Bump alpine from 3.21 to 3.22 in /test/fakeintake #37576

dependabot · 2025-06-02T20:23:44Z

Bumps alpine from 3.21 to 3.22.

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cit-pr-commenter · 2025-06-02T21:27:29Z

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 72b5d53a-fca2-4b99-8927-9cc99d290b25

Baseline: 071237e
Comparison: 108c942
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	+2.14	[+1.28, +3.01]	1	Logs
➖	docker_containers_cpu	% cpu utilization	+1.77	[-1.26, +4.80]	1	Logs
➖	file_tree	memory utilization	+0.90	[+0.68, +1.13]	1	Logs
➖	quality_gate_idle	memory utilization	+0.39	[+0.33, +0.44]	1	Logs bounds checks dashboard
➖	ddot_logs	memory utilization	+0.37	[+0.25, +0.49]	1	Logs
➖	file_to_blackhole_0ms_latency_http2	egress throughput	+0.08	[-0.48, +0.64]	1	Logs
➖	file_to_blackhole_0ms_latency_http1	egress throughput	+0.06	[-0.53, +0.64]	1	Logs
➖	file_to_blackhole_300ms_latency	egress throughput	+0.03	[-0.59, +0.64]	1	Logs
➖	otlp_ingest_metrics	memory utilization	+0.02	[-0.14, +0.18]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	+0.02	[-0.61, +0.65]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	+0.00	[-0.29, +0.29]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.00	[-0.02, +0.02]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	-0.01	[-0.07, +0.06]	1	Logs
➖	file_to_blackhole_1000ms_latency_linear_load	egress throughput	-0.01	[-0.25, +0.22]	1	Logs
➖	otlp_ingest_logs	memory utilization	-0.03	[-0.15, +0.10]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	-0.07	[-0.12, -0.02]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.08	[-0.65, +0.49]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	-0.08	[-0.65, +0.49]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.13	[-0.71, +0.46]	1	Logs
➖	ddot_metrics	memory utilization	-0.67	[-0.79, -0.55]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	-0.84	[-0.97, -0.71]	1	Logs bounds checks dashboard
➖	docker_containers_memory	memory utilization	-1.28	[-1.37, -1.20]	1	Logs
➖	quality_gate_logs	% cpu utilization	-1.51	[-4.28, +1.27]	1	Logs bounds checks dashboard

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:

Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.
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.
Its configuration does not mark it "erratic".

CI Pass/Fail Decision

✅ Passed. All Quality Gates 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 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_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.

agent-platform-auto-pr · 2025-06-02T22:11:15Z

Static quality checks

❌ Please find below the results from static quality gates
Comparison made with ancestor 31ecf81

Error

	Quality gate	Delta	On disk size (MiB)	Delta	On wire size (MiB)
❌	docker_agent_windows1809_core	$${-0}$$	$${6216.96}$$ < $${6218.0}$$	$${0}$$	$${2048.0}$$ > $${1907.85}$$
❌	docker_agent_windows1809_core_jmx	$${-0.2}$$	$${6338.53}$$ < $${6338.56}$$	$${0}$$	$${2048.0}$$ > $${1907.85}$$
❌	docker_agent_windows2022_core	$${-0.09}$$	$${6190.16}$$ < $${6311.0}$$	$${0}$$	$${2048.0}$$ > $${1907.85}$$
❌	docker_agent_windows2022_core_jmx	$${-0.03}$$	$${6311.84}$$ > $${5875.0}$$	$${0}$$	$${2048.0}$$ > $${1907.85}$$

Gate failure full details

Quality gate	Error type	Error message
docker_agent_windows1809_core	AssertionError	Image size on wire (compressed image size) 2147483647 is higher than the maximum allowed 2000525721 by the gate !
docker_agent_windows1809_core_jmx	AssertionError	Image size on wire (compressed image size) 2147483647 is higher than the maximum allowed 2000525721 by the gate !
docker_agent_windows2022_core	AssertionError	Image size on wire (compressed image size) 2147483647 is higher than the maximum allowed 2000525721 by the gate !
docker_agent_windows2022_core_jmx	AssertionError	Image size on wire (compressed image size) 2147483647 is higher than the maximum allowed 2000525721 by the gate ! Image size on disk (uncompressed image size) 6618448362 is higher than the maximum allowed 6160384000 by the gate !

