feat(profiling): OTel protobuf

[danielsn]

What does this PR do?

Adds support for the OTel protobuf format to profiling.

Motivation

First step towards adding OTel support.

Additional Notes

Anything else we should know when reviewing?

How to test the change?

Describe here in detail how the change can be validated.

[github-actions]

📚 Documentation Check Results

⚠️ 632 documentation warning(s) found

📦 libdd-profiling - 632 warning(s)

---

Updated: 2026-02-19 22:02:11 UTC | Commit: 63b3b5f | missing-docs job results

[github-actions]

Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

• Base Branch: origin/main
• PR Branch: origin/dsn/otel-protobuf

Summary by Rule

Rule	Base Branch	PR Branch	Change

Annotation Counts by File

File	Base Branch	PR Branch	Change

Annotation Stats by Crate

Crate	Base Branch	PR Branch	Change
clippy-annotation-reporter	5	5	No change (0%)
datadog-ffe-ffi	1	1	No change (0%)
datadog-ipc	27	27	No change (0%)
datadog-live-debugger	6	6	No change (0%)
datadog-live-debugger-ffi	10	10	No change (0%)
datadog-profiling-replayer	4	4	No change (0%)
datadog-remote-config	3	3	No change (0%)
datadog-sidecar	59	59	No change (0%)
libdd-common	10	10	No change (0%)
libdd-common-ffi	12	12	No change (0%)
libdd-crashtracker	12	12	No change (0%)
libdd-data-pipeline	5	5	No change (0%)
libdd-ddsketch	2	2	No change (0%)
libdd-dogstatsd-client	1	1	No change (0%)
libdd-profiling	13	13	No change (0%)
libdd-telemetry	19	19	No change (0%)
libdd-tinybytes	4	4	No change (0%)
libdd-trace-normalization	2	2	No change (0%)
libdd-trace-obfuscation	9	9	No change (0%)
libdd-trace-utils	15	15	No change (0%)
Total	219	219	No change (0%)

About This Report

This report tracks Clippy allow annotations for specific rules, showing how they've changed in this PR. Decreasing the number of these annotations generally improves code quality.

[github-actions]

🔒 Cargo Deny Results

⚠️ 1 issue(s) found, showing only errors (advisories, bans, sources)

📦 libdd-profiling - 1 error(s)

Show output

error[vulnerability]: Integer overflow in `BytesMut::reserve`
   ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:30:1
   │
30 │ bytes 1.8.0 registry+https://github.com/rust-lang/crates.io-index
   │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
   │
   ├ ID: RUSTSEC-2026-0007
   ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0007
   ├ In the unique reclaim path of `BytesMut::reserve`, the condition
     ```rs
     if v_capacity >= new_cap + offset
     ```
     uses an unchecked addition. When `new_cap + offset` overflows `usize` in release builds, this condition may incorrectly pass, causing `self.cap` to be set to a value that exceeds the actual allocated capacity. Subsequent APIs such as `spare_capacity_mut()` then trust this corrupted `cap` value and may create out-of-bounds slices, leading to UB.
     
     This behavior is observable in release builds (integer overflow wraps), whereas debug builds panic due to overflow checks.
     
     ## PoC
     
     ```rs
     use bytes::*;
     
     fn main() {
         let mut a = BytesMut::from(&b"hello world"[..]);
         let mut b = a.split_off(5);
     
         // Ensure b becomes the unique owner of the backing storage
         drop(a);
     
         // Trigger overflow in new_cap + offset inside reserve
         b.reserve(usize::MAX - 6);
     
         // This call relies on the corrupted cap and may cause UB & HBO
         b.put_u8(b'h');
     }
     ```
     
