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test: skip/shorten slow miri jobs - #2331

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levi/slow-miri
Aug 10, 2026
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test: skip/shorten slow miri jobs#2331
gh-worker-dd-mergequeue-cf854d[bot] merged 1 commit into
mainfrom
levi/slow-miri

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@morrisonlevi

@morrisonlevi morrisonlevi commented Aug 7, 2026

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What does this PR do?

This either skips or shortens some miri jobs.

Motivation

These specific jobs were summarized as SLOW, meaning they individually took over 1 minute.

Additional Notes

Most of them exercise no direct unsafe miri code. Then one I shortened does, which is why I shortened it instead of skipping it.

How to test the change?

As usual, e.g. to run just the affected crates:

  • cargo test -p libdd-profiling -p libdd-ffe -p libdd-crashtracker -p datadog-live-debugger
  • cargo +nightly miri nextest run -p libdd-profiling -p libdd-ffe -p libdd-crashtracker -p datadog-live-debugger on Linux (portable atomic does not seem to work on macOS due to missing atomic for 128 bit types).

@morrisonlevi
morrisonlevi requested review from a team as code owners August 7, 2026 12:35
@morrisonlevi
morrisonlevi requested review from leoromanovsky and typotter and removed request for a team August 7, 2026 12:35
@datadog-datadog-us1-prod

datadog-datadog-us1-prod Bot commented Aug 7, 2026 •
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Tests

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 75.89% (-0.02%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: dd7136d | Docs | Datadog PR Page | Give us feedback!

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pr-commenter Bot commented Aug 7, 2026 •
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Benchmarks

Comparison

Benchmark execution time: 2026-08-07 12:45:21

Comparing candidate commit dd7136d in PR branch levi/slow-miri with baseline commit ea75b04 in branch main.

Found 0 performance improvements and 1 performance regressions! Performance is the same for 12 metrics, 0 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

scenario:profile_add_sample_timestamped_x1000

  • 🟥 execution_time [+204.371µs; +207.982µs] or [+5.075%; +5.164%]

Benchmark execution time: 2026-08-07 12:25:33

Comparing candidate commit dd7136d in PR branch levi/slow-miri with baseline commit ea75b04 in branch main.

Found 0 performance improvements and 0 performance regressions! Performance is the same for 14 metrics, 0 unstable metrics.

Explanation

This is an A/B test comparing a candidate commit's performance against that of a baseline commit. Performance changes are noted in the tables below as:

  • 🟩 = significantly better candidate vs. baseline
  • 🟥 = significantly worse candidate vs. baseline

We compute a confidence interval (CI) over the relative difference of means between metrics from the candidate and baseline commits, considering the baseline as the reference.

If the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD), the change is considered significant.

Feel free to reach out to #apm-benchmarking-platform on Slack if you have any questions.

More details about the CI and significant changes

You can imagine this CI as a range of values that is likely to contain the true difference of means between the candidate and baseline commits.

CIs of the difference of means are often centered around 0%, because often changes are not that big:

---------------------------------(------|---^--------)-------------------------------->
                              -0.6%    0%  0.3%     +1.2%
                                 |          |        |
         lower bound of the CI --'          |        |
sample mean (center of the CI) -------------'        |
         upper bound of the CI ----------------------'

As described above, a change is considered significant if the CI is entirely outside the configured SIGNIFICANT_IMPACT_THRESHOLD (or the deprecated UNCONFIDENCE_THRESHOLD).

For instance, for an execution time metric, this confidence interval indicates a significantly worse performance:

----------------------------------------|---------|---(---------^---------)---------->
                                       0%        1%  1.3%      2.2%      3.1%
                                                  |   |         |         |
       significant impact threshold --------------'   |         |         |
                      lower bound of CI --------------'         |         |
       sample mean (center of the CI) --------------------------'         |
                      upper bound of CI ----------------------------------'

