fix(remote-config): refresh fetcher identity by BridgeAR · Pull Request #2469 · DataDog/libdatadog

BridgeAR · 2026-09-04T16:19:54Z

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)

pr-commenter · 2026-09-04T16:21:45Z

Benchmarks

Comparison

Benchmark execution time: 2026-09-04 18:19:45

Comparing candidate commit 0e3783a in PR branch BridgeAR/2026-09-04-microvm-rc-identity with baseline commit 64ad2ed 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 8175M CPU @ 2.50GHz	`0e3783a`	1788545147	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	21.442ms	21.525ms ± 0.029ms	21.523ms ± 0.019ms	21.544ms	21.575ms	21.588ms	21.611ms	0.41%	0.121	0.082	0.14%	0.002ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	115683.753op/s	116144.077op/s ± 158.549op/s	116157.327op/s ± 103.688op/s	116246.565op/s	116382.557op/s	116510.960op/s	116596.214op/s	0.38%	-0.113	0.081	0.14%	11.211op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	95.932ms	96.577ms ± 0.489ms	96.529ms ± 0.146ms	96.737ms	96.882ms	97.045ms	102.656ms	6.35%	9.584	117.645	0.51%	0.035ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9741.230op/s	10354.656op/s ± 50.074op/s	10359.594op/s ± 15.633op/s	10369.381op/s	10403.190op/s	10421.247op/s	10424.094op/s	0.62%	-9.164	110.943	0.48%	3.541op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	594.425µs	596.478µs ± 0.897µs	596.484µs ± 0.589µs	597.075µs	597.972µs	598.872µs	599.201µs	0.46%	0.232	-0.054	0.15%	0.063µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	166888.812op/s	167651.017op/s ± 251.978op/s	167649.012op/s ± 165.536op/s	167813.956op/s	168051.564op/s	168194.561op/s	168229.823op/s	0.35%	-0.224	-0.062	0.15%	17.818op/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	[21.521ms; 21.529ms] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[116122.103op/s; 116166.050op/s] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[96.509ms; 96.645ms] or [-0.070%; +0.070%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[10347.716op/s; 10361.595op/s] or [-0.067%; +0.067%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[596.354µs; 596.603µs] or [-0.021%; +0.021%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[167616.095op/s; 167685.938op/s] or [-0.021%; +0.021%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`0e3783a`	1788545147	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	257.147µs	263.403µs ± 12.163µs	260.423µs ± 1.213µs	262.491µs	275.325µs	323.648µs	384.584µs	47.68%	6.837	56.148	4.61%	0.860µs	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	[261.717µs; 265.088µs] or [-0.640%; +0.640%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`0e3783a`	1788545147	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	156.023ns	159.622ns ± 2.727ns	159.094ns ± 1.606ns	160.858ns	164.318ns	167.239ns	171.436ns	7.76%	1.176	2.073	1.70%	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	[159.244ns; 160.000ns] or [-0.237%; +0.237%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`0e3783a`	1788545147	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	5.343ms	5.363ms ± 0.008ms	5.363ms ± 0.005ms	5.369ms	5.375ms	5.382ms	5.392ms	0.54%	0.214	0.426	0.14%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	463656.021op/s	466145.076op/s ± 659.218op/s	466170.975op/s ± 462.990op/s	466553.911op/s	467146.083op/s	467485.156op/s	467862.370op/s	0.36%	-0.204	0.408	0.14%	