     # Workarounds
     
     Users of `BytesMut::reserve` are only affected if integer overflow checks are configured to wrap. When integer overflow is configured to panic, this issue does not apply.
   ├ Announcement: https://github.com/advisories/GHSA-434x-w66g-qw3r
   ├ Solution: Upgrade to >=1.11.1 (try `cargo update -p bytes`)
   ├ bytes v1.8.0
     ├── combine v4.6.7
     │   └── jni v0.21.1
     │       └── rustls-platform-verifier v0.6.2
     │           └── reqwest v0.13.1
     │               ├── libdd-common v1.1.0
     │               │   └── libdd-profiling v1.0.0
     │               │       └── (dev) libdd-profiling v1.0.0 (*)
     │               └── libdd-profiling v1.0.0 (*)
     ├── http v1.1.0
     │   ├── http-body v1.0.1
     │   │   ├── http-body-util v0.1.2
     │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   ├── libdd-profiling v1.0.0 (*)
     │   │   │   └── reqwest v0.13.1 (*)
     │   │   ├── hyper v1.6.0
     │   │   │   ├── hyper-rustls v0.27.3
     │   │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   │   └── reqwest v0.13.1 (*)
     │   │   │   ├── hyper-util v0.1.17
     │   │   │   │   ├── hyper-rustls v0.27.3 (*)
     │   │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   │   └── reqwest v0.13.1 (*)
     │   │   │   ├── libdd-common v1.1.0 (*)
     │   │   │   └── reqwest v0.13.1 (*)
     │   │   ├── hyper-util v0.1.17 (*)
     │   │   ├── libdd-common v1.1.0 (*)
     │   │   ├── reqwest v0.13.1 (*)
     │   │   └── tower-http v0.6.8
     │   │       └── reqwest v0.13.1 (*)
     │   ├── http-body-util v0.1.2 (*)
     │   ├── hyper v1.6.0 (*)
     │   ├── hyper-rustls v0.27.3 (*)
     │   ├── hyper-util v0.1.17 (*)
     │   ├── libdd-common v1.1.0 (*)
     │   ├── libdd-profiling v1.0.0 (*)
     │   ├── multer v3.1.0
     │   │   └── libdd-common v1.1.0 (*)
     │   ├── reqwest v0.13.1 (*)
     │   └── tower-http v0.6.8 (*)
     ├── http-body v1.0.1 (*)
     ├── http-body-util v0.1.2 (*)
     ├── hyper v1.6.0 (*)
     ├── hyper-util v0.1.17 (*)
     ├── libdd-common v1.1.0 (*)
     ├── libdd-profiling v1.0.0 (*)
     ├── multer v3.1.0 (*)
     ├── prost v0.14.3
     │   ├── libdd-profiling v1.0.0 (*)
     │   └── libdd-profiling-protobuf v1.0.0
     │       ├── libdd-profiling v1.0.0 (*)
     │       └── (dev) libdd-profiling-protobuf v1.0.0 (*)
     ├── reqwest v0.13.1 (*)
     ├── tokio v1.49.0
     │   ├── hyper v1.6.0 (*)
     │   ├── hyper-rustls v0.27.3 (*)
     │   ├── hyper-util v0.1.17 (*)
     │   ├── (dev) libdd-common v1.1.0 (*)
     │   ├── libdd-profiling v1.0.0 (*)
     │   ├── reqwest v0.13.1 (*)
     │   ├── tokio-rustls v0.26.0
     │   │   ├── hyper-rustls v0.27.3 (*)
     │   │   ├── libdd-common v1.1.0 (*)
     │   │   └── reqwest v0.13.1 (*)
     │   ├── tokio-util v0.7.12
     │   │   └── libdd-profiling v1.0.0 (*)
     │   └── tower v0.5.2
     │       ├── reqwest v0.13.1 (*)
     │       └── tower-http v0.6.8 (*)
     ├── tokio-util v0.7.12 (*)
     └── tower-http v0.6.8 (*)

advisories FAILED, bans ok, sources ok

---

Updated: 2026-02-19 22:05:12 UTC | Commit: 63b3b5f | dependency-check job results

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 71.20%. Comparing base (27de9f3) to head (b5ca4a3).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #1611      +/-   ##
==========================================
+ Coverage   71.17%   71.20%   +0.03%     
==========================================
  Files         423      424       +1     
  Lines       62063    62206     +143     
==========================================
+ Hits        44173    44295     +122     
- Misses      17890    17911      +21     