Candidate

Candidate benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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 125.783µs 127.428µs ± 0.447µs 127.413µs ± 0.146µs 127.547µs 127.955µs 129.521µs 130.017µs 2.04% 1.941 11.606 0.35% 0.032µs 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 [127.366µs; 127.490µs] or [-0.049%; +0.049%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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 4.211ms 4.217ms ± 0.003ms 4.217ms ± 0.002ms 4.218ms 4.221ms 4.224ms 4.238ms 0.51% 1.989 11.890 0.07% 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 [4.216ms; 4.217ms] or [-0.010%; +0.010%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_serialize_compressed_pprof_timestamped_x1000 execution_time 909.784µs 916.202µs ± 2.679µs 915.625µs ± 1.101µs 917.091µs 921.456µs 923.410µs 925.585µs 1.09% 0.562 1.221 0.29% 0.189µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000 execution_time [915.830µs; 916.573µs] or [-0.041%; +0.041%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profiles_dictionary/profile_string_inserts/threads/1 execution_time 398.098µs 400.417µs ± 1.497µs 400.419µs ± 1.312µs 401.908µs 402.084µs 402.100µs 402.105µs 0.42% -0.129 -1.509 0.35% 0.473µs 1 10
profiles_dictionary/profile_string_inserts/threads/1 throughput 2546601.459op/s 2557364.123op/s ± 9567.190op/s 2557324.194op/s ± 8400.628op/s 2564830.073op/s 2569667.399op/s 2571716.124op/s 2572228.306op/s 0.58% 0.134 -1.504 0.35% 3025.411op/s 1 10
profiles_dictionary/profile_string_inserts/threads/16 execution_time 2.015ms 2.026ms ± 0.009ms 2.024ms ± 0.007ms 2.034ms 2.038ms 2.039ms 2.039ms 0.74% 0.368 -1.484 0.44% 0.003ms 1 10
profiles_dictionary/profile_string_inserts/threads/16 throughput 8036501.093op/s 8088862.299op/s ± 37806.632op/s 8096304.060op/s ± 26191.027op/s 8121334.159op/s 8128007.804op/s 8131248.478op/s 8132058.647op/s 0.44% -0.363 -1.486 0.44% 11955.507op/s 1 10
profiles_dictionary/profile_string_inserts/threads/2 execution_time 672.866µs 674.263µs ± 1.057µs 674.076µs ± 0.799µs 675.327µs 675.599µs 675.626µs 675.633µs 0.23% 0.166 -1.547 0.15% 0.334µs 1 10
profiles_dictionary/profile_string_inserts/threads/2 throughput 3031233.634op/s 3037398.206op/s ± 4758.670op/s 3038231.569op/s ± 3599.883op/s 3041361.186op/s 3042913.923op/s 3043538.501op/s 3043694.645op/s 0.18% -0.164 -1.547 0.15% 1504.823op/s 1 10
profiles_dictionary/profile_string_inserts/threads/4 execution_time 841.057µs 843.770µs ± 3.012µs 843.329µs ± 1.219µs 844.081µs 848.518µs 850.976µs 851.591µs 0.98% 1.865 2.766 0.34% 0.953µs 1 10
profiles_dictionary/profile_string_inserts/threads/4 throughput 4809823.132op/s 4854458.210op/s ± 17223.222op/s 4856939.891op/s ± 7014.980op/s 4864716.336op/s 4869228.129op/s 4869896.294op/s 4870063.335op/s 0.27% -1.852 2.731 0.34% 5446.461op/s 1 10
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profiles_dictionary/profile_string_inserts/threads/1 execution_time [399.489µs; 401.345µs] or [-0.232%; +0.232%] None None None
profiles_dictionary/profile_string_inserts/threads/1 throughput [2551434.426op/s; 2563293.820op/s] or [-0.232%; +0.232%] None None None
profiles_dictionary/profile_string_inserts/threads/16 execution_time [2.020ms; 2.031ms] or [-0.290%; +0.290%] None None None
profiles_dictionary/profile_string_inserts/threads/16 throughput [8065429.936op/s; 8112294.662op/s] or [-0.290%; +0.290%] None None None
profiles_dictionary/profile_string_inserts/threads/2 execution_time [673.608µs; 674.918µs] or [-0.097%; +0.097%] None None None
profiles_dictionary/profile_string_inserts/threads/2 throughput [3034448.807op/s; 3040347.606op/s] or [-0.097%; +0.097%] None None None
profiles_dictionary/profile_string_inserts/threads/4 execution_time [841.903µs; 845.637µs] or [-0.221%; +0.221%] None None None
profiles_dictionary/profile_string_inserts/threads/4 throughput [4843783.342op/s; 4865133.078op/s] or [-0.220%; +0.220%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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/2644 execution_time 5.450ms 5.499ms ± 0.022ms 5.498ms ± 0.016ms 5.513ms 5.542ms 5.555ms 5.572ms 1.35% 0.595 0.288 0.40% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2644 execution_time [5.496ms; 5.502ms] or [-0.056%; +0.056%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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_timestamped_x1000 execution_time 4.228ms 4.233ms ± 0.010ms 4.232ms ± 0.001ms 4.234ms 4.237ms 4.244ms 4.364ms 3.11% 11.630 147.856 0.23% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_timestamped_x1000 execution_time [4.232ms; 4.235ms] or [-0.033%; +0.033%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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 702.633µs 704.220µs ± 0.756µs 704.210µs ± 0.459µs 704.609µs 705.231µs 705.977µs 709.486µs 0.75% 1.813 10.922 0.11% 0.053µs 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 [704.115µs; 704.324µs] or [-0.015%; +0.015%] None None None

