      329              
  Lines       49165    49182      +17     
==========================================
+ Hits        35082    35110      +28     
+ Misses      14083    14072      -11     

Components	Coverage Δ
crashtracker	42.84% <ø> (ø)
crashtracker-ffi	6.30% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	90.78% <ø> (-0.15%)	⬇️
data-pipeline-ffi	89.02% <ø> (ø)
ddcommon	78.29% <ø> (ø)
ddcommon-ffi	66.37% <ø> (ø)
ddtelemetry	60.19% <ø> (ø)
ddtelemetry-ffi	21.32% <ø> (ø)
dogstatsd-client	82.57% <ø> (ø)
ipc	82.54% <ø> (ø)
profiling	77.49% <ø> (ø)
profiling-ffi	62.12% <ø> (ø)
sidecar	42.85% <ø> (+0.26%)	⬆️
sidecar-ffi	15.32% <ø> (+2.04%)	⬆️
spawn-worker	54.37% <ø> (ø)
tinybytes	90.54% <ø> (ø)
trace-normalization	98.24% <ø> (ø)
trace-obfuscation	94.16% <ø> (ø)
trace-protobuf	78.50% <ø> (ø)
trace-utils	89.33% <ø> (-0.14%)	⬇️

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[morrisonlevi]

Honestly, the crypto provider and certificates stuff is a mess. We're shipping ring and aws-lc-rs, and rust-native-certs and webpki.

But I won't hold status quo against you. Just know in the future if we straighten it out, you may need to adjust features and code to match.

[apiarian-datadog]

Honestly, the crypto provider and certificates stuff is a mess. We're shipping ring and aws-lc-rs, and rust-native-certs and webpki.

But I won't hold status quo against you. Just know in the future if we straighten it out, you may need to adjust features and code to match.

ya, this was pretty tricky to navigate. we have a build script in bottlecap which checks that ring (and a few other non-fips-ish dependencies) aren't included at compile time, so we should hopefully be able to catch it when these things get updated in libdatadog

[bantonsson]

I would like a comment here to explain what this is doing.

[apiarian-datadog]

done.

[duncanista]

Suggested change

	#[cfg(any(not(feature = "fips"), coverage))]
	#[cfg(any(not(feature = "fips"), coverage))]

Can't there be a default here? instead of doing not feature?

[apiarian-datadog]

how would we write that in a cfg line? we want this to be run in both coverage checks or for a non-fips build