[CONTINT-3931] Clean SBOM cache enabled option
What does this PR do?
This PR cleans the SBOM cache enabled option and does some cleanup in the SBOM cache code. It removes many layers of abstraction.
Motivation
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Enable SBOM collection of container images on helm with and without this option. Make sure that SBOMs are collected properly.
Note: we could not test without this option for now as it is already broken on main.
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: d83d9450-d653-4896-b36e-3210ee62b36c Baseline: 25972295ec1c7c4230a31628d38b3e89bd852a32 Comparison: 843ac57700a3c22dfcf41c9823741abfcbceaf86
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
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 | +0.96 | [-5.65, +7.57] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | basic_py_check | % cpu utilization | +2.06 | [-0.34, +4.47] |
| ➖ | file_to_blackhole | % cpu utilization | +0.96 | [-5.65, +7.57] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | +0.75 | [+0.71, +0.78] |
| ➖ | idle | memory utilization | +0.39 | [+0.35, +0.42] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.33 | [+0.23, +0.44] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.20, +0.20] |
| ➖ | otel_to_otel_logs | ingress throughput | -0.00 | [-0.40, +0.40] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] |
| ➖ | trace_agent_msgpack | ingress throughput | -0.02 | [-0.03, -0.01] |
| ➖ | trace_agent_json | ingress throughput | -0.02 | [-0.05, +0.00] |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.05 | [-2.92, +2.83] |
| ➖ | process_agent_standard_check | memory utilization | -0.06 | [-0.10, -0.03] |
| ➖ | process_agent_real_time_mode | memory utilization | -0.20 | [-0.23, -0.16] |
| ➖ | file_tree | memory utilization | -0.45 | [-0.51, -0.39] |
| ➖ | pycheck_1000_100byte_tags | % cpu utilization | -0.76 | [-5.96, +4.45] |
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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