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omnibus: Factorize environment variables forwarding #29476

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merged 2 commits into from
Sep 20, 2024

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chouquette
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What does this PR do?

Factorize the way we forward environment variables to omnibus

Motivation

We'll likely add more in the future, and we can make it simpler to do so

Describe how to test/QA your changes

Possible Drawbacks / Trade-offs

Additional Notes

@chouquette chouquette added changelog/no-changelog qa/no-code-change Skip QA week as there is no code change in Agent code team/agent-delivery labels Sep 20, 2024
@chouquette chouquette requested a review from a team as a code owner September 20, 2024 20:45
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[Fast Unit Tests Report]

On pipeline 44840031 (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

@chouquette
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/merge

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dd-devflow bot commented Sep 20, 2024

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 23m.

Use /merge -c to cancel this operation!

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pr-commenter bot commented Sep 20, 2024

Regression Detector

Regression Detector Results

Run ID: 95fae5df-6b4c-49f7-adbe-f1db07f40400 Metrics dashboard Target profiles

Baseline: 4673873
Comparison: 05095c9

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 trials links
basic_py_check % cpu utilization +0.79 [-1.89, +3.47] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.69 [+0.64, +0.74] 1 Logs
file_tree memory utilization +0.00 [-0.11, +0.11] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.01, +0.01] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.01 [-0.09, +0.07] 1 Logs
idle memory utilization -0.24 [-0.29, -0.19] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -0.33 [-1.07, +0.42] 1 Logs
otel_to_otel_logs ingress throughput -0.61 [-1.41, +0.20] 1 Logs
pycheck_lots_of_tags % cpu utilization -1.38 [-3.83, +1.07] 1 Logs

Bounds Checks

perf experiment bounds_check_name replicates_passed
idle memory_usage 10/10

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".

@dd-mergequeue dd-mergequeue bot merged commit b97517a into main Sep 20, 2024
242 of 244 checks passed
@dd-mergequeue dd-mergequeue bot deleted the chouquette/factorize_omnibus_env branch September 20, 2024 21:56
@github-actions github-actions bot added this to the 7.59.0 milestone Sep 20, 2024
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2 participants