[crashtracking] upload to both telemetry intake and errors intake

[gyuheon0h]

What does this PR do?

With the new Errors intake, we want to support dual uploads to Errors intake and the current telemetry intake

Motivation

What inspired you to submit this pull request?

Additional Notes

Errors Intake endpoints and conditions; this was largely follows how Telemetry handles CrashInfo uploads

1. Agent Proxy Mode

• Endpoint: http://localhost:8126/evp_proxy/v4/api/v2/errorsintake
• Path: /evp_proxy/v4/api/v2/errorsintake
• When used: Default behavior - when either condition is true:
  • No DD_API_KEY is set
  • _DD_DIRECT_SUBMISSION_ENABLED is false/unset
• Headers: X-Datadog-EVP-Subdomain: event-platform-intake
• Authentication: No API key needed (agent handles it)

2. Direct Errors Intake Submission

• Endpoint: https://event-platform-intake.{site}/api/v2/errorsintake
• Path: /api/v2/errorsintake
• When used: When both conditions are met:
  • _DD_DIRECT_SUBMISSION_ENABLED=true
  • DD_API_KEY is set
• Headers: DD-API-KEY: {api_key} (added automatically)
• Default site: event-platform-intake.datad0g.com

3. Custom Agent Host/Port

• Endpoint: http://{host}:{port}/evp_proxy/v4/api/v2/errorsintake
• When used: Agent proxy mode with custom location
• Config: DD_AGENT_HOST and/or DD_TRACE_AGENT_PORT
• Defaults: host=localhost, port=8126

4. Unix Domain Socket (UDS)

• Endpoint: unix:///var/run/datadog/apm.socket/evp_proxy/v4/api/v2/errorsintake
• When used: Unix systems when socket file exists at /var/run/datadog/apm.socket
• Priority: Used as fallback when explicit host/port not configured
• Path: Still uses agent proxy path

5. Windows Named Pipes

• Endpoint: windows:{pipe_name}/evp_proxy/v4/api/v2/errorsintake
• When used: Windows systems with DD_TRACE_PIPE_NAME set
• Config: DD_TRACE_PIPE_NAME environment variable
• Path: Uses agent proxy path

6. Direct Agent URL Override

• Endpoint: {DD_TRACE_AGENT_URL}/evp_proxy/v4/api/v2/errorsintake
• When used: When DD_TRACE_AGENT_URL is explicitly set
• Supports: http://, https://, unix:// schemes
• Path: Agent proxy path appended to custom URL

7. File Endpoint (Testing)

• Endpoint: file://{path}.errors
• When used: Testing/debugging with file:// URLs
• Behavior: Writes JSON payload to file instead of HTTP request
• File extension: Automatically appends .errors to the base path

How to test the change?

Unit tests
Run a tracer that points to the latest commit on this PR for libdatadog locally and crash a program
https://dd.datad0g.com/error-tracking?query=service%3Atest_app&fromUser=false&order=first_seen&refresh_mode=sliding&source=all&from_ts=1759843044695&to_ts=1760447844695&live=true

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-11-03 01:16:14

Comparing candidate commit d45b1fd in PR branch gyuheon0h/prof-12603-dual-uploads with baseline commit 21b4481 in branch main.

Found 2 performance improvements and 1 performance regressions! Performance is the same for 52 metrics, 2 unstable metrics.

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

• 🟩 execution_time [-9.921µs; -9.473µs] or [-5.071%; -4.841%]
• 🟩 throughput [+260069.277op/s; +272267.690op/s] or [+5.088%; +5.327%]

scenario:redis/obfuscate_redis_string

• 🟥 execution_time [+1.621µs; +2.013µs] or [+4.793%; +5.952%]