Components	Coverage Δ
libdd-crashtracker	62.51% <ø> (-0.04%)	⬇️
libdd-crashtracker-ffi	15.80% <ø> (ø)
libdd-alloc	98.77% <ø> (ø)
libdd-data-pipeline	86.94% <ø> (ø)
libdd-data-pipeline-ffi	74.39% <ø> (ø)
libdd-common	80.58% <ø> (ø)
libdd-common-ffi	73.75% <ø> (ø)
libdd-telemetry	62.52% <ø> (ø)
libdd-telemetry-ffi	16.75% <ø> (ø)
libdd-dogstatsd-client	82.64% <ø> (ø)
datadog-ipc	80.71% <ø> (-0.12%)	⬇️
libdd-profiling	81.81% <100.00%> (+0.27%)	⬆️
libdd-profiling-ffi	63.66% <ø> (ø)
datadog-sidecar	32.78% <ø> (ø)
datdog-sidecar-ffi	9.50% <ø> (ø)
spawn-worker	54.69% <ø> (ø)
libdd-tinybytes	93.16% <ø> (ø)
libdd-trace-normalization	81.71% <ø> (ø)
libdd-trace-obfuscation	94.21% <ø> (ø)
libdd-trace-protobuf	68.00% <ø> (ø)
libdd-trace-utils	89.09% <ø> (ø)
datadog-tracer-flare	88.95% <ø> (ø)
libdd-log	74.69% <ø> (ø)

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

[pr-commenter]

Benchmarks

Comparison

Benchmark execution time: 2026-02-19 22:17:31

Comparing candidate commit b5ca4a3 in PR branch dsn/otel-protobuf with baseline commit 27de9f3 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 57 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	b5ca4a3	1771538452	dsn/otel-protobuf

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	187.691ns	190.447ns ± 2.201ns	190.194ns ± 1.420ns	191.450ns	194.673ns	197.213ns	198.603ns	4.42%	1.070	1.187	1.15%	0.156ns	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	[190.142ns; 190.752ns] or [-0.160%; +0.160%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	88.720µs	89.061µs ± 0.188µs	89.017µs ± 0.077µs	89.145µs	89.292µs	89.562µs	90.743µs	1.94%	4.133	31.900	0.21%	0.013µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
sql/obfuscate_sql_string	execution_time	[89.034µs; 89.087µs] or [-0.029%; +0.029%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	144.858µs	146.642µs ± 1.907µs	146.315µs ± 0.562µs	147.027µs	148.305µs	153.362µs	166.086µs	13.51%	6.318	56.012	1.30%	0.135µs	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	[146.377µs; 146.906µs] or [-0.180%; +0.180%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	493.258µs	494.154µs ± 0.508µs	494.136µs ± 0.257µs	494.375µs	494.779µs	495.451µs	498.340µs	0.85%	2.969	21.693	0.10%	0.036µs	1	200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	2006662.118op/s	2023662.904op/s ± 2075.921op/s	2023735.836op/s ± 1052.566op/s	2024972.922op/s	2026184.347op/s	2027226.928op/s	2027335.922op/s	0.18%	-2.923	21.220	0.10%	146.790op/s	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	371.744µs	372.469µs ± 0.311µs	372.431µs ± 0.228µs	372.689µs	372.976µs	373.167µs	373.743µs	0.35%	0.408	0.490	0.08%	0.022µs	1	200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	2675638.820op/s	2684788.573op/s ± 2240.315op/s	2685059.872op/s ± 1640.795op/s	2686425.521op/s	2688113.512op/s	2689093.152op/s	2690024.500op/s	0.18%	-0.402	0.475	0.08%	158.414op/s	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	167.736µs	167.960µs ± 0.131µs	167.941µs ± 0.091µs	168.039µs	168.186µs	168.259µs	168.490µs	0.33%	0.626	0.283	0.08%	0.009µs	1	200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	5935063.777op/s	5953805.708op/s ± 4644.802op/s	5954486.536op/s ± 3225.564op/s	5957337.154op/s	5960164.478op/s	5961013.522op/s	5961737.844op/s	0.12%	-0.621	0.269	0.08%	328.437op/s	1	200
normalization/normalize_service/normalize_service/[empty string]	execution_time	38.728µs	38.846µs ± 0.046µs	38.842µs ± 0.032µs	38.877µs	38.934µs	38.953µs	38.968µs	0.32%	0.294	-0.227	0.12%	0.003µs	1	200
normalization/normalize_service/normalize_service/[empty string]	throughput	25661892.428op/s	25742961.212op/s ± 30672.020op/s	25745089.094op/s ± 21268.872op/s	25764507.771op/s	25789771.623op/s	25803283.446op/s	25821007.539op/s	0.29%	-0.288	-0.231	0.12%	2168.839op/s	1	200
normalization/normalize_service/normalize_service/test_ASCII	execution_time	45.630µs	45.768µs ± 0.105µs	45.754µs ± 0.025µs	45.784µs	45.848µs	45.908µs	47.101µs	2.94%	10.229	126.667	0.23%	0.007µs	1	200
normalization/normalize_service/normalize_service/test_ASCII	throughput	21230797.258op/s	21849289.103op/s ± 49144.916op/s	21855997.180op/s ± 11872.652op/s	21865752.976op/s	21880183.716op/s	21908023.959op/s	21915613.107op/s	0.27%	-10.063	123.860	0.22%	3475.070op/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	[494.084µs; 494.224µs] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000...	throughput	[2023375.202op/s; 2023950.607op/s] or [-0.014%; +0.014%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	execution_time	[372.426µs; 372.512µs] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて	throughput	[2684478.087op/s; 2685099.059op/s] or [-0.012%; +0.012%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	execution_time	[167.942µs; 167.978µs] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters	throughput	[5953161.984op/s; 5954449.433op/s] or [-0.011%; +0.011%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	execution_time	[38.839µs; 38.852µs] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/[empty string]	throughput	[25738710.365op/s; 25747212.059op/s] or [-0.017%; +0.017%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	execution_time	[45.754µs; 45.783µs] or [-0.032%; +0.032%]	None	None	None
normalization/normalize_service/normalize_service/test_ASCII	throughput	[21842478.090op/s; 21856100.115op/s] or [-0.031%; +0.031%]	None	None	None

