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feat(profiling)!: TlsConfig for reusable TLS init#1619

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morrisonlevi wants to merge 4 commits intomainfrom
PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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feat(profiling)!: TlsConfig for reusable TLS init#1619
morrisonlevi wants to merge 4 commits intomainfrom
PROF-13824-ProfileExporter-new-creates-TLS-config-every-time

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@morrisonlevi morrisonlevi commented Feb 20, 2026

What does this PR do?

Adds a TlsConfig type that wraps a rustls::ClientConfig pre-configured
with the platform certificate verifier. Callers create a TlsConfig once
and pass it to the new ProfileExporter::new_with_tls() constructor,
which injects it via reqwest::ClientBuilder::tls_backend_preconfigured().

The old ProfileExporter::new() and its FFI counterpart
ddog_prof_Exporter_new are marked #[deprecated].

FFI surface:

  • ddog_prof_TlsConfig_new — creates a ref-counted TLS config handle
  • ddog_prof_TlsConfig_try_clone — bumps the ref count
  • ddog_prof_TlsConfig_drop — decrements the ref count
  • ddog_prof_Exporter_new_with_tls — creates an exporter using a
    pre-built TLS config

Motivation

ProfileExporter::new() calls reqwest::ClientBuilder::build(), which
initializes TLS from scratch every time. On Linux this means loading and
parsing the system certificate store from disk on every exporter creation
— an expensive operation that was identified as a performance regression
when upgrading libdatadog from v25 to v28.

Screenshot 2026-02-20 at 8 37 56 AM

Additional Notes

  • TlsConfig is Clone (cheap — inner Arc), and exposed via
    ArcHandle<TlsConfig> in FFI for shared, ref-counted ownership.
  • ProfileExporter::new() now delegates to TlsConfig::new() +
    new_with_tls() internally.

Note that in v25, this config caching was done implicitly. I'm not a big fan of statics hidden away in libraries, though, so I'm seeing how a new API goes.

How to test the change?

  1. Linux performance: Create a TlsConfig once, then create multiple
    exporters with new_with_tls. Verify that only the first
    TlsConfig::new() call incurs the certificate loading cost.

  2. Backwards compatibility: The old ddog_prof_Exporter_new continues
    to work (it creates a TlsConfig internally). Callers see a
    deprecation warning guiding them to the new API.

@morrisonlevi morrisonlevi added the profiling Relates to the profiling* modules. label Feb 20, 2026
@github-actions github-actions bot removed the profiling Relates to the profiling* modules. label Feb 20, 2026
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github-actions bot commented Feb 20, 2026

📚 Documentation Check Results

⚠️ 644 documentation warning(s) found

📦 libdd-profiling - 644 warning(s)


Updated: 2026-02-24 13:48:40 UTC | Commit: 21db7fd | missing-docs job results

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github-actions bot commented Feb 20, 2026

🔒 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:31:1
   │
31 │ 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
     │           ├── libdd-profiling v1.0.0
     │           │   └── (dev) libdd-profiling v1.0.0 (*)
     │           └── reqwest v0.13.1
     │               ├── libdd-common v1.1.0
     │               │   └── 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 (*)
     ├── (dev) 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
     │   ├── hickory-proto v0.25.2
     │   │   └── hickory-resolver v0.25.2
     │   │       └── reqwest v0.13.1 (*)
     │   ├── hickory-resolver v0.25.2 (*)
     │   ├── 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: 2026-02-24 13:51:34 UTC | Commit: 21db7fd | dependency-check job results

ProfileExporter::new() initializes TLS on every call, which on
Linux involves expensive disk I/O to load the system certificate
store. Add TlsConfig (wrapping rustls::ClientConfig with the
platform verifier) and ProfileExporter::new_with_tls() so callers
can initialize TLS once and reuse it across exporter instances.

FFI: adds ddog_prof_TlsConfig_new, TlsConfig_try_clone,
TlsConfig_drop, and Exporter_new_with_tls via
ArcHandle<TlsConfig> for shared ownership.

