See if we can hack a way around project.extra_package_file

[aiuto]

See if we can hack a way around the project.extra_package_file by writing tarballs directly to OMNIBUS_PACKAGE_ARTIFACT_DIR.

This would be a temporary solution until the time when we can completely replace the package-artifact.rb. After migration, we'll just depend on these special targets in the srcs of the package target.

One of the key motivations is to be able to build the product without stomping /etc. That is a key step in being able to build without being root.

[agent-platform-auto-pr]

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor ff19814
📊 Static Quality Gates Dashboard

31 successful checks with minimal change (< 2 KiB)

	Quality gate	Current Size
✅	agent_deb_amd64	752.287 MiB
✅	agent_deb_amd64_fips	700.968 MiB
✅	agent_heroku_amd64	326.610 MiB
✅	agent_msi	662.875 MiB
✅	agent_rpm_amd64	752.271 MiB
✅	agent_rpm_amd64_fips	700.952 MiB
✅	agent_rpm_arm64	731.023 MiB
✅	agent_rpm_arm64_fips	683.074 MiB
✅	agent_suse_amd64	752.271 MiB
✅	agent_suse_amd64_fips	700.952 MiB
✅	agent_suse_arm64	731.023 MiB
✅	agent_suse_arm64_fips	683.074 MiB
✅	docker_agent_amd64	814.409 MiB
✅	docker_agent_arm64	817.794 MiB
✅	docker_agent_jmx_amd64	1005.287 MiB
✅	docker_agent_jmx_arm64	997.392 MiB
✅	docker_cluster_agent_amd64	181.170 MiB
✅	docker_cluster_agent_arm64	196.983 MiB
✅	docker_cws_instrumentation_amd64	7.135 MiB
✅	docker_cws_instrumentation_arm64	6.689 MiB
✅	docker_dogstatsd_amd64	38.816 MiB
✅	docker_dogstatsd_arm64	37.127 MiB
✅	dogstatsd_deb_amd64	30.035 MiB
✅	dogstatsd_deb_arm64	28.184 MiB
✅	dogstatsd_rpm_amd64	30.035 MiB
✅	dogstatsd_suse_amd64	30.035 MiB
✅	iot_agent_deb_amd64	43.013 MiB
✅	iot_agent_deb_arm64	40.119 MiB
✅	iot_agent_deb_armhf	40.689 MiB
✅	iot_agent_rpm_amd64	43.014 MiB
✅	iot_agent_suse_amd64	43.014 MiB

On-wire sizes (compressed)

	Quality gate	Change	Size (prev → curr → max)
✅	agent_deb_amd64	-21.39 KiB (0.01% reduction)	183.873 → 183.852 → 184.810
✅	agent_deb_amd64_fips	-19.38 KiB (0.01% reduction)	172.618 → 172.599 → 173.790
✅	agent_heroku_amd64	neutral	87.120 MiB → 88.450
✅	agent_msi	+36.0 KiB (0.02% increase)	143.105 → 143.141 → 143.300
✅	agent_rpm_amd64	neutral	186.832 MiB → 188.160
✅	agent_rpm_amd64_fips	+11.16 KiB (0.01% increase)	175.604 → 175.615 → 176.600
✅	agent_rpm_arm64	+19.93 KiB (0.01% increase)	168.470 → 168.490 → 169.930
✅	agent_rpm_arm64_fips	-34.55 KiB (0.02% reduction)	159.093 → 159.060 → 160.550
✅	agent_suse_amd64	neutral	186.832 MiB → 188.160
✅	agent_suse_amd64_fips	+11.16 KiB (0.01% increase)	175.604 → 175.615 → 176.600
✅	agent_suse_arm64	+19.93 KiB (0.01% increase)	168.470 → 168.490 → 169.930
✅	agent_suse_arm64_fips	-34.55 KiB (0.02% reduction)	159.093 → 159.060 → 160.550
✅	docker_agent_amd64	+4.95 KiB (0.00% increase)	276.535 → 276.540 → 277.400
✅	docker_agent_arm64	+18.97 KiB (0.01% increase)	263.945 → 263.963 → 266.040
✅	docker_agent_jmx_amd64	neutral	345.167 MiB → 346.020
✅	docker_agent_jmx_arm64	+16.94 KiB (0.01% increase)	328.565 → 328.582 → 330.660
✅	docker_cluster_agent_amd64	neutral	64.002 MiB → 64.510
✅	docker_cluster_agent_arm64	neutral	60.268 MiB → 61.170
✅	docker_cws_instrumentation_amd64	neutral	2.994 MiB → 3.330
✅	docker_cws_instrumentation_arm64	neutral	2.726 MiB → 3.090
✅	docker_dogstatsd_amd64	neutral	15.023 MiB → 15.820
✅	docker_dogstatsd_arm64	neutral	14.350 MiB → 14.830
✅	dogstatsd_deb_amd64	neutral	7.939 MiB → 8.790
✅	dogstatsd_deb_arm64	neutral	6.821 MiB → 7.710
✅	dogstatsd_rpm_amd64	neutral	7.950 MiB → 8.800
✅	dogstatsd_suse_amd64	neutral	7.950 MiB → 8.800
✅	iot_agent_deb_amd64	+2.62 KiB (0.02% increase)	11.286 → 11.288 → 12.040
✅	iot_agent_deb_arm64	neutral	9.646 MiB → 10.450
✅	iot_agent_deb_armhf	+2.82 KiB (0.03% increase)	9.840 → 9.843 → 10.620
✅	iot_agent_rpm_amd64	+2.11 KiB (0.02% increase)	11.304 → 11.306 → 12.060
✅	iot_agent_suse_amd64	+2.11 KiB (0.02% increase)	11.304 → 11.306 → 12.060

