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Bump golang from 1.22.8-alpine3.20 to 1.23.3-alpine3.20 in /test/fakeintake #30958

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@dependabot dependabot bot commented on behalf of github Nov 11, 2024

Bumps golang from 1.22.8-alpine3.20 to 1.23.3-alpine3.20.

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Bumps golang from 1.22.8-alpine3.20 to 1.23.3-alpine3.20.

---
updated-dependencies:
- dependency-name: golang
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot bot requested a review from a team as a code owner November 11, 2024 20:38
@dependabot dependabot bot added qa/no-code-change No code change in Agent code requiring validation team/agent-e2e-test labels Nov 11, 2024
@dependabot dependabot bot requested a review from a team as a code owner November 11, 2024 20:38
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Nov 11, 2024
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[Fast Unit Tests Report]

On pipeline 48744518 (CI Visibility). The following jobs did not run any unit tests:

Jobs:
  • tests_deb-arm64-py3
  • tests_deb-x64-py3
  • tests_flavor_dogstatsd_deb-x64
  • tests_flavor_heroku_deb-x64
  • tests_flavor_iot_deb-x64
  • tests_rpm-arm64-py3
  • tests_rpm-x64-py3
  • tests_windows-x64

If you modified Go files and expected unit tests to run in these jobs, please double check the job logs. If you think tests should have been executed reach out to #agent-devx-help

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 1291421a-a840-4a42-a5a6-83fd3e5ca7d8

Baseline: 958c609
Comparison: cc70e79
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
pycheck_lots_of_tags % cpu utilization +1.52 [-1.91, +4.96] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.17 [-0.33, +0.66] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.07 [-0.17, +0.32] 1 Logs
otel_to_otel_logs ingress throughput +0.07 [-0.61, +0.75] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.01 [-0.11, +0.13] 1 Logs
file_to_blackhole_0ms_latency egress throughput +0.00 [-0.47, +0.47] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.01 [-0.31, +0.30] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.01 [-0.21, +0.19] 1 Logs
quality_gate_idle memory utilization -0.12 [-0.17, -0.06] 1 Logs bounds checks dashboard
tcp_syslog_to_blackhole ingress throughput -0.29 [-0.34, -0.24] 1 Logs
file_tree memory utilization -0.72 [-0.88, -0.57] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -0.80 [-1.52, -0.08] 1 Logs
quality_gate_idle_all_features memory utilization -1.02 [-1.16, -0.89] 1 Logs bounds checks dashboard
basic_py_check % cpu utilization -2.15 [-5.81, +1.51] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
quality_gate_idle memory_usage 4/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 5/10 bounds checks dashboard
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_100ms_latency lost_bytes 10/10
file_to_blackhole_100ms_latency memory_usage 10/10
file_to_blackhole_300ms_latency memory_usage 10/10
file_to_blackhole_500ms_latency memory_usage 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:

  1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

  2. 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.

  3. Its configuration does not mark it "erratic".

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