Co-authored-by: Cursor <cursoragent@cursor.com>
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Clippy Allow Annotation Report

Comparing clippy allow annotations between branches:

  • Base Branch: origin/main
  • PR Branch: origin/PROF-13824-ProfileExporter-new-creates-TLS-config-every-time

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.

@morrisonlevi morrisonlevi force-pushed the PROF-13824-ProfileExporter-new-creates-TLS-config-every-time branch from c58ab33 to eb5eef9 Compare February 20, 2026 20:13
Co-authored-by: Cursor <cursoragent@cursor.com>
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pr-commenter bot commented Feb 20, 2026

Benchmarks

Comparison

Benchmark execution time: 2026-02-24 14:03:07

Comparing candidate commit 31ed060 in PR branch PROF-13824-ProfileExporter-new-creates-TLS-config-every-time with baseline commit 5bb62b1 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 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 3.297ms 3.319ms ± 0.010ms 3.318ms ± 0.007ms 3.325ms 3.336ms 3.343ms 3.366ms 1.43% 0.623 1.337 0.31% 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 [3.318ms; 3.320ms] or [-0.043%; +0.043%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 10.686ms 10.717ms ± 0.014ms 10.715ms ± 0.008ms 10.726ms 10.740ms 10.764ms 10.782ms 0.62% 1.026 2.700 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 [10.715ms; 10.719ms] or [-0.018%; +0.018%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 1.245µs 3.174µs ± 1.431µs 3.006µs ± 0.022µs 3.023µs 3.354µs 13.860µs 15.162µs 404.32% 7.521 57.114 44.97% 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 [2.976µs; 3.373µs] or [-6.249%; +6.249%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 17.522µs 24.664µs ± 8.959µs 17.830µs ± 0.213µs 32.653µs 41.232µs 41.809µs 67.522µs 278.69% 1.021 0.997 36.23% 0.633µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
two way interface execution_time [23.423µs; 25.906µs] or [-5.034%; +5.034%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 32.807µs 33.459µs ± 1.141µs 32.944µs ± 0.069µs 33.032µs 35.899µs 35.968µs 36.901µs 12.01% 1.705 0.993 3.40% 0.081µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
redis/obfuscate_redis_string execution_time [33.301µs; 33.617µs] or [-0.472%; +0.472%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 246.655ns 256.422ns ± 11.578ns 251.317ns ± 2.289ns 257.681ns 287.200ns 293.859ns 300.566ns 19.60% 1.984 3.323 4.50% 0.819ns 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 [254.818ns; 258.027ns] or [-0.626%; +0.626%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 144.781µs 147.010µs ± 1.885µs 146.703µs ± 0.592µs 147.351µs 148.860µs 152.639µs 166.548µs 13.53% 6.696 60.771 1.28% 0.133µs 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 [146.749µs; 147.271µs] or [-0.178%; +0.178%] None None None