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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 157.212ns 160.822ns ± 3.011ns 160.025ns ± 1.822ns 162.334ns 166.803ns 169.321ns 172.785ns 7.97% 1.187 1.183 1.87% 0.213ns 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 [160.405ns; 161.239ns] or [-0.259%; +0.259%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields execution_time 21.579ms 21.727ms ± 0.061ms 21.722ms ± 0.041ms 21.765ms 21.834ms 21.877ms 21.885ms 0.75% 0.251 -0.237 0.28% 0.004ms 1 200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput 114234.566op/s 115067.542op/s ± 325.254op/s 115090.261op/s ± 219.188op/s 115296.044op/s 115588.035op/s 115707.259op/s 115853.317op/s 0.66% -0.237 -0.246 0.28% 22.999op/s 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time 95.863ms 96.689ms ± 0.348ms 96.707ms ± 0.199ms 96.888ms 97.159ms 97.769ms 98.672ms 2.03% 0.941 4.991 0.36% 0.025ms 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput 10134.540op/s 10342.613op/s ± 37.061op/s 10340.507op/s ± 21.371op/s 10365.857op/s 10399.413op/s 10426.022op/s 10431.512op/s 0.88% -0.877 4.655 0.36% 2.621op/s 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time 594.940µs 597.452µs ± 0.988µs 597.425µs ± 0.544µs 597.982µs 599.022µs 599.795µs 603.787µs 1.06% 1.256 7.454 0.17% 0.070µs 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput 165621.367op/s 167377.787op/s ± 276.351op/s 167385.062op/s ± 152.367op/s 167534.228op/s 167794.170op/s 167945.769op/s 168084.225op/s 0.42% -1.217 7.195 0.16% 19.541op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields execution_time [21.718ms; 21.735ms] or [-0.039%; +0.039%] None None None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput [115022.465op/s; 115112.619op/s] or [-0.039%; +0.039%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time [96.640ms; 96.737ms] or [-0.050%; +0.050%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput [10337.477op/s; 10347.749op/s] or [-0.050%; +0.050%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time [597.315µs; 597.589µs] or [-0.023%; +0.023%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput [167339.488op/s; 167416.087op/s] or [-0.023%; +0.023%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
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 124.443µs 127.331µs ± 5.173µs 126.311µs ± 0.607µs 126.981µs 131.343µs 148.041µs 182.340µs 44.36% 7.521 68.538 4.05% 0.366µs 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 [126.614µs; 128.048µs] or [-0.563%; +0.563%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz dd7136d 1786104879 levi/slow-miri
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields execution_time 5.347ms 5.365ms ± 0.020ms 5.364ms ± 0.005ms 5.369ms 5.376ms 5.382ms 5.626ms 4.89% 11.314 146.077 0.37% 0.001ms 1 200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput 444344.062op/s 465991.115op/s ± 1662.581op/s 466085.824op/s ± 429.826op/s 466553.568op/s 467265.866op/s 467444.679op/s 467570.830op/s 0.32% -11.089 142.203 0.36% 117.562op/s 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time 7.927ms 7.940ms ± 0.007ms 7.940ms ± 0.004ms 7.944ms 7.949ms 7.974ms 7.978ms 0.48% 2.001 8.976 0.09% 0.000ms 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput 125343.996op/s 125942.269op/s ± 110.171op/s 125951.281op/s ± 60.098op/s 126003.815op/s 126089.318op/s 126139.645op/s 126157.145op/s 0.16% -1.983 8.867 0.09% 7.790op/s 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time 180.598µs 184.877µs ± 38.877µs 182.067µs ± 0.176µs 182.317µs 182.815µs 183.084µs 731.914µs 302.00% 14.034 194.975 20.98% 2.749µs 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput 136627.980op/s 547002.670op/s ± 29181.412op/s 549248.601op/s ± 530.317op/s 549707.506op/s 550194.365op/s 550462.551op/s 553715.681op/s 0.81% -14.010 194.525 5.32% 2063.437op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields execution_time [5.362ms; 5.368ms] or [-0.051%; +0.051%] None None None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput [465760.697op/s; 466221.532op/s] or [-0.049%; +0.049%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time [7.939ms; 7.941ms] or [-0.012%; +0.012%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput [125927.000op/s; 125957.537op/s] or [-0.012%; +0.012%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time [179.489µs; 190.265µs] or [-2.914%; +2.914%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput [542958.407op/s; 551046.934op/s] or [-0.739%; +0.739%] None None None

