[crashtracking] Allow runtimes to register runtime stack collection callbacks

[gyuheon0h]

What does this PR do?

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 new runtime_stacks field in the Experimental field. If runtimes choose to emit frames one by one using ddog_RuntimeStackFrame, the runtime_stacks field will be nicely propagated. If they choose to dump the whole traceback string, additional parsing will have to be implemented in the Receiver 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:

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

Without runtime stack traces, debugging crashes in interpreted languages is significantly hampered 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 of dd-trace-py consuming this API in this experimental PR: DataDog/dd-trace-py#14765

By triggering tests here, we can see outputted Experimental fields:

1. 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"
  }
}

2. 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"
  }
}

[datadog-official]

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

_{This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 7a03e21 | Docs | Was this helpful? Give us feedback!}

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-10-10 17:48:55

Comparing candidate commit 7a03e21 in PR branch gyuheon0h/prof-12432-runtime-stacks with baseline commit d9b1999 in branch main.

Found 5 performance improvements and 8 performance regressions! Performance is the same for 40 metrics, 2 unstable metrics.

scenario:benching deserializing traces from msgpack to their internal representation

• 🟥 execution_time [+8.080ms; +8.782ms] or [+13.234%; +14.383%]

scenario:benching serializing traces from their internal representation to msgpack

• 🟩 execution_time [-751.688µs; -738.553µs] or [-4.959%; -4.872%]

scenario:concentrator/add_spans_to_concentrator

• 🟥 execution_time [+1.021ms; +1.027ms] or [+9.528%; +9.583%]

scenario:credit_card/is_card_number/ 378282246310005

• 🟩 execution_time [-4.135µs; -3.955µs] or [-5.513%; -5.273%]
• 🟩 throughput [+743381.060op/s; +778529.446op/s] or [+5.576%; +5.840%]

scenario:credit_card/is_card_number/378282246310005

• 🟥 execution_time [+5.889µs; +6.145µs] or [+8.155%; +8.509%]
• 🟥 throughput [-1084780.033op/s; -1042524.118op/s] or [-7.833%; -7.528%]

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

• 🟥 execution_time [+38.684µs; +38.903µs] or [+7.797%; +7.841%]
• 🟥 throughput [-146589.966op/s; -145731.397op/s] or [-7.273%; -7.231%]

scenario:normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters

• 🟥 execution_time [+25.029µs; +25.176µs] or [+14.743%; +14.830%]
• 🟥 throughput [-761312.476op/s; -756393.859op/s] or [-12.924%; -12.841%]

scenario:normalization/normalize_service/normalize_service/[empty string]

• 🟩 execution_time [-1.717µs; -1.699µs] or [-4.505%; -4.457%]
• 🟩 throughput [+1224055.976op/s; +1237017.990op/s] or [+4.666%; +4.716%]