Group 8

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 3.897µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.916µs 3.919µs 3.923µs 3.926µs 0.29% -0.430 8.641 0.07% 0.000µs 1 200
credit_card/is_card_number/ throughput 254696172.597op/s 255428845.957op/s ± 187073.484op/s 255435007.375op/s ± 98216.289op/s 255543251.160op/s 255645191.973op/s 255806464.449op/s 256608626.631op/s 0.46% 0.453 8.741 0.07% 13228.093op/s 1 200
credit_card/is_card_number/ 3782-8224-6310-005 execution_time 78.481µs 80.213µs ± 0.601µs 80.223µs ± 0.394µs 80.624µs 81.148µs 81.666µs 81.709µs 1.85% -0.045 -0.244 0.75% 0.042µs 1 200
credit_card/is_card_number/ 3782-8224-6310-005 throughput 12238480.210op/s 12467476.287op/s ± 93417.112op/s 12465290.106op/s ± 61559.280op/s 12524522.046op/s 12618340.765op/s 12660891.258op/s 12741904.806op/s 2.22% 0.085 -0.240 0.75% 6605.587op/s 1 200
credit_card/is_card_number/ 378282246310005 execution_time 71.428µs 71.758µs ± 0.223µs 71.806µs ± 0.122µs 71.875µs 72.100µs 72.336µs 72.780µs 1.36% 0.760 1.757 0.31% 0.016µs 1 200
credit_card/is_card_number/ 378282246310005 throughput 13740101.851op/s 13935863.023op/s ± 43212.802op/s 13926506.344op/s ± 23740.800op/s 13980563.523op/s 13993087.275op/s 13997846.081op/s 14000148.402op/s 0.53% -0.731 1.633 0.31% 3055.607op/s 1 200
credit_card/is_card_number/37828224631 execution_time 3.896µs 3.915µs ± 0.003µs 3.915µs ± 0.002µs 3.917µs 3.921µs 3.924µs 3.933µs 0.46% 0.321 8.919 0.08% 0.000µs 1 200
credit_card/is_card_number/37828224631 throughput 254265692.622op/s 255399071.067op/s ± 216766.004op/s 255431799.713op/s ± 101378.642op/s 255517349.667op/s 255631674.598op/s 255719833.647op/s 256676863.419op/s 0.49% -0.294 8.970 0.08% 15327.671op/s 1 200
credit_card/is_card_number/378282246310005 execution_time 68.261µs 68.729µs ± 0.299µs 68.744µs ± 0.200µs 68.881µs 69.290µs 69.533µs 69.886µs 1.66% 0.646 0.488 0.43% 0.021µs 1 200
credit_card/is_card_number/378282246310005 throughput 14309027.360op/s 14550225.023op/s ± 63153.973op/s 14546717.559op/s ± 42447.798op/s 14593857.815op/s 14642061.812op/s 14645510.444op/s 14649547.700op/s 0.71% -0.619 0.417 0.43% 4465.660op/s 1 200
credit_card/is_card_number/37828224631000521389798 execution_time 45.472µs 45.744µs ± 0.086µs 45.748µs ± 0.049µs 45.795µs 45.893µs 45.928µs 45.955µs 0.45% -0.184 0.226 0.19% 0.006µs 1 200
credit_card/is_card_number/37828224631000521389798 throughput 21760489.152op/s 21860672.613op/s ± 40943.264op/s 21858983.803op/s ± 23546.823op/s 21884729.383op/s 21927453.501op/s 21964174.517op/s 21991360.910op/s 0.61% 0.196 0.236 0.19% 2895.126op/s 1 200
credit_card/is_card_number/x371413321323331 execution_time 6.556µs 6.620µs ± 0.017µs 6.620µs ± 0.011µs 6.633µs 6.640µs 6.646µs 6.648µs 0.42% -0.966 1.086 0.25% 0.001µs 1 200
credit_card/is_card_number/x371413321323331 throughput 150411273.365op/s 151067127.356op/s ± 378916.862op/s 151045993.520op/s ± 254243.775op/s 151229009.517op/s 151742772.694op/s 152171597.084op/s 152536817.414op/s 0.99% 0.982 1.136 0.25% 26793.468op/s 1 200
credit_card/is_card_number_no_luhn/ execution_time 3.895µs 3.915µs ± 0.003µs 3.914µs ± 0.001µs 3.916µs 3.919µs 3.924µs 3.935µs 0.52% 1.196 16.228 0.08% 0.000µs 1 200
credit_card/is_card_number_no_luhn/ throughput 254139843.557op/s 255438496.741op/s ± 216671.592op/s 255461131.589op/s ± 88516.545op/s 255548081.373op/s 255643502.955op/s 255713193.031op/s 256746736.478op/s 0.50% -1.154 16.210 0.08% 15320.995op/s 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time 65.422µs 65.742µs ± 0.057µs 65.746µs ± 0.030µs 65.775µs 65.822µs 65.871µs 65.886µs 0.21% -1.185 4.957 0.09% 0.004µs 1 200
