[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 a crash with the tracer and agent attached, 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: bc09cd5 | Docs | Was this helpful? Give us feedback!}

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2025-10-24 14:10:55

Comparing candidate commit bc09cd5 in PR branch gyuheon0h/prof-12432-runtime-stacks with baseline commit 636b792 in branch main.

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	bc09cd5	1761313861	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	18.057µs	26.233µs ± 10.413µs	18.287µs ± 0.172µs	34.993µs	44.342µs	53.813µs	77.388µs	323.19%	1.312	2.603	39.59%	0.736µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[24.790µs; 27.676µs] or [-5.501%; +5.501%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	1.178µs	3.228µs ± 1.425µs	3.012µs ± 0.024µs	3.035µs	3.689µs	13.998µs	14.910µs	394.98%	7.319	54.873	44.03%	0.101µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
write only interface	execution_time	[3.031µs; 3.426µs] or [-6.117%; +6.117%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	170.969ns	175.416ns ± 3.670ns	174.618ns ± 1.852ns	176.679ns	181.017ns	184.017ns	208.185ns	19.22%	4.046	30.712	2.09%	0.260ns	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	[174.907ns; 175.925ns] or [-0.290%; +0.290%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	2.324µs	2.400µs ± 0.020µs	2.399µs ± 0.007µs	2.408µs	2.437µs	2.445µs	2.452µs	2.22%	-0.995	3.345	0.85%	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	[2.397µs; 2.403µs] or [-0.118%; +0.118%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	121.537µs	123.133µs ± 1.679µs	122.832µs ± 0.447µs	123.348µs	124.482µs	129.228µs	138.285µs	12.58%	6.171	47.454	1.36%	0.119µs	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	[122.900µs; 123.365µs] or [-0.189%; +0.189%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	60.152ms	60.669ms ± 1.863ms	60.396ms ± 0.189ms	60.632ms	60.781ms	68.119ms	80.267ms	32.90%	8.731	80.251	3.06%	0.132ms	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	[60.411ms; 60.927ms] or [-0.425%; +0.425%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	239.857ns	252.148ns ± 15.051ns	246.663ns ± 5.629ns	256.652ns	286.198ns	302.335ns	304.269ns	23.35%	1.827	2.794	5.95%	1.064ns	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	[250.062ns; 254.234ns] or [-0.827%; +0.827%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	185.587µs	186.088µs ± 0.379µs	186.000µs ± 0.144µs	186.187µs	186.554µs	187.756µs	188.266µs	1.22%	3.034	11.741	0.20%	0.027µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5311627.897op/s	5373837.634op/s ± 10875.337op/s	5376337.221op/s ± 4172.783op/s	5379937.400op/s	5384323.704op/s	5386582.462op/s	5388311.352op/s	0.22%	-3.007	11.560	0.20%	769.002op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.750µs	17.830µs ± 0.043µs	17.823µs ± 0.022µs	17.848µs	17.891µs	17.939µs	18.098µs	1.54%	1.678	7.439	0.24%	0.003µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	55254493.374op/s	56086699.827op/s ± 133835.414op/s	56107144.845op/s ± 69426.579op/s	56166490.695op/s	56270721.873op/s	56330295.404op/s	56336534.574op/s	0.41%	-1.631	7.115	0.24%	9463.593op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	10.546µs	10.592µs ± 0.026µs	10.585µs ± 0.012µs	10.605µs	10.633µs	10.672µs	10.741µs	1.48%	1.925	6.733	0.24%	0.002µs	1	200
normalization/normalize_name/normalize_name/good	throughput	93098422.088op/s	94412092.252op/s ± 230368.764op/s	94473481.643op/s ± 108397.899op/s	94557972.158op/s	94670594.750op/s	94733895.390op/s	94825289.832op/s	0.37%	-1.889	6.493	0.24%	16289.532op/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	[186.035µs; 186.140µs] or [-0.028%; +0.028%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5372330.417op/s; 5375344.851op/s] or [-0.028%; +0.028%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.824µs; 17.836µs] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[56068151.526op/s; 56105248.128op/s] or [-0.033%; +0.033%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[10.588µs; 10.596µs] or [-0.034%; +0.034%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[94380165.356op/s; 94444019.147op/s] or [-0.034%; +0.034%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	10.748ms	10.772ms ± 0.012ms	10.771ms ± 0.007ms	10.778ms	