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fix(remote-config): refresh fetcher identity - #2469

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BridgeAR/2026-09-04-microvm-rc-identity
Sep 7, 2026
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gh-worker-dd-mergequeue-cf854d[bot] merged 3 commits into
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BridgeAR/2026-09-04-microvm-rc-identity

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@BridgeAR

@BridgeAR BridgeAR commented Sep 4, 2026

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A resumed process changes its client and runtime identifiers, but an existing fetcher keeps the snapshot identity. Updating the identity in place preserves client and file state for later polls. Refs: DataDog/dd-trace-js#10067 (comment)

A resumed process changes its client and runtime identifiers, but an existing fetcher keeps the snapshot identity. Updating the identity in place preserves client and file state for later polls.

Refs: DataDog/dd-trace-js#10067 (comment)
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pr-commenter Bot commented Sep 4, 2026 •

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Benchmarks

Comparison

Benchmark execution time: 2026-09-07 15:29:28

Comparing candidate commit cd4aa79 in PR branch BridgeAR/2026-09-04-microvm-rc-identity with baseline commit b15bd22 in branch main.

📊 Benchmarking dashboard

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 8259CL CPU @ 2.50GHz cd4aa79 1788794367 BridgeAR/2026-09-04-microvm-rc-identity
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 258.275µs 263.707µs ± 11.931µs 260.808µs ± 1.171µs 262.889µs 275.911µs 312.124µs 382.647µs 46.72% 6.784 55.836 4.51% 0.844µs 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 [262.053µs; 265.361µs] or [-0.627%; +0.627%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz cd4aa79 1788794367 BridgeAR/2026-09-04-microvm-rc-identity
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 5.291ms 5.312ms ± 0.008ms 5.311ms ± 0.004ms 5.315ms 5.323ms 5.337ms 5.374ms 1.18% 2.405 15.412 0.15% 0.001ms 1 200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput 465241.158op/s 470655.033op/s ± 724.716op/s 470709.966op/s ± 377.414op/s 471064.665op/s 471609.390op/s 471914.291op/s 472462.276op/s 0.37% -2.352 14.935 0.15% 51.245op/s 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time 7.907ms 7.948ms ± 0.015ms 7.944ms ± 0.008ms 7.957ms 7.974ms 7.990ms 8.015ms 0.90% 1.032 2.354 0.19% 0.001ms 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput 124762.909op/s 125817.899op/s ± 234.800op/s 125882.217op/s ± 120.383op/s 125976.918op/s 126076.685op/s 126317.372op/s 126470.094op/s 0.47% -1.014 2.295 0.19% 16.603op/s 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time 177.866µs 182.687µs ± 40.234µs 179.849µs ± 0.301µs 180.165µs 180.614µs 180.939µs 748.788µs 316.34% 14.033 194.944 21.97% 2.845µs 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput 133549.060op/s 553935.609op/s ± 29914.949op/s 556022.317op/s ± 933.094op/s 556909.266op/s 557817.872op/s 560801.189op/s 562220.390op/s 1.11% -13.979 193.955 5.39% 2115.306op/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 [5.311ms; 5.313ms] or [-0.021%; +0.021%] None None None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput [470554.595op/s; 470755.472op/s] or [-0.021%; +0.021%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time [7.946ms; 7.950ms] or [-0.026%; +0.026%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput [125785.358op/s; 125850.440op/s] or [-0.026%; +0.026%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time [177.111µs; 188.263µs] or [-3.052%; +3.052%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput [549789.685op/s; 558081.533op/s] or [-0.748%; +0.748%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz cd4aa79 1788794367 BridgeAR/2026-09-04-microvm-rc-identity
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 155.987ns 159.237ns ± 2.730ns 158.762ns ± 1.496ns 160.255ns 164.327ns 167.399ns 172.259ns 8.50% 1.442 2.833 1.71% 0.193ns 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 [158.859ns; 159.616ns] or [-0.238%; +0.238%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz cd4aa79 1788794367 BridgeAR/2026-09-04-microvm-rc-identity
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 21.307ms 21.493ms ± 0.103ms 21.472ms ± 0.072ms 21.573ms 21.680ms 21.708ms 21.741ms 1.25% 0.418 -0.745 0.48% 0.007ms 1 200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput 114987.741op/s 116320.832op/s ± 555.166op/s 116428.293op/s ± 391.288op/s 116754.729op/s 117115.879op/s 117242.701op/s 117334.474op/s 0.78% -0.403 -0.759 0.48% 39.256op/s 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time 94.414ms 94.753ms ± 0.239ms 94.707ms ± 0.164ms 94.926ms 95.006ms 95.111ms 96.877ms 2.29% 3.733 29.641 0.25% 0.017ms 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput 10322.355op/s 10553.828op/s ± 26.391op/s 10558.835op/s ± 18.318op/s 10574.347op/s 10580.873op/s 10584.496op/s 10591.643op/s 0.31% -3.602 28.105 0.25% 1.866op/s 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time 592.316µs 593.761µs ± 0.490µs 593.797µs ± 0.331µs 594.097µs 594.508µs 594.922µs 595.129µs 0.22% -0.146 0.192 0.08% 0.035µs 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput 168030.776op/s 168418.138op/s ± 138.963op/s 168407.781op/s ± 93.782op/s 168514.824op/s 168653.643op/s 168747.254op/s 168828.870op/s 0.25% 0.151 0.193 0.08% 9.826op/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 [21.479ms; 21.507ms] or [-0.066%; +0.066%] None None None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput [116243.892op/s; 116397.773op/s] or [-0.066%; +0.066%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time [94.720ms; 94.786ms] or [-0.035%; +0.035%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput [10550.171op/s; 10557.486op/s] or [-0.035%; +0.035%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time [593.693µs; 593.829µs] or [-0.011%; +0.011%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput [168398.879op/s; 168437.397op/s] or [-0.011%; +0.011%] None None None