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	7a03e21	1760117813	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	34.103µs	34.676µs ± 1.023µs	34.203µs ± 0.050µs	34.297µs	36.833µs	36.909µs	38.505µs	12.58%	1.760	1.358	2.94%	0.072µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[34.534µs; 34.818µs] or [-0.409%; +0.409%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	69.039ms	69.489ms ± 1.832ms	69.248ms ± 0.040ms	69.299ms	69.470ms	80.400ms	89.077ms	28.64%	8.722	79.365	2.63%	0.130ms	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	[69.235ms; 69.743ms] or [-0.365%; +0.365%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	239.608ns	252.353ns ± 12.665ns	246.888ns ± 4.722ns	261.604ns	277.831ns	287.916ns	290.300ns	17.58%	1.234	0.589	5.01%	0.896ns	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	[250.598ns; 254.108ns] or [-0.696%; +0.696%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	157.104µs	157.884µs ± 0.394µs	157.846µs ± 0.195µs	158.043µs	158.374µs	158.672µs	161.770µs	2.49%	4.912	45.715	0.25%	0.028µs	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	[157.830µs; 157.939µs] or [-0.035%; +0.035%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	11.705ms	11.737ms ± 0.016ms	11.735ms ± 0.008ms	11.746ms	11.764ms	11.775ms	11.832ms	0.83%	1.312	5.403	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	[11.735ms; 11.739ms] or [-0.019%; +0.019%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	18.178µs	26.390µs ± 9.741µs	18.611µs ± 0.156µs	34.886µs	43.935µs	45.135µs	67.934µs	265.03%	0.884	0.242	36.82%	0.689µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[25.040µs; 27.740µs] or [-5.116%; +5.116%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	1.175µs	3.249µs ± 1.477µs	3.076µs ± 0.020µs	3.094µs	3.369µs	14.086µs	15.680µs	409.79%	7.517	57.132	45.34%	0.104µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.044µs; 3.453µs] or [-6.299%; +6.299%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	2.429µs	2.454µs ± 0.013µs	2.451µs ± 0.008µs	2.461µs	2.485µs	2.498µs	2.504µs	2.15%	1.200	1.992	0.55%	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	[2.452µs; 2.456µs] or [-0.076%; +0.076%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	3.889µs	3.911µs ± 0.003µs	3.910µs ± 0.001µs	3.912µs	3.915µs	3.918µs	3.920µs	0.24%	-1.390	14.789	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255122555.608op/s	255715732.092op/s ± 186256.241op/s	255740202.360op/s ± 96262.942op/s	255820497.850op/s	255911857.911op/s	255970016.908op/s	257108879.527op/s	0.54%	1.422	15.038	0.07%	13170.305op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	76.633µs	78.334µs ± 0.759µs	78.251µs ± 0.489µs	78.818µs	79.544µs	80.027µs	82.186µs	5.03%	0.880	2.358	0.97%	0.054µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12167538.642op/s	12767033.886op/s ± 122790.078op/s	12779417.517op/s ± 80143.192op/s	12856771.325op/s	12947250.505op/s	12979981.059op/s	13049165.995op/s	2.11%	-0.781	1.912	0.96%	8682.570op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	69.872µs	70.965µs ± 0.625µs	70.892µs ± 0.407µs	71.319µs	72.010µs	72.357µs	74.536µs	5.14%	1.259	4.530	0.88%	0.044µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13416248.923op/s	14092562.516op/s ± 122919.936op/s	14105947.785op/s ± 81366.638op/s	14181175.926op/s	14263120.707op/s	14306209.042op/s	14311832.292op/s	1.46%	-1.135	3.795	0.87%	8691.752op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.890µs	3.911µs ± 0.003µs	3.911µs ± 0.001µs	3.912µs	3.915µs	3.917µs	3.920µs	0.23%	-2.010	18.813	0.07%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	255115331.892op/s	255687665.453op/s ± 175880.866op/s	255700669.355op/s ± 97574.640op/s	255791165.528op/s	255880530.789op/s	255957020.641op/s	257086810.149op/s	0.54%	2.045	19.113	0.07%	12436.655op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	76.762µs	78.230µs ± 0.885µs	78.105µs ± 0.602µs	78.763µs	80.049µs	80.337µs	80.548µs	3.13%	0.543	-0.328	1.13%	0.063µs	1	200
credit_card/is_card_number/378282246310005	throughput	12414893.219op/s	12784495.465op/s ± 143775.576op/s	12803203.452op/s ± 98729.250op/s	12885136.873op/s	12983424.731op/s	13004109.723op/s	13027198.945op/s	1.75%	-0.497	-0.393	1.12%	10166.469op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	52.144µs	52.208µs ± 0.059µs	52.202µs ± 0.022µs	52.223µs	52.269µs	52.338µs	52.863µs	1.27%	7.096	74.305	0.11%	0.004µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	18916723.951op/s	19154321.239op/s ± 21505.241op/s	19156338.873op/s ± 7981.476op/s	19164425.556op/s	19174572.695op/s	19176614.426op/s	19177589.069op/s	0.11%	-7.009	72.972	0.11%	1520.650op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.026µs	6.037µs ± 0.012µs	6.033µs ± 0.003µs	6.037µs	6.069µs	6.085µs	6.107µs	1.23%	3.307	12.582	0.20%	0.001µs	1	200
credit_card/is_card_number/x371413321323331	throughput	163733349.618op/s	165645717.563op/s ± 331490.343op/s	165747345.758op/s ± 72956.872op/s	165802768.702op/s	165869497.895op/s	165917103.712op/s	165935479.038op/s	0.11%	-3.285	12.394	0.20%	23439.907op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.892µs	3.911µs ± 0.009µs	3.910µs ± 0.002µs	3.912µs	3.916µs	3.921µs	3.993µs	2.13%	8.258	75.292	0.22%	0.001µs	1	200
credit_card/is_card_number_no_luhn/	throughput	250412882.563op/s	255670466.129op/s ± 559158.042op/s	255735828.590op/s ± 113088.273op/s	255847790.477op/s	255937344.777op/s	255988046.257op/s	256947712.397op/s	0.47%	-8.197	74.581	0.22%	39538.444op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	64.107µs	64.393µs ± 0.133µs	64.377µs ± 0.085µs	64.469µs	64.622µs	64.746µs	64.912µs	0.83%	0.678	0.922	0.21%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15405572.433op/s	15529784.568op/s ± 31998.783op/s	15533469.374op/s ± 20601.788op/s	15551527.840op/s	15576106.098op/s	15588234.722op/s	15598914.316op/s	0.42%	-0.663	0.883	0.21%	2262.656op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	58.126µs	58.320µs ± 0.128µs	58.288µs ± 0.074µs	58.383µs	58.581µs	58.683µs	58.713µs	0.73%	1.032	0.460	0.22%	0.009µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	17032033.492op/s	17146970.318op/s ± 37476.520op/s	17156077.867op/s ± 21776.451op/s	17175919.370op/s	17191042.178op/s	17196198.591op/s	17204036.067op/s	0.28%	-1.023	0.437	0.22%	2649.990op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.912µs ± 0.003µs	3.911µs ± 0.001µs	3.913µs	3.918µs	3.920µs	3.921µs	0.25%	-0.390	7.255	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255036954.925op/s	255632850.577op/s ± 206754.674op/s	255662634.908op/s ± 96754.326op/s	255754654.772op/s	255852838.819op/s	255955891.700op/s	256927574.257op/s	0.49%	0.412	7.379	0.08%	14619.763op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	54.557µs	54.807µs ± 0.193µs	54.749µs ± 0.108µs	54.906µs	55.158µs	55.415µs	55.702µs	1.74%	1.433	2.585	0.35%	0.014µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	17952787.700op/s	18246095.206op/s ± 63840.351op/s	18265147.361op/s ± 35939.724op/s	18294359.860op/s	18312043.008op/s	18324192.394op/s	18329598.636op/s	0.35%	-1.407	2.459	0.35%	4514.194op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	52.146µs	52.195µs ± 0.030µs	52.187µs ± 0.016µs	52.209µs	52.253µs	52.285µs	52.327µs	0.27%	1.281	2.079	0.06%	0.002µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	19110467.460op/s	19158930.284op/s ± 11150.137op/s	19161924.299op/s ± 5933.272op/s	19166154.490op/s	19172744.984op/s	19174063.092op/s	19176949.307op/s	0.08%	-1.276	2.061	0.06%	788.434op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.027µs	6.035µs ± 0.011µs	6.033µs ± 0.003µs	6.036µs	6.045µs	6.079µs	6.108µs	1.24%	4.455	23.366	0.18%	0.001µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	163730987.517op/s	165693493.269op/s ± 288984.755op/s	165758894.137op/s ± 72593.654op/s	165823281.321op/s	165881444.446op/s	165907441.042op/s	165909327.799op/s	0.09%	-4.426	23.075	0.17%	20434.308op/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	[3.910µs; 3.911µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255689918.769op/s; 255741545.416op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[78.229µs; 78.439µs] or [-0.134%; +0.134%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12750016.362op/s; 12784051.410op/s] or [-0.133%; +0.133%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[70.878µs; 71.052µs] or [-0.122%; +0.122%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[14075526.995op/s; 