Disable otel_to_otel_logs

[blt]

We've noticed an increase in timeouts for this experiment. While SMP
investigates, disable the experiment generally allowing other Regression
Detector runs to complete in a reasonable time.

REF SMPTNG-520

[blt]

• Disable otel_to_otel_logs #30781 👈
• main

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[blt]

/merge

[dd-devflow]

🚂 MergeQueue: waiting for PR to be ready

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[agent-platform-auto-pr]

[Fast Unit Tests Report]

On pipeline 48309049 (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

[dd-devflow]

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 22m.

Use /merge -c to cancel this operation!

[blt]

Merge activity

• Nov 5, 2:10 PM EST: Graphite couldn't merge this PR because it failed for an unknown reason.

[cit-pr-commenter]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 20e0f304-571c-4c72-8812-d3e4b99ed282

Baseline: 4314c5f
Comparison: 019f632
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	file_tree	memory utilization	+1.17	[+1.04, +1.31]	1	Logs
➖	basic_py_check	% cpu utilization	+1.01	[-2.84, +4.85]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	+0.19	[-0.07, +0.44]	1	Logs
➖	quality_gate_idle	memory utilization	+0.18	[+0.12, +0.23]	1	Logs bounds checks dashboard
➖	file_to_blackhole_1000ms_latency	egress throughput	+0.01	[-0.48, +0.51]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	+0.01	[-0.33, +0.34]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	+0.00	[-0.01, +0.01]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.00	[-0.09, +0.09]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	-0.00	[-0.23, +0.22]	1	Logs
➖	file_to_blackhole_300ms_latency	egress throughput	-0.00	[-0.18, +0.17]	1	Logs
➖	idle	memory utilization	-0.01	[-0.06, +0.04]	1	Logs bounds checks dashboard
➖	quality_gate_idle_all_features	memory utilization	-0.04	[-0.14, +0.06]	1	Logs bounds checks dashboard
➖	idle_all_features	memory utilization	-0.46	[-0.56, -0.35]	1	Logs bounds checks dashboard
➖	tcp_syslog_to_blackhole	ingress throughput	-0.89	[-0.94, -0.84]	1	Logs
➖	uds_dogstatsd_to_api_cpu	% cpu utilization	-1.09	[-1.82, -0.37]	1	Logs
➖	pycheck_lots_of_tags	% cpu utilization	-1.28	[-4.83, +2.26]	1	Logs

Bounds Checks: ❌ Failed

perf	experiment	bounds_check_name	replicates_passed	links
❌	file_to_blackhole_300ms_latency	memory_usage	9/10
✅	file_to_blackhole_0ms_latency	memory_usage	10/10
✅	file_to_blackhole_1000ms_latency	memory_usage	10/10
✅	file_to_blackhole_100ms_latency	memory_usage	10/10
✅	file_to_blackhole_500ms_latency	memory_usage	10/10
✅	idle	memory_usage	10/10	bounds checks dashboard
✅	idle_all_features	memory_usage	10/10	bounds checks dashboard
✅	quality_gate_idle	memory_usage	10/10	bounds checks dashboard
✅	quality_gate_idle_all_features	memory_usage	10/10	bounds checks dashboard

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".

[dd-devflow]

❌ MergeQueue: The build pipeline contains failing jobs for this merge request

Build pipeline has failing jobs for 71c51b5:

• tests_macos

⚠️ Do NOT retry failed jobs directly (why?).

What to do next?

• Investigate the failures and when ready, re-add your pull request to the queue!
• Any question, go check the FAQ.

Details

Since those jobs are not marked as being allowed to fail, the pipeline will most likely fail.
Therefore, and to allow other builds to be processed, this merge request has been rejected and the pipeline got canceled.

If you need support, contact us on Slack #devflow with those details!

[blt]

/merge

[dd-devflow]

🚂 MergeQueue: waiting for PR to be ready

This merge request is not mergeable yet, because of pending checks/missing approvals. It will be added to the queue as soon as checks pass and/or get approvals.
Note: if you pushed new commits since the last approval, you may need additional approval.
You can remove it from the waiting list with /remove command.

Use /merge -c to cancel this operation!

[dd-devflow]

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 22m.

Use /merge -c to cancel this operation!