46.614op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.904ms	7.936ms ± 0.012ms	7.935ms ± 0.005ms	7.942ms	7.957ms	7.977ms	8.002ms	0.84%	1.100	4.907	0.16%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124975.885op/s	126005.668op/s ± 196.041op/s	126026.705op/s ± 86.066op/s	126092.141op/s	126353.491op/s	126442.357op/s	126511.277op/s	0.38%	-1.074	4.806	0.16%	13.862op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	177.811µs	181.694µs ± 0.826µs	181.595µs ± 0.333µs	182.015µs	182.869µs	183.278µs	187.870µs	3.46%	1.167	18.801	0.45%	0.058µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	532284.378op/s	550386.994op/s ± 2490.773op/s	550675.601op/s ± 1010.789op/s	551593.573op/s	552243.069op/s	558973.227op/s	562395.430op/s	2.13%	-0.907	17.662	0.45%	176.124op/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; 5.364ms] or [-0.020%; +0.020%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[466053.715op/s; 466236.437op/s] or [-0.020%; +0.020%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[7.934ms; 7.938ms] or [-0.022%; +0.022%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[125978.499op/s; 126032.838op/s] or [-0.022%; +0.022%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[181.580µs; 181.809µs] or [-0.063%; +0.063%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[550041.797op/s; 550732.191op/s] or [-0.063%; +0.063%]	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	`64ad2ed`	1788533433	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	21.404ms	21.490ms ± 0.041ms	21.484ms ± 0.028ms	21.526ms	21.557ms	21.567ms	21.571ms	0.41%	0.145	-0.850	0.19%	0.003ms	1	200
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	115893.691op/s	116332.926op/s ± 223.693op/s	116365.172op/s ± 150.714op/s	116490.662op/s	116697.021op/s	116766.585op/s	116803.133op/s	0.38%	-0.139	-0.849	0.19%	15.817op/s	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	94.925ms	95.561ms ± 0.490ms	95.493ms ± 0.323ms	95.833ms	95.917ms	96.116ms	100.910ms	5.67%	6.545	68.933	0.51%	0.035ms	1	200
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	9909.803op/s	10464.769op/s ± 52.020op/s	10471.970op/s ± 35.394op/s	10490.596op/s	10517.253op/s	10521.006op/s	10534.627op/s	0.60%	-6.125	62.938	0.50%	3.678op/s	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	597.401µs	598.770µs ± 0.560µs	598.765µs ± 0.363µs	599.134µs	599.614µs	600.277µs	600.673µs	0.32%	0.122	0.546	0.09%	0.040µs	1	200
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	166479.837op/s	167009.160op/s ± 156.045op/s	167010.389op/s ± 101.236op/s	167102.676op/s	167264.390op/s	167378.061op/s	167391.622op/s	0.23%	-0.115	0.539	0.09%	11.034op/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	[21.484ms; 21.496ms] or [-0.027%; +0.027%]	None	None	None
flagevaluation_evp/payloads/scale/2500flags_500users_20fields	throughput	[116301.924op/s; 116363.928op/s] or [-0.027%; +0.027%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	execution_time	[95.493ms; 95.629ms] or [-0.071%; +0.071%]	None	None	None
flagevaluation_evp/payloads/stress/10flags_1000users_250fields	throughput	[10457.559op/s; 10471.978op/s] or [-0.069%; +0.069%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	execution_time	[598.693µs; 598.848µs] or [-0.013%; +0.013%]	None	None	None
flagevaluation_evp/payloads/typical/100flags_50users_10fields	throughput	[166987.533op/s; 167030.786op/s] or [-0.013%; +0.013%]	None	None	None

