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[usm] service discovery, add ignored services 'security-agent' and 'system-probe' to system-probe config #30927

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yuri-lipnesh
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What does this PR do?

Adds two Datadog services "system-probe", "security-agent" to list of ignored services in system-probe config file.

Motivation

Datadog services should not be reported as discovered services on the system.

Describe how to test/QA your changes

Passed service discovery unit tests on local VM
PASS
ok github.com/DataDog/datadog-agent/pkg/collector/corechecks/servicediscovery/module 39.196s

Possible Drawbacks / Trade-offs

Additional Notes

@yuri-lipnesh yuri-lipnesh added changelog/no-changelog component/system-probe team/usm The USM team team/apm-onboarding qa/done QA done before merge and regressions are covered by tests labels Nov 8, 2024
@yuri-lipnesh yuri-lipnesh requested review from a team as code owners November 8, 2024 22:08
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Nov 8, 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=48617375 --os-family=ubuntu

Note: This applies to commit 608cb02

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 95611e30-f89c-47f3-b605-387e1ba3ed2c

Baseline: 92bf87a
Comparison: 608cb02
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
pycheck_lots_of_tags % cpu utilization +4.76 [+1.30, +8.22] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization +0.41 [-0.31, +1.14] 1 Logs
otel_to_otel_logs ingress throughput +0.27 [-0.40, +0.95] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.11 [-0.13, +0.36] 1 Logs
file_to_blackhole_300ms_latency egress throughput +0.03 [-0.16, +0.23] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.02 [-0.34, +0.31] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.02 [-0.50, +0.46] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.03 [-0.13, +0.08] 1 Logs
quality_gate_idle_all_features memory utilization -0.05 [-0.15, +0.06] 1 Logs bounds checks dashboard
file_tree memory utilization -0.10 [-0.23, +0.03] 1 Logs
quality_gate_idle memory utilization -0.25 [-0.30, -0.20] 1 Logs bounds checks dashboard
basic_py_check % cpu utilization -0.31 [-4.05, +3.42] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.43 [-0.49, -0.37] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.51 [-1.00, -0.03] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_100ms_latency lost_bytes 5/10
quality_gate_idle memory_usage 6/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 9/10 bounds checks dashboard
file_to_blackhole_0ms_latency lost_bytes 10/10
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

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".

@guyarb
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guyarb commented Nov 10, 2024

/merge

@dd-devflow
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dd-devflow bot commented Nov 10, 2024

Devflow running: /merge

View all feedbacks in Devflow UI.


2024-11-10 06:01:58 UTC ℹ️ MergeQueue: pull request added to the queue

The median merge time in main is 23m.

@dd-mergequeue dd-mergequeue bot merged commit cf76f8b into main Nov 10, 2024
337 checks passed
@dd-mergequeue dd-mergequeue bot deleted the yuri.lipnesh/USMON-1339_discovery_ignore_dd_services branch November 10, 2024 06:31
@github-actions github-actions bot added this to the 7.61.0 milestone Nov 10, 2024
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3 participants