14109598.037op/s] or [-0.121%; +0.121%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.911µs; 3.911µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255663290.057op/s; 255712040.850op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[78.107µs; 78.352µs] or [-0.157%; +0.157%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[12764569.553op/s; 12804421.377op/s] or [-0.156%; +0.156%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[52.199µs; 52.216µs] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[19151340.819op/s; 19157301.658op/s] or [-0.016%; +0.016%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.035µs; 6.039µs] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[165599776.189op/s; 165691658.936op/s] or [-0.028%; +0.028%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.910µs; 3.913µs] or [-0.031%; +0.031%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255592972.203op/s; 255747960.056op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[64.374µs; 64.411µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15525349.845op/s; 15534219.292op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[58.302µs; 58.337µs] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[17141776.432op/s; 17152164.203op/s] or [-0.030%; +0.030%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.911µs; 3.912µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255604196.368op/s; 255661504.786op/s] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[54.780µs; 54.834µs] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[18237247.547op/s; 18254942.864op/s] or [-0.048%; +0.048%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[52.191µs; 52.199µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[19157384.983op/s; 19160475.586op/s] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.034µs; 6.037µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[165653442.761op/s; 165733543.777op/s] or [-0.024%; +0.024%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	6.203ms	6.259ms ± 0.051ms	6.244ms ± 0.017ms	6.268ms	6.370ms	6.425ms	6.559ms	5.03%	2.445	7.709	0.82%	0.004ms	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	[6.252ms; 6.266ms] or [-0.114%; +0.114%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	534.158µs	534.954µs ± 0.366µs	534.910µs ± 0.244µs	535.154µs	535.691µs	535.976µs	536.143µs	0.23%	0.758	0.628	0.07%	0.026µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1865172.802op/s	1869319.708op/s ± 1278.606op/s	1869474.192op/s ± 851.118op/s	1870207.953op/s	1871055.691op/s	1871537.600op/s	1872104.020op/s	0.14%	-0.754	0.620	0.07%	90.411op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	379.496µs	380.238µs ± 0.403µs	380.167µs ± 0.226µs	380.458µs	380.887µs	381.139µs	383.120µs	0.78%	2.095	11.728	0.11%	0.029µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2610147.664op/s	2629935.619op/s ± 2783.969op/s	2630420.990op/s ± 1565.253op/s	2631794.324op/s	2633464.405op/s	2634955.021op/s	2635075.095op/s	0.18%	-2.065	11.466	0.11%	196.856op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	194.383µs	194.867µs ± 0.227µs	194.852µs ± 0.109µs	194.960µs	195.173µs	195.353µs	196.929µs	1.07%	3.877	32.779	0.12%	0.016µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5077976.336op/s	5131715.133op/s ± 5938.848op/s	5132104.766op/s ± 2867.215op/s	5134935.463op/s	5139014.084op/s	5141798.726op/s	5144491.157op/s	0.24%	-3.809	31.981	0.12%	419.940op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.314µs	36.413µs ± 0.038µs	36.413µs ± 0.026µs	36.443µs	36.474µs	36.491µs	36.507µs	0.26%	-0.078	-0.322	0.10%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27391877.647op/s	27463005.583op/s ± 28510.299op/s	27462886.245op/s ± 19334.181op/s	27481229.255op/s	27511082.996op/s	27525436.105op/s	27537527.795op/s	0.27%	0.084	-0.321	0.10%	2015.983op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	44.947µs	45.074µs ± 0.048µs	45.072µs ± 0.030µs	45.104µs	45.149µs	45.198µs	45.289µs	0.48%	0.518	1.662	0.11%	0.003µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	22080313.146op/s	22185548.903op/s ± 23541.270op/s	22186516.618op/s ± 14613.607op/s	22199916.030op/s	22221161.332op/s	22230853.568op/s	22248410.126op/s	0.28%	-0.508	1.633	0.11%	1664.619op/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	[534.903µs; 535.005µs] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[1869142.505op/s; 1869496.910op/s] or [-0.009%; +0.009%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[380.182µs; 380.294µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2629549.788op/s; 2630321.450op/s] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[194.835µs; 194.898µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5130892.065op/s; 5132538.200op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.407µs; 36.418µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27459054.330op/s; 27466956.836op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.068µs; 45.081µs] or [-0.015%; +0.015%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[22182286.310op/s; 22188811.497op/s] or [-0.015%; +0.015%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	4.959µs	5.039µs ± 0.050µs	5.044µs ± 0.047µs	5.083µs	5.116µs	5.119µs	5.120µs	1.49%	-0.026	-1.569	0.99%	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	[5.032µs; 5.046µs] or [-0.137%; +0.137%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	186.538µs	186.875µs ± 0.267µs	186.824µs ± 0.121µs	186.974µs	187.173µs	188.191µs	188.889µs	1.11%	3.671	21.206	0.14%	0.019µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5294123.642op/s	5351174.120op/s ± 7606.508op/s	5352632.786op/s ± 3459.587op/s	5355598.520op/s	5358704.513op/s	5360216.154op/s	5360841.599op/s	0.15%	-3.630	20.820	0.14%	537.861op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.623µs	17.707µs ± 0.035µs	17.707µs ± 0.024µs	17.730µs	17.768µs	17.781µs	17.815µs	0.61%	0.207	-0.190	0.19%	0.002µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	56132866.495op/s	56474314.746op/s ± 110005.481op/s	56475372.032op/s ± 76119.950op/s	56551370.222op/s	56652911.971op/s	56689991.597op/s	56744779.007op/s	0.48%	-0.197	-0.199	0.19%	7778.562op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.794µs	9.879µs ± 0.074µs	9.862µs ± 0.028µs	9.891µs	10.039µs	10.079µs	10.129µs	2.70%	1.268	0.702	0.74%	0.005µs	1	200
normalization/normalize_name/normalize_name/good	throughput	98729678.141op/s	101228729.297op/s ± 747063.654op/s	101394481.407op/s ± 291823.758op/s	101690254.724op/s	101989080.687op/s	102051351.234op/s	102107988.480op/s	0.70%	-1.243	0.636	0.74%	52825.378op/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	[186.838µs; 186.912µs] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5350119.931op/s; 5352228.309op/s] or [-0.020%; +0.020%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.702µs; 17.712µs] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[56459069.044op/s; 56489560.447op/s] or [-0.027%; +0.027%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.869µs; 9.889µs] or [-0.103%; +0.103%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[101125193.459op/s; 101332265.134op/s] or [-0.102%; +0.102%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	86.146µs	86.435µs ± 0.166µs	86.408µs ± 0.062µs	86.480µs	86.619µs	86.745µs	88.186µs	2.06%	6.265	61.113	0.19%	0.012µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.412µs; 86.458µs] or [-0.027%; +0.027%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	7a03e21	1760117813	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	14.355ms	14.414ms ± 0.033ms	14.410ms ± 0.021ms	14.432ms	14.461ms	14.516ms	14.608ms	1.38%	1.676	6.407	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	[14.409ms; 14.419ms] or [-0.032%; +0.032%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 62.71186% with 242 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.79%. Comparing base (f61c42a) to head (7a03e21).
⚠️ Report is 14 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1252      +/-   ##
==========================================
+ Coverage   71.65%   71.79%   +0.13%     
==========================================
  Files         355      360       +5     
  Lines       56317    57339    +1022     
==========================================
+ Hits        40354    41165     +811     
- Misses      15963    16174     +211     