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput 15177845.663op/s 15210960.744op/s ± 13216.438op/s 15210139.258op/s ± 6882.209op/s 15217010.231op/s 15231456.708op/s 15248724.137op/s 15285376.480op/s 0.49% 1.199 5.028 0.09% 934.543op/s 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time 53.355µs 53.437µs ± 0.040µs 53.431µs ± 0.024µs 53.458µs 53.502µs 53.534µs 53.669µs 0.44% 1.209 4.829 0.07% 0.003µs 1 200
credit_card/is_card_number_no_luhn/ 378282246310005 throughput 18632732.101op/s 18713792.698op/s ± 13907.614op/s 18715590.814op/s ± 8459.561op/s 18723086.031op/s 18731948.984op/s 18739317.368op/s 18742468.120op/s 0.14% -1.197 4.755 0.07% 983.417op/s 1 200
credit_card/is_card_number_no_luhn/37828224631 execution_time 3.896µs 3.916µs ± 0.003µs 3.916µs ± 0.001µs 3.917µs 3.919µs 3.921µs 3.922µs 0.17% -1.895 15.000 0.07% 0.000µs 1 200
credit_card/is_card_number_no_luhn/37828224631 throughput 254958519.097op/s 255392797.777op/s ± 171196.835op/s 255386799.802op/s ± 96645.951op/s 255494053.376op/s 255599970.272op/s 255661387.544op/s 256693419.044op/s 0.51% 1.922 15.238 0.07% 12105.444op/s 1 200
credit_card/is_card_number_no_luhn/378282246310005 execution_time 50.142µs 50.202µs ± 0.030µs 50.198µs ± 0.019µs 50.220µs 50.261µs 50.275µs 50.287µs 0.18% 0.617 0.027 0.06% 0.002µs 1 200
credit_card/is_card_number_no_luhn/378282246310005 throughput 19885829.487op/s 19919727.244op/s ± 11737.698op/s 19921028.066op/s ± 7687.914op/s 19928477.194op/s 19936273.403op/s 19939782.077op/s 19943400.629op/s 0.11% -0.615 0.023 0.06% 829.981op/s 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time 45.461µs 45.740µs ± 0.096µs 45.748µs ± 0.062µs 45.804µs 45.887µs 45.949µs 46.003µs 0.56% -0.311 0.228 0.21% 0.007µs 1 200
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput 21737660.974op/s 21862793.998op/s ± 45807.771op/s 21858925.987op/s ± 29576.017op/s 21893265.632op/s 21940437.221op/s 21981171.627op/s 21996682.016op/s 0.63% 0.324 0.236 0.21% 3239.099op/s 1 200
credit_card/is_card_number_no_luhn/x371413321323331 execution_time 6.573µs 6.621µs ± 0.016µs 6.620µs ± 0.013µs 6.634µs 6.642µs 6.649µs 6.661µs 0.62% -0.550 -0.029 0.25% 0.001µs 1 200
credit_card/is_card_number_no_luhn/x371413321323331 throughput 150128696.634op/s 151046774.225op/s ± 371721.860op/s 151054708.035op/s ± 289980.856op/s 151237680.959op/s 151757133.924op/s 151953466.128op/s 152141589.081op/s 0.72% 0.562 -0.012 0.25% 26284.705op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
credit_card/is_card_number/ execution_time [3.915µs; 3.915µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ throughput [255402919.372op/s; 255454772.543op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 execution_time [80.130µs; 80.296µs] or [-0.104%; +0.104%] None None None
credit_card/is_card_number/ 3782-8224-6310-005 throughput [12454529.574op/s; 12480423.000op/s] or [-0.104%; +0.104%] None None None
credit_card/is_card_number/ 378282246310005 execution_time [71.727µs; 71.789µs] or [-0.043%; +0.043%] None None None
credit_card/is_card_number/ 378282246310005 throughput [13929874.145op/s; 13941851.902op/s] or [-0.043%; +0.043%] None None None
credit_card/is_card_number/37828224631 execution_time [3.915µs; 3.916µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/37828224631 throughput [255369029.384op/s; 255429112.751op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number/378282246310005 execution_time [68.687µs; 68.770µs] or [-0.060%; +0.060%] None None None
credit_card/is_card_number/378282246310005 throughput [14541472.489op/s; 14558977.556op/s] or [-0.060%; +0.060%] None None None
credit_card/is_card_number/37828224631000521389798 execution_time [45.733µs; 45.756µs] or [-0.026%; +0.026%] None None None
credit_card/is_card_number/37828224631000521389798 throughput [21854998.271op/s; 21866346.956op/s] or [-0.026%; +0.026%] None None None
credit_card/is_card_number/x371413321323331 execution_time [6.617µs; 6.622µs] or [-0.035%; +0.035%] None None None
