7.51.2 final tags + prelude

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Agent 7.51.2 release final updates and release notes prelude.

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Regression Detector Results

Run ID: 76aad21c-6290-41b4-bd4b-b7fe041d04ed Baseline: c6ac4a8c492d3892e60c9abd07a9e41b65b7fb67 Comparison: d2279a4e2314718272595f7b6e325ba87112d85c

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.

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf	experiment	goal	Δ mean %	Δ mean % CI
➖	file_tree	memory utilization	+0.51	[+0.41, +0.61]
➖	idle	memory utilization	+0.17	[+0.14, +0.21]
➖	file_to_blackhole	% cpu utilization	-1.85	[-8.29, +4.58]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI
➖	process_agent_standard_check	memory utilization	+0.76	[+0.69, +0.82]
➖	file_tree	memory utilization	+0.51	[+0.41, +0.61]
➖	process_agent_real_time_mode	memory utilization	+0.43	[+0.40, +0.46]
➖	tcp_syslog_to_blackhole	ingress throughput	+0.40	[+0.33, +0.48]
➖	idle	memory utilization	+0.17	[+0.14, +0.21]
➖	uds_dogstatsd_to_api	ingress throughput	+0.02	[-0.05, +0.09]
➖	tcp_dd_logs_filter_exclude	ingress throughput	+0.00	[-0.09, +0.10]
➖	trace_agent_json	ingress throughput	-0.05	[-0.09, -0.01]
➖	trace_agent_msgpack	ingress throughput	-0.06	[-0.07, -0.04]
➖	process_agent_standard_check_with_stats	memory utilization	-1.43	[-1.49, -1.38]
➖	file_to_blackhole	% cpu utilization	-1.85	[-8.29, +4.58]
➖	otel_to_otel_logs	ingress throughput	-3.58	[-4.31, -2.86]

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:

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".