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Bump github.com/aws/aws-sdk-go-v2/service/eks from 1.35.1 to 1.39.0 in /test/new-e2e
Bumps github.com/aws/aws-sdk-go-v2/service/eks from 1.35.1 to 1.39.0.
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807c921Release 2023-09-2039b991dRegenerated Clientsb1d6dafUpdate endpoints model5771d22Update API model7143703Release 2023-09-191803c87Regenerated Clients228b865Update endpoints modelf416d66Update API modelf0b396eRelease 2023-09-185389625Regenerated Clients- Additional commits viewable in compare view
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Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 94882d2f-302d-4c9a-81f5-de234b03da13 Baseline: e45cfd9d3f80dbd35ac5cf838ad27c78c3006b6d Comparison: 7615772605b9b3c49d0efaa0264be45efbbe18fd
Performance changes are noted in the perf column of each table:
- ✅ = significantly better comparison variant performance
- ❌ = significantly worse comparison variant performance
- ➖ = no significant change in performance
Experiments with missing or malformed data
- basic_py_check
Usually, this warning means that there is no usable optimization goal data for that experiment, which could be a result of misconfiguration.
No significant changes in experiment optimization goals
Confidence level: 90.00% Effect size tolerance: |Δ mean %| ≥ 5.00%
There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.
Experiments ignored for regressions
Regressions in experiments with settings containing erratic: true are ignored.
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | file_to_blackhole | % cpu utilization | +0.20 | [-6.41, +6.82] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | process_agent_real_time_mode | memory utilization | +1.12 | [+1.07, +1.16] |
| ➖ | idle | memory utilization | +0.66 | [+0.62, +0.71] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | +0.20 | [+0.18, +0.23] |
| ➖ | file_to_blackhole | % cpu utilization | +0.20 | [-6.41, +6.82] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.05 | [-0.01, +0.11] |
| ➖ | trace_agent_json | ingress throughput | +0.01 | [-0.02, +0.03] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.00, +0.00] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.00, +0.00] |
| ➖ | trace_agent_msgpack | ingress throughput | -0.01 | [-0.02, -0.01] |
| ➖ | process_agent_standard_check | memory utilization | -0.21 | [-0.26, -0.16] |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.21 | [-1.63, +1.21] |
| ➖ | file_tree | memory utilization | -0.59 | [-0.71, -0.47] |
| ➖ | otel_to_otel_logs | ingress throughput | -0.75 | [-1.39, -0.11] |
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:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
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.
-
Its configuration does not mark it "erratic".
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