Components	Coverage Δ
datadog-crashtracker	51.53% <69.84%> (+2.19%)	⬆️
datadog-crashtracker-ffi	13.90% <74.73%> (+7.97%)	⬆️
datadog-alloc	98.73% <ø> (ø)
data-pipeline	87.86% <ø> (-2.55%)	⬇️
data-pipeline-ffi	88.19% <ø> (ø)
ddcommon	84.54% <ø> (+0.24%)	⬆️
ddcommon-ffi	73.84% <ø> (ø)
ddtelemetry	59.73% <ø> (-0.26%)	⬇️
ddtelemetry-ffi	21.24% <ø> (ø)
dogstatsd-client	83.26% <ø> (ø)
datadog-ipc	82.39% <ø> (-0.11%)	⬇️
datadog-profiling	76.90% <ø> (ø)
datadog-profiling-ffi	62.12% <ø> (ø)
datadog-sidecar	37.53% <ø> (+0.45%)	⬆️
datdog-sidecar-ffi	13.54% <ø> (+2.17%)	⬆️
spawn-worker	55.35% <ø> (ø)
tinybytes	92.22% <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	89.99% <ø> (+0.22%)	⬆️
datadog-tracer-flare	56.08% <ø> (+1.55%)	⬆️
datadog-log	76.31% <ø> (ø)