credit_card/is_card_number/x371413321323331 throughput [151014613.123op/s; 151119641.589op/s] or [-0.035%; +0.035%] None None None
credit_card/is_card_number_no_luhn/ execution_time [3.914µs; 3.915µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ throughput [255408468.142op/s; 255468525.340op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 execution_time [65.734µs; 65.750µs] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 3782-8224-6310-005 throughput [15209129.073op/s; 15212792.415op/s] or [-0.012%; +0.012%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 execution_time [53.431µs; 53.442µs] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/ 378282246310005 throughput [18711865.236op/s; 18715720.159op/s] or [-0.010%; +0.010%] None None None
credit_card/is_card_number_no_luhn/37828224631 execution_time [3.915µs; 3.916µs] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/37828224631 throughput [255369071.542op/s; 255416524.012op/s] or [-0.009%; +0.009%] None None None
credit_card/is_card_number_no_luhn/378282246310005 execution_time [50.197µs; 50.206µs] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/378282246310005 throughput [19918100.512op/s; 19921353.976op/s] or [-0.008%; +0.008%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 execution_time [45.727µs; 45.753µs] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/37828224631000521389798 throughput [21856445.481op/s; 21869142.514op/s] or [-0.029%; +0.029%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 execution_time [6.618µs; 6.623µs] or [-0.034%; +0.034%] None None None
credit_card/is_card_number_no_luhn/x371413321323331 throughput [150995257.150op/s; 151098291.299op/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 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 185.411µs 185.886µs ± 0.368µs 185.825µs ± 0.159µs 185.987µs 186.330µs 187.307µs 188.055µs 1.20% 2.752 10.917 0.20% 0.026µs 1 200
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput 5317589.016op/s 5379667.166op/s ± 10583.831op/s 5381398.189op/s ± 4590.858op/s 5385788.218op/s 5391076.616op/s 5393026.551op/s 5393437.077op/s 0.22% -2.721 10.705 0.20% 748.390op/s 1 200
normalization/normalize_name/normalize_name/bad-name execution_time 17.807µs 17.912µs ± 0.059µs 17.912µs ± 0.037µs 17.947µs 18.005µs 18.063µs 18.153µs 1.34% 0.470 0.758 0.33% 0.004µs 1 200
normalization/normalize_name/normalize_name/bad-name throughput 55088333.448op/s 55827805.875op/s ± 184818.985op/s 55827015.070op/s ± 116265.032op/s 55954282.087op/s 56137166.212op/s 56151078.639op/s 56158724.376op/s 0.59% -0.445 0.694 0.33% 13068.676op/s 1 200
normalization/normalize_name/normalize_name/good execution_time 9.806µs 9.852µs ± 0.022µs 9.848µs ± 0.013µs 9.865µs 9.888µs 9.919µs 9.942µs 0.96% 0.797 1.440 0.23% 0.002µs 1 200
normalization/normalize_name/normalize_name/good throughput 100580088.038op/s 101501062.002op/s ± 229138.034op/s 101545999.376op/s ± 130076.821op/s 101618779.478op/s 101879338.064op/s 101915831.575op/s 101977592.742op/s 0.43% -0.778 1.389 0.23% 16202.506op/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 [185.835µs; 185.937µs] or [-0.027%; +0.027%] None None None
normalization/normalize_name/normalize_name/Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Long-.Too-Lo... throughput [5378200.348op/s; 5381133.983op/s] or [-0.027%; +0.027%] None None None
normalization/normalize_name/normalize_name/bad-name execution_time [17.904µs; 17.921µs] or [-0.046%; +0.046%] None None None
normalization/normalize_name/normalize_name/bad-name throughput [55802191.741op/s; 55853420.009op/s] or [-0.046%; +0.046%] None None None
normalization/normalize_name/normalize_name/good execution_time [9.849µs; 9.855µs] or [-0.031%; +0.031%] None None None
normalization/normalize_name/normalize_name/good throughput [101469305.674op/s; 101532818.330op/s] or [-0.031%; +0.031%] None None None

Group 10

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 48.959ms 49.268ms ± 0.691ms 49.149ms ± 0.059ms 49.217ms 49.404ms 54.402ms 54.487ms 10.86% 6.666 45.736 1.40% 0.049ms 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 [49.172ms; 49.364ms] or [-0.194%; +0.194%] None None None

Group 11

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 494.035µs 494.957µs ± 0.810µs 494.892µs ± 0.266µs 495.147µs 495.681µs 496.031µs 504.943µs 2.03% 9.442 113.671 0.16% 0.057µs 1 200
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput 1980423.296op/s 2020384.570op/s ± 3257.626op/s 2020643.568op/s ± 1084.723op/s 2021774.171op/s 2022951.043op/s 2023464.913op/s 2024146.493op/s 0.17% -9.312 111.534 0.16% 230.349op/s 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time 370.612µs 371.325µs ± 0.373µs 371.275µs ± 0.182µs 371.485µs 371.784µs 372.360µs 374.036µs 0.74% 3.680 23.876 0.10% 0.026µs 1 200
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput 2673537.270op/s 2693059.855op/s ± 2693.854op/s 2693423.211op/s ± 1320.949op/s 2694506.150op/s 2696032.130op/s 2697243.105op/s 2698240.935op/s 0.18% -3.643 23.541 0.10% 190.484op/s 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time 167.649µs 168.070µs ± 0.247µs 168.045µs ± 0.094µs 168.154µs 168.325µs 168.475µs 170.290µs 1.34% 5.306 42.273 0.15% 0.017µs 1 200
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput 5872320.993op/s 5949901.896op/s ± 8691.969op/s 5950803.462op/s ± 3324.258op/s 5953911.258op/s 5958969.227op/s 5961714.326op/s 5964837.422op/s 0.24% -5.235 41.492 0.15% 614.615op/s 1 200
normalization/normalize_service/normalize_service/[empty string] execution_time 36.601µs 36.711µs ± 0.053µs 36.703µs ± 0.037µs 36.745µs 36.806µs 36.822µs 36.835µs 0.36% 0.256 -0.657 0.14% 0.004µs 1 200
normalization/normalize_service/normalize_service/[empty string] throughput 27148033.203op/s 27239922.495op/s ± 39147.270op/s 27245954.507op/s ± 27363.721op/s 27270359.925op/s 27296448.012op/s 27317894.879op/s 27321739.861op/s 0.28% -0.250 -0.659 0.14% 2768.130op/s 1 200
normalization/normalize_service/normalize_service/test_ASCII execution_time 45.301µs 45.485µs ± 0.118µs 45.496µs ± 0.100µs 45.587µs 45.651µs 45.718µs 45.815µs 0.70% 0.088 -0.981 0.26% 0.008µs 1 200
normalization/normalize_service/normalize_service/test_ASCII throughput 21826801.420op/s 21985196.078op/s ± 56832.789op/s 21979873.763op/s ± 48444.865op/s 22037140.172op/s 22070257.329op/s 22074066.971op/s 22074378.392op/s 0.43% -0.080 -0.990 0.26% 4018.685op/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 [494.844µs; 495.069µs] or [-0.023%; +0.023%] None None None
normalization/normalize_service/normalize_service/A0000000000000000000000000000000000000000000000000... throughput [2019933.094op/s; 2020836.045op/s] or [-0.022%; +0.022%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて execution_time [371.274µs; 371.377µs] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Data🐨dog🐶 繋がっ⛰てて throughput [2692686.513op/s; 2693433.197op/s] or [-0.014%; +0.014%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters execution_time [168.036µs; 168.105µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/Test Conversion 0f Weird !@#$%^&**() Characters throughput [5948697.273op/s; 5951106.520op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/[empty string] execution_time [36.704µs; 36.718µs] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/[empty string] throughput [27234497.060op/s; 27245347.930op/s] or [-0.020%; +0.020%] None None None
normalization/normalize_service/normalize_service/test_ASCII execution_time [45.469µs; 45.502µs] or [-0.036%; +0.036%] None None None
normalization/normalize_service/normalize_service/test_ASCII throughput [21977319.600op/s; 21993072.556op/s] or [-0.036%; +0.036%] None None None

