This PR allows runtimes to register a callback to extract runtime stack. They can choose either to emit frames frame by frame, or to dump a whole stacktrace string. The important contract is that the logic to retrieve the runtime stack is happening within a fork of the crashing process, from a signal handler, so it must be async-signal-safe.

Currently, we add runtime stacks as a newruntime_stacks field in theExperimental field. If runtimes choose to emit frames one by one usingddog_RuntimeStackFrame, theruntime_stacks field will be nicely propagated. If they choose to dump the whole traceback string, additional parsing will have to be implemented in theReceiver side appropriate for each different runtime's style/syntax of tracebacks.

Motivation

Current crash tracking captures only native stack traces, which are insufficient for applications using interpreted languages. When a Python/Ruby/PHP application crashes, developers need visibility into both:

The native call stack (C/C++ level)
The runtime call stack (Python/Ruby/PHP script level)

Without runtime stack traces, debugging crashes in interpreted languages is hard as the native stack only shows interpreter internals and native extension modules, not the actual application code execution path.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Unit tests.

There is a very dummy implementation ofdd-trace-py consuming this API in this experimental PR:DataDog/dd-trace-py#14765

By triggering a crash with the tracer and agent attached, we can see outputtedExperimental fields:

Frame by Frame

{  "ucontext": "ucontext_t { uc_flags: 7, uc_link: 0x0, uc_stack: stack_t { ss_sp: 0x743deadc0000, ss_flags: 0, ss_size: 65536 }, uc_mcontext: mcontext_t { gregs: [0, 127809331044922, 0, 127809325475264, 140726899625856, 140726899626064, 1, 0, 0, -1, 0, 4294967295, 127809325530248, 0, 140726899625160, 140726899625368, 127809330854360, 66179, 12103423998558259, 4, 14, 0, 0], fpregs: 0x743deadcf540, __private: [0, 0, 0, 0, 0, 0, 0, 0] }, uc_sigmask: sigset_t { __val: [0, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }, __private: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 127, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 31, 0, 0, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 99, 0, 116, 0, 111, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 114, 0, 0, 0, 0, 0, 99, 0, 111, 0, 0, 0, 0, 0, 105, 0, 101, 0, 111, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 117, 0, 0, 0, 99, 0, 0, 0, 104, 0, 0, 0, 32, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 111, 0, 0, 0, 114, 0, 0, 0, 32, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 128, 199, 48, 49, 93, 136, 85, 59, 0, 0, 0, 0, 0, 0, 0, 0, 100, 171, 99, 130, 7, 91, 229, 191, 0, 0, 0, 0, 0, 0, 0, 0, 27, 99, 108, 213, 49, 161, 233, 63, 0, 0, 0, 0, 0, 0, 0, 0, 233, 69, 72, 155, 91, 73, 242, 191, 0, 0, 0, 0, 0, 0, 0, 0, 52, 121, 227, 150, 79, 248, 140, 67, 143, 13, 128, 21, 35, 58, 40, 13, 211, 19, 203, 193, 101, 194, 7, 72, 227, 201, 177, 122, 54, 74, 46, 67, 23, 38, 50, 64, 173, 107, 173, 144, 4, 8, 252, 226, 102, 193, 248, 241, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 83, 88, 80, 70, 140, 10, 0, 0, 255, 2, 0, 0, 0, 0, 0, 0, 136, 10, 0, 0, 0, 0, 0, 0] }",  "runtime_stack": {    "format": "Datadog Runtime Callback 1.0",    "frames": [      {        "function": "string_at",        "file": "/home/bits/.pyenv/versions/3.11.13/lib/python3.11/ctypes/__init__.py",        "line": 519      },      {        "function": "func16",        "file": "tests/internal/crashtracker/test_crashtracker.py",        "line": 724      },     ........      {        "function": "func2",        "file": "tests/internal/crashtracker/test_crashtracker.py",        "line": 682      },      {        "function": "func1",        "file": "tests/internal/crashtracker/test_crashtracker.py",        "line": 679      },      {        "function": "<module>",        "file": "tests/internal/crashtracker/test_crashtracker.py",        "line": 734      }    ],    "runtime_type": "python"  }}