Group 2

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`64ad2ed`	1788533433	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	257.170µs	263.156µs ± 12.315µs	260.251µs ± 1.123µs	261.852µs	274.181µs	309.060µs	393.246µs	51.10%	7.385	66.722	4.67%	0.871µs	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	[261.449µs; 264.862µs] or [-0.649%; +0.649%]	None	None	None

Group 3

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`64ad2ed`	1788533433	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	156.199ns	159.107ns ± 2.339ns	158.763ns ± 1.605ns	160.495ns	163.502ns	165.780ns	166.841ns	5.09%	0.903	0.520	1.47%	0.165ns	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	[158.782ns; 159.431ns] or [-0.204%; +0.204%]	None	None	None

Group 4

cpu_model	git_commit_sha	git_commit_date	git_branch
Intel(R) Xeon(R) Platinum 8175M CPU @ 2.50GHz	`64ad2ed`	1788533433	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	5.329ms	5.345ms ± 0.008ms	5.344ms ± 0.004ms	5.349ms	5.357ms	5.363ms	5.395ms	0.95%	1.434	6.920	0.15%	0.001ms	1	200
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	463388.615op/s	467749.241op/s ± 691.955op/s	467788.745op/s ± 393.880op/s	468162.021op/s	468695.550op/s	468968.751op/s	469157.383op/s	0.29%	-1.404	6.703	0.15%	48.929op/s	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	7.971ms	8.008ms ± 0.011ms	8.007ms ± 0.006ms	8.014ms	8.023ms	8.036ms	8.046ms	0.49%	-0.201	1.423	0.14%	0.001ms	1	200
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	124284.638op/s	124879.274op/s ± 175.368op/s	124890.271op/s ± 89.438op/s	124964.100op/s	125200.171op/s	125407.072op/s	125451.705op/s	0.45%	0.215	1.430	0.14%	12.400op/s	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	180.188µs	183.851µs ± 0.741µs	183.753µs ± 0.360µs	184.304µs	185.057µs	185.516µs	186.115µs	1.29%	-0.968	5.944	0.40%	0.052µs	1	200
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	537303.080op/s	543928.545op/s ± 2199.744op/s	544207.492op/s ± 1065.911op/s	545115.964op/s	546002.485op/s	551830.080op/s	554977.454op/s	1.98%	1.054	6.306	0.40%	155.545op/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	[5.344ms; 5.346ms] or [-0.021%; +0.021%]	None	None	None
flagevaluation_evp/coalescer/scale/2500flags_500users_20fields	throughput	[467653.343op/s; 467845.139op/s] or [-0.021%; +0.021%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	execution_time	[8.006ms; 8.009ms] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/coalescer/stress/10flags_1000users_250fields	throughput	[124854.970op/s; 124903.579op/s] or [-0.019%; +0.019%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	execution_time	[183.748µs; 183.953µs] or [-0.056%; +0.056%]	None	None	None
flagevaluation_evp/coalescer/typical/100flags_50users_10fields	throughput	[543623.682op/s; 544233.409op/s] or [-0.056%; +0.056%]	None	None	None

github-actions · 2026-09-04T16:21:56Z

📚 Documentation Check Results

⚠️ 682 documentation warning(s) found

📦 `libdd-remote-config` - 682 warning(s)

Updated: 2026-09-04 18:08:14 UTC | Commit: c5ea893 | missing-docs job results

github-actions · 2026-09-04T16:23:44Z

🔒 Cargo Deny Results

⚠️ 2 issue(s) found, showing only errors (advisories, bans, sources)

📦 `libdd-remote-config` - 2 error(s)

Show output

error[unsound]: Rand is unsound with a custom logger using `rand::rng()`
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:102:1
    │
102 │ rand 0.8.5 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ unsound advisory detected
    │
    ├ ID: RUSTSEC-2026-0097
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0097
    ├ It has been reported (by [@lopopolo](https://github.com/lopopolo)) that the `rand` library is [unsound](https://rust-lang.github.io/unsafe-code-guidelines/glossary.html#soundness-of-code--of-a-library) (i.e. that safe code using the public API can cause Undefined Behaviour) when all the following conditions are met:
      
      - The `log` and `thread_rng` features are enabled
      - A [custom logger](https://docs.rs/log/latest/log/#implementing-a-logger) is defined
      - The custom logger accesses `rand::rng()` (previously `rand::thread_rng()`) and calls any `TryRng` (previously `RngCore`) methods on `ThreadRng`
      - The `ThreadRng` (attempts to) reseed while called from the custom logger (this happens every 64 kB of generated data)
      - Trace-level logging is enabled or warn-level logging is enabled and the random source (the `getrandom` crate) is unable to provide a new seed
      
