Add missing go mod in modules list
What does this PR do?
Add some missing Go mod in the modules list.
Motivation
Avoid weird states or errors due to missing modules with automations.
Additional Notes
I thought it would be a trivial fix but it ended up requiring some more changes to please the CI.
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: a27eb479-86f8-4705-af43-4079d65e01ba Baseline: 7550117fa81ba6c32ed04d82e1fa3d99f30b79f7 Comparison: b17179866ed86cf1ef504c5605bfba3a3e4e11b0
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 | +0.24 | [-6.33, +6.81] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | idle | memory utilization | +0.73 | [+0.68, +0.78] |
| ➖ | process_agent_standard_check | memory utilization | +0.70 | [+0.66, +0.74] |
| ➖ | file_tree | memory utilization | +0.54 | [+0.42, +0.67] |
| ➖ | otel_to_otel_logs | ingress throughput | +0.27 | [-0.34, +0.89] |
| ➖ | file_to_blackhole | % cpu utilization | +0.24 | [-6.33, +6.81] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.07 | [+0.01, +0.13] |
| ➖ | trace_agent_json | ingress throughput | +0.00 | [-0.03, +0.03] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.00, +0.00] |
| ➖ | trace_agent_msgpack | ingress throughput | -0.00 | [-0.02, +0.01] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | -0.05 | [-0.09, -0.01] |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.25 | [-1.69, +1.20] |
| ➖ | process_agent_real_time_mode | memory utilization | -0.37 | [-0.42, -0.32] |
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".
/merge
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