Static quality gates prevent the PR to merge! You can check the static quality gates confluence page for guidance. We also have a toolbox page available to list tools useful to debug the size increase.

Successful checks

Info

	Quality gate	Delta	On disk size (MiB)	Delta	On wire size (MiB)
✅	agent_deb_amd64	$${-0}$$	$${696.37}$$ < $${697.37}$$	$${+0.01}$$	$${176.05}$$ < $${177.03}$$
✅	agent_deb_amd64_fips	$${-0}$$	$${694.66}$$ < $${695.59}$$	$${+0.06}$$	$${175.56}$$ < $${176.51}$$
✅	agent_heroku_amd64	$${0}$$	$${358.66}$$ < $${359.67}$$	$${+0}$$	$${96.52}$$ < $${97.47}$$
✅	agent_msi	$${-0}$$	$${958.86}$$ < $${959.86}$$	$${-0.01}$$	$${146.3}$$ < $${147.27}$$
✅	agent_rpm_amd64	$${-0}$$	$${696.36}$$ < $${697.36}$$	$${+0.02}$$	$${177.63}$$ < $${178.56}$$
✅	agent_rpm_amd64_fips	$${-0}$$	$${694.65}$$ < $${695.58}$$	$${-0}$$	$${177.48}$$ < $${178.43}$$
✅	agent_rpm_arm64	$${0}$$	$${686.36}$$ < $${687.37}$$	$${-0.01}$$	$${161.05}$$ < $${161.99}$$
✅	agent_rpm_arm64_fips	$${0}$$	$${684.78}$$ < $${685.72}$$	$${-0.02}$$	$${160.17}$$ < $${161.11}$$
✅	agent_suse_amd64	$${-0}$$	$${696.36}$$ < $${697.36}$$	$${+0.02}$$	$${177.63}$$ < $${178.56}$$
✅	agent_suse_amd64_fips	$${-0}$$	$${694.65}$$ < $${695.58}$$	$${-0}$$	$${177.48}$$ < $${178.43}$$
✅	agent_suse_arm64	$${0}$$	$${686.36}$$ < $${687.37}$$	$${-0.01}$$	$${161.05}$$ < $${161.99}$$
✅	agent_suse_arm64_fips	$${0}$$	$${684.78}$$ < $${685.72}$$	$${-0.02}$$	$${160.17}$$ < $${161.11}$$
✅	docker_agent_amd64	$${-0}$$	$${780.16}$$ < $${781.16}$$	$${+0.02}$$	$${268.68}$$ < $${269.63}$$
✅	docker_agent_arm64	$${-0}$$	$${793.62}$$ < $${794.62}$$	$${-0}$$	$${256.05}$$ < $${257.0}$$
✅	docker_agent_jmx_amd64	$${-0}$$	$${971.35}$$ < $${972.35}$$	$${+0.01}$$	$${337.66}$$ < $${338.6}$$
✅	docker_agent_jmx_arm64	$${-0}$$	$${973.41}$$ < $${974.41}$$	$${-0}$$	$${320.98}$$ < $${321.97}$$
✅	docker_agent_windows1809	$${+0.18}$$	$${1487.0}$$ < $${1488.0}$$	$${+0.18}$$	$${488.08}$$ < $${488.95}$$
✅	docker_agent_windows1809_jmx	$${-0}$$	$${1608.63}$$ < $${1609.5}$$	$${+0.14}$$	$${530.43}$$ < $${531.32}$$
✅	docker_agent_windows2022	$${-0.14}$$	$${1506.12}$$ < $${1507.0}$$	$${+0.02}$$	$${500.75}$$ < $${501.7}$$
✅	docker_agent_windows2022_jmx	$${-0.22}$$	$${1627.69}$$ < $${1628.16}$$	$${-0.05}$$	$${543.01}$$ < $${543.98}$$
✅	docker_cluster_agent_amd64	$${0}$$	$${212.84}$$ < $${213.79}$$	$${+0}$$	$${72.38}$$ < $${73.33}$$
✅	docker_cluster_agent_arm64	$${+0}$$	$${228.68}$$ < $${229.64}$$	$${+0}$$	$${68.64}$$ < $${69.6}$$
✅	docker_cws_instrumentation_amd64	$${0}$$	$${7.08}$$ < $${7.12}$$	$${-0}$$	$${2.95}$$ < $${3.29}$$
✅	docker_cws_instrumentation_arm64	$${0}$$	$${6.69}$$ < $${6.92}$$	$${+0}$$	$${2.7}$$ < $${3.07}$$
✅	docker_dogstatsd_amd64	$${+0}$$	$${39.22}$$ < $${39.57}$$	$${+0}$$	$${15.12}$$ < $${15.76}$$
✅	docker_dogstatsd_arm64	$${0}$$	$${37.88}$$ < $${38.2}$$	$${-0}$$	$${14.53}$$ < $${14.83}$$
✅	dogstatsd_deb_amd64	$${0}$$	$${30.45}$$ < $${31.4}$$	$${+0}$$	$${8.0}$$ < $${8.95}$$
✅	dogstatsd_deb_arm64	$${0}$$	$${29.02}$$ < $${29.97}$$	$${+0}$$	$${6.94}$$ < $${7.89}$$
✅	dogstatsd_rpm_amd64	$${0}$$	$${30.45}$$ < $${31.4}$$	$${+0}$$	$${8.01}$$ < $${8.96}$$
✅	dogstatsd_suse_amd64	$${0}$$	$${30.45}$$ < $${31.4}$$	$${+0}$$	$${8.01}$$ < $${8.96}$$
✅	iot_agent_deb_amd64	$${0}$$	$${50.42}$$ < $${51.38}$$	$${+0}$$	$${12.84}$$ < $${13.79}$$
✅	iot_agent_deb_arm64	$${0}$$	$${47.9}$$ < $${48.85}$$	$${-0}$$	$${11.14}$$ < $${12.09}$$
✅	iot_agent_deb_armhf	$${0}$$	$${47.47}$$ < $${48.42}$$	$${-0}$$	$${11.2}$$ < $${12.16}$$
✅	iot_agent_rpm_amd64	$${0}$$	$${50.42}$$ < $${51.38}$$	$${+0}$$	$${12.86}$$ < $${13.81}$$
✅	iot_agent_rpm_arm64	$${0}$$	$${47.9}$$ < $${48.85}$$	$${+0}$$	$${11.15}$$ < $${12.11}$$
✅	iot_agent_suse_amd64	$${0}$$	$${50.42}$$ < $${51.38}$$	$${+0}$$	$${12.86}$$ < $${13.81}$$