      `TryRng` (previously `RngCore`) methods for `ThreadRng` use `unsafe` code to cast `*mut BlockRng<ReseedingCore>` to `&mut BlockRng<ReseedingCore>`. When all the above conditions are met this results in an aliased mutable reference, violating the Stacked Borrows rules. Miri is able to detect this violation in sample code. Since construction of [aliased mutable references is Undefined Behaviour](https://doc.rust-lang.org/stable/nomicon/references.html), the behaviour of optimized builds is hard to predict.
    ├ Announcement: https://github.com/rust-random/rand/pull/1763
    ├ Solution: Upgrade to >=0.10.1 OR <0.10.0, >=0.9.3 OR <0.9.0, >=0.8.6 (try `cargo update -p rand`)
    ├ rand v0.8.5
      ├── (dev) libdd-common v5.2.0
      │   ├── libdd-capabilities-impl v4.0.0
      │   │   └── libdd-remote-config v4.0.0
      │   │       └── (dev) libdd-remote-config v4.0.0 (*)
      │   └── libdd-remote-config v4.0.0 (*)
      └── proptest v1.5.0
          └── (dev) libdd-common v5.2.0 (*)

error[vulnerability]: Denial of Service via Stack Exhaustion
    ┌─ /home/runner/work/libdatadog/libdatadog/Cargo.lock:146:1
    │
146 │ time 0.3.41 registry+https://github.com/rust-lang/crates.io-index
    │ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ security vulnerability detected
    │
    ├ ID: RUSTSEC-2026-0009
    ├ Advisory: https://rustsec.org/advisories/RUSTSEC-2026-0009
    ├ ## Impact
      
      When user-provided input is provided to any type that parses with the RFC 2822 format, a denial of
      service attack via stack exhaustion is possible. The attack relies on formally deprecated and
      rarely-used features that are part of the RFC 2822 format used in a malicious manner. Ordinary,
      non-malicious input will never encounter this scenario.
      
      ## Patches
      
      A limit to the depth of recursion was added in v0.3.47. From this version, an error will be returned
      rather than exhausting the stack.
      
      ## Workarounds
      
      Limiting the length of user input is the simplest way to avoid stack exhaustion, as the amount of
      the stack consumed would be at most a factor of the length of the input.
    ├ Announcement: https://github.com/time-rs/time/blob/main/CHANGELOG.md#0347-2026-02-05
    ├ Solution: Upgrade to >=0.3.47 (try `cargo update -p time`)
    ├ time v0.3.41
      └── libdd-remote-config v4.0.0
          └── (dev) libdd-remote-config v4.0.0 (*)

advisories FAILED, bans ok, sources ok

Updated: 2026-09-04 18:08:01 UTC | Commit: c5ea893 | dependency-check job results

BridgeAR · 2026-09-04T16:26:34Z

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

datadog-prod-us1-5

More details

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

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datadog-prod-us1-5 · 2026-09-04T16:31:45Z

✅ All CI checks and tests passed.

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• Overall Coverage: 77.06% (-0.01%)

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dd-octo-sts · 2026-09-04T16:43:55Z

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.so	11.38 MB	11.38 MB	0% (0 B) 👌
/aarch64-unknown-linux-gnu/lib/libdatadog_profiling.a	102.61 MB	102.61 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	185.41 MB	185.41 MB	+0% (+8.00 KB) 👌
/libdatadog-x64-windows/debug/static/datadog_profiling_ffi.lib	803.94 MB	803.94 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	190.45 MB	0% (0 B) 👌
/libdatadog-x86-windows/debug/static/datadog_profiling_ffi.lib	786.99 MB	786.99 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	28.19 MB	28.18 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()

bwoebi

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

fix(remote-config): refresh fetcher identity

5d495df

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)

BridgeAR marked this pull request as ready for review September 4, 2026 16:26

BridgeAR requested review from a team as code owners September 4, 2026 16:26

datadog-prod-us1-5 Bot reviewed Sep 4, 2026

View reviewed changes

Fully drop unneeded Arc

0e3783a

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

bwoebi approved these changes Sep 4, 2026

View reviewed changes

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

fix(remote-config): refresh fetcher identity#2469
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📚 Documentation Check Results

📦 libdd-remote-config - 682 warning(s)

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🔒 Cargo Deny Results

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