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	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	1.200µs	3.206µs ± 1.441µs	2.974µs ± 0.023µs	3.006µs	3.649µs	14.256µs	14.746µs	395.77%	7.285	54.387	44.84%	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	[3.007µs; 3.406µs] or [-6.229%; +6.229%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	14.201ms	14.240ms ± 0.025ms	14.236ms ± 0.010ms	14.248ms	14.271ms	14.353ms	14.396ms	1.13%	2.962	12.699	0.18%	0.002ms	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	[14.237ms; 14.244ms] or [-0.025%; +0.025%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	185.572µs	185.958µs ± 0.250µs	185.929µs ± 0.150µs	186.079µs	186.301µs	186.643µs	187.774µs	0.99%	2.397	13.279	0.13%	0.018µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5325554.473op/s	5377571.127op/s ± 7212.590op/s	5378410.148op/s ± 4327.294op/s	5382672.887op/s	5386098.390op/s	5388518.843op/s	5388737.458op/s	0.19%	-2.359	12.934	0.13%	510.007op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.795µs	17.890µs ± 0.037µs	17.888µs ± 0.026µs	17.915µs	17.953µs	17.982µs	17.994µs	0.59%	0.236	-0.004	0.21%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55573016.172op/s	55897418.388op/s ± 116562.847op/s	55902873.727op/s ± 81305.723op/s	55982507.115op/s	56067193.614op/s	56153175.026op/s	56194897.126op/s	0.52%	-0.224	-0.008	0.21%	8242.238op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.518µs	10.564µs ± 0.020µs	10.558µs ± 0.010µs	10.579µs	10.601µs	10.613µs	10.624µs	0.63%	0.614	0.065	0.19%	0.001µs	1	200
normalization/normalize_name/normalize_name/good	throughput	94127791.051op/s	94662223.020op/s ± 175709.128op/s	94717202.283op/s ± 88940.886op/s	94776734.773op/s	94878625.613op/s	95028854.215op/s	95071590.359op/s	0.37%	-0.604	0.056	0.19%	12424.512op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[185.923µs; 185.993µs] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5376571.532op/s; 5378570.723op/s] or [-0.019%; +0.019%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.885µs; 17.895µs] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[55881263.899op/s; 55913572.878op/s] or [-0.029%; +0.029%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.561µs; 10.567µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94637871.425op/s; 94686574.616op/s] 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	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	496.115µs	496.955µs ± 0.643µs	496.901µs ± 0.242µs	497.143µs	497.517µs	498.116µs	503.778µs	1.38%	6.663	64.509	0.13%	0.045µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1985002.206op/s	2012256.905op/s ± 2583.102op/s	2012472.410op/s ± 978.879op/s	2013431.659op/s	2014611.541op/s	2015222.963op/s	2015663.497op/s	0.16%	-6.578	63.283	0.13%	182.653op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	369.873µs	370.810µs ± 0.445µs	370.775µs ± 0.239µs	371.027µs	371.331µs	372.151µs	374.508µs	1.01%	3.189	23.225	0.12%	0.031µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2670169.000op/s	2696799.307op/s ± 3221.212op/s	2697049.990op/s ± 1737.240op/s	2698628.440op/s	2700959.584op/s	2702171.753op/s	2703628.799op/s	0.24%	-3.135	22.666	0.12%	227.774op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.433µs	168.962µs ± 0.329µs	168.864µs ± 0.163µs	169.071µs	169.616µs	169.980µs	170.372µs	0.89%	1.492	2.607	0.19%	0.023µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5869517.887op/s	5918498.934op/s ± 11503.586op/s	5921919.631op/s ± 5730.314op/s	5926536.650op/s	5930245.270op/s	5935018.971op/s	5937062.444op/s	0.26%	-1.478	2.548	0.19%	813.426op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.178µs	36.367µs ± 0.087µs	36.360µs ± 0.061µs	36.427µs	36.517µs	36.560µs	36.561µs	0.55%	0.115	-0.505	0.24%	0.006µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27351383.220op/s	27497921.593op/s ± 66014.462op/s	27502655.173op/s ± 46020.195op/s	27543236.343op/s	27605614.440op/s	27628477.230op/s	27641407.216op/s	0.50%	-0.104	-0.508	0.24%	4667.927op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.214µs	46.330µs ± 0.067µs	46.316µs ± 0.040µs	46.373µs	46.441µs	46.476µs	46.648µs	0.72%	0.935	1.739	0.14%	0.005µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21437131.621op/s	21584159.773op/s ± 30942.438op/s	21590907.656op/s ± 18618.219op/s	21607150.174op/s	21624075.259op/s	21637790.065op/s	21638265.292op/s	0.22%	-0.923	1.683	0.14%	2187.961op/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	[496.866µs; 497.044µs] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2011898.912op/s; 2012614.898op/s] or [-0.018%; +0.018%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[370.749µs; 370.872µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2696352.878op/s; 2697245.736op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.917µs; 169.008µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5916904.647op/s; 5920093.220op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.354µs; 36.379µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27488772.623op/s; 27507070.562op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.321µs; 46.340µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21579871.449op/s; 21588448.097op/s] or [-0.020%; +0.020%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	2.378µs	2.414µs ± 0.020µs	2.410µs ± 0.008µs	2.426µs	2.464µs	2.469µs	2.474µs	2.67%	1.135	1.237	0.81%	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	[2.412µs; 2.417µs] or [-0.113%; +0.113%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	10.653ms	10.684ms ± 0.015ms	10.682ms ± 0.010ms	10.693ms	10.706ms	10.721ms	10.763ms	0.76%	1.138	4.168	0.14%	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	[10.682ms; 10.686ms] or [-0.019%; +0.019%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_trace/test_trace	execution_time	239.230ns	251.327ns ± 13.495ns	245.803ns ± 4.181ns	253.894ns	286.420ns	292.575ns	296.467ns	20.61%	1.723	2.177	5.36%	0.954ns	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_trace/test_trace	execution_time	[249.456ns; 253.197ns] or [-0.744%; +0.744%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	3.899µs	3.915µs ± 0.003µs	3.915µs ± 0.002µs	3.917µs	3.920µs	3.922µs	3.925µs	0.25%	-0.426	5.055	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	254793292.579op/s	255418864.701op/s ± 182424.147op/s	255436479.713op/s ± 109870.185op/s	255532975.810op/s	255673815.575op/s	255733280.205op/s	256472876.110op/s	0.41%	0.441	5.124	0.07%	12899.335op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	77.919µs	79.040µs ± 0.828µs	78.964µs ± 0.694µs	79.621µs	80.344µs	80.915µs	81.057µs	2.65%	0.361	-0.959	1.04%	0.059µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12336955.804op/s	12653225.600op/s ± 132037.062op/s	12664020.847op/s ± 111904.230op/s	12777354.057op/s	12827247.704op/s	12831057.550op/s	12833801.667op/s	1.34%	-0.332	-0.997	1.04%	9336.430op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	71.664µs	72.036µs ± 0.222µs	72.010µs ± 0.150µs	72.178µs	72.408µs	72.545µs	72.802µs	1.10%	0.481	-0.108	0.31%	0.016µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13735835.165op/s	13882162.006op/s ± 42667.877op/s	13886978.741op/s ± 28858.967op/s	13910392.042op/s	13945709.631op/s	13953825.661op/s	13953983.947op/s	0.48%	-0.465	-0.137	0.31%	3017.074op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.898µs	3.916µs ± 0.008µs	3.916µs ± 0.002µs	3.917µs	3.920µs	3.923µs	3.992µs	1.96%	8.060	73.473	0.20%	0.001µs	1	200
credit_card/is_card_number/37828224631	throughput	250475614.242op/s	255342491.501op/s ± 503638.805op/s	255392490.398op/s ± 118302.243op/s	255509767.131op/s	255621116.387op/s	255688514.609op/s	256559166.734op/s	0.46%	-7.997	72.741	0.20%	35612.641op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	68.233µs	68.560µs ± 0.296µs	68.527µs ± 0.202µs	68.676µs	69.120µs	69.607µs	69.920µs	2.03%	1.470	2.752	0.43%	0.021µs	1	200
credit_card/is_card_number/378282246310005	throughput	14302111.334op/s	14586047.092op/s ± 62523.311op/s	14592832.006op/s ± 43219.516op/s	14636634.398op/s	14647262.395op/s	14651606.352op/s	14655763.715op/s	0.43%	-1.437	2.585	0.43%	4421.066op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.480µs	45.743µs ± 0.096µs	45.741µs ± 0.070µs	45.817µs	45.897µs	45.931µs	45.945µs	0.45%	-0.108	-0.458	0.21%	0.007µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21765236.187op/s	21861305.947op/s ± 46116.076op/s	21862142.421op/s ± 33411.046op/s	21894489.706op/s	21933291.557op/s	21971713.627op/s	21987488.216op/s	0.57%	0.118	-0.450	0.21%	3260.899op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.557µs	6.622µs ± 0.017µs	6.626µs ± 0.010µs	6.635µs	6.641µs	6.647µs	6.652µs	0.39%	-1.087	1.035	0.26%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	150342028.114op/s	151011443.341op/s ± 390677.969op/s	150930777.246op/s ± 233411.961op/s	151197637.618op/s	151808215.825op/s	152194983.962op/s	152511815.127op/s	1.05%	1.102	1.082	0.26%	27625.104op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.895µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.916µs	3.918µs	3.921µs	3.933µs	0.48%	-0.108	13.256	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254261340.454op/s	255474122.505op/s ± 200271.772op/s	255470799.717op/s ± 126278.812op/s	255605155.962op/s	255729042.439op/s	255786538.482op/s	256760307.972op/s	0.50%	0.144	13.288	0.08%	14161.353op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	65.575µs	65.746µs ± 0.051µs	65.748µs ± 0.029µs	65.774µs	65.834µs	65.861µs	65.911µs	0.25%	-0.074	0.924	0.08%	0.004µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15172008.933op/s	15210091.730op/s ± 11853.301op/s	15209555.617op/s ± 6738.827op/s	15217071.147op/s	15228423.214op/s	15239001.565op/s	15249803.746op/s	0.26%	0.081	0.927	0.08%	838.155op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.357µs	53.429µs ± 0.035µs	53.430µs ± 0.025µs	53.455µs	53.482µs	53.515µs	53.532µs	0.19%	0.101	-0.250	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18680445.151op/s	18716317.584op/s ± 12182.278op/s	18715913.145op/s ± 8672.065op/s	18725088.415op/s	18736554.280op/s	18740089.602op/s	18741677.773op/s	0.14%	-0.097	-0.253	0.06%	861.417op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.896µs	3.915µs ± 0.003µs	3.916µs ± 0.002µs	3.917µs	3.920µs	3.921µs	3.922µs	0.17%	-1.231	8.130	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254958239.237op/s	255397227.182op/s ± 192623.384op/s	255388076.176op/s ± 99597.837op/s	255500817.606op/s	255666376.234op/s	255778233.808op/s	256666008.008op/s	0.50%	1.251	8.269	0.08%	13620.530op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.154µs	50.240µs ± 0.033µs	50.243µs ± 0.021µs	50.261µs	50.290µs	50.312µs	50.326µs	0.17%	-0.206	-0.185	0.07%	0.002µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19870555.255op/s	19904601.023op/s ± 13050.008op/s	19903429.555op/s ± 8251.281op/s	19914073.759op/s	19926030.196op/s	19935766.999op/s	19938461.931op/s	0.18%	