Baseline

Baseline benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
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 124.808µs 125.776µs ± 0.622µs 125.912µs ± 0.350µs 126.117µs 126.510µs 127.672µs 130.163µs 3.38% 1.812 11.294 0.49% 0.044µs 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 [125.690µs; 125.862µs] or [-0.069%; +0.069%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
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 4.064ms 4.069ms ± 0.003ms 4.069ms ± 0.001ms 4.071ms 4.073ms 4.074ms 4.091ms 0.54% 3.081 21.878 0.06% 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 [4.069ms; 4.070ms] or [-0.009%; +0.009%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profile_serialize_compressed_pprof_timestamped_x1000 execution_time 919.358µs 925.577µs ± 3.999µs 925.067µs ± 1.102µs 926.270µs 929.452µs 932.715µs 970.635µs 4.93% 7.279 78.997 0.43% 0.283µs 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_serialize_compressed_pprof_timestamped_x1000 execution_time [925.023µs; 926.131µs] or [-0.060%; +0.060%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
profiles_dictionary/profile_string_inserts/threads/1 execution_time 399.295µs 401.069µs ± 0.902µs 401.340µs ± 0.529µs 401.747µs 402.005µs 402.096µs 402.119µs 0.19% -0.706 -0.588 0.21% 0.285µs 1 10
profiles_dictionary/profile_string_inserts/threads/1 throughput 2546509.881op/s 2553190.859op/s ± 5750.547op/s 2551454.163op/s ± 3363.239op/s 2556764.417op/s 2562127.086op/s 2564043.937op/s 2564523.150op/s 0.51% 0.712 -0.578 0.21% 1818.483op/s 1 10
profiles_dictionary/profile_string_inserts/threads/16 execution_time 2.004ms 2.010ms ± 0.007ms 2.008ms ± 0.003ms 2.010ms 2.022ms 2.022ms 2.022ms 0.72% 1.170 -0.189 0.31% 0.002ms 1 10
profiles_dictionary/profile_string_inserts/threads/16 throughput 8101008.701op/s 8150924.889op/s ± 26759.420op/s 8159067.732op/s ± 11284.462op/s 8169612.180op/s 8173346.154op/s 8173982.711op/s 8174141.850op/s 0.18% -1.166 -0.195 0.31% 8462.072op/s 1 10
profiles_dictionary/profile_string_inserts/threads/2 execution_time 672.025µs 675.563µs ± 5.400µs 674.117µs ± 1.845µs 675.448µs 684.627µs 688.800µs 689.843µs 2.33% 2.056 3.126 0.76% 1.708µs 1 10
profiles_dictionary/profile_string_inserts/threads/2 throughput 2968790.596op/s 3031717.307op/s ± 23864.314op/s 3038048.750op/s ± 8338.995op/s 3046616.148op/s 3047507.347op/s 3047507.540op/s 3047507.589op/s 0.31% -2.035 3.061 0.75% 7546.559op/s 1 10
profiles_dictionary/profile_string_inserts/threads/4 execution_time 815.128µs 834.810µs ± 7.476µs 837.084µs ± 1.842µs 838.369µs 840.720µs 842.214µs 842.587µs 0.66% -1.963 3.099 0.85% 2.364µs 1 10
profiles_dictionary/profile_string_inserts/threads/4 throughput 4861216.486op/s 4906863.701op/s ± 44694.128op/s 4893177.439op/s ± 10779.348op/s 4910951.212op/s 4977678.903op/s 5015516.508op/s 5024975.909op/s 2.69% 1.994 3.178 0.86% 14133.524op/s 1 10
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profiles_dictionary/profile_string_inserts/threads/1 execution_time [400.510µs; 401.628µs] or [-0.139%; +0.139%] None None None
profiles_dictionary/profile_string_inserts/threads/1 throughput [2549626.698op/s; 2556755.019op/s] or [-0.140%; +0.140%] None None None
profiles_dictionary/profile_string_inserts/threads/16 execution_time [2.006ms; 2.014ms] or [-0.204%; +0.204%] None None None
profiles_dictionary/profile_string_inserts/threads/16 throughput [8134339.533op/s; 8167510.245op/s] or [-0.203%; +0.203%] None None None
profiles_dictionary/profile_string_inserts/threads/2 execution_time [672.216µs; 678.910µs] or [-0.495%; +0.495%] None None None
profiles_dictionary/profile_string_inserts/threads/2 throughput [3016926.324op/s; 3046508.291op/s] or [-0.488%; +0.488%] None None None
profiles_dictionary/profile_string_inserts/threads/4 execution_time [830.177µs; 839.444µs] or [-0.555%; +0.555%] None None None
profiles_dictionary/profile_string_inserts/threads/4 throughput [4879162.503op/s; 4934564.899op/s] or [-0.565%; +0.565%] None None None

Group 5

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
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/2645 execution_time 5.457ms 5.518ms ± 0.034ms 5.511ms ± 0.021ms 5.536ms 5.584ms 5.603ms 5.611ms 1.81% 0.749 -0.101 0.61% 0.002ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
receiver_entry_point/report/2645 execution_time [5.514ms; 5.523ms] or [-0.085%; +0.085%] None None None

Group 6

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
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_timestamped_x1000 execution_time 4.023ms 4.027ms ± 0.008ms 4.026ms ± 0.001ms 4.028ms 4.031ms 4.035ms 4.138ms 2.78% 11.740 150.158 0.21% 0.001ms 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
profile_add_sample_timestamped_x1000 execution_time [4.026ms; 4.028ms] or [-0.029%; +0.029%] None None None

Group 7

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz ea75b04 1786079201 main
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 691.879µs 693.829µs ± 0.617µs 693.810µs ± 0.388µs 694.217µs 694.837µs 695.387µs 696.697µs 0.42% 0.525 2.029 0.09% 0.044µs 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 [693.744µs; 693.915µs] or [-0.012%; +0.012%] None None None

