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@L3n41c L3n41c commented May 20, 2025

What does this PR do?

Motivation

Describe how you validated your changes

Possible Drawbacks / Trade-offs

Additional Notes

@L3n41c L3n41c added this to the 7.68.0 milestone May 20, 2025
@L3n41c L3n41c added do-not-merge/WIP team/containers changelog/no-changelog qa/done QA done before merge and regressions are covered by tests labels May 20, 2025
@github-actions github-actions bot added the medium review PR review might take time label May 20, 2025
@L3n41c L3n41c force-pushed the lenaic/lazy-link branch from 2fd8584 to 3869a2d Compare May 20, 2025 19:10
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agent-platform-auto-pr bot commented May 20, 2025

Gitlab CI Configuration Changes

Modified Jobs

variables (configuration)
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Changes Summary

Removed Modified Added Renamed
0 1 0 0

ℹ️ Diff available in the job log.

@L3n41c L3n41c force-pushed the lenaic/lazy-link branch from 3869a2d to 34230a8 Compare May 26, 2025 10:09
@L3n41c L3n41c force-pushed the lenaic/lazy-link branch from 34230a8 to a016145 Compare May 26, 2025 12:20
@L3n41c L3n41c force-pushed the lenaic/lazy-link branch 2 times, most recently from badab91 to 06ee13d Compare June 16, 2025 12:59
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cit-pr-commenter bot commented Jun 16, 2025

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: a6f54745-bda6-48cb-a2ae-39fd3ebabfd3

Baseline: a95af0e
Comparison: 62b83f1
Diff

Optimization Goals: ✅ Improvement(s) detected

perf experiment goal Δ mean % Δ mean % CI trials links
ddot_logs memory utilization -5.79 [-5.91, -5.67] 1 Logs
otlp_ingest_metrics memory utilization -6.37 [-6.53, -6.21] 1 Logs
file_tree memory utilization -7.50 [-7.69, -7.31] 1 Logs
otlp_ingest_logs memory utilization -8.17 [-8.31, -8.03] 1 Logs
docker_containers_memory memory utilization -8.82 [-8.89, -8.75] 1 Logs
quality_gate_idle memory utilization -11.19 [-11.25, -11.13] 1 Logs bounds checks dashboard
uds_dogstatsd_20mb_12k_contexts_20_senders memory utilization -12.59 [-12.66, -12.52] 1 Logs

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
file_to_blackhole_0ms_latency_http2 egress throughput +0.06 [-0.54, +0.66] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput +0.01 [-0.61, +0.62] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.00 [-0.28, +0.29] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.00 [-0.61, +0.62] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.02, +0.02] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.00 [-0.60, +0.59] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.01 [-0.67, +0.64] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.02 [-0.25, +0.22] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.03 [-0.66, +0.59] 1 Logs
docker_containers_cpu % cpu utilization -0.05 [-3.16, +3.06] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.10 [-0.17, -0.04] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.17 [-0.75, +0.40] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -2.01 [-2.88, -1.15] 1 Logs
quality_gate_logs % cpu utilization -3.58 [-6.15, -1.00] 1 Logs bounds checks dashboard
quality_gate_idle_all_features memory utilization -3.98 [-4.12, -3.85] 1 Logs bounds checks dashboard
ddot_metrics memory utilization -4.56 [-4.68, -4.44] 1 Logs
ddot_logs memory utilization -5.79 [-5.91, -5.67] 1 Logs
otlp_ingest_metrics memory utilization -6.37 [-6.53, -6.21] 1 Logs
file_tree memory utilization -7.50 [-7.69, -7.31] 1 Logs
otlp_ingest_logs memory utilization -8.17 [-8.31, -8.03] 1 Logs
docker_containers_memory memory utilization -8.82 [-8.89, -8.75] 1 Logs
quality_gate_idle memory utilization -11.19 [-11.25, -11.13] 1 Logs bounds checks dashboard
uds_dogstatsd_20mb_12k_contexts_20_senders memory utilization -12.59 [-12.66, -12.52] 1 Logs

Bounds Checks: ✅ Passed

perf experiment bounds_check_name replicates_passed links
docker_containers_cpu simple_check_run 10/10
docker_containers_memory memory_usage 10/10
docker_containers_memory simple_check_run 10/10
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 bounds checks dashboard
quality_gate_logs lost_bytes 10/10 bounds checks dashboard
quality_gate_logs 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".

CI Pass/Fail Decision

Passed. All Quality Gates passed.

  • quality_gate_logs, bounds check intake_connections: 10/10 replicas passed. Gate 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_idle, 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_all_features, 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.

@L3n41c L3n41c force-pushed the lenaic/lazy-link branch from 06ee13d to 62b83f1 Compare June 16, 2025 19:35
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