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Enable device scan command #29553

Merged
merged 4 commits into from
Oct 10, 2024
Merged

Enable device scan command #29553

merged 4 commits into from
Oct 10, 2024

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NouhaManai96
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What does this PR do?

Enable device scan command

Motivation

Enable device scan command

Describe how to test/QA your changes

Simply running agent snmp scan --help should return the command help.
You can also try doing an actual scan with agent snmp scan <ipaddress>[:port] [flags].

Possible Drawbacks / Trade-offs

Additional Notes

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pr-commenter bot commented Sep 24, 2024

Test changes on VM

Use this command from test-infra-definitions to manually test this PR changes on a VM:

inv create-vm --pipeline-id=46292309 --os-family=ubuntu

Note: This applies to commit de2d141

@NouhaManai96 NouhaManai96 marked this pull request as ready for review September 24, 2024 20:22
@NouhaManai96 NouhaManai96 requested review from a team as code owners September 24, 2024 20:22
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@urseberry urseberry left a comment

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capitalization nit

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@dplepage-dd dplepage-dd left a comment

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I don't think we want a changelog entry since it's a hidden feature; this PR may also be unnecessary given Florian's #29148, which provides the command via the dependency injector and does mark it as hidden

@NouhaManai96 NouhaManai96 changed the base branch from nouha/debug-command to main October 10, 2024 09:59
@NouhaManai96 NouhaManai96 marked this pull request as draft October 10, 2024 11:32
@NouhaManai96 NouhaManai96 force-pushed the nouha/enable-device-scan branch 2 times, most recently from da67a53 to 46beb89 Compare October 10, 2024 11:39
@NouhaManai96 NouhaManai96 marked this pull request as ready for review October 10, 2024 11:49
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cit-pr-commenter bot commented Oct 10, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 087fb584-2d5d-4a68-a8ce-78721624afb8

Baseline: a2bbdf1
Comparison: de2d141

Regression Detector: ✅

Bounds Checks: ✅

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 +1.79 [-2.19, +5.77] 1 Logs
pycheck_lots_of_tags % cpu utilization +1.28 [-2.28, +4.84] 1 Logs
tcp_syslog_to_blackhole ingress throughput +1.07 [+1.00, +1.14] 1 Logs
idle memory utilization +0.79 [+0.75, +0.84] 1 Logs
file_tree memory utilization +0.16 [+0.05, +0.27] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.12 [-0.37, +0.61] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.04 [-0.20, +0.29] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.01 [-0.21, +0.23] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.00 [-0.10, +0.11] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.02 [-0.36, +0.32] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.04 [-0.22, +0.13] 1 Logs
otel_to_otel_logs ingress throughput -0.30 [-1.11, +0.51] 1 Logs
idle_all_features memory utilization -0.47 [-0.56, -0.38] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -3.34 [-4.05, -2.64] 1 Logs

Bounds Checks Passed

perf experiment bounds_check_name replicates_passed links
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_300ms_latency memory_usage 10/10
file_to_blackhole_500ms_latency memory_usage 10/10
idle memory_usage 10/10

Explanation

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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dd-devflow bot commented Oct 10, 2024

⚠️ Devflow: /mergex

Action not found: mergex

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

@NouhaManai96
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/merge

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dd-devflow bot commented Oct 10, 2024

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 26m.

Use /merge -c to cancel this operation!

@dd-mergequeue dd-mergequeue bot merged commit 206e038 into main Oct 10, 2024
206 of 207 checks passed
@dd-mergequeue dd-mergequeue bot deleted the nouha/enable-device-scan branch October 10, 2024 19:54
@github-actions github-actions bot added this to the 7.60.0 milestone Oct 10, 2024
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5 participants