[test-infra-definitions][automated] Bump test-infra-definitions to 81094fa60efe033ed1000b113b2fc8be31e337cd

[agent-platform-auto-pr[bot]]

This PR was automatically created by the test-infra-definitions bump task.

This PR bumps the test-infra-definitions submodule to 81094fa60efe033ed1000b113b2fc8be31e337cd from 992f221157aa. Here is the full changelog between the two commits: https://github.com/DataDog/test-infra-definitions/compare/992f221157aa...81094fa60efe033ed1000b113b2fc8be31e337cd

:warning: This PR is opened with the qa/no-code-change and changelog/no-changelog labels by default. Please make sure this is appropriate

[FlorentClarret]

/merge

[dd-devflow[bot]]

:steam_locomotive: MergeQueue: pull request added to the queue

The median merge time in main is 25m.

Use /merge -c to cancel this operation!

[FlorentClarret]

/merge -c

[dd-devflow[bot]]

:warning: MergeQueue: This merge request build was cancelled

This merge request build was cancelled

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

[pr-commenter[bot]]

Regression Detector

Regression Detector Results

Run ID: ebc19a7b-42d0-4b7c-aa7e-4775feeb0637 Metrics dashboard Target profiles

Baseline: 11de985fe0482f66fd4ba1bdc3cbe213a5e0d7ed Comparison: 379938b2b92ca581e9a3000b38eb0c4f90dbe566

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 | links | |------|----------------------------|--------------------|----------|-----------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ➖ | pycheck_1000_100byte_tags | % cpu utilization | +3.15 | [-1.75, +8.05] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Apycheck_1000_100byte_tags%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | basic_py_check | % cpu utilization | +0.70 | [-1.91, +3.30] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Abasic_py_check%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | +0.31 | [-0.59, +1.21] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api_cpu%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | otel_to_otel_logs | ingress throughput | +0.26 | [-0.55, +1.07] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aotel_to_otel_logs%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | idle | memory utilization | +0.15 | [+0.12, +0.19] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aidle%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_dd_logs_filter_exclude%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | uds_dogstatsd_to_api | ingress throughput | -0.00 | [-0.00, +0.00] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | file_tree | memory utilization | -0.41 | [-0.45, -0.36] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_tree%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) | | ➖ | tcp_syslog_to_blackhole | ingress throughput | -3.39 | [-15.96, +9.19] | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_syslog_to_blackhole%20run_id%3Aebc19a7b-42d0-4b7c-aa7e-4775feeb0637&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1719922993000&to_ts=1719934393000&live=false) |

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: 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".

[FlorentClarret]

/merge

[dd-devflow[bot]]

:steam_locomotive: MergeQueue: pull request added to the queue

The median merge time in main is 25m.

Use /merge -c to cancel this operation!