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[IGNORE] performance/flaky-benchmarks-monitoring - #4221

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@igoragoli

@igoragoli igoragoli commented Sep 20, 2026 •

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Automation branch for flaky benchmarks monitoring. See docs.

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pr-commenter Bot commented Sep 20, 2026 •

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Benchmarks [ appsec ]

Benchmark execution time: 2026-10-01 02:23:07

Comparing candidate commit d0d571f in PR branch performance/flaky-benchmarks-monitoring with baseline commit c6e46bc in branch master.

📊 Benchmarking dashboard

Found 0 performance improvements and 0 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 ----------------------------------'

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pr-commenter Bot commented Sep 20, 2026 •

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Benchmarks [ profiler ]

Benchmark execution time: 2026-10-01 02:27:43

Comparing candidate commit d0d571f in PR branch performance/flaky-benchmarks-monitoring with baseline commit c6e46bc in branch master.

📊 Benchmarking dashboard

Found 0 performance improvements and 0 performance regressions! Performance is the same for 27 metrics, 9 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 ----------------------------------'

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:php-profiler-exceptions-control

  • unstable cpu_system_time [-6.457ms; +3.835ms] or [-10.916%; +6.484%]
  • unstable cpu_user_time [-3.619ms; +5.740ms] or [-5.555%; +8.811%]

scenario:php-profiler-exceptions-with-profiler

  • unstable cpu_system_time [-15.502ms; -0.180ms] or [-22.960%; -0.266%]
  • unstable cpu_usage_percentage [+4.971%; +47.861%]
  • unstable cpu_user_time [-1.003ms; +13.578ms] or [-1.255%; +16.988%]
  • unstable execution_time [-109.254ms; -13.710ms] or [-45.646%; -5.728%]

scenario:php-profiler-exceptions-with-profiler-and-timeline

  • unstable cpu_system_time [-4.378ms; +10.897ms] or [-6.760%; +16.825%]
  • unstable cpu_user_time [-9.424ms; +4.651ms] or [-11.309%; +5.581%]

scenario:php-profiler-timeline-memory-control

  • unstable cpu_system_time [-6347.614µs; +5992.014µs] or [-10.119%; +9.552%]

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datadog-datadog-prod-us1 Bot commented Sep 20, 2026 •

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Pipelines  Tests

✨ Unblock PR with BitsAI

❌ Errors

Your PR has failed checks. Please review the issues below and take necessary action before merging.

🚦 7 Pipeline jobs failed

DataDog/apm-reliability/dd-trace-php | benchmarks-tracer — 🔧 Needs a code fix, caused by this PR

View more details · View in GitLab

DataDog/apm-reliability/dd-trace-php | Loader test on amd64 libc: [7.4, zts, amd64, true] — 🔄 Retry may pass, looks flaky

View more details · View in GitLab

DataDog/apm-reliability/dd-trace-php | linux-php-laravel-realworld-parallel — 🔄 Retry may pass, looks flaky

View more details · View in GitLab

View all 7 failed jobs.

ℹ️ Info

No other issues found (see more)

🧪 All tests passed
❄️ No new flaky tests detected

Useful? React with 👍 / 👎

This comment will be updated automatically if new data arrives.
🔗 Commit SHA: d0d571f | Docs | View more details | Give us feedback!

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pr-commenter Bot commented Sep 20, 2026 •

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Benchmarks [ tracer ]

Benchmark execution time: 2026-10-01 03:05:35

Comparing candidate commit d0d571f in PR branch performance/flaky-benchmarks-monitoring with baseline commit c6e46bc in branch master.

📊 Benchmarking dashboard

Found 0 performance improvements and 3 performance regressions! Performance is the same for 190 metrics, 1 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:MessagePackSerializationBench/benchMessagePackSerialization

  • 🟥 execution_time [+3.043µs; +5.077µs] or [+2.735%; +4.565%]

scenario:MessagePackSerializationBench/benchMessagePackSerialization-opcache

  • 🟥 execution_time [+2.889µs; +3.911µs] or [+2.552%; +3.454%]

scenario:SamplingRuleMatchingBench/benchRegexMatching3

  • 🟥 execution_time [+35.870ns; +106.530ns] or [+2.378%; +7.063%]

Unstable benchmarks

These benchmarks have a confidence interval too wide to call a change; treat them as noise rather than signal.

scenario:LaravelBench/benchLaravelDdprof-opcache

  • unstable execution_time [-844.179µs; +715.299µs] or [-5.915%; +5.012%]

@igoragoli
igoragoli force-pushed the performance/flaky-benchmarks-monitoring branch 4 times, most recently from 62d2744 to 875a995 Compare September 21, 2026 23:31
@igoragoli igoragoli changed the title performance/flaky-benchmarks-monitoring [IGNORE] performance/flaky-benchmarks-monitoring Sep 22, 2026
@igoragoli
igoragoli force-pushed the performance/flaky-benchmarks-monitoring branch 4 times, most recently from 9ce3300 to a32a8de Compare September 29, 2026 09:35
@igoragoli
igoragoli force-pushed the performance/flaky-benchmarks-monitoring branch from a32a8de to 64285be Compare September 30, 2026 09:41
Generated by stability-generate-patch from
benchmarking-platform-tools patch-specs/dd-trace-php.yml.
Base: master @ c6e46bc.
Do not edit by hand — this branch is force-pushed on each refresh.
@igoragoli
igoragoli force-pushed the performance/flaky-benchmarks-monitoring branch from 64285be to d0d571f Compare September 30, 2026 19:17
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