0.210	-0.185	0.07%	922.775op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.502µs	45.740µs ± 0.093µs	45.737µs ± 0.070µs	45.810µs	45.893µs	45.930µs	45.944µs	0.45%	-0.062	-0.601	0.20%	0.007µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21765508.745op/s	21862795.542op/s ± 44651.416op/s	21863991.100op/s ± 33338.438op/s	21894786.308op/s	21939294.373op/s	21950909.691op/s	21977294.144op/s	0.52%	0.070	-0.600	0.20%	3157.332op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.592µs	6.633µs ± 0.010µs	6.635µs ± 0.004µs	6.639µs	6.643µs	6.647µs	6.648µs	0.20%	-1.844	3.920	0.15%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	150415949.908op/s	150771575.574op/s ± 233318.684op/s	150710808.565op/s ± 93885.172op/s	150818286.716op/s	151235701.276op/s	151686982.003op/s	151695996.401op/s	0.65%	1.855	3.973	0.15%	16498.122op/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	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255393582.469op/s; 255444146.933op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.925µs; 79.155µs] or [-0.145%; +0.145%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12634926.533op/s; 12671524.666op/s] or [-0.145%; +0.145%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.005µs; 72.066µs] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13876248.649op/s; 13888075.364op/s] or [-0.043%; +0.043%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.915µs; 3.917µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255272692.007op/s; 255412290.996op/s] or [-0.027%; +0.027%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.519µs; 68.601µs] or [-0.060%; +0.060%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14577381.962op/s; 14594712.222op/s] or [-0.059%; +0.059%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.730µs; 45.756µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21854914.702op/s; 21867697.191op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.620µs; 6.624µs] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[150957299.132op/s; 151065587.550op/s] or [-0.036%; +0.036%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.914µs; 3.915µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255446366.764op/s; 255501878.247op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[65.739µs; 65.753µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15208448.977op/s; 15211734.484op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[53.425µs; 53.434µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18714629.237op/s; 18718005.930op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.915µs; 3.916µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255370531.434op/s; 255423922.931op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.235µs; 50.244µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19902792.417op/s; 19906409.629op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.727µs; 45.753µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21856607.285op/s; 21868983.798op/s] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.631µs; 6.634µs] or [-0.021%; +0.021%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[150739239.848op/s; 150803911.299op/s] or [-0.021%; +0.021%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	59.494ms	59.943ms ± 1.955ms	59.646ms ± 0.096ms	59.767ms	60.266ms	70.672ms	78.769ms	32.06%	8.363	70.771	3.25%	0.138ms	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	[59.672ms; 60.214ms] or [-0.452%; +0.452%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	17.451µs	25.177µs ± 9.794µs	17.710µs ± 0.190µs	34.581µs	43.372µs	44.749µs	61.922µs	249.65%	0.900	-0.083	38.80%	0.693µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[23.820µs; 26.535µs] or [-5.391%; +5.391%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	7.958ms	8.312ms ± 0.072ms	8.295ms ± 0.027ms	8.344ms	8.436ms	8.500ms	8.550ms	3.07%	-0.332	5.526	0.86%	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	[8.302ms; 8.322ms] or [-0.120%; +0.120%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
sql/obfuscate_sql_string	execution_time	85.846µs	86.049µs ± 0.181µs	86.026µs ± 0.059µs	86.091µs	86.181µs	86.520µs	88.155µs	2.47%	8.237	91.069	0.21%	0.013µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.024µs; 86.074µs] or [-0.029%; +0.029%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	35.126µs	35.633µs ± 0.852µs	35.232µs ± 0.039µs	35.359µs	37.457µs	37.503µs	38.299µs	8.70%	1.712	1.031	2.39%	0.060µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[35.515µs; 35.751µs] or [-0.331%; +0.331%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	162.221µs	163.058µs ± 0.305µs	163.042µs ± 0.133µs	163.190µs	163.493µs	163.736µs	165.296µs	1.38%	1.795	14.010	0.19%	0.022µs	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	[163.015µs; 163.100µs] or [-0.026%; +0.026%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	4.991µs	5.054µs ± 0.040µs	5.036µs ± 0.020µs	5.087µs	5.120µs	5.124µs	5.146µs	2.17%	0.563	-1.162	0.78%	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	[5.049µs; 5.060µs] or [-0.108%; +0.108%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	172.631ns	176.222ns ± 3.007ns	175.758ns ± 1.421ns	177.329ns	181.429ns	188.024ns	190.374ns	8.32%	1.820	4.762	1.70%	0.213ns	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	[175.805ns; 176.639ns] or [-0.237%; +0.237%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	d45b1fd	1762131772	gyuheon0h/prof-12603-dual-uploads