Whole traceback string

{  "ucontext": "ucontext_t { uc_flags: 7, uc_link: 0x0, uc_stack: stack_t { ss_sp: 0x7c4c9c841000, ss_flags: 0, ss_size: 65536 }, uc_mcontext: mcontext_t { gregs: [0, 136668534166074, 0, 136668528596416, 140724573444400, 140724573444608, 1, 0, 0, -1, 0, 4294967295, 136668528651400, 0, 140724573443704, 140724573443912, 136668533975512, 66179, 12103423998558259, 4, 14, 0, 0], fpregs: 0x7c4c9c850540, __private: [0, 0, 0, 0, 0, 0, 0, 0] }, uc_sigmask: sigset_t { __val: [0, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] }, __private: [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 127, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 31, 0, 0, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 99, 0, 116, 0, 111, 0, 114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 116, 0, 114, 0, 0, 0, 0, 0, 99, 0, 111, 0, 0, 0, 0, 0, 105, 0, 101, 0, 111, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 117, 0, 0, 0, 99, 0, 0, 0, 104, 0, 0, 0, 32, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 111, 0, 0, 0, 114, 0, 0, 0, 32, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 128, 199, 48, 49, 93, 136, 85, 59, 0, 0, 0, 0, 0, 0, 0, 0, 100, 171, 99, 130, 7, 91, 229, 191, 0, 0, 0, 0, 0, 0, 0, 0, 27, 99, 108, 213, 49, 161, 233, 63, 0, 0, 0, 0, 0, 0, 0, 0, 233, 69, 72, 155, 91, 73, 242, 191, 0, 0, 0, 0, 0, 0, 0, 0, 255, 52, 127, 42, 141, 178, 13, 152, 156, 26, 175, 206, 42, 181, 80, 159, 182, 24, 207, 207, 28, 16, 244, 61, 0, 111, 67, 149, 212, 73, 16, 112, 165, 200, 182, 175, 115, 89, 172, 247, 213, 71, 73, 142, 243, 74, 61, 65, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 83, 88, 80, 70, 140, 10, 0, 0, 255, 2, 0, 0, 0, 0, 0, 0, 136, 10, 0, 0, 0, 0, 0, 0] }",  "runtime_stack": {    "format": "Datadog Runtime Callback 1.0",    "stacktrace_string": "Current thread 0x00007c4c9f46db80 (most recent call first):\n  File \"/home/bits/.pyenv/versions/3.11.13/lib/python3.11/ctypes/__init__.py\", line 519 in string_at\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 724 in func16\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 721 in func15\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 718 in func14\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 715 in func13\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 712 in func12\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 709 in func11\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 706 in func10\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 703 in func9\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 700 in func8\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 697 in func7\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 694 in func6\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 691 in func5\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 688 in func4\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 685 in func3\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 682 in func2\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 679 in func1\n  File \"tests/internal/crashtracker/test_crashtracker.py\", line 734 in <module>",    "runtime_type": "python"  }}

github-actionsbot added the crashtracker label

Oct 1, 2025

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datadog-officialbot commentedOct 1, 2025•
edited by datadog-datadog-prod-us1bot
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✅ Tests

🎉 All green!

❄️ No newflaky tests detected
🧪 Alltests passed

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA:d5e54ae |Docs |Datadog PR Page | Was this helpful? Give usfeedback!}