Bumps alpine from 3.21 to 3.22. --- updated-dependencies: - dependency-name: alpine dependency-version: '3.22' dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com>

dependabot bot added changelog/no-changelog dependencies PRs that bump a dependency dev/testing qa/no-code-change No code change in Agent code requiring validation team/agent-e2e-test labels Jun 2, 2025

dependabot bot requested review from a team as code owners June 2, 2025 20:23

dependabot bot added dev/testing changelog/no-changelog dependencies PRs that bump a dependency team/agent-e2e-test qa/no-code-change No code change in Agent code requiring validation labels Jun 2, 2025

github-actions bot added the short review PR is simple enough to be reviewed quickly label Jun 2, 2025

dependabot bot force-pushed the dependabot/docker/test/fakeintake/alpine-3.22 branch from 267b9aa to 108c942 Compare June 13, 2025 11:34

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Bump alpine from 3.21 to 3.22 in /test/fakeintake #37576

Bump alpine from 3.21 to 3.22 in /test/fakeintake #37576

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Fine details of change detection per experiment

Bounds Checks: ✅ Passed

Explanation

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Bump alpine from 3.21 to 3.22 in /test/fakeintake #37576

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Regression Detector

Regression Detector Results

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

Bounds Checks: ✅ Passed

Explanation

CI Pass/Fail Decision

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Static quality checks

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