Group 5

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	10.627ms	10.656ms ± 0.014ms	10.653ms ± 0.008ms	10.664ms	10.679ms	10.709ms	10.722ms	0.65%	1.342	3.705	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	[10.654ms; 10.658ms] or [-0.018%; +0.018%]	None	None	None

Group 6

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	14.849ms	14.887ms ± 0.024ms	14.882ms ± 0.008ms	14.893ms	14.912ms	14.989ms	15.050ms	1.13%	3.450	16.345	0.16%	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	[14.884ms; 14.890ms] or [-0.022%; +0.022%]	None	None	None

Group 7

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	34.376µs	35.144µs ± 1.034µs	34.689µs ± 0.093µs	34.802µs	37.364µs	37.406µs	38.005µs	9.56%	1.682	0.915	2.93%	0.073µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
redis/obfuscate_redis_string	execution_time	[35.000µs; 35.287µs] or [-0.408%; +0.408%]	None	None	None

Group 8

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	17.534µs	24.070µs ± 8.663µs	17.811µs ± 0.163µs	31.842µs	40.710µs	48.388µs	65.587µs	268.24%	1.268	1.696	35.90%	0.613µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
two way interface	execution_time	[22.870µs; 25.271µs] or [-4.988%; +4.988%]	None	None	None

Group 9

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	3.423ms	3.449ms ± 0.013ms	3.448ms ± 0.010ms	3.458ms	3.473ms	3.486ms	3.492ms	1.25%	0.529	0.172	0.38%	0.001ms	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	[3.447ms; 3.451ms] or [-0.053%; +0.053%]	None	None	None

Group 10

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	241.577ns	255.011ns ± 17.376ns	246.502ns ± 3.304ns	256.082ns	289.383ns	302.205ns	305.661ns	24.00%	1.464	0.692	6.80%	1.229ns	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	[252.602ns; 257.419ns] or [-0.944%; +0.944%]	None	None	None

Group 11

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	2.400µs	2.419µs ± 0.018µs	2.413µs ± 0.006µs	2.422µs	2.474µs	2.482µs	2.483µs	2.90%	2.225	4.668	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	[2.416µs; 2.421µs] or [-0.105%; +0.105%]	None	None	None

Group 12

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample_frames_x1000	execution_time	4.169ms	4.173ms ± 0.007ms	4.172ms ± 0.002ms	4.174ms	4.176ms	4.179ms	4.263ms	2.18%	11.708	151.656	0.16%	0.000ms	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample_frames_x1000	execution_time	[4.172ms; 4.174ms] or [-0.023%; +0.023%]	None	None	None