10.795ms	10.803ms	10.836ms	0.61%	1.287	3.705	0.11%	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	[10.771ms; 10.774ms] or [-0.015%; +0.015%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	496.219µs	496.914µs ± 0.565µs	496.847µs ± 0.230µs	497.094µs	497.462µs	497.605µs	503.536µs	1.35%	8.150	92.835	0.11%	0.040µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	1985956.200op/s	2012422.856op/s ± 2265.394op/s	2012690.348op/s ± 931.394op/s	2013499.282op/s	2014372.875op/s	2014765.710op/s	2015237.209op/s	0.13%	-8.054	91.324	0.11%	160.188op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	370.720µs	371.270µs ± 0.264µs	371.274µs ± 0.195µs	371.453µs	371.678µs	371.881µs	371.928µs	0.18%	0.107	-0.600	0.07%	0.019µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2688692.435op/s	2693460.038op/s ± 1911.872op/s	2693430.782op/s ± 1411.312op/s	2694982.023op/s	2696478.464op/s	2697323.713op/s	2697457.084op/s	0.15%	-0.104	-0.601	0.07%	135.190op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	168.462µs	168.746µs ± 0.099µs	168.752µs ± 0.065µs	168.811µs	168.893µs	168.995µs	169.027µs	0.16%	-0.171	0.479	0.06%	0.007µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5916216.197op/s	5926077.212op/s ± 3469.471op/s	5925845.077op/s ± 2286.257op/s	5928279.673op/s	5931951.890op/s	5935133.597op/s	5936073.185op/s	0.17%	0.175	0.480	0.06%	245.329op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	36.255µs	36.564µs ± 0.099µs	36.574µs ± 0.077µs	36.645µs	36.701µs	36.760µs	36.813µs	0.65%	-0.332	-0.097	0.27%	0.007µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	27164547.006op/s	27349265.863op/s ± 74088.201op/s	27341609.896op/s ± 57187.528op/s	27404948.466op/s	27470461.879op/s	27518191.460op/s	27582724.648op/s	0.88%	0.347	-0.079	0.27%	5238.827op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	46.219µs	46.372µs ± 0.124µs	46.364µs ± 0.050µs	46.409µs	46.503µs	46.570µs	47.771µs	3.03%	7.321	80.074	0.27%	0.009µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	20933129.119op/s	21564736.207op/s ± 56423.115op/s	21568230.859op/s ± 23107.138op/s	21593978.738op/s	21620159.502op/s	21630714.166op/s	21635941.626op/s	0.31%	-7.096	76.700	0.26%	3989.717op/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	[496.836µs; 496.992µs] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2012108.895op/s; 2012736.818op/s] or [-0.016%; +0.016%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[371.233µs; 371.306µs] or [-0.010%; +0.010%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2693195.071op/s; 2693725.005op/s] or [-0.010%; +0.010%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[168.732µs; 168.759µs] or [-0.008%; +0.008%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5925596.377op/s; 5926558.048op/s] or [-0.008%; +0.008%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[36.551µs; 36.578µs] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[27338997.951op/s; 27359533.775op/s] or [-0.038%; +0.038%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[46.355µs; 46.389µs] or [-0.037%; +0.037%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21556916.506op/s; 21572555.908op/s] or [-0.036%; +0.036%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	162.279µs	162.905µs ± 0.441µs	162.850µs ± 0.132µs	162.979µs	163.269µs	163.941µs	167.959µs	3.14%	7.961	85.579	0.27%	0.031µs	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	[162.844µs; 162.967µs] or [-0.038%; +0.038%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	3.891µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.917µs	3.918µs	3.921µs	0.22%	-1.697	13.256	0.07%	0.000µs	1	200
credit_card/is_card_number/	throughput	255022852.243op/s	255580929.882op/s ± 189339.504op/s	255587168.014op/s ± 128488.453op/s	255695543.170op/s	255801007.442op/s	255897958.701op/s	256979921.671op/s	0.54%	1.725	13.489	0.07%	13388.325op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.230µs	80.248µs ± 0.925µs	80.243µs ± 0.578µs	80.800µs	81.959µs	82.261µs	82.648µs	3.00%	0.214	-0.331	1.15%	0.065µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12099450.124op/s	12462998.468op/s ± 143380.635op/s	12462122.011op/s ± 90231.397op/s	12556980.245op/s	12702414.178op/s	12761960.795op/s	12782806.818op/s	2.57%	-0.158	-0.353	1.15%	10138.542op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	71.453µs	71.866µs ± 0.358µs	