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz ea75b04 1786079201 main
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 157.022ns 161.393ns ± 3.490ns 160.654ns ± 1.887ns 162.942ns 168.218ns 172.043ns 176.555ns 9.90% 1.310 1.860 2.16% 0.247ns 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 [160.909ns; 161.876ns] or [-0.300%; +0.300%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz ea75b04 1786079201 main
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
flagevaluation_evp/payloads/scale/2500flags_500users_20fields execution_time 21.418ms 21.494ms ± 0.032ms 21.494ms ± 0.024ms 21.519ms 21.544ms 21.561ms 21.585ms 0.42% -0.008 -0.548 0.15% 0.002ms 1 200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput 115822.495op/s 116310.425op/s ± 175.471op/s 116310.257op/s ± 128.620op/s 116433.791op/s 116602.889op/s 116645.224op/s 116723.422op/s 0.36% 0.014 -0.550 0.15% 12.408op/s 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time 95.483ms 96.072ms ± 0.380ms 96.021ms ± 0.208ms 96.261ms 96.546ms 96.650ms 99.567ms 3.69% 3.906 34.058 0.39% 0.027ms 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput 10043.439op/s 10409.038op/s ± 40.539op/s 10414.388op/s ± 22.553op/s 10431.619op/s 10466.447op/s 10471.004op/s 10473.080op/s 0.56% -3.667 31.251 0.39% 2.867op/s 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time 590.707µs 591.894µs ± 0.537µs 591.835µs ± 0.353µs 592.263µs 592.776µs 593.173µs 593.351µs 0.26% 0.350 -0.493 0.09% 0.038µs 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput 168534.349op/s 168949.186op/s ± 153.367op/s 168966.030op/s ± 100.688op/s 169059.423op/s 169165.584op/s 169228.939op/s 169288.687op/s 0.19% -0.346 -0.496 0.09% 10.845op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
flagevaluation_evp/payloads/scale/2500flags_500users_20fields execution_time [21.490ms; 21.499ms] or [-0.021%; +0.021%] None None None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput [116286.107op/s; 116334.744op/s] or [-0.021%; +0.021%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time [96.019ms; 96.124ms] or [-0.055%; +0.055%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput [10403.420op/s; 10414.656op/s] or [-0.054%; +0.054%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time [591.820µs; 591.969µs] or [-0.013%; +0.013%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput [168927.930op/s; 168970.441op/s] or [-0.013%; +0.013%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz ea75b04 1786079201 main
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 123.751µs 126.382µs ± 3.903µs 125.695µs ± 0.627µs 126.361µs 129.466µs 139.646µs 169.265µs 34.66% 7.955 76.829 3.08% 0.276µs 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 [125.841µs; 126.923µs] or [-0.428%; +0.428%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz ea75b04 1786079201 main
scenario metric min mean ± sd median ± mad p75 p95 p99 max peak_to_median_ratio skewness kurtosis cv sem runs sample_size
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields execution_time 5.349ms 5.366ms ± 0.021ms 5.364ms ± 0.004ms 5.369ms 5.378ms 5.382ms 5.653ms 5.39% 12.084 159.313 0.40% 0.002ms 1 200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput 442232.652op/s 465882.239op/s ± 1775.479op/s 466056.065op/s ± 351.882op/s 466393.251op/s 466813.873op/s 467021.490op/s 467355.953op/s 0.28% -11.899 156.016 0.38% 125.545op/s 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time 7.928ms 7.965ms ± 0.013ms 7.965ms ± 0.008ms 7.973ms 7.984ms 7.996ms 8.018ms 0.66% -0.103 1.138 0.17% 0.001ms 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput 124721.627op/s 125557.089op/s ± 210.094op/s 125549.930op/s ± 131.429op/s 125680.421op/s 125955.020op/s 126090.883op/s 126134.708op/s 0.47% 0.119 1.121 0.17% 14.856op/s 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time 180.054µs 185.725µs ± 39.284µs 182.946µs ± 0.142µs 183.097µs 183.498µs 184.283µs 738.471µs 303.66% 14.033 194.946 21.10% 2.778µs 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput 135414.932op/s 544551.873op/s ± 29111.630op/s 546609.950op/s ± 424.807op/s 547004.515op/s 547711.102op/s 554361.497op/s 555388.553op/s 1.61% -13.983 194.030 5.33% 2058.503op/s 1 200
scenario metric 95% CI mean Shapiro-Wilk pvalue Ljung-Box pvalue (lag=1) Dip test pvalue
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields execution_time [5.363ms; 5.369ms] or [-0.055%; +0.055%] None None None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput [465636.175op/s; 466128.304op/s] or [-0.053%; +0.053%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time [7.963ms; 7.966ms] or [-0.023%; +0.023%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput [125527.972op/s; 125586.206op/s] or [-0.023%; +0.023%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time [180.281µs; 191.170µs] or [-2.931%; +2.931%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput [540517.282op/s; 548586.465op/s] or [-0.741%; +0.741%] None None None

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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 89.19 MB 89.19 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.20 MB 8.20 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 100.37 MB 100.37 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.06 MB 11.06 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 26.63 MB 26.63 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 94.56 KB 94.56 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 191.41 MB 191.42 MB +0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 1001.70 MB 1001.70 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 8.71 MB 8.71 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 94.56 KB 94.56 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 25.62 MB 25.62 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 51.01 MB 51.01 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.22 MB 23.22 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 96.04 KB 96.04 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 196.34 MB 196.33 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 990.83 MB 990.83 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.73 MB 6.73 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 96.04 KB 96.04 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 27.55 MB 27.55 MB --.02% (-8.00 KB) 💪
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 48.56 MB 48.56 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 79.47 MB 79.47 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.13 MB 9.13 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 95.12 MB 95.12 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.14 MB 11.14 MB 0% (0 B) 👌

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/merge

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2026-08-10 14:08:44 UTC ℹ️ Start processing command /merge

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The expected merge time in main is approximately 53m (p90).

2026-08-10 15:28:32 UTC ℹ️ MergeQueue: This merge request was merged

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gh-worker-dd-mergequeue-cf854d Bot merged commit 52b616d into main Aug 10, 2026
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gh-worker-dd-mergequeue-cf854d Bot deleted the levi/slow-miri branch August 10, 2026 15:28
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@dd-octo-sts @github-actions @hoolioh
chore(release): proposal for libdd-crashtracker, libdd-gotter (#2364)
09ecac6 
# Release proposal for libdd-crashtracker, libdd-gotter and their
dependencies

This PR contains version bumps based on public API changes and commits
since last release.