Group 13

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

scenario	metric	min	mean ± sd	median ± mad	p75	p95	p99	max	peak_to_median_ratio	skewness	kurtosis	cv	sem	runs	sample_size
profile_add_sample2_frames_x1000	execution_time	743.986µs	745.416µs ± 0.585µs	745.354µs ± 0.329µs	745.687µs	746.375µs	746.962µs	748.586µs	0.43%	0.985	3.977	0.08%	0.041µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
profile_add_sample2_frames_x1000	execution_time	[745.335µs; 745.497µs] or [-0.011%; +0.011%]	None	None	None

Group 14

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	185.396µs	185.829µs ± 0.292µs	185.798µs ± 0.168µs	185.945µs	186.299µs	186.720µs	187.310µs	0.81%	1.840	5.764	0.16%	0.021µs	1	200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	5338756.086op/s	5381300.717op/s ± 8439.035op/s	5382199.398op/s ± 4878.659op/s	5387685.744op/s	5390506.628op/s	5393305.735op/s	5393858.176op/s	0.22%	-1.820	5.645	0.16%	596.730op/s	1	200
normalization/normalize_name/normalize_name/bad-name	execution_time	17.299µs	17.609µs ± 0.084µs	17.619µs ± 0.050µs	17.667µs	17.726µs	17.761µs	17.785µs	0.94%	-0.736	0.732	0.48%	0.006µs	1	200
normalization/normalize_name/normalize_name/bad-name	throughput	56225776.258op/s	56791623.629op/s ± 273199.025op/s	56756801.881op/s ± 160476.335op/s	56949488.835op/s	57338675.961op/s	57515956.006op/s	57806641.157op/s	1.85%	0.767	0.804	0.48%	19318.088op/s	1	200
normalization/normalize_name/normalize_name/good	execution_time	9.894µs	9.958µs ± 0.076µs	9.923µs ± 0.011µs	9.943µs	10.134µs	10.185µs	10.260µs	3.39%	1.765	2.097	0.76%	0.005µs	1	200
normalization/normalize_name/normalize_name/good	throughput	97469029.765op/s	100430952.608op/s ± 757220.651op/s	100774982.345op/s ± 111022.463op/s	100866427.454op/s	100982514.367op/s	101057672.645op/s	101067823.349op/s	0.29%	-1.744	1.987	0.75%	53543.586op/s	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	execution_time	[185.789µs; 185.870µs] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo...	throughput	[5380131.148op/s; 5382470.286op/s] or [-0.022%; +0.022%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	execution_time	[17.597µs; 17.620µs] or [-0.066%; +0.066%]	None	None	None
normalization/normalize_name/normalize_name/bad-name	throughput	[56753760.872op/s; 56829486.386op/s] or [-0.067%; +0.067%]	None	None	None
normalization/normalize_name/normalize_name/good	execution_time	[9.947µs; 9.968µs] or [-0.106%; +0.106%]	None	None	None
normalization/normalize_name/normalize_name/good	throughput	[100326009.108op/s; 100535896.107op/s] or [-0.104%; +0.104%]	None	None	None