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Benchmarks

Comparison

Benchmark execution time: 2025-11-08 04:33:32

Comparing candidate commitd5e54ae in PR branchgyuheon0h/prof-12432-runtime-stacks with baseline commit244a5c7 in branchmain.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 55 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	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	243.505ns	252.469ns ± 13.234ns	246.062ns ± 1.706ns	252.650ns	285.851ns	289.908ns	293.326ns	19.21%	1.790	1.864	5.23%	0.936ns	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	[250.635ns; 254.304ns] or [-0.726%; +0.726%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	17.997µs	26.641µs ± 9.545µs	19.326µs ± 0.998µs	34.846µs	43.112µs	50.417µs	57.870µs	199.44%	0.749	-0.638	35.74%	0.675µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[25.318µs; 27.964µs] or [-4.965%; +4.965%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	534.385µs	536.006µs ± 1.221µs	535.675µs ± 0.560µs	536.408µs	538.093µs	539.817µs	544.281µs	1.61%	2.574	11.272	0.23%	0.086µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1837286.255op/s	1865660.091op/s ± 4226.436op/s	1866803.156op/s ± 1951.880op/s	1868413.260op/s	1869794.886op/s	1870386.878op/s	1871308.363op/s	0.24%	-2.529	10.881	0.23%	298.854op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	380.299µs	380.991µs ± 0.339µs	381.006µs ± 0.237µs	381.219µs	381.536µs	381.784µs	381.845µs	0.22%	0.123	-0.462	0.09%	0.024µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2618864.271op/s	2624739.301op/s ± 2335.860op/s	2624632.380op/s ± 1632.887op/s	2626560.760op/s	2628387.216op/s	2629122.854op/s	2629507.834op/s	0.19%	-0.119	-0.465	0.09%	165.170op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	189.651µs	190.041µs ± 0.211µs	190.009µs ± 0.132µs	190.154µs	190.438µs	190.602µs	190.733µs	0.38%	0.850	0.702	0.11%	0.015µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5242933.332op/s	5262020.663op/s ± 5829.655op/s	5262922.093op/s ± 3669.730op/s	5266271.996op/s	5269888.203op/s	5271677.825op/s	5272843.988op/s	0.19%	-0.843	0.687	0.11%	412.219op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	37.635µs	37.824µs ± 0.064µs	37.831µs ± 0.039µs	37.866µs	37.916µs	37.946µs	37.970µs	0.37%	-0.392	-0.107	0.17%	0.004µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	26336486.553op/s	26438477.218op/s ± 44431.301op/s	26433624.901op/s ± 27343.034op/s	26464973.116op/s	26521294.405op/s	26538334.468op/s	26571111.887op/s	0.52%	0.401	-0.099	0.17%	3141.767op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.819µs	45.910µs ± 0.120µs	45.901µs ± 0.025µs	45.923µs	45.992µs	46.019µs	47.487µs	3.46%	11.448	147.886	0.26%	0.008µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21058256.966op/s	21781712.959op/s ± 55273.190op/s	21786128.482op/s ± 11767.235op/s	21798862.743op/s	21815220.769op/s	21821915.720op/s	21824816.562op/s	0.18%	-11.300	145.281	0.25%	3908.405op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	execution_time	[535.837µs; 536.175µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1865074.347op/s; 1866245.834op/s] or [-0.031%; +0.031%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.944µs; 381.038µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2624415.573op/s; 2625063.028op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[190.012µs; 190.071µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5261212.728op/s; 5262828.597op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[37.815µs; 37.833µs] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[26432319.467op/s; 26444634.969op/s] or [-0.023%; +0.023%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.894µs; 45.927µs] or [-0.036%; +0.036%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21774052.626op/s; 21789373.291op/s] or [-0.035%; +0.035%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	1.188µs	3.238µs ± 1.446µs	3.012µs ± 0.032µs	3.051µs	3.672µs	14.242µs	14.924µs	395.45%	7.281	54.407	44.54%	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	[3.038µs; 3.439µs] or [-6.188%; +6.188%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	205.015µs	205.625µs ± 0.379µs	205.544µs ± 0.209µs	205.830µs	206.387µs	206.882µs	207.086µs	0.75%	1.140	1.538	0.18%	0.027µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	4828917.332op/s	4863244.396op/s ± 8949.164op/s	4865144.122op/s ± 4955.192op/s	4869430.659op/s	4874981.978op/s	4876605.268op/s	4877701.522op/s	0.26%	-1.127	1.497	0.18%	632.801op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	18.678µs	18.899µs ± 0.110µs	18.887µs ± 0.074µs	18.964µs	19.099µs	19.175µs	19.440µs	2.93%	0.954	2.371	0.58%	0.008µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	51439723.760op/s	52914965.700op/s ± 306972.480op/s	52947195.771op/s ± 206557.382op/s	53136782.399op/s	53331736.467op/s	53493764.881op/s	53539335.758op/s	1.12%	-0.895	2.121	0.58%	21706.232op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.786µs	10.860µs ± 0.032µs	10.853µs ± 0.018µs	10.874µs	10.920µs	10.970µs	10.988µs	1.24%	1.074	2.048	0.30%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	91008878.576op/s	92083528.852op/s ± 273170.027op/s	92136404.179op/s ± 148869.514op/s	92254268.257op/s	92451706.356op/s	92620979.864op/s	92716975.417op/s	0.63%	-1.049	1.968	0.30%	19316.038op/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	[205.572µs; 205.677µs] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[4862004.128op/s; 4864484.664op/s] or [-0.026%; +0.026%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[18.884µs; 18.914µs] or [-0.081%; +0.081%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[52872422.267op/s; 52957509.133op/s] or [-0.080%; +0.080%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.855µs; 10.864µs] or [-0.041%; +0.041%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[92045670.114op/s; 92121387.591op/s] or [-0.041%; +0.041%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	171.560ns	175.407ns ± 3.392ns	174.890ns ± 1.986ns	176.626ns	181.712ns	187.612ns	192.063ns	9.82%	1.561	3.797	1.93%	0.240ns	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	[174.937ns; 175.877ns] or [-0.268%; +0.268%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	10.700ms	10.731ms ± 0.014ms	10.729ms ± 0.008ms	10.740ms	10.753ms	10.777ms	10.781ms	0.48%	0.847	1.196	0.13%	0.001ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
concentrator/add_spans_to_concentrator	execution_time	[10.729ms; 10.733ms] or [-0.018%; +0.018%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	4.935µs	5.022µs ± 0.051µs	5.027µs ± 0.056µs	5.057µs	5.095µs	5.102µs	5.105µs	1.55%	0.001	-1.371	1.01%	0.004µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.015µs; 5.029µs] or [-0.140%; +0.140%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	3.895µs	3.914µs ± 0.004µs	3.913µs ± 0.002µs	3.916µs	3.919µs	3.921µs	3.935µs	0.54%	0.393	5.966	0.10%	0.000µs	1	200
credit_card/is_card_number/	throughput	254148911.376op/s	255503177.137op/s ± 246427.404op/s	255531721.933op/s ± 157910.075op/s	255667349.171op/s	255821689.960op/s	255884940.174op/s	256733504.094op/s	0.47%	-0.370	5.939	0.10%	17425.049op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.642µs	81.906µs ± 1.421µs	81.836µs ± 0.909µs	82.744µs	84.454µs	85.180µs	85.635µs	4.64%	0.269	-0.148	1.73%	0.100µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	11677533.735op/s	12212696.477op/s ± 211083.832op/s	12219504.044op/s ± 134287.930op/s	12356460.852op/s	12537496.702op/s	12679300.542op/s	12715796.369op/s	4.06%	-0.176	-0.178	1.72%	14925.881op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	71.415µs	72.145µs ± 0.835µs	71.659µs ± 0.169µs	72.632µs	74.207µs	74.322µs	74.328µs	3.73%	1.275	0.454	1.15%	0.059µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13453794.154op/s	13862761.053op/s ± 158186.617op/s	13955004.365op/s ± 32932.902op/s	13978058.723op/s	13989459.446op/s	13997735.302op/s	14002647.810op/s	0.34%	-1.247	0.364	1.14%	11185.483op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.891µs	3.913µs ± 0.003µs	3.912µs ± 0.002µs	3.915µs	3.918µs	3.920µs	3.924µs	0.29%	-0.781	8.228	0.08%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254860623.844op/s	255572640.143op/s ± 216989.825op/s	255591399.354op/s ± 134213.068op/s	255721902.640op/s	255819859.269op/s	255884505.443op/s	256994710.293op/s	0.55%	0.806	8.386	0.08%	15343.498op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	68.288µs	68.992µs ± 0.733µs	68.673µs ± 0.283µs	69.243µs	70.757µs	71.165µs	71.316µs	3.85%	1.496	1.423	1.06%	0.052µs	1	200