Baseline

Baseline benchmark details

Group 1

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b15bd22 1788785989 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 258.119µs 263.863µs ± 12.461µs 260.680µs ± 1.173µs 262.815µs 276.002µs 314.095µs 393.616µs 51.00% 7.178 63.329 4.71% 0.881µs 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 [262.136µs; 265.590µs] or [-0.655%; +0.655%] None None None

Group 2

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b15bd22 1788785989 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 5.273ms 5.294ms ± 0.011ms 5.294ms ± 0.005ms 5.299ms 5.305ms 5.320ms 5.396ms 1.94% 4.334 37.427 0.21% 0.001ms 1 200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput 463294.776op/s 472209.712op/s ± 962.111op/s 472265.322op/s ± 429.452op/s 472693.088op/s 473408.611op/s 473743.111op/s 474117.971op/s 0.39% -4.209 35.924 0.20% 68.032op/s 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time 7.905ms 7.937ms ± 0.010ms 7.937ms ± 0.005ms 7.943ms 7.952ms 7.960ms 7.970ms 0.42% -0.179 1.620 0.12% 0.001ms 1 200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput 125468.263op/s 125992.943op/s ± 157.034op/s 125997.750op/s ± 86.785op/s 126070.262op/s 126253.262op/s 126432.232op/s 126503.627op/s 0.40% 0.192 1.622 0.12% 11.104op/s 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time 177.792µs 182.735µs ± 39.857µs 179.726µs ± 0.330µs 180.271µs 181.082µs 181.582µs 743.510µs 313.69% 14.031 194.909 21.76% 2.818µs 1 200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput 134497.182op/s 553710.337op/s ± 29853.262op/s 556401.849op/s ± 1022.985op/s 557140.257op/s 557798.744op/s 558193.897op/s 562456.585op/s 1.09% -13.949 193.380 5.38% 2110.944op/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 [5.293ms; 5.296ms] or [-0.028%; +0.028%] None None None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields throughput [472076.372op/s; 472343.051op/s] or [-0.028%; +0.028%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields execution_time [7.936ms; 7.938ms] or [-0.017%; +0.017%] None None None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields throughput [125971.180op/s; 126014.707op/s] or [-0.017%; +0.017%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields execution_time [177.212µs; 188.259µs] or [-3.023%; +3.023%] None None None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields throughput [549572.962op/s; 557847.712op/s] or [-0.747%; +0.747%] None None None

Group 3

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b15bd22 1788785989 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 156.053ns 159.705ns ± 2.899ns 159.277ns ± 1.829ns 161.190ns 164.205ns 168.493ns 176.491ns 10.81% 1.627 5.358 1.81% 0.205ns 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 [159.304ns; 160.107ns] or [-0.252%; +0.252%] None None None

Group 4

cpu_model git_commit_sha git_commit_date git_branch
Intel(R) Xeon(R) Platinum 8259CL CPU @ 2.50GHz b15bd22 1788785989 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 21.658ms 21.897ms ± 0.066ms 21.903ms ± 0.037ms 21.937ms 21.990ms 22.034ms 22.052ms 0.68% -0.972 2.039 0.30% 0.005ms 1 200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput 113370.358op/s 114172.075op/s ± 342.554op/s 114138.343op/s ± 191.174op/s 114335.103op/s 114831.900op/s 115266.697op/s 115430.151op/s 1.13% 1.000 2.106 0.30% 24.222op/s 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time 95.323ms 96.026ms ± 0.273ms 95.993ms ± 0.094ms 96.099ms 96.492ms 96.656ms 97.765ms 1.85% 1.632 8.606 0.28% 0.019ms 1 200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput 10228.560op/s 10413.943op/s ± 29.424op/s 10417.412op/s ± 10.234op/s 10426.671op/s 10456.708op/s 10476.953op/s 10490.693op/s 0.70% -1.566 8.193 0.28% 2.081op/s 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time 596.947µs 597.892µs ± 0.579µs 597.768µs ± 0.276µs 598.077µs 599.216µs 599.616µs 600.140µs 0.40% 1.377 1.943 0.10% 0.041µs 1 200
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput 166627.780op/s 167254.575op/s ± 161.757op/s 167289.067op/s ± 77.238op/s 167360.978op/s 167440.996op/s 167510.375op/s 167519.148op/s 0.14% -1.371 1.924 0.10% 11.438op/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 [21.888ms; 21.906ms] or [-0.041%; +0.041%] None None None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields throughput [114124.600op/s; 114219.550op/s] or [-0.042%; +0.042%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields execution_time [95.988ms; 96.064ms] or [-0.039%; +0.039%] None None None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields throughput [10409.866op/s; 10418.021op/s] or [-0.039%; +0.039%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields execution_time [597.811µs; 597.972µs] or [-0.013%; +0.013%] None None None
flagevaluation_evp/payloads/typical/100flags_50users_10fields throughput [167232.157op/s; 167276.993op/s] or [-0.013%; +0.013%] None None None