Group 15

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	3.890µs	3.914µs ± 0.004µs	3.914µs ± 0.002µs	3.916µs	3.920µs	3.922µs	3.931µs	0.43%	-1.762	11.550	0.10%	0.000µs	1	200
credit_card/is_card_number/	throughput	254418683.170op/s	255491581.984op/s ± 266106.750op/s	255501759.580op/s ± 139131.910op/s	255619113.919op/s	255789518.294op/s	256806158.481op/s	257076725.836op/s	0.62%	1.795	11.696	0.10%	18816.589op/s	1	200
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	78.527µs	81.077µs ± 0.691µs	81.088µs ± 0.432µs	81.522µs	82.095µs	82.275µs	82.980µs	2.33%	-0.537	0.838	0.85%	0.049µs	1	200
credit_card/is_card_number/ 3782-8224-6310-005	throughput	12051087.204op/s	12334893.538op/s ± 105569.837op/s	12332221.629op/s ± 65630.720op/s	12397329.285op/s	12528687.894op/s	12627462.909op/s	12734427.348op/s	3.26%	0.603	0.969	0.85%	7464.915op/s	1	200
credit_card/is_card_number/ 378282246310005	execution_time	71.799µs	72.362µs ± 0.406µs	72.304µs ± 0.292µs	72.605µs	73.140µs	73.460µs	73.824µs	2.10%	0.900	0.466	0.56%	0.029µs	1	200
credit_card/is_card_number/ 378282246310005	throughput	13545767.347op/s	13819774.295op/s ± 77197.439op/s	13830408.778op/s ± 55777.288op/s	13883676.268op/s	13911850.326op/s	13916675.826op/s	13927816.635op/s	0.70%	-0.873	0.385	0.56%	5458.683op/s	1	200
credit_card/is_card_number/37828224631	execution_time	3.895µs	3.913µs ± 0.003µs	3.913µs ± 0.002µs	3.915µs	3.918µs	3.922µs	3.924µs	0.29%	-0.672	6.008	0.09%	0.000µs	1	200
credit_card/is_card_number/37828224631	throughput	254848350.276op/s	255565175.457op/s ± 219951.745op/s	255583093.185op/s ± 115632.093op/s	255695508.668op/s	255809106.045op/s	255969646.116op/s	256734226.138op/s	0.45%	0.691	6.088	0.09%	15552.937op/s	1	200
credit_card/is_card_number/378282246310005	execution_time	68.633µs	69.163µs ± 0.343µs	69.083µs ± 0.174µs	69.307µs	69.824µs	70.286µs	70.654µs	2.27%	1.507	2.796	0.49%	0.024µs	1	200
credit_card/is_card_number/378282246310005	throughput	14153477.578op/s	14458984.342op/s ± 71169.592op/s	14475334.064op/s ± 36388.200op/s	14507092.542op/s	14539154.598op/s	14553352.347op/s	14570256.319op/s	0.66%	-1.470	2.638	0.49%	5032.450op/s	1	200
credit_card/is_card_number/37828224631000521389798	execution_time	45.444µs	45.749µs ± 0.078µs	45.750µs ± 0.052µs	45.796µs	45.867µs	45.912µs	45.945µs	0.42%	-0.194	0.431	0.17%	0.005µs	1	200
credit_card/is_card_number/37828224631000521389798	throughput	21765337.855op/s	21858543.771op/s ± 37077.471op/s	21857699.887op/s ± 24954.909op/s	21885203.420op/s	21914275.727op/s	21940469.241op/s	22005178.150op/s	0.67%	0.206	0.455	0.17%	2621.773op/s	1	200
credit_card/is_card_number/x371413321323331	execution_time	6.430µs	6.438µs ± 0.004µs	6.438µs ± 0.003µs	6.441µs	6.444µs	6.447µs	6.453µs	0.24%	0.338	0.037	0.06%	0.000µs	1	200
credit_card/is_card_number/x371413321323331	throughput	154970870.163op/s	155336363.072op/s ± 100190.705op/s	155339767.005op/s ± 73908.938op/s	155412635.064op/s	155495225.276op/s	155510756.316op/s	155532031.141op/s	0.12%	-0.335	0.029	0.06%	7084.553op/s	1	200
credit_card/is_card_number_no_luhn/	execution_time	3.894µs	3.914µs ± 0.004µs	3.913µs ± 0.002µs	3.915µs	3.917µs	3.920µs	3.940µs	0.69%	1.274	18.722	0.10%	0.000µs	1	200
credit_card/is_card_number_no_luhn/	throughput	253777597.693op/s	255522657.411op/s ± 260420.477op/s	255534825.843op/s ± 115959.186op/s	255640340.058op/s	255800353.069op/s	255914608.344op/s	256818888.125op/s	0.50%	-1.216	18.554	0.10%	18414.509op/s	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	61.353µs	62.851µs ± 0.470µs	62.876µs ± 0.315µs	63.184µs	63.594µs	63.773µs	64.228µs	2.15%	-0.151	0.287	0.75%	0.033µs	1	200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	15569545.734op/s	15911517.378op/s ± 119055.918op/s	15904417.467op/s ± 79245.181op/s	15986823.642op/s	16097581.830op/s	16222271.594op/s	16299064.669op/s	2.48%	0.202	0.321	0.75%	8418.525op/s	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	53.850µs	54.042µs ± 0.069µs	54.037µs ± 0.047µs	54.091µs	54.161µs	54.208µs	54.219µs	0.34%	0.221	-0.234	0.13%	0.005µs	1	200
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	18443561.710op/s	18504029.642op/s ± 23625.020op/s	18505827.547op/s ± 16147.491op/s	18520054.482op/s	18540238.970op/s	18553034.022op/s	18570174.443op/s	0.35%	-0.214	-0.235	0.13%	1670.541op/s	1	200
credit_card/is_card_number_no_luhn/37828224631	execution_time	3.896µs	3.914µs ± 0.003µs	3.914µs ± 0.002µs	3.915µs	3.917µs	3.919µs	3.920µs	0.16%	-1.213	7.588	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/37828224631	throughput	255110548.237op/s	255521382.568op/s ± 176090.748op/s	255523201.526op/s ± 111466.818op/s	255635378.111op/s	255774586.817op/s	255826930.215op/s	256670107.687op/s	0.45%	1.230	7.709	0.07%	12451.496op/s	1	200