## libdd-gotter
**Next version:** `1.0.0`
**Semver bump:** `major`
**Tag:** `libdd-gotter-v1.0.0`

**Warning:** this is an initial release. Please verify that the version
and commits included are correct.


## libdd-crashtracker
**Next version:** `2.0.0`
**Semver bump:** `major`
**Tag:** `libdd-crashtracker-v2.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^1.0.0 → ^5.2.0
- `libdd-telemetry`: ^1.0.0 → ^7.0.0

### Commits

- feat(crashtracking)!: retrieve c assert message for linux when
`__assert_fail` is dynamically loaded (#2268)
- test: skip/shorten slow miri jobs (#2331)
- feat(crashtracking): send debug log when no data is received at all
(#2321)
- fix(crashtracking): check fields and exclude uuid for `has_data`
(#2322)
- refactor: migrate to workspace dependencies, phase 4 (#2296)
- refactor: migrate to workspace dependencies, phase 3 (#2283)
- chore: moving to workspace-level dependencies, phase 2 (#2270)
- refactor: consolidate core dependencies at workspace level (phase 1)
(#2253)
- test: stabilize flaky tests (#2256)
- feat(telemetry)!: make telemetry worker wasm-compatible for the
TraceExporter (#2172)
- chore(crashtracking): harden multi thread ptrace collection (#2216)
- fix(sidecar): don't double-encode file:// telemetry endpoints (#2230)
- fix: new clippy lints (#2219)
- refactor(sidecar)!: Avoid a dedicated socket for crashtracker (#2179)
- refactor(clippy): prefer core and alloc imports (#2196)
- refactor(libdd-telemetry)!: avoid leaking libdd-common types in the
public API (#2152)
- feat(crashtracking): collect all native stacks for unhandled exception
and also crashing thread (#2155)
- fix(crashtracking): sanitize type and message for unhandled exceptions
(#2148)
- fix(crashtracking): multi thread collection centos flakes harden
(#2113)
- chore(crashtracking)!: remove frame count experimental field (#2114)
- fix(crashtracking): authenticate peer granted socket ptrace access
(#2098)
- feat(crashtracking)!: add experimental frame count field (#2099)
- fix(crashtracker): increase test_waitall_nohang timeout to 500ms
(#2097)
- fix(crashtracker): support socket based receiver for all thread
collection (#2080)
- fix(crashtracker): set failed thread stack collection as incomplete
empty stack (#2079)
- fix(crashtracking)!: flatten all threads object into a list of
`ThreadData` (#2054)
- refactor(crashtracker): update imports to linux only (#2036)
- fix(crashtracker): move preload logger marking after recursive guard
(#2023)
- fix(libdd-telemetry): restore previous Cargo.toml version (#1993)
- feat!: integrate obfuscation to the stats exporter [APMSP-2764]
(#1819)
- chore(crashtracking)!: create errorsintake crash ping directly from
telemetry (#1963)
- feat(telemetry)!: include dependencies and integrations in
app-extended-heartbeat (#1962)
- feat(crashtracking)!: collect all threads (#1878)
- chore(crashtracking): bump libdatadog-libunwind to v1.0.2 (#1942)
- chore(crashtracking): default errors intake crash report upload to be
on (#1902)
- chore(libdd-crashtracker): remove path reference for
libdd-libunwind-sys (#1877)
- fix(crashtracking): handle new lines in client submitted exception
message (#1836)
- fix(crashtracker): Fix bin_tests in gitlab (#1832)
- feat(crashtracking)!: improve parity between errors intake payload and
telemetry intake payload (#1823)
- feat(crashtracking)!: emit ucontext registers as structured data
(#1787)
- fix(ci): use single threaded for all tests that mutate signal state
and use non-fatal signal (#1812)
- fix(crashtracking): fix SIGCHLD signal guarding while in CT signal
handler (#1807)
- fix(ci): use single threaded to avoid race conditions for sa guard
tests (#1800)
- fix(crashtracking): guard sigchld and sigpipe during crashtracker
signal handler execution (#1771)
- chore(crashtracking): preserve errno for crashtracker (#1767)
- chore(crashtracker): use weaker mem ordering for OP_COUNTERS (#1744)
- chore(crashtracking): rename target triple to runtime platform (#1747)
- chore(ci): give libdd-libunwind-sys its own version (#1743)
- chore(crashtracking): add tag for target triple (#1741)
- refactor(libdd-crashtracker)!: avoid leaking Endpoint through the
public API (#1705)
- chore(cargo): bump to 29.0.0 (#1702)
- fix(crashtracking): use libunwind to unwind frames (#1663)
- chore(deps): bump blazesym to 0.2.3 and blazesym-c to 0.1.7 (#1654)
- chore(ci): fix crashtracker receiver binary rpath setting (#1652)
- chore(crashtracking): emit a best effort stacktrace for Mac (#1645)
- chore(crashtracker): use default-features=false for aws-lc-sys (#1625)
- feat(crashtracking): report unhandled exceptions (#1596)
- refactor(ddcommon)!: remove direct dependency on hyper client
everywhere in common (#1604)
- feat(crashtracking): include `Kind` in crash ping and clarify
requirements (#1595)
- fix(crashtracking): add process_tags to application field (#1576)
- ci: update nightly in CI to 2026-02-08 (#1539)
- fix(telemetry)!: fix logs payload format [APMSP-2590] (#1498)
- chore(crashtracking): bump os_info crate to 3.14 (#1507)
- Don't bail (#1494)
- feat(crashtracking)!: emit crashing thread name in crash report for
linux crashes (#1485)
- test(crashtracking): add minimal LD preload test for crashtracker
collector (#1428)
- chore: release libddcommon-v1.1.0 (#1456)
- chore: prepare libdd-telemetry-v2.0.0 (#1457)
- [crashtracker] Retrieve panic message when crashing (#1361)
- fix(sidecar): AWS lambda also can return EACCESS for shm_open (#1446)
- chore(crashtracking): add `is_crash_debug` tag to crashtracker
receiver debug logs (#1445)
- [crashtracker] Log errors in crashtracker receiver (#1395)
- chore: add changelog for every published crate (#1396)
- Fix CI (#1389)
- [crashtracker] Set OS info in the crash info builder when receiving
report (#1388)
- crashtracker: support cxx bindings for crashinfo (#1379)