credit_card/is_card_number/378282246310005	throughput	14022089.336op/s	14495951.215op/s ± 151682.690op/s	14561826.676op/s ± 60342.276op/s	14602349.694op/s	14634306.937op/s	14641516.393op/s	14643967.776op/s	0.56%	-1.459	1.297	1.04%	10725.586op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.383µs	45.661µs ± 0.150µs	45.646µs ± 0.081µs	45.739µs	45.853µs	46.017µs	46.648µs	2.19%	2.850	16.822	0.33%	0.011µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21437278.488op/s	21900838.346op/s ± 71176.544op/s	21907563.586op/s ± 38831.488op/s	21943718.470op/s	21993724.171op/s	22018317.171op/s	22034904.295op/s	0.58%	-2.747	15.986	0.32%	5032.942op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.429µs	6.436µs ± 0.003µs	6.435µs ± 0.002µs	6.438µs	6.442µs	6.445µs	6.448µs	0.19%	0.523	0.658	0.05%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	155097327.565op/s	155384712.768op/s ± 83419.855op/s	155389208.221op/s ± 50513.514op/s	155441125.844op/s	155513236.970op/s	155549635.328op/s	155553406.770op/s	0.11%	-0.519	0.651	0.05%	5898.675op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.895µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.917µs	3.919µs	3.921µs	0.21%	-0.906	6.696	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	255024618.303op/s	255567643.792op/s ± 187660.510op/s	255572482.111op/s ± 129434.119op/s	255703100.406op/s	255816268.500op/s	255878451.737op/s	256750443.088op/s	0.46%	0.924	6.807	0.07%	13269.602op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	61.428µs	62.642µs ± 0.511µs	62.614µs ± 0.349µs	62.981µs	63.492µs	63.867µs	64.167µs	2.48%	0.334	-0.308	0.81%	0.036µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15584327.037op/s	15964906.332op/s ± 129990.549op/s	15970867.541op/s ± 88961.628op/s	16053932.439op/s	16157868.804op/s	16215352.276op/s	16279246.047op/s	1.93%	-0.296	-0.345	0.81%	9191.720op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	54.077µs	54.239µs ± 0.076µs	54.236µs ± 0.049µs	54.291µs	54.370µs	54.431µs	54.499µs	0.48%	0.434	0.195	0.14%	0.005µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18349069.727op/s	18436955.046op/s ± 25972.834op/s	18437911.256op/s ± 16567.629op/s	18453609.012op/s	18477575.061op/s	18490954.004op/s	18492042.874op/s	0.29%	-0.426	0.183	0.14%	1836.557op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.895µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.922µs	3.931µs	0.47%	0.514	8.166	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254383968.316op/s	255565029.278op/s ± 215765.188op/s	255590798.732op/s ± 120601.941op/s	255700304.841op/s	255818064.442op/s	255906403.156op/s	256746656.241op/s	0.45%	-0.489	8.170	0.08%	15256.903op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.295µs	50.538µs ± 0.120µs	50.531µs ± 0.065µs	50.591µs	50.759µs	50.889µs	51.057µs	1.04%	1.094	2.523	0.24%	0.008µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19585964.579op/s	19787126.313op/s ± 46891.310op/s	19789642.123op/s ± 25488.712op/s	19816036.624op/s	19850790.311op/s	19873737.323op/s	19882714.079op/s	0.47%	-1.070	2.445	0.24%	3315.716op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.388µs	45.689µs ± 0.134µs	45.692µs ± 0.096µs	45.786µs	45.896µs	45.934µs	45.952µs	0.57%	-0.246	-0.693	0.29%	0.009µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21761998.463op/s	21887522.794op/s ± 64311.094op/s	21885783.000op/s ± 45896.435op/s	21932278.282op/s	22000678.432op/s	22022409.627op/s	22032408.163op/s	0.67%	0.257	-0.688	0.29%	4547.481op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.429µs	6.436µs ± 0.005µs	6.436µs ± 0.003µs	6.439µs	6.446µs	6.448µs	6.454µs	0.29%	0.974	0.787	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	154939581.539op/s	155369955.720op/s ± 114564.051op/s	155387405.854op/s ± 71757.780op/s	155456893.338op/s	155515490.472op/s	155531898.517op/s	155542461.340op/s	0.10%	-0.970	0.775	0.07%	8100.902op/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 [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/	throughput	[255469024.668op/s; 255537329.605op/s] or [-0.013%; +0.013%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[81.709µs; 82.103µs] or [-0.240%; +0.240%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12183442.288op/s; 12241950.666op/s] or [-0.240%; +0.240%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.029µs; 72.261µs] or [-0.160%; +0.160%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13840837.909op/s; 13884684.197op/s] or [-0.158%; +0.158%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255542567.440op/s; 255602712.846op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.891µs; 69.094µs] or [-0.147%; +0.147%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14474929.453op/s; 14516972.977op/s] or [-0.145%; +0.145%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.640µs; 45.682µs] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21890973.961op/s; 21910702.730op/s] or [-0.045%; +0.045%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.435µs; 6.436µs] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155373151.578op/s; 155396273.958op/s] or [-0.007%; +0.007%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255541635.850op/s; 255593651.734op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[62.571µs; 62.712µs] or [-0.113%; +0.113%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15946890.893op/s; 15982921.772op/s] or [-0.113%; +0.113%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[54.228µs; 54.250µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18433355.460op/s; 18440554.631op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255535126.298op/s; 255594932.258op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.522µs; 50.555µs] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19780627.628op/s; 19793624.998op/s] or [-0.033%; +0.033%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.670µs; 45.707µs] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21878609.894op/s; 21896435.693op/s] or [-0.041%; +0.041%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.436µs; 6.437µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155354078.244op/s; 155385833.195op/s] or [-0.010%; +0.010%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	33.736µs	34.385µs ± 1.199µs	33.839µs ± 0.044µs	33.905µs	36.896µs	36.938µs	39.372µs	16.35%	1.820	1.760	3.48%	0.085µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.219µs; 34.551µs] or [-0.483%; +0.483%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	85.623µs	85.867µs ± 0.246µs	85.838µs ± 0.044µs	85.897µs	86.013µs	86.097µs	89.131µs	3.84%	11.759	153.322	0.29%	0.017µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[85.833µs; 85.901µs] or [-0.040%; +0.040%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	121.564µs	123.544µs ± 1.425µs	123.276µs ± 0.519µs	123.939µs	125.265µs	128.347µs	136.686µs	10.88%	4.953	38.258	1.15%	0.101µs	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	[123.346µs; 123.741µs] or [-0.160%; +0.160%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	6.131ms	6.389ms ± 0.069ms	6.400ms ± 0.018ms	6.414ms	6.455ms	6.587ms	6.693ms	4.59%	-0.810	5.068	1.07%	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	[6.380ms; 6.399ms] or [-0.149%; +0.149%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	158.902µs	160.057µs ± 0.334µs	160.011µs ± 0.126µs	160.152µs	160.492µs	160.772µs	162.629µs	1.64%	3.641	25.618	0.21%	0.024µs	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	[160.011µs; 160.103µs] or [-0.029%; +0.029%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	60.890ms	61.342ms ± 2.190ms	61.021ms ± 0.059ms	61.125ms	61.423ms	67.850ms	83.460ms	36.77%	8.996	82.892	3.56%	0.155ms	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	[61.039ms; 61.646ms] or [-0.495%; +0.495%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	2.308µs	2.379µs ± 0.018µs	2.382µs ± 0.007µs	2.388µs	2.402µs	2.412µs	2.413µs	1.30%	-1.904	4.933	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 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	`d5e54ae`	1762575574	gyuheon0h/prof-12432-runtime-stacks

