Bump github.com/DataDog/watermarkpodautoscaler from 0.5.3-0.20241023200123-ab786c1724cf to 0.9.0-rc.1 #31675
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Bumps [github.com/DataDog/watermarkpodautoscaler](https://github.com/DataDog/watermarkpodautoscaler) from 0.5.3-0.20241023200123-ab786c1724cf to 0.9.0-rc.1. - [Release notes](https://github.com/DataDog/watermarkpodautoscaler/releases) - [Changelog](https://github.com/DataDog/watermarkpodautoscaler/blob/main/.goreleaser-for-linux.yaml) - [Commits](https://github.com/DataDog/watermarkpodautoscaler/commits/v0.9.0-rc.1) --- updated-dependencies: - dependency-name: github.com/DataDog/watermarkpodautoscaler dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]>
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Regression DetectorRegression Detector ResultsMetrics dashboard Baseline: be4b703 Optimization Goals: ❌ Significant changes detected
|
| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links |
|---|---|---|---|---|---|---|
| ➖ | quality_gate_logs | % cpu utilization | +2.02 | [-0.92, +4.96] | 1 | Logs |
| ➖ | quality_gate_idle_all_features | memory utilization | +1.91 | [+1.77, +2.04] | 1 | Logs bounds checks dashboard |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.34 | [-0.39, +1.08] | 1 | Logs |
| ➖ | file_tree | memory utilization | +0.12 | [-0.04, +0.27] | 1 | Logs |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.05 | [-0.01, +0.12] | 1 | Logs |
| ➖ | file_to_blackhole_0ms_latency | egress throughput | +0.03 | [-0.80, +0.86] | 1 | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | 1 | Logs |
| ➖ | file_to_blackhole_300ms_latency | egress throughput | -0.01 | [-0.64, +0.62] | 1 | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | -0.01 | [-0.12, +0.10] | 1 | Logs |
| ➖ | file_to_blackhole_100ms_latency | egress throughput | -0.03 | [-0.75, +0.68] | 1 | Logs |
| ➖ | otel_to_otel_logs | ingress throughput | -0.07 | [-0.76, +0.62] | 1 | Logs |
| ➖ | file_to_blackhole_500ms_latency | egress throughput | -0.09 | [-0.87, +0.69] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.12 | [-0.90, +0.67] | 1 | Logs |
| ➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.27 | [-0.73, +0.19] | 1 | Logs |
| ➖ | quality_gate_idle | memory utilization | -0.52 | [-0.59, -0.45] | 1 | Logs bounds checks dashboard |
| ➖ | pycheck_lots_of_tags | % cpu utilization | -1.67 | [-5.12, +1.79] | 1 | Logs |
| ✅ | basic_py_check | % cpu utilization | -5.40 | [-9.23, -1.58] | 1 | Logs |
Bounds Checks: ❌ Failed
| perf | experiment | bounds_check_name | replicates_passed | links |
|---|---|---|---|---|
| ❌ | quality_gate_idle_all_features | memory_usage | 9/10 | bounds checks dashboard |
| ❌ | quality_gate_logs | memory_usage | 9/10 | |
| ✅ | file_to_blackhole_0ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_0ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_1000ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_1000ms_latency_linear_load | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_100ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_100ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_300ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_300ms_latency | memory_usage | 10/10 | |
| ✅ | file_to_blackhole_500ms_latency | lost_bytes | 10/10 | |
| ✅ | file_to_blackhole_500ms_latency | memory_usage | 10/10 | |
| ✅ | quality_gate_idle | memory_usage | 10/10 | bounds checks dashboard |
| ✅ | quality_gate_logs | lost_bytes | 10/10 |
Explanation
Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%
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
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".
CI Pass/Fail Decision
❌ Failed. Some Quality Gates were violated.
- quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
- quality_gate_idle_all_features, bounds check memory_usage: 9/10 replicas passed. Failed 1 which is > 0. Gate FAILED.
- quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
- quality_gate_logs, bounds check memory_usage: 9/10 replicas passed. Failed 1 which is > 0. Gate FAILED.
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Bumps github.com/DataDog/watermarkpodautoscaler from 0.5.3-0.20241023200123-ab786c1724cf to 0.9.0-rc.1.
Release notes
Sourced from github.com/DataDog/watermarkpodautoscaler's releases.
... (truncated)
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