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	120.928µs	122.392µs ± 1.211µs	122.179µs ± 0.385µs	122.624µs	123.715µs	126.777µs	133.638µs	9.38%	5.326	41.166	0.99%	0.086µs	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	[122.224µs; 122.560µs] or [-0.137%; +0.137%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 81.78244% with 139 lines in your changes missing coverage. Please review.
✅ Project coverage is 72.21%. Comparing base (c55d7fd) to head (d45b1fd).
⚠️ Report is 4 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1259      +/-   ##
==========================================
+ Coverage   72.11%   72.21%   +0.10%     
==========================================
  Files         368      370       +2     
  Lines       58111    58952     +841     
==========================================
+ Hits        41907    42575     +668     
- Misses      16204    16377     +173     

Components	Coverage Δ
datadog-crashtracker	55.45% <81.78%> (+4.81%)	⬆️
datadog-crashtracker-ffi	5.86% <ø> (ø)
datadog-alloc	98.73% <ø> (ø)
data-pipeline	88.19% <ø> (ø)
data-pipeline-ffi	88.19% <ø> (ø)
ddcommon	80.98% <ø> (+0.02%)	⬆️
ddcommon-ffi	73.84% <ø> (ø)
ddtelemetry	59.98% <ø> (-0.04%)	⬇️
ddtelemetry-ffi	21.24% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.39% <ø> (-0.11%)	⬇️
datadog-profiling	76.50% <ø> (-0.40%)	⬇️
datadog-profiling-ffi	62.11% <ø> (-0.01%)	⬇️
datadog-sidecar	37.62% <ø> (ø)
datdog-sidecar-ffi	15.88% <ø> (ø)
spawn-worker	55.18% <ø> (ø)
tinybytes	92.44% <ø> (ø)
datadog-trace-normalization	98.24% <ø> (ø)
datadog-trace-obfuscation	94.17% <ø> (ø)
datadog-trace-protobuf	59.65% <ø> (ø)
datadog-trace-utils	90.19% <ø> (ø)
datadog-tracer-flare	64.98% <ø> (ø)
datadog-log	75.57% <ø> (ø)