Group 12

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 161.853µs 162.667µs ± 0.347µs 162.576µs ± 0.143µs 162.760µs 163.389µs 163.984µs 164.374µs 1.11% 1.795 4.927 0.21% 0.025µs 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 [162.619µs; 162.715µs] or [-0.030%; +0.030%] None None None

Group 13

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 732.147µs 733.161µs ± 0.636µs 733.097µs ± 0.307µs 733.388µs 733.985µs 734.752µs 738.887µs 0.79% 4.008 31.655 0.09% 0.045µs 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 [733.073µs; 733.249µs] or [-0.012%; +0.012%] None None None

Group 14

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 4.192ms 4.197ms ± 0.007ms 4.196ms ± 0.001ms 4.198ms 4.200ms 4.210ms 4.296ms 2.37% 11.819 153.512 0.18% 0.001ms 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 [4.196ms; 4.198ms] or [-0.025%; +0.025%] None None None

Group 15

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 13.909ms 13.968ms ± 0.033ms 13.963ms ± 0.014ms 13.977ms 14.039ms 14.082ms 14.136ms 1.24% 2.007 5.975 0.24% 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 [13.963ms; 13.972ms] or [-0.033%; +0.033%] None None None

Group 16

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 85.900µs 86.312µs ± 0.220µs 86.288µs ± 0.041µs 86.335µs 86.452µs 86.629µs 89.176µs 3.35% 11.189 143.495 0.25% 0.016µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
sql/obfuscate_sql_string execution_time [86.281µs; 86.342µs] or [-0.035%; +0.035%] None None None

Group 17

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 5.006µs 5.068µs ± 0.049µs 5.049µs ± 0.030µs 5.086µs 5.162µs 5.165µs 5.169µs 2.37% 0.729 -0.703 0.96% 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 [5.061µs; 5.074µs] or [-0.134%; +0.134%] None None None

Group 18

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 187.226ns 190.028ns ± 2.141ns 189.547ns ± 1.452ns 191.107ns 193.744ns 196.219ns 198.281ns 4.61% 1.127 1.292 1.12% 0.151ns 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 [189.732ns; 190.325ns] or [-0.156%; +0.156%] None None None

Group 19

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz 31ed060 1771940780 PROF-13824-ProfileExporter-new-creates-TLS-config-every-time
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 2.304µs 2.383µs ± 0.019µs 2.383µs ± 0.006µs 2.392µs 2.406µs 2.415µs 2.420µs 1.56% -1.825 4.644 0.81% 0.001µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
tags/replace_trace_tags execution_time [2.380µs; 2.386µs] or [-0.112%; +0.112%] None None None

Baseline

Omitted due to size.