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	14.106ms	14.158ms ± 0.032ms	14.151ms ± 0.011ms	14.161ms	14.212ms	14.278ms	14.331ms	1.27%	2.991	10.646	0.23%	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	[14.153ms; 14.162ms] or [-0.032%; +0.032%]	None	None	None

Baseline

Omitted due to size.

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Codecov Report

❌ Patch coverage is56.70103% with336 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.39%. Comparing base (244a5c7) to head (d5e54ae).

Additional details and impacted files

@@            Coverage Diff             @@##             main    #1252      +/-   ##==========================================- Coverage   71.59%   71.39%   -0.20%==========================================  Files         370      375       +5       Lines       58699    59469     +770     ==========================================+ Hits        42025    42460     +435- Misses      16674    17009     +335

Components	Coverage Δ
datadog-crashtracker	`54.45% <70.72%> (+1.86%)`	⬆️
datadog-crashtracker-ffi	`18.37% <90.40%> (+12.43%)`	⬆️
datadog-alloc	`∅ <ø> (∅)`
data-pipeline	`∅ <ø> (∅)`
data-pipeline-ffi	`∅ <ø> (∅)`
ddcommon	`∅ <ø> (∅)`
ddcommon-ffi	`∅ <ø> (∅)`
ddtelemetry	`∅ <ø> (∅)`
ddtelemetry-ffi	`∅ <ø> (∅)`
dogstatsd-client	`∅ <ø> (∅)`
datadog-ipc	`82.59% <ø> (ø)`
datadog-profiling	`75.93% <ø> (ø)`
datadog-profiling-ffi	`62.16% <ø> (ø)`
datadog-sidecar	`36.72% <ø> (ø)`
datdog-sidecar-ffi	`11.53% <ø> (ø)`
spawn-worker	`55.18% <ø> (ø)`
tinybytes	`∅ <ø> (∅)`
datadog-trace-normalization	`∅ <ø> (∅)`
datadog-trace-obfuscation	`94.17% <ø> (ø)`
datadog-trace-protobuf	`∅ <ø> (∅)`
datadog-trace-utils	`∅ <ø> (∅)`
datadog-tracer-flare	`63.48% <ø> (ø)`
datadog-log	`∅ <ø> (∅)`

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Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	82.93 MB	83.06 MB	+.14% (+126.46 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.50 MB	7.57 MB	+.83% (+64.00 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.55 MB	9.55 MB	+.06% (+6.15 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	96.06 MB	96.24 MB	+.18% (+182.75 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.93 MB	18.94 MB	+.03% (+7.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	52.37 KB	52.37 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	131.53 MB	131.58 MB	+.03% (+48.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	693.23 MB	693.77 MB	+.07% (+543.77 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	6.25 MB	6.26 MB	+.03% (+2.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	52.37 KB	52.37 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	18.91 MB	18.92 MB	+.04% (+8.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	36.54 MB	36.55 MB	+.03% (+13.63 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	16.02 MB	16.03 MB	+.03% (+6.50 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	53.19 KB	53.19 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	133.73 MB	133.76 MB	+.02% (+40.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	681.16 MB	681.69 MB	+.07% (+547.79 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.80 MB	4.80 MB	+.04% (+2.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	53.19 KB	53.19 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	20.05 MB	20.06 MB	+.03% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	34.31 MB	34.32 MB	+.03% (+12.89 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	71.88 MB	72.00 MB	+.15% (+116.98 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.91 MB	8.92 MB	+.13% (+12.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	90.84 MB	90.99 MB	+.16% (+155.75 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.25 MB	10.28 MB	+.23% (+24.33 KB) 🔍

gyuheon0h changed the title~~[crashtracking] Allow runtimes to register runtime collection callbacks~~[crashtracking] Allow runtimes to register runtime stack collection callbacks

Oct 1, 2025

gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch fromaa11ce8 to3ee9ed8Compare

October 2, 2025 17:13

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gyuheon0h marked this pull request as draft