[APMSP-2764]:
https://datadoghq.atlassian.net/browse/APMSP-2764?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: hoolioh <107922352+hoolioh@users.noreply.github.com>
@dd-octo-sts dd-octo-sts Bot mentioned this pull request Sep 8, 2026
Merged
hoolioh added a commit that referenced this pull request Sep 8, 2026
@dd-octo-sts @github-actions @hoolioh
chore(release): proposal for libdd-capabilities-impl, libdd-crashtrac…
7ffbbcb 
…ker, libdd-data-pipeline, li... (#2482)

# Release proposal for libdd-capabilities-impl, libdd-crashtracker,
libdd-data-pipeline, libdd-ddsketch, libdd-ffe, libdd-http-client,
libdd-ipc, libdd-library-config, libdd-live-debugger,
libdd-otel-thread-ctx, libdd-remote-config, libdd-shared-runtime,
libdd-telemetry, libdd-trace-utils, libdd-tracer-flare and their
dependencies

This PR contains version bumps based on public API changes and commits
since last release.


### ⚠️ Crates left out of this proposal affected by its major
bumps

These publishable workspace crates are not part of this release but
their dependency requirement was rewritten on this branch while their
published version still requires the old major. If they are a dependency
on your deployment not including them in the release could result in
duplicate packages or symbol incompatibility.

- `libdd-common` `5.2.0` → `6.0.0` affects: `libdd-profiling`,
`libdd-sampling`
- `libdd-trace-utils` `11.0.0` → `12.0.0` affects: `libdd-sampling`

## libdd-capabilities
**Next version:** `3.0.1`
**Semver bump:** `patch`
**Tag:** `libdd-capabilities-v3.0.1`

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- feat: do not entirely disable connection pooling for periodic
connections (#2440)

## libdd-common
**Next version:** `6.0.0`
**Semver bump:** `major`
**Tag:** `libdd-common-v6.0.0`

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- feat: do not entirely disable connection pooling for periodic
connections (#2440)
- feat(data-pipeline)!: add agentless stats export (#2309)
- feat(data-pipeline): add runtime-independent agentless sending (#2389)
- feat(common)!: add HTTPS_PROXY support for hyper_backend (#2421)

## libdd-ipc-macros
**Next version:** `1.0.1`
**Semver bump:** `patch`
**Tag:** `libdd-ipc-macros-v1.0.1`

### Commits

- feat(sidecar)!: support appsec helper-rust integration with sidecar
(#2310)

## libdd-otel-thread-ctx
**Next version:** `1.1.0`
**Semver bump:** `minor`
**Tag:** `libdd-otel-thread-ctx-v1.1.0`

### Commits

- feat(otel-thread-ctx): add update-and-attach operation (#2443)

## libdd-tinybytes
**Next version:** `1.1.3`
**Semver bump:** `patch`
**Tag:** `libdd-tinybytes-v1.1.3`

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)

## libdd-capabilities-impl
**Next version:** `5.0.0`
**Semver bump:** `major`
**Tag:** `libdd-capabilities-impl-v5.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.1.1 → ^6.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- feat: do not entirely disable connection pooling for periodic
connections (#2440)
- feat(data-pipeline): add runtime-independent agentless sending (#2389)

## libdd-http-client
**Next version:** `2.0.0`
**Semver bump:** `major`
**Tag:** `libdd-http-client-v2.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.1.1 → ^6.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- feat(data-pipeline): add runtime-independent agentless sending (#2389)
- feat(common)!: add HTTPS_PROXY support for hyper_backend (#2421)

## libdd-remote-config
**Next version:** `5.0.0`
**Semver bump:** `major`
**Tag:** `libdd-remote-config-v5.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0

### Commits

- fix(remote-config): refresh fetcher identity (#2469)
- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- fix(remote-config): reuse injected sleep capability (#2429)

## libdd-shared-runtime
**Next version:** `4.0.0`
**Semver bump:** `major`
**Tag:** `libdd-shared-runtime-v4.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0

### Commits

- fix(shared-runtime): allow disabling worker fork restart (#2464)

## libdd-trace-utils
**Next version:** `12.0.0`
**Semver bump:** `major`
**Tag:** `libdd-trace-utils-v12.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0

### Commits

- feat(trace-utils): add v1-native JSON log encoder brick (#2371)
- feat(trace-utils): add v1-native agentless JSON encoder brick (#2370)
- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- fix(trace-stats): read OTel HTTP names for the status and method
dimensions (#2323)
- feat(data-pipeline): emit native trace export telemetry (#2338)
- feat(data-pipeline)!: add agentless stats export (#2309)
- fix(trace-utils): use vec map dedup when serializing (#2422)
- feat(data-pipeline): add runtime-independent agentless sending (#2389)
- fix(compression): align zstd behavior across targets (#2400)
- feat(trace-utils)!: add from owned to SpanText (#2403)

