fix(remote-config): late shutdown crash

[morrisonlevi]

Description

This happens during shutdown, e.g.

#4   0x0000aaaade6429a4 _efree
#5   0x0000ffff9a9a1624 ddog_shutdown_remote_config
#6   0x0000ffff9a8fc39c
#7   0x0000aaaade64b700
#8   0x0000aaaade703884 zend_hash_graceful_reverse_destroy
#9   0x0000aaaade755264
#10  0x0000aaaade5d5144 php_module_shutdown

Reviewer checklist

• Test coverage seems ok.
• Appropriate labels assigned.

[datadog-datadog-prod-us1-2]

 

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DataDog/apm-reliability/dd-trace-php | check libxml2 version — 🔧 Needs a code fix, caused by this PR

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ℹ️ Info

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🧪 All tests passed
❄️ No new flaky tests detected

🎯 Code Coverage (details)
• Patch Coverage: 100.00%
• Overall Coverage: 68.25% (-0.04%)

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[chatgpt-codex-connector]

Codex Review Summary

This comment shows the latest Codex review activity on this pull request.

Review	Status	Commit	Review trigger
📝 Code Review	✅ Completed 2026-09-19T15:51:17.761503Z	31fb92e	Draft marked ready
🔒 Security Review	✅ Completed 2026-09-19T15:55:59.870969Z	31fb92e	Draft marked ready

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[chatgpt-codex-connector]

💡 Codex Review

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Reviewed commit: 31fb92efe0

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[pr-commenter]

Benchmarks [ tracer ]

Benchmark execution time: 2026-09-21 12:51:02

Comparing candidate commit 91d98e7 in PR branch levi/remote-config-shutdown with baseline commit 05e7216 in branch master.

Found 2 performance improvements and 0 performance regressions! Performance is the same for 190 metrics, 2 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 [-5.470µs; -3.530µs] or [-4.610%; -2.975%]

scenario:MessagePackSerializationBench/benchMessagePackSerialization-opcache

• 🟩 execution_time [-6.451µs; -5.649µs] or [-5.471%; -4.791%]