credit_card/is_card_number_no_luhn/378282246310005	execution_time	50.190µs	50.347µs ± 0.090µs	50.336µs ± 0.056µs	50.402µs	50.487µs	50.642µs	50.803µs	0.93%	1.220	3.219	0.18%	0.006µs	1	200
credit_card/is_card_number_no_luhn/378282246310005	throughput	19684040.487op/s	19862053.095op/s ± 35353.684op/s	19866361.284op/s ± 22158.006op/s	19887904.177op/s	19906837.306op/s	19919526.596op/s	19924295.686op/s	0.29%	-1.201	3.122	0.18%	2499.883op/s	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	45.481µs	45.738µs ± 0.094µs	45.747µs ± 0.067µs	45.807µs	45.887µs	45.903µs	45.956µs	0.46%	-0.193	-0.549	0.21%	0.007µs	1	200
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	21759916.188op/s	21863741.997op/s ± 45186.187op/s	21859219.447op/s ± 32212.539op/s	21896211.960op/s	21940970.704op/s	21957993.367op/s	21987143.846op/s	0.59%	0.201	-0.543	0.21%	3195.146op/s	1	200
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	6.429µs	6.437µs ± 0.004µs	6.436µs ± 0.002µs	6.439µs	6.445µs	6.448µs	6.450µs	0.21%	0.647	0.054	0.07%	0.000µs	1	200
credit_card/is_card_number_no_luhn/x371413321323331	throughput	155048254.274op/s	155352488.363op/s ± 101464.445op/s	155366638.502op/s ± 57735.898op/s	155422137.089op/s	155488624.245op/s	155534226.723op/s	155541740.759op/s	0.11%	-0.644	0.049	0.07%	7174.620op/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; 3.915µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/	throughput	[255454702.147op/s; 255528461.820op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	execution_time	[80.981µs; 81.172µs] or [-0.118%; +0.118%]	None	None	None
credit_card/is_card_number/ 3782-8224-6310-005	throughput	[12320262.574op/s; 12349524.502op/s] or [-0.119%; +0.119%]	None	None	None
credit_card/is_card_number/ 378282246310005	execution_time	[72.306µs; 72.419µs] or [-0.078%; +0.078%]	None	None	None
credit_card/is_card_number/ 378282246310005	throughput	[13809075.472op/s; 13830473.118op/s] or [-0.077%; +0.077%]	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	[255534692.261op/s; 255595658.654op/s] or [-0.012%; +0.012%]	None	None	None
credit_card/is_card_number/378282246310005	execution_time	[69.115µs; 69.210µs] or [-0.069%; +0.069%]	None	None	None
credit_card/is_card_number/378282246310005	throughput	[14449120.921op/s; 14468847.763op/s] or [-0.068%; +0.068%]	None	None	None
credit_card/is_card_number/37828224631000521389798	execution_time	[45.738µs; 45.760µs] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number/37828224631000521389798	throughput	[21853405.190op/s; 21863682.351op/s] or [-0.024%; +0.024%]	None	None	None
credit_card/is_card_number/x371413321323331	execution_time	[6.437µs; 6.438µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number/x371413321323331	throughput	[155322477.604op/s; 155350248.540op/s] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/	execution_time	[3.913µs; 3.914µs] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/	throughput	[255486565.638op/s; 255558749.185op/s] or [-0.014%; +0.014%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	execution_time	[62.786µs; 62.916µs] or [-0.104%; +0.104%]	None	None	None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005	throughput	[15895017.372op/s; 15928017.383op/s] or [-0.104%; +0.104%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	execution_time	[54.033µs; 54.052µs] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/ 378282246310005	throughput	[18500755.442op/s; 18507303.843op/s] or [-0.018%; +0.018%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	execution_time	[3.913µs; 3.914µs] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631	throughput	[255496978.084op/s; 255545787.052op/s] or [-0.010%; +0.010%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	execution_time	[50.335µs; 50.360µs] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/378282246310005	throughput	[19857153.415op/s; 19866952.776op/s] or [-0.025%; +0.025%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	execution_time	[45.725µs; 45.751µs] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/37828224631000521389798	throughput	[21857479.626op/s; 21870004.368op/s] or [-0.029%; +0.029%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	execution_time	[6.436µs; 6.438µs] or [-0.009%; +0.009%]	None	None	None
credit_card/is_card_number_no_luhn/x371413321323331	throughput	[155338426.367op/s; 155366550.359op/s] or [-0.009%; +0.009%]	None	None	None