## libdd-ffe
**Next version:** `2.0.0`
**Semver bump:** `major`
**Tag:** `libdd-ffe-v2.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.1.1 → ^6.0.0
- `libdd-remote-config`: ^3.0.0 → ^4.1.0
- `libdd-trace-protobuf`: ^4.0.1 → ^5.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- feat(ffe): support arbitrary semver core parts (#2413)
- feat(ffe)!: send the split serial id on exposure events [EX-3425]
(#2402)
- feat(ffe): expose observeFullEvaluationData config-level FFI getter
(#2373)
- fix(ffe): report rejected flags as parse errors (#2339)
- test: skip/shorten slow miri jobs (#2331)

## libdd-dogstatsd-client
**Next version:** `6.0.0`
**Semver bump:** `major`
**Tag:** `libdd-dogstatsd-client-v6.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)

## libdd-telemetry
**Next version:** `8.0.0`
**Semver bump:** `major`
**Tag:** `libdd-telemetry-v8.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- refactor(telemetry): avoid doing two separate http requests in stop
telemetry (#2435)

## libdd-trace-obfuscation
**Next version:** `8.0.0`
**Semver bump:** `major`
**Tag:** `libdd-trace-obfuscation-v8.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0
- `libdd-trace-utils`: ^11.0.0 → ^12.0.0

### Commits

- fix(trace-obfuscation): scan all span meta for credit-card obfuscation
(#2472)
- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- feat(data-pipeline)!: Obfuscate v04 spans in agentless context (#2418)

## libdd-tracer-flare
**Next version:** `3.0.0`
**Semver bump:** `major`
**Tag:** `libdd-tracer-flare-v3.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0
- `libdd-trace-utils`: ^11.0.0 → ^12.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)

## libdd-crashtracker
**Next version:** `3.0.0`
**Semver bump:** `major`
**Tag:** `libdd-crashtracker-v3.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- fix(crashtracking): filter out frames above faulting frame (#2428)
- feat(sidecar)!: support appsec helper-rust integration with sidecar
(#2310)
- chore(crashtracking): use RAII remote ptrace API (#2416)
- chore(crashtracking): bump libdd-libunwind-sys to v1.0.3 (#2414)

## libdd-data-pipeline-core
**Next version:** `1.0.0`
**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-core-v1.0.0`

**Warning:** this is an initial release. Please verify that the version
and commits included are correct.


## libdd-trace-stats
**Next version:** `9.0.0`
**Semver bump:** `major`
**Tag:** `libdd-trace-stats-v9.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0
- `libdd-trace-obfuscation`: ^7.0.0 → ^8.0.0
- `libdd-trace-utils`: ^11.0.0 → ^12.0.0

### Commits

- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- fix(trace-stats): read OTel HTTP names for the status and method
dimensions (#2323)
- feat(data-pipeline)!: add agentless stats export (#2309)
- feat(trace-utils)!: add from owned to SpanText (#2403)

## libdd-data-pipeline
**Next version:** `10.0.0`
**Semver bump:** `major`
**Tag:** `libdd-data-pipeline-v10.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0
- `libdd-trace-obfuscation`: ^7.0.0 → ^8.0.0
- `libdd-trace-stats`: ^8.0.0 → ^9.0.0
- `libdd-trace-utils`: ^11.0.0 → ^12.0.0

### Commits

- feat(trace-utils): add v1-native JSON log encoder brick (#2371)
- chore: prepare crate for publishing (#2466)
- refactor: migrate HTTP & networking deps to workspace level (phase
4bis) (#2350)
- fix(trace-stats): read OTel HTTP names for the status and method
dimensions (#2323)
- fix(data-pipeline): pass obfuscation config to OTLP stats (#2444)
- feat(data-pipeline): emit native trace export telemetry (#2338)
- feat(data-pipeline): add fork-safe OTLP gRPC trace transport (#2273)
- feat(data-pipeline)!: add agentless stats export (#2309)
- feat(data-pipeline)!: Obfuscate v04 spans in agentless context (#2418)
- feat(data-pipeline): add runtime-independent agentless sending (#2389)
- feat(trace-utils)!: add from owned to SpanText (#2403)

## libdd-ipc
**Next version:** `2.0.0`
**Semver bump:** `major`
**Tag:** `libdd-ipc-v2.0.0`

### ⚠️ major bump forced due to:

- `libdd-common`: ^5.2.0 → ^6.0.0
- `libdd-trace-stats`: ^8.0.0 → ^9.0.0

### Commits

- fix(ipc): drop the signal feature from libdd-ipc (#2431)

## libdd-live-debugger
**Next version:** `1.0.0`
**Semver bump:** `major`
**Tag:** `libdd-live-debugger-v1.0.0`

**Warning:** this is an initial release. Please verify that the version
and commits included are correct.


[EX-3425]:
https://datadoghq.atlassian.net/browse/EX-3425?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ

---------

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: hoolioh <107922352+hoolioh@users.noreply.github.com>
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@yannham yannham yannham approved these changes
@leoromanovsky leoromanovsky Awaiting requested review from leoromanovsky leoromanovsky is a code owner automatically assigned from DataDog/feature-flagging-and-experimentation-sdk
@typotter typotter Awaiting requested review from typotter typotter is a code owner automatically assigned from DataDog/feature-flagging-and-experimentation-sdk

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@morrisonlevi @yannham