@BridgeAR

BridgeAR commented Sep 4, 2026

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For MicroVMs, we need to be able to refresh the IDs, thus the PR.

@BridgeAR
BridgeAR marked this pull request as ready for review September 4, 2026 16:26
@BridgeAR
BridgeAR requested review from a team as code owners September 4, 2026 16:26

@datadog-prod-us1-5 datadog-prod-us1-5 Bot left a comment

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Datadog Autotest: PASS

More details

The new setter updates all request identity fields. It keeps the existing client and file state.

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🤖 Datadog Autotest · Commit 5d495df · What is Autotest? · @DataDog review to ask questions · Any feedback? Reach out in #autotest

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Tests

✅ All CI checks and tests passed.

🎉 All green!

🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 98.00%
• Overall Coverage: 77.29% (+0.04%)

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: cd4aa79 | Docs | View more details | Give us feedback!

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Artifact Size Benchmark Report

aarch64-alpine-linux-musl
Artifact Baseline Commit Change
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.so 8.45 MB 8.45 MB 0% (0 B) 👌
/aarch64-alpine-linux-musl/lib/libdatadog_profiling.a 91.32 MB 91.32 MB 0% (0 B) 👌
aarch64-unknown-linux-gnu
Artifact Baseline Commit Change
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a 102.61 MB 102.61 MB 0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.38 MB 11.38 MB 0% (0 B) 👌
libdatadog-x64-windows
Artifact Baseline Commit Change
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.dll 27.32 MB 27.32 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.lib 96.08 KB 96.08 KB 0% (0 B) 👌
/libdatadog-x64-windows/debug/dynamic/datadog_profiling_ffi.pdb 185.40 MB 185.40 MB 0% (0 B) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib 804.08 MB 804.08 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.dll 9.00 MB 9.00 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.lib 96.08 KB 96.08 KB 0% (0 B) 👌
/libdatadog-x64-windows/release/dynamic/datadog_profiling_ffi.pdb 26.20 MB 26.20 MB 0% (0 B) 👌
/libdatadog-x64-windows/release/static/datadog_profiling_ffi.lib 52.21 MB 52.21 MB 0% (0 B) 👌
libdatadog-x86-windows
Artifact Baseline Commit Change
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.dll 23.82 MB 23.82 MB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.lib 97.58 KB 97.58 KB 0% (0 B) 👌
/libdatadog-x86-windows/debug/dynamic/datadog_profiling_ffi.pdb 190.45 MB 190.44 MB -0% (-8.00 KB) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib 787.03 MB 787.03 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.dll 6.96 MB 6.96 MB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.lib 97.58 KB 97.58 KB 0% (0 B) 👌
/libdatadog-x86-windows/release/dynamic/datadog_profiling_ffi.pdb 28.18 MB 28.19 MB +.02% (+8.00 KB) 🔍
/libdatadog-x86-windows/release/static/datadog_profiling_ffi.lib 49.70 MB 49.70 MB 0% (0 B) 👌
x86_64-alpine-linux-musl
Artifact Baseline Commit Change
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.a 81.48 MB 81.48 MB 0% (0 B) 👌
/x86_64-alpine-linux-musl/lib/libdatadog_profiling.so 9.41 MB 9.41 MB 0% (0 B) 👌
x86_64-unknown-linux-gnu
Artifact Baseline Commit Change
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.a 97.21 MB 97.21 MB 0% (0 B) 👌
/x86_64-unknown-linux-gnu/lib/libdatadog_profiling.so 11.46 MB 11.46 MB 0% (0 B) 👌

This comes from a signature change on Fetcher::fetch_once()

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I left a small change dropping the Arc<> altogether. Looks good.

@BridgeAR

BridgeAR commented Sep 7, 2026

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/merge

@gh-worker-devflow-routing-ef8351

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View all feedbacks in Devflow UI.

2026-09-07 15:20:10 UTC ℹ️ Start processing command /merge


2026-09-07 15:20:17 UTC ℹ️ MergeQueue: Pull request is not mergeable yet

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gh-worker-dd-mergequeue-cf854d Bot merged commit e1bf271 into main Sep 7, 2026
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gh-worker-dd-mergequeue-cf854d Bot deleted the BridgeAR/2026-09-04-microvm-rc-identity branch September 7, 2026 16:34
hoolioh added a commit that referenced this pull request Sep 8, 2026
…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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