71.777µs ± 0.208µs	72.087µs	72.660µs	72.850µs	73.453µs	2.33%	1.351	1.859	0.50%	0.025µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13614195.483op/s	13915177.594op/s ± 68766.945op/s	13931989.073op/s ± 40434.951op/s	13970765.481op/s	13982782.511op/s	13988938.457op/s	13995174.464op/s	0.45%	-1.321	1.722	0.49%	4862.557op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.893µs	3.914µs ± 0.006µs	3.913µs ± 0.002µs	3.916µs	3.918µs	3.921µs	3.963µs	1.28%	5.721	48.533	0.14%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	252333243.033op/s	255517090.036op/s ± 367599.495op/s	255557308.727op/s ± 137165.825op/s	255677855.912op/s	255807159.168op/s	255863037.441op/s	256884168.968op/s	0.52%	-5.644	47.823	0.14%	25993.210op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	68.308µs	68.873µs ± 0.303µs	68.821µs ± 0.175µs	69.032µs	69.448µs	69.771µs	70.302µs	2.15%	1.238	2.647	0.44%	0.021µs	1	200
credit_card/is_card_number/378282246310005	throughput	14224321.446op/s	14519681.074op/s ± 63498.253op/s	14530389.998op/s ± 36851.736op/s	14561330.931op/s	14602251.017op/s	14620920.188op/s	14639583.971op/s	0.75%	-1.198	2.477	0.44%	4490.005op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.342µs	45.699µs ± 0.168µs	45.705µs ± 0.149µs	45.854µs	45.931µs	45.960µs	45.972µs	0.58%	-0.263	-1.049	0.37%	0.012µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21752368.858op/s	21882636.885op/s ± 80285.795op/s	21879319.150op/s ± 70999.007op/s	21948277.946op/s	22019841.088op/s	22039630.753op/s	22054673.536op/s	0.80%	0.273	-1.043	0.37%	5677.063op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.429µs	6.438µs ± 0.006µs	6.437µs ± 0.003µs	6.440µs	6.445µs	6.449µs	6.494µs	0.88%	4.711	35.418	0.10%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	153994995.856op/s	155336988.301op/s ± 155124.047op/s	155352850.454op/s ± 66304.961op/s	155417406.750op/s	155503697.642op/s	155535731.991op/s	155548704.562op/s	0.13%	-4.666	34.920	0.10%	10968.927op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.893µs	3.914µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.919µs	3.921µs	3.922µs	0.23%	-0.758	6.839	0.08%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	254947802.005op/s	255522134.452op/s ± 212060.200op/s	255532613.362op/s ± 116665.824op/s	255645087.450op/s	255794893.512op/s	255860131.652op/s	256858663.746op/s	0.52%	0.778	6.967	0.08%	14994.921op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	60.774µs	63.130µs ± 0.871µs	63.145µs ± 0.563µs	63.710µs	64.743µs	64.951µs	64.986µs	2.92%	-0.108	-0.054	1.38%	0.062µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15387825.462op/s	15843388.071op/s ± 219133.282op/s	15836668.394op/s ± 141056.448op/s	15977906.702op/s	16200784.142op/s	16422223.774op/s	16454318.001op/s	3.90%	0.189	0.002	1.38%	15495.063op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.935µs	54.344µs ± 0.092µs	54.355µs ± 0.055µs	54.406µs	54.472µs	54.519µs	54.534µs	0.33%	-0.911	2.009	0.17%	0.007µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18337162.331op/s	18401481.277op/s ± 31283.340op/s	18397716.059op/s ± 18650.617op/s	18418030.566op/s	18457575.826op/s	18490513.132op/s	18540799.028op/s	0.78%	0.927	2.064	0.17%	2212.066op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.892µs	3.913µs ± 0.003µs	3.912µs ± 0.002µs	3.914µs	3.917µs	3.919µs	3.923µs	0.28%	-1.192	11.866	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	254879760.772op/s	255581571.571op/s ± 191063.578op/s	255602747.730op/s ± 108179.670op/s	255700662.962op/s	255793925.049op/s	255889503.410op/s	256937823.861op/s	0.52%	1.220	12.063	0.07%	13510.235op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.184µs	50.558µs ± 0.177µs	50.583µs ± 0.092µs	50.653µs	50.779µs	51.041µs	51.257µs	1.33%	0.240	1.183	0.35%	0.013µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19509511.279op/s	19779681.773op/s ± 69222.776op/s	19769620.346op/s ± 35723.516op/s	19818751.070op/s	19900451.049op/s	19916563.951op/s	19926484.290op/s	0.79%	-0.207	1.107	0.35%	4894.789op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.364µs	45.657µs ± 0.171µs	45.673µs ± 0.137µs	45.789µs	45.912µs	45.949µs	45.965µs	0.64%	-0.079	-1.216	0.37%	0.012µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21755536.710op/s	21902890.653op/s ± 82274.594op/s	21894777.002op/s ± 65736.308op/s	21971738.831op/s	22027832.579op/s	22042039.122op/s	22043733.963op/s	0.68%	0.088	-1.217	0.37%	5817.692op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.429µs	6.437µs ± 0.004µs	6.437µs ± 0.003µs	6.440µs	6.443µs	6.446µs	6.447µs	0.17%	0.185	-0.473	0.06%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155100253.251op/s	155355000.835op/s ± 91090.431op/s	155357300.046op/s ± 66272.512op/s	155420138.565op/s	155497517.955op/s	155536531.678op/s	155543831.381op/s	0.12%	-0.183	-0.475	0.06%	6441.066op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
