[CI/Tooling] Remove Windows 32 bits usecase in the invoke tasks
What does this PR do?
This PR removes the Windows 32 bits usecase in the invoke tasks.
Motivation
Follow-up of #21221. The Agent does not support Windows 32 bits.
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Reviewer's Checklist
- [ ] If known, an appropriate milestone has been selected; otherwise the
Triagemilestone is set. - [ ] Use the
major_changelabel if your change either has a major impact on the code base, is impacting multiple teams or is changing important well-established internals of the Agent. This label will be use during QA to make sure each team pay extra attention to the changed behavior. For any customer facing change use a releasenote. - [ ] A release note has been added or the
changelog/no-changeloglabel has been applied. - [ ] Changed code has automated tests for its functionality.
- [ ] Adequate QA/testing plan information is provided if the
qa/skip-qalabel is not applied. - [ ] At least one
team/..label has been applied, indicating the team(s) that should QA this change. - [ ] If applicable, docs team has been notified or an issue has been opened on the documentation repo.
- [ ] If applicable, the
need-change/operatorandneed-change/helmlabels have been applied. - [ ] If applicable, the
k8s/<min-version>label, indicating the lowest Kubernetes version compatible with this feature. - [ ] If applicable, the config template has been updated.
Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: 4cccc54c-67b3-4d25-825c-8827b933041e Baseline: 8d536e589b0f57cd6f433e1d86e010e2bebedcfe Comparison: ee49c4dd92f25f6e1c6876a29528c8358aac4feb Total CPUs: 7
Performance changes are noted in the perf column of each table:
- ✅ denotes better comparison variant performance
- ❌ denotes worse comparison variant performance
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".
No interesting changes in experiment optimization goals with confidence ≥ 90.00% and |Δ mean %| ≥ 5.00%.
Declared stable experiments that are now erratic
An experiment is erratic (i.e., not stable) if its coefficient of variation is at least 0.10.
| perf | experiment | goal | Δ mean % | Δ mean % CI | confidence |
|---|---|---|---|---|---|
| ✅ | otel_to_otel_logs | ingress throughput | +1.16 | [+0.47, +1.86] | 99.39% |
Experiments with missing or malformed data
- idle
Usually, this warning means that there is no usable optimization goal data for that experiment, which could be a result of misconfiguration.
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI | confidence |
|---|---|---|---|---|---|
| ✅ | otel_to_otel_logs | ingress throughput | +1.16 | [+0.47, +1.86] | 99.39% |
| ✅ | file_to_blackhole | egress throughput | +0.01 | [-6.15, +6.18] | 0.25% |
| ❌ | trace_agent_msgpack | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_64MiB_100 | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | trace_agent_json | ingress throughput | +0.00 | [-0.01, +0.01] | 0.00% |
| ❌ | dogstatsd_string_interner_8MiB_100 | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_128MiB_1k | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_8MiB_10k | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_8MiB_50k | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_8MiB_1k | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_64MiB_1k | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_128MiB_100 | ingress throughput | +0.00 | [-0.00, +0.00] | 0.00% |
| ❌ | dogstatsd_string_interner_8MiB_100k | ingress throughput | -0.00 | [-0.04, +0.03] | 13.56% |
| ❌ | tcp_syslog_to_blackhole | ingress throughput | -0.09 | [-0.15, -0.03] | 98.25% |
| ❌ | file_tree | egress throughput | -0.19 | [-1.97, +1.59] | 13.97% |
Regression Detector
Regression Detector Results
Run ID: 048fc903-83d8-4dd1-8501-b44eaf8626d3 Baseline: 213682e97e1b6a265c00b46e6f66874d939d434a Comparison: 22cf26144b1b1eac6e7f4ec13287bde6845f2542
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.
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | pycheck_1000_100byte_tags | % cpu utilization | +1.60 | [-3.37, +6.56] |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.20, +0.20] |
| ➖ | trace_agent_json | ingress throughput | +0.00 | [-0.01, +0.01] |
| ➖ | trace_agent_msgpack | ingress throughput | +0.00 | [-0.00, +0.00] |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.04, +0.04] |
| ➖ | otel_to_otel_logs | ingress throughput | -0.00 | [-0.36, +0.35] |
| ➖ | idle | memory utilization | -0.13 | [-0.16, -0.10] |
| ➖ | file_tree | memory utilization | -0.53 | [-0.63, -0.44] |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.57 | [-3.34, +2.21] |
| ➖ | basic_py_check | % cpu utilization | -1.88 | [-4.26, +0.51] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | -2.52 | [-23.52, +18.49] |
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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