Group 16

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	160.944µs	161.576µs ± 0.338µs	161.529µs ± 0.142µs	161.682µs	161.959µs	162.809µs	164.584µs	1.89%	4.247	32.018	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	[161.529µs; 161.623µs] or [-0.029%; +0.029%]	None	None	None

Group 17

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	4.944µs	5.023µs ± 0.039µs	5.040µs ± 0.017µs	5.052µs	5.069µs	5.075µs	5.083µs	0.86%	-0.549	-1.257	0.78%	0.003µs	1	200

scenario	metric	95% CI mean	Shapiro-Wilk pvalue	Ljung-Box pvalue (lag=1)	Dip test pvalue
ip_address/quantize_peer_ip_address_benchmark	execution_time	[5.017µs; 5.028µs] or [-0.108%; +0.108%]	None	None	None

Group 18

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	1.190µs	3.212µs ± 1.442µs	3.006µs ± 0.026µs	3.029µs	3.658µs	14.018µs	14.876µs	394.84%	7.398	55.648	44.77%	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	[3.012µs; 3.412µs] or [-6.221%; +6.221%]	None	None	None

Group 19

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz	b5ca4a3	1771538452	dsn/otel-protobuf

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	48.353ms	48.662ms ± 0.881ms	48.525ms ± 0.057ms	48.598ms	48.855ms	52.809ms	56.974ms	17.41%	8.142	68.883	1.81%	0.062ms	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	[48.540ms; 48.784ms] or [-0.251%; +0.251%]	None	None	None

Baseline

Omitted due to size.

[dd-octo-sts]

Artifact Size Benchmark Report

aarch64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so	8.38 MB	8.38 MB	0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a	91.49 MB	91.49 MB	0% (0 B) 👌

aarch64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	106.22 MB	106.22 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so	10.75 MB	10.75 MB	0% (0 B) 👌

libdatadog-x64-windows

Artifact	Baseline	Commit	Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll	24.97 MB	24.97 MB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib	75.94 KB	75.94 KB	0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb	166.41 MB	166.38 MB	--.01% (-24.00 KB) 💪
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	837.48 MB	837.48 MB	+0% (+3.00 KB) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll	9.55 MB	9.55 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib	75.94 KB	75.94 KB	0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb	22.99 MB	22.99 MB	0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib	48.35 MB	48.35 MB	0% (0 B) 👌

libdatadog-x86-windows

Artifact	Baseline	Commit	Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll	21.05 MB	21.05 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib	77.12 KB	77.12 KB	0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb	170.15 MB	170.15 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	823.53 MB	823.53 MB	+0% (+2.00 KB) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll	7.23 MB	7.23 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib	77.12 KB	77.12 KB	0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb	24.58 MB	24.58 MB	0% (0 B) 👌
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib	44.09 MB	44.09 MB	0% (0 B) 👌

x86_64-alpine-linux-musl

Artifact	Baseline	Commit	Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a	80.04 MB	80.04 MB	0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so	9.86 MB	9.86 MB	0% (0 B) 👌

x86_64-unknown-linux-gnu

Artifact	Baseline	Commit	Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a	100.17 MB	100.17 MB	0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so	11.43 MB	11.43 MB	0% (0 B) 👌