October 3, 2025 14:46

gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch 3 times, most recently from2846753 to5fad559Compare

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bin_tests/src/modes/unix/test_011_runtime_callback_string.rs OutdatedShow resolvedHide resolved

gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch from9f05ba9 tobc09cd5Compare

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gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch 6 times, most recently from8a36ebb tod86a9c3Compare

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gyuheon0h commentedOct 28, 2025

TODO: Fix Frame emitting allocation issue

gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch 2 times, most recently fromc476d2a tof078323Compare

October 29, 2025 18:59

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chatgpt-codex-connectorbot commentedNov 8, 2025

Summary

Blocking:get_registered_callback usesptr::read to move theCallbackData out of the heap allocation that remains stored inRUNTIME_CALLBACK, and laterclear_runtime_callback drops that now-uninitialized allocation viaBox::from_raw, which is undefined behavior. Please clone/copy the callback instead of moving it out (e.g., makeCallbackDataCopy/Clone or otherwise avoid leaving uninitialized memory behind).datadog-crashtracker/src/runtime_callback.rsL152-L204

Testing

⚠️ Not run (review only).

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gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch frombcfd16a to5f63120Compare

November 8, 2025 03:42

gyuheon0hand others added11 commits

November 8, 2025 03:50

Runtime stack collection callabck registration

2c8ac2f

Update ffi doc

8dcd82b

Optional type_name field

fc413be

User CharSlice only in ffi, receiver only sees stacktrace

ca894cc

Can't store fat ptr directly, split and reconstruct Writer

ee5b110

Write frame field bytes directly and process on receiver

b8d4190

Handle empty fields in StackFrame conversion and test for invalid utf…

256bccb

…8 bytes

Update schema test to notify but automatically update

62d2d1a

Don't split writer fat pointer

fe2bcaa

[crashtracking] Crash ping FFI (#1310)

495e097

Crash ping contained endpoint uploadAdd metadata field and move down contained upload logic for FFICrash ping build and upload FFIDon't manually set crash uuid, libdd takes careUnit testsNew default for crashinfobuilderMake uuid non optional, lazily convert to String, remove unused func, add cleaner ping ready checksCode style and fix bad testsCo-authored-by: gyuheon.oh <gyuheon.oh@datadoghq.com>

Semantic merge conflict fix

d5e54ae

gyuheon0h force-pushed thegyuheon0h/prof-12432-runtime-stacks branch fromb65bb87 tod5e54aeCompare

November 8, 2025 04:19

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gyuheon0h commentedNov 8, 2025

/merge

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2025-11-08 04:44:25 UTC ℹ️ Start processing command/merge

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The expected merge time inmain is approximately 34m (p90).

2025-11-08 05:14:01 UTC ℹ️MergeQueue: This merge request was merged

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anais-raison pushed a commit that referenced this pull request

Nov 10, 2025

[crashtracking] Allow runtimes to register runtime stack collection c…

34c4baf

…allbacks (#1252)Runtime stack collection callabck registrationUpdate ffi docOptional type_name fieldUser CharSlice only in ffi, receiver only sees stacktraceCan't store fat ptr directly, split and reconstruct WriterWrite frame field bytes directly and process on receiverHandle empty fields in StackFrame conversion and test for invalid utf8 bytesUpdate schema test to notify but automatically updateDon't split writer fat pointer[crashtracking] Crash ping FFI (#1310)Crash ping contained endpoint uploadAdd metadata field and move down contained upload logic for FFICrash ping build and upload FFIDon't manually set crash uuid, libdd takes careUnit testsNew default for crashinfobuilderMake uuid non optional, lazily convert to String, remove unused func, add cleaner ping ready checksCode style and fix bad testsCo-authored-by: gyuheon.oh <gyuheon.oh@datadoghq.com>Semantic merge conflict fixCo-authored-by: gyuheon.oh <gyuheon.oh@datadoghq.com>

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[crashtracking] Allow runtimes to register runtime stack collection callbacks#1252

[crashtracking] Allow runtimes to register runtime stack collection callbacks#1252

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