[cit-pr-commenter-54b7da]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 90530e21-84fa-4cb5-87db-a083e4503216

Baseline: ff19814
Comparison: c936317
Diff

Optimization Goals: ✅ No significant changes detected

Experiments ignored for regressions

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

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	docker_containers_cpu	% cpu utilization	-4.06	[-7.13, -1.00]	1	Logs

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	tcp_syslog_to_blackhole	ingress throughput	+0.79	[+0.71, +0.87]	1	Logs
➖	ddot_metrics_sum_cumulative	memory utilization	+0.37	[+0.22, +0.52]	1	Logs
➖	otlp_ingest_logs	memory utilization	+0.26	[+0.16, +0.37]	1	Logs
➖	ddot_metrics_sum_cumulativetodelta_exporter	memory utilization	+0.11	[-0.12, +0.34]	1	Logs
➖	file_tree	memory utilization	+0.08	[+0.03, +0.13]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	+0.07	[+0.03, +0.11]	1	Logs bounds checks dashboard
➖	file_to_blackhole_100ms_latency	egress throughput	+0.02	[-0.03, +0.07]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	+0.01	[-0.12, +0.14]	1	Logs
➖	ddot_logs	memory utilization	+0.01	[-0.05, +0.08]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	+0.00	[-0.08, +0.09]	1	Logs
➖	uds_dogstatsd_to_api_v3	ingress throughput	-0.00	[-0.13, +0.12]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.00	[-0.39, +0.39]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.04	[-0.45, +0.37]	1	Logs
➖	docker_containers_memory	memory utilization	-0.04	[-0.12, +0.03]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	-0.07	[-0.58, +0.44]	1	Logs
➖	quality_gate_idle	memory utilization	-0.15	[-0.19, -0.10]	1	Logs bounds checks dashboard
➖	ddot_metrics_sum_delta	memory utilization	-0.30	[-0.51, -0.09]	1	Logs
➖	ddot_metrics	memory utilization	-0.33	[-0.54, -0.12]	1	Logs
➖	otlp_ingest_metrics	memory utilization	-0.33	[-0.49, -0.18]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	-0.48	[-0.54, -0.43]	1	Logs
➖	quality_gate_metrics_logs	memory utilization	-0.86	[-1.07, -0.64]	1	Logs bounds checks dashboard
➖	quality_gate_logs	% cpu utilization	-1.94	[-3.45, -0.44]	1	Logs bounds checks dashboard
➖	docker_containers_cpu	% cpu utilization	-4.06	[-7.13, -1.00]	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_1000ms_latency	lost_bytes	10/10
✅	file_to_blackhole_1000ms_latency	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_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
✅	quality_gate_metrics_logs	cpu_usage	10/10	bounds checks dashboard
✅	quality_gate_metrics_logs	intake_connections	10/10	bounds checks dashboard
✅	quality_gate_metrics_logs	lost_bytes	10/10	bounds checks dashboard
✅	quality_gate_metrics_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_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
• quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate 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_metrics_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check cpu_usage: 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.