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service discovery: Remove redundant test #33632

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What does this PR do?

The "repeated_service_name" test does not serve any purpose after the special logic to handle repeated service names was removed in #33307.

Motivation

Code cleanup. Noticed when working on #33602.

Describe how you validated your changes

It's a test.

Possible Drawbacks / Trade-offs

Additional Notes

The "repeated_service_name" test does not serve any purpose after the
special logic to handle repeated service names was removed in #33307.
@vitkyrka vitkyrka added changelog/no-changelog qa/no-code-change No code change in Agent code requiring validation ask-review Ask required teams to review this PR team/agent-discovery labels Jan 31, 2025
@vitkyrka vitkyrka marked this pull request as ready for review January 31, 2025 16:46
@vitkyrka vitkyrka requested a review from a team as a code owner January 31, 2025 16:46
@github-actions github-actions bot added the medium review PR review might take time label Jan 31, 2025
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Uncompressed package size comparison

Comparison with ancestor 9cf6387ef05f69dd092833ce1c5672a8bab806b1

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 877.17MB 877.17MB 0.50MB
datadog-agent-x86_64-rpm 0.00MB 886.91MB 886.91MB 0.50MB
datadog-agent-x86_64-suse 0.00MB 886.91MB 886.91MB 0.50MB
datadog-agent-arm64-deb 0.00MB 864.96MB 864.96MB 0.50MB
datadog-agent-aarch64-rpm 0.00MB 874.68MB 874.68MB 0.50MB
datadog-dogstatsd-amd64-deb 0.00MB 59.02MB 59.02MB 0.50MB
datadog-dogstatsd-x86_64-rpm 0.00MB 59.09MB 59.09MB 0.50MB
datadog-dogstatsd-x86_64-suse 0.00MB 59.09MB 59.09MB 0.50MB
datadog-dogstatsd-arm64-deb 0.00MB 56.50MB 56.50MB 0.50MB
datadog-heroku-agent-amd64-deb 0.00MB 456.42MB 456.42MB 0.50MB
datadog-iot-agent-amd64-deb 0.00MB 93.82MB 93.82MB 0.50MB
datadog-iot-agent-x86_64-rpm 0.00MB 93.89MB 93.89MB 0.50MB
datadog-iot-agent-x86_64-suse 0.00MB 93.88MB 93.88MB 0.50MB
datadog-iot-agent-arm64-deb 0.00MB 89.87MB 89.87MB 0.50MB
datadog-iot-agent-aarch64-rpm 0.00MB 89.94MB 89.94MB 0.50MB

Decision

✅ Passed

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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 aws.create-vm --pipeline-id=54599419 --os-family=ubuntu

Note: This applies to commit c4bff25

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 3b3dfdb8-85bb-4d30-8a2a-ef1a45bd1933

Baseline: 9cf6387
Comparison: c4bff25
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
uds_dogstatsd_to_api_cpu % cpu utilization +1.19 [+0.31, +2.06] 1 Logs
quality_gate_logs % cpu utilization +0.94 [-2.14, +4.01] 1 Logs
quality_gate_idle_all_features memory utilization +0.23 [+0.16, +0.31] 1 Logs bounds checks dashboard
file_to_blackhole_1000ms_latency_linear_load egress throughput +0.10 [-0.36, +0.57] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.07 [-0.74, +0.88] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput +0.02 [-0.87, +0.91] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.01 [-0.77, +0.79] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.01 [-0.01, +0.02] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.01 [-0.65, +0.63] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.01 [-0.29, +0.27] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.02 [-0.69, +0.65] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.05 [-0.94, +0.84] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.07 [-0.14, -0.00] 1 Logs
quality_gate_idle memory utilization -0.46 [-0.50, -0.41] 1 Logs bounds checks dashboard
file_to_blackhole_1000ms_latency egress throughput -0.51 [-1.29, +0.26] 1 Logs
file_tree memory utilization -0.75 [-0.82, -0.68] 1 Logs

Bounds Checks: ✅ Passed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_0ms_latency lost_bytes 10/10
file_to_blackhole_0ms_latency memory_usage 10/10
file_to_blackhole_0ms_latency_http1 lost_bytes 10/10
file_to_blackhole_0ms_latency_http1 memory_usage 10/10
file_to_blackhole_0ms_latency_http2 lost_bytes 10/10
file_to_blackhole_0ms_latency_http2 memory_usage 10/10
file_to_blackhole_1000ms_latency memory_usage 10/10
file_to_blackhole_1000ms_latency_linear_load memory_usage 10/10
file_to_blackhole_100ms_latency lost_bytes 10/10
file_to_blackhole_100ms_latency memory_usage 10/10
file_to_blackhole_300ms_latency lost_bytes 10/10
file_to_blackhole_300ms_latency memory_usage 10/10
file_to_blackhole_500ms_latency lost_bytes 10/10
file_to_blackhole_500ms_latency memory_usage 10/10
quality_gate_idle intake_connections 10/10 bounds checks dashboard
quality_gate_idle memory_usage 10/10 bounds checks dashboard
quality_gate_idle_all_features intake_connections 10/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 bounds checks dashboard
quality_gate_logs intake_connections 10/10
quality_gate_logs lost_bytes 10/10
quality_gate_logs 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".

CI Pass/Fail Decision

Passed. All Quality Gates passed.

  • quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.

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