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dd-octo-sts bot commented Feb 20, 2026

Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 97.20 MB 97.31 MB +.11% (+113.19 KB) 🔍
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.51 MB 8.51 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.12 MB 11.12 MB +.03% (+3.84 KB) 🔍
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 112.84 MB 112.99 MB +.12% (+147.37 KB) 🔍
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.13 MB 27.17 MB +.14% (+39.00 KB) 🔍
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 76.26 KB 77.33 KB +1.39% (+1.06 KB) ⚠️
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 185.72 MB 186.05 MB +.17% (+336.00 KB) 🔍
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 912.24 MB 917.44 MB +.57% (+5.20 MB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.93 MB 9.94 MB +.12% (+12.50 KB) 🔍
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 76.26 KB 77.33 KB +1.39% (+1.06 KB) ⚠️
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 24.75 MB 24.78 MB +.12% (+32.00 KB) 🔍
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.40 MB 51.47 MB +.13% (+70.07 KB) 🔍
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 22.95 MB 22.99 MB +.15% (+36.00 KB) 🔍
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 77.44 KB 78.53 KB +1.40% (+1.08 KB) ⚠️
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.07 MB 190.39 MB +.16% (+328.00 KB) 🔍
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 896.28 MB 901.10 MB +.53% (+4.81 MB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 7.53 MB 7.54 MB +.14% (+11.00 KB) 🔍
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 77.44 KB 78.53 KB +1.40% (+1.08 KB) ⚠️
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 26.50 MB 26.53 MB +.11% (+32.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 47.03 MB 47.10 MB +.14% (+68.83 KB) 🔍
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 85.25 MB 85.35 MB +.11% (+100.63 KB) 🔍
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 10.04 MB 10.06 MB +.15% (+16.00 KB) 🔍
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 105.88 MB 105.99 MB +.10% (+118.97 KB) 🔍
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.79 MB 11.81 MB +.15% (+18.76 KB) 🔍

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datadog-datadog-prod-us1-2 bot commented Feb 20, 2026

✅ Tests

🎉 All green!

❄️ No new flaky tests detected
🧪 All tests passed

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: 31ed060 | Docs | Datadog PR Page | Was this helpful? Give us feedback!

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codecov-commenter commented Feb 20, 2026

Codecov Report

❌ Patch coverage is 49.27536% with 35 lines in your changes missing coverage. Please review.
✅ Project coverage is 71.04%. Comparing base (5bb62b1) to head (31ed060).

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #1619      +/-   ##
==========================================
- Coverage   71.07%   71.04%   -0.03%     
==========================================
  Files         423      424       +1     
  Lines       62491    62558      +67     
==========================================
+ Hits        44413    44445      +32     
- Misses      18078    18113      +35     
Components Coverage Δ
libdd-crashtracker 63.26% <ø> (ø)
libdd-crashtracker-ffi 17.80% <ø> (ø)
libdd-alloc 98.77% <ø> (ø)
libdd-data-pipeline 87.27% <ø> (ø)
libdd-data-pipeline-ffi 71.51% <ø> (ø)
libdd-common 79.73% <ø> (ø)
libdd-common-ffi 73.40% <ø> (ø)
libdd-telemetry 62.48% <ø> (+0.03%) ⬆️
libdd-telemetry-ffi 16.75% <ø> (ø)
libdd-dogstatsd-client 82.64% <ø> (ø)
datadog-ipc 80.74% <ø> (ø)
libdd-profiling 81.31% <49.27%> (-0.25%) ⬇️
libdd-profiling-ffi 62.38% <2.77%> (-1.28%) ⬇️
datadog-sidecar 32.62% <ø> (ø)
datdog-sidecar-ffi 8.81% <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 88.97% <ø> (ø)
datadog-tracer-flare 86.86% <ø> (ø)
libdd-log 74.69% <ø> (ø)
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@gyuheon0h gyuheon0h changed the title feat(profiling): TlsConfig for reusable TLS init feat(profiling)!: TlsConfig for reusable TLS init Feb 24, 2026
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3 participants