🚀 New features to boost your workflow:

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

[datadog-datadog-prod-us1]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: d45b1fd | Docs | Datadog PR Page | Was this helpful? Give us feedback!}

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	71.36 MB	71.61 MB	+.34% (+250.64 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.25 MB	7.25 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	83.71 MB	84.07 MB	+.42% (+367.71 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.20 MB	9.28 MB	+.80% (+76.03 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.61 MB	18.69 MB	+.39% (+75.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.77 KB	65.77 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	131.06 MB	131.43 MB	+.28% (+376.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	692.06 MB	698.47 MB	+.92% (+6.40 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.93 MB	5.97 MB	+.62% (+38.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.77 KB	65.77 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	17.51 MB	17.58 MB	+.40% (+72.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	32.46 MB	32.62 MB	+.48% (+160.91 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	15.85 MB	15.91 MB	+.43% (+70.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.79 KB	66.79 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	133.16 MB	133.55 MB	+.29% (+400.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	680.68 MB	687.08 MB	+.94% (+6.39 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.54 MB	4.57 MB	+.53% (+25.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.79 KB	66.79 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	18.66 MB	18.73 MB	+.41% (+80.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	30.52 MB	30.66 MB	+.47% (+149.48 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	63.98 MB	64.20 MB	+.34% (+227.08 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.56 MB	8.59 MB	+.36% (+32.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	78.42 MB	78.74 MB	+.40% (+323.65 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.91 MB	9.94 MB	+.36% (+37.17 KB) 🔍

[gyuheon0h]

TODOs:

1. Update hardcoded staging vars after done with testing
2. Add test to confirm that a failed request doesn't interfere with other requests

[gyuheon0h]

• [crashtracking] upload to both telemetry intake and errors intake #1259 👈 (View in Graphite)
• main

This stack of pull requests is managed by Graphite. Learn more about stacking.

[gyuheon0h]

TODO: Needs to be a flag for the whole feat.

[GianlucaBortoli]

LGTM after this tiny change