datadog-agent
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[SNMP] Ping instance config should override init_config settings
What does this PR do?
Fixes behavior where init_config for ping would override any instance level config set for a device. It should be the other way around, e.g. if ping is generally enabled at the init_config level, but an instance has ping disabled, that instance should have ping disabled. Before this change, it would still be enabled.
Motivation
Noticed the behavior during some local testing. While this behavior is technically valid, it's at odds with the way other configs inside the SNMP integration work today.
Additional Notes
Possible Drawbacks / Trade-offs
Describe how to test/QA your changes
Codecov Report
All modified and coverable lines are covered by tests :white_check_mark:
Project coverage is 50.52%. Comparing base (
fb139ec) to head (3450a0e). Report is 33 commits behind head on main.
Additional details and impacted files
@@ Coverage Diff @@
## main #26348 +/- ##
===========================================
+ Coverage 44.96% 50.52% +5.55%
===========================================
Files 2353 108 -2245
Lines 272670 9940 -262730
===========================================
- Hits 122614 5022 -117592
+ Misses 140385 4745 -135640
+ Partials 9671 173 -9498
| Flag | Coverage Δ | |
|---|---|---|
| amzn_aarch64 | 50.55% <100.00%> (+4.75%) |
:arrow_up: |
| centos_x86_64 | 50.59% <100.00%> (+4.87%) |
:arrow_up: |
| ubuntu_aarch64 | 50.55% <100.00%> (+4.74%) |
:arrow_up: |
| ubuntu_x86_64 | 50.59% <100.00%> (+4.78%) |
:arrow_up: |
| windows_amd64 | 55.79% <100.00%> (+4.99%) |
:arrow_up: |
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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=38600708 --os-family=ubuntu
Note: This applies to commit 26ba128d
/merge
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Regression Detector
Regression Detector Results
Run ID: dd8d27fa-1296-489e-af94-0caed4002cee Metrics dashboard Target profiles
Baseline: b094406496ccd67c6381106392a96921ed7391d4 Comparison: 1ffe2ef367818ead4639ae5158455a5e5fe2126a
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 |
|---|---|---|---|---|---|
| ➖ | tcp_syslog_to_blackhole | ingress throughput | +4.02 | [-8.89, +16.93] | Logs |
| ➖ | basic_py_check | % cpu utilization | +0.72 | [-1.86, +3.31] | Logs |
| ➖ | otel_to_otel_logs | ingress throughput | +0.43 | [-0.39, +1.24] | Logs |
| ➖ | idle | memory utilization | +0.22 | [+0.18, +0.26] | Logs |
| ➖ | uds_dogstatsd_to_api | ingress throughput | +0.00 | [-0.00, +0.00] | Logs |
| ➖ | tcp_dd_logs_filter_exclude | ingress throughput | +0.00 | [-0.01, +0.01] | Logs |
| ➖ | pycheck_1000_100byte_tags | % cpu utilization | -0.23 | [-5.03, +4.56] | Logs |
| ➖ | file_tree | memory utilization | -0.40 | [-0.44, -0.36] | Logs |
| ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -0.50 | [-1.39, +0.38] | Logs |
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:
-
Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
-
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.
-
Its configuration does not mark it "erratic".
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The median merge time in main is 26m.
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