credit_card/is_card_number/	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/	throughput	[255554689.248op/s; 255607170.516op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.120µs; 80.376µs] or [-0.160%; +0.160%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12443127.291op/s; 12482869.645op/s] or [-0.159%; +0.159%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[71.816µs; 71.915µs] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13905647.157op/s; 13924708.031op/s] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/37828224631	throughput	[255466144.282op/s; 255568035.791op/s] or [-0.020%; +0.020%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[68.831µs; 68.915µs] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14510880.827op/s; 14528481.321op/s] or [-0.061%; +0.061%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.676µs; 45.722µs] or [-0.051%; +0.051%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21871510.046op/s; 21893763.724op/s] or [-0.051%; +0.051%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.437µs; 6.439µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155315489.600op/s; 155358487.002op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.914µs] or [-0.011%; +0.011%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255492744.948op/s; 255551523.956op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[63.009µs; 63.251µs] or [-0.191%; +0.191%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15813018.306op/s; 15873757.837op/s] or [-0.192%; +0.192%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[54.331µs; 54.356µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18397145.707op/s; 18405816.847op/s] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.912µs; 3.913µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255555091.997op/s; 255608051.145op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.533µs; 50.582µs] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19770088.162op/s; 19789275.384op/s] or [-0.049%; +0.049%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.633µs; 45.680µs] or [-0.052%; +0.052%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21891488.186op/s; 21914293.121op/s] or [-0.052%; +0.052%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.436µs; 6.437µs] or [-0.008%; +0.008%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155342376.577op/s; 155367625.093op/s] or [-0.008%; +0.008%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	6.024ms	6.203ms ± 0.125ms	6.146ms ± 0.083ms	6.337ms	6.372ms	6.401ms	6.439ms	4.77%	0.222	-1.667	2.01%	0.009ms	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	[6.186ms; 6.220ms] or [-0.279%; +0.279%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	33.050µs	33.680µs ± 1.127µs	33.163µs ± 0.063µs	33.270µs	36.076µs	36.130µs	37.859µs	14.16%	1.760	1.342	3.34%	0.080µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[33.524µs; 33.837µs] or [-0.464%; +0.464%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	4.981µs	5.053µs ± 0.027µs	5.052µs ± 0.021µs	5.077µs	5.093µs	5.095µs	5.096µs	0.86%	-0.284	-0.810	0.54%	0.002µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.050µs; 5.057µs] or [-0.075%; +0.075%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	85.890µs	86.124µs ± 0.268µs	86.099µs ± 0.048µs	86.151µs	86.239µs	86.423µs	89.698µs	4.18%	11.905	155.822	0.31%	0.019µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[86.087µs; 86.161µs] or [-0.043%; +0.043%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	bc09cd5	1761313861	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	14.567ms	14.622ms ± 0.032ms	14.617ms ± 0.013ms	14.631ms	14.681ms	14.738ms	14.806ms	1.29%	2.214	7.969	0.22%	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	[14.617ms; 14.626ms] or [-0.031%; +0.031%]	None	None	None

Baseline

Omitted due to size.

[codecov-commenter]

Codecov Report

❌ Patch coverage is 62.74194% with 231 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.72%. Comparing base (636b792) to head (bc09cd5).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1252      +/-   ##
==========================================
- Coverage   71.80%   71.72%   -0.09%     
==========================================
  Files         368      372       +4     
  Lines       57967    58586     +619     
==========================================
+ Hits        41626    42021     +395     
- Misses      16341    16565     +224     

Components	Coverage Δ
datadog-crashtracker	51.18% <70.20%> (+2.15%)	⬆️
datadog-crashtracker-ffi	13.38% <75.28%> (+7.51%)	⬆️
datadog-alloc	98.73% <ø> (ø)
data-pipeline	87.86% <ø> (ø)
data-pipeline-ffi	88.19% <ø> (ø)
ddcommon	84.31% <ø> (ø)
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> (ø)
datadog-profiling	76.90% <ø> (ø)
datadog-profiling-ffi	62.12% <ø> (ø)
datadog-sidecar	37.24% <ø> (ø)
datdog-sidecar-ffi	13.71% <ø> (ø)
spawn-worker	55.18% <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	90.00% <ø> (ø)
datadog-tracer-flare	61.03% <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.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	7.25 MB	7.25 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	71.35 MB	71.46 MB	+.15% (+115.53 KB) 🔍

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.20 MB	9.27 MB	+.72% (+68.25 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	83.70 MB	83.86 MB	+.18% (+156.88 KB) 🔍

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	18.55 MB	18.57 MB	+.10% (+20.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	65.77 KB	66.79 KB	+1.54% (+1.01 KB) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	129.26 MB	129.39 MB	+.10% (+136.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	677.95 MB	678.85 MB	+.13% (+925.24 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	5.93 MB	5.93 MB	+.08% (+5.00 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	65.77 KB	66.79 KB	+1.54% (+1.01 KB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	17.51 MB	17.53 MB	+.08% (+16.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	32.46 MB	32.48 MB	+.08% (+27.35 KB) 🔍

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	15.81 MB	15.83 MB	+.11% (+18.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	66.79 KB	67.82 KB	+1.54% (+1.03 KB) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	131.42 MB	131.56 MB	+.10% (+144.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	666.48 MB	667.38 MB	+.13% (+923.25 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	4.54 MB	4.55 MB	+.10% (+5.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	66.79 KB	67.82 KB	+1.54% (+1.03 KB) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	18.66 MB	18.67 MB	+.08% (+16.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	30.52 MB	30.55 MB	+.09% (+30.15 KB) 🔍

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	63.95 MB	64.05 MB	+.15% (+104.57 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	8.56 MB	8.57 MB	+.18% (+16.00 KB) 🔍

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	78.42 MB	78.56 MB	+.16% (+134.17 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	9.91 MB	9.92 MB	+.10% (+11.00 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)

[gyuheon0h]

• [crashtracking] Allow runtimes to register runtime stack collection callbacks #1252 👈 (View in Graphite)
• main

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