service discovery: Add usm to the CODEOWNERS #27874
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[Fast Unit Tests Report] On pipeline 39910655 (CI Visibility). The following jobs did not run any unit tests: Jobs:
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Regression DetectorRegression Detector ResultsRun ID: db71f608-7ea7-46ff-91bd-fb719c5b213a Metrics dashboard Target profiles Baseline: 386130a Performance changes are noted in the perf column of each table:
No significant changes in experiment optimization goalsConfidence level: 90.00% There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.
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| perf | experiment | goal | Δ mean % | Δ mean % CI | links |
|---|---|---|---|---|---|
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +2.81 | [-10.04, +15.66] | Logs |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +1.52 | [+0.64, +2.41] | Logs |
| ➖ | idle | memory utilization | +0.61 | [+0.57, +0.65] | Logs |
| ➖ | otel_to_otel_logs | ingress throughput | +0.04 | [-0.78, +0.85] | Logs |
| ➖ | file_tree | memory utilization | +0.02 | [-0.08, +0.12] | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.00, +0.00] | Logs |
| ➖ | basic_py_check | % cpu utilization | -0.53 | [-3.06, +2.00] | Logs |
| ➖ | pycheck_1000_100byte_tags | % cpu utilization | -2.63 | [-7.42, +2.15] | Logs |
Explanation
A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".
For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:
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Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.
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Its configuration does not mark it "erratic".
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/merge |
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What does this PR do?
Adds USM to the ownership of servicediscovery
Motivation
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes