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Bump github.com/DataDog/agent-payload/v5 from 5.0.103-0.20240118142331-3069f58aa284 to 5.0.103 in /test/new-e2e
Bumps github.com/DataDog/agent-payload/v5 from 5.0.103-0.20240118142331-3069f58aa284 to 5.0.103.
Release notes
Sourced from github.com/DataDog/agent-payload/v5's releases.
v5.0.103
What's Changed
- [CONTINT-3744] [sbom] Add a
repo_digestsfield for the repo digests by@L3n41cin DataDog/agent-payload#283Full Changelog: https://github.com/DataDog/agent-payload/compare/v5.0.102...v5.0.103
Commits
- See full diff in compare view
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Bloop Bleep... Dogbot Here
Regression Detector Results
Run ID: d2b8d438-b424-4d09-9f05-7013fee15616 Baseline: 3814fa736313d1af24e99f3254bd8a57658971e8 Comparison: eb7a58058999ae82ab9d5334233734f9ea88e3eb Total CPUs: 7
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 | +0.96 | [-5.64, +7.55] |
Fine details of change detection per experiment
| perf | experiment | goal | Δ mean % | Δ mean % CI |
|---|---|---|---|---|
| ➖ | file_to_blackhole | % cpu utilization | +0.96 | [-5.64, +7.55] |
| ➖ | file_tree | memory utilization | +0.59 | [+0.50, +0.68] |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.58 | [-0.84, +2.01] |
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.52 | [+0.46, +0.58] |
| ➖ | process_agent_real_time_mode | memory utilization | +0.29 | [+0.25, +0.33] |
| ➖ | otel_to_otel_logs | ingress throughput | +0.10 | [-0.51, +0.72] |
| ➖ | trace_agent_json | ingress throughput | +0.07 | [+0.03, +0.12] |
| ➖ | trace_agent_msgpack | ingress throughput | +0.01 | [-0.00, +0.02] |
| ➖ | 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] |
| ➖ | process_agent_standard_check_with_stats | memory utilization | -0.26 | [-0.29, -0.23] |
| ➖ | process_agent_standard_check | memory utilization | -0.35 | [-0.39, -0.31] |
| ➖ | idle | memory utilization | -0.63 | [-0.66, -0.59] |
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".
@dependabot recreate
Looks like github.com/DataDog/agent-payload/v5 is up-to-date now, so this is no longer needed.