🚀 New features to boost your workflow:

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

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	71.00 MB	71.15 MB	+.21% (+157.65 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.19 MB	7.19 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.25 MB	9.26 MB	+.06% (+5.83 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	83.28 MB	83.49 MB	+.25% (+215.31 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.39 MB	18.42 MB	+.11% (+22.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.77 KB	67.12 KB	+2.04% (+1.34 KB) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	125.21 MB	125.35 MB	+.11% (+144.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	654.56 MB	655.57 MB	+.15% (+1.00 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.89 MB	5.90 MB	+.08% (+5.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.77 KB	67.12 KB	+2.04% (+1.34 KB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	17.37 MB	17.39 MB	+.13% (+24.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	32.24 MB	32.27 MB	+.09% (+31.51 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	15.68 MB	15.70 MB	+.13% (+22.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.79 KB	68.15 KB	+2.04% (+1.36 KB) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	127.50 MB	127.69 MB	+.14% (+192.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	644.68 MB	645.68 MB	+.15% (+1.00 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.50 MB	4.50 MB	+.10% (+5.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.79 KB	68.15 KB	+2.04% (+1.36 KB) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	18.51 MB	18.53 MB	+.12% (+24.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	30.27 MB	30.30 MB	+.10% (+32.10 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	63.65 MB	63.79 MB	+.21% (+143.35 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.51 MB	8.52 MB	+.18% (+16.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	78.06 MB	78.25 MB	+.24% (+196.99 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.85 MB	9.87 MB	+.23% (+24.00 KB) 🔍

[gleocadie]

good point to send it once we've done every thing else (in case the callback is not signal-safe and block the thread)

When the feature is available, we would encourage libraries to add a flag so this feature is disable if an issue occurs (avoiding releasing a new version)