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[Backport 7.60.x] [CWS] fix container_id during snapshot #30875

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merged 1 commit into from
Nov 8, 2024

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agent-platform-auto-pr[bot]
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Backport abb7599 from #30869.


What does this PR do?

This PR fixes a bug introduced by #29863, causing process entry of containers not having the container_id attributes.

Motivation

Describe how to test/QA your changes

Possible Drawbacks / Trade-offs

Additional Notes

@agent-platform-auto-pr agent-platform-auto-pr bot requested a review from a team as a code owner November 7, 2024 17:23
@agent-platform-auto-pr agent-platform-auto-pr bot added team/agent-security category/bugfix qa/done QA done before merge and regressions are covered by tests backport bot short review PR is simple enough to be reviewed quickly labels Nov 7, 2024
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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=48479143 --os-family=ubuntu

Note: This applies to commit 684fe40

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: f624207c-be7c-484d-893c-0da16199edbf

Baseline: e8971b4
Comparison: 684fe40
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
tcp_syslog_to_blackhole ingress throughput +0.74 [+0.69, +0.80] 1 Logs
pycheck_lots_of_tags % cpu utilization +0.72 [-2.75, +4.19] 1 Logs
idle_all_features memory utilization +0.58 [+0.47, +0.68] 1 Logs bounds checks dashboard
otel_to_otel_logs ingress throughput +0.44 [-0.37, +1.25] 1 Logs
quality_gate_idle memory utilization +0.39 [+0.33, +0.44] 1 Logs bounds checks dashboard
file_tree memory utilization +0.08 [-0.05, +0.21] 1 Logs
file_to_blackhole_300ms_latency egress throughput +0.03 [-0.16, +0.21] 1 Logs
file_to_blackhole_0ms_latency egress throughput +0.02 [-0.31, +0.36] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.02 [-0.08, +0.11] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.01 [-0.22, +0.21] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.02 [-0.26, +0.22] 1 Logs
quality_gate_idle_all_features memory utilization -0.07 [-0.16, +0.03] 1 Logs bounds checks dashboard
file_to_blackhole_1000ms_latency egress throughput -0.30 [-0.80, +0.19] 1 Logs
idle memory utilization -0.30 [-0.36, -0.25] 1 Logs bounds checks dashboard
basic_py_check % cpu utilization -0.40 [-4.33, +3.54] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -1.96 [-2.68, -1.23] 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 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".

@safchain
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safchain commented Nov 8, 2024

/merge

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dd-devflow bot commented Nov 8, 2024

Devflow running: /merge

View all feedbacks in Devflow UI.


2024-11-08 09:56:49 UTC ℹ️ MergeQueue: pull request added to the queue

The median merge time in 7.60.x is 22m.

@dd-mergequeue dd-mergequeue bot merged commit 44cd4c6 into 7.60.x Nov 8, 2024
293 checks passed
@dd-mergequeue dd-mergequeue bot deleted the backport-30869-to-7.60.x branch November 8, 2024 10:19
@github-actions github-actions bot added this to the 7.60.0 milestone Nov 8, 2024
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3 participants