[CWS-3907] Enable security profiles for systemd cgroups

[mftoure]

What does this PR do?

This PR enabled security profiles for systemd cgroups, thus, enabling anomaly detection events for these cgroups.

Motivation

Describe how you validated your changes

Possible Drawbacks / Trade-offs

Additional Notes

[agent-platform-auto-pr[bot]]

Uncompressed package size comparison

Comparison with ancestor 4807f2b13a71535baf4df0d073f455627082a46a

Diff per package

package	diff	status	size	ancestor	threshold
datadog-agent-arm64-deb	0.01MB	⚠️	765.12MB	765.12MB	0.50MB
datadog-agent-aarch64-rpm	0.01MB	⚠️	774.05MB	774.05MB	0.50MB
datadog-agent-x86_64-rpm	0.00MB	✅	784.79MB	784.78MB	0.50MB
datadog-agent-x86_64-suse	0.00MB	✅	784.79MB	784.78MB	0.50MB
datadog-agent-amd64-deb	0.00MB	✅	775.83MB	775.83MB	0.50MB
datadog-dogstatsd-amd64-deb	0.00MB	✅	31.23MB	31.23MB	0.50MB
datadog-dogstatsd-x86_64-rpm	0.00MB	✅	31.31MB	31.31MB	0.50MB
datadog-dogstatsd-x86_64-suse	0.00MB	✅	31.31MB	31.31MB	0.50MB
datadog-dogstatsd-arm64-deb	0.00MB	✅	30.05MB	30.05MB	0.50MB
datadog-heroku-agent-amd64-deb	0.00MB	✅	379.44MB	379.44MB	0.50MB
datadog-iot-agent-amd64-deb	0.00MB	✅	61.78MB	61.78MB	0.50MB
datadog-iot-agent-x86_64-rpm	0.00MB	✅	61.86MB	61.86MB	0.50MB
datadog-iot-agent-x86_64-suse	0.00MB	✅	61.86MB	61.86MB	0.50MB
datadog-iot-agent-arm64-deb	0.00MB	✅	59.01MB	59.01MB	0.50MB
datadog-iot-agent-aarch64-rpm	0.00MB	✅	59.09MB	59.09MB	0.50MB

Decision

⚠️ Warning

[agent-platform-auto-pr[bot]]

Static quality checks

✅ Please find below the results from static quality gates Comparison made with ancestor d4c2b194a81f7d8e6458c6c45488185fd425b695

Successful checks

Info

	Quality gate	Delta	On disk size (MiB)	Delta	On wire size (MiB)
✅	agent_deb_amd64	$${+0.05}$$	$${702.27}$$ < $${702.41}$$	$${-0.01}$$	$${177.24}$$ < $${178.15}$$
✅	agent_deb_amd64_fips	$${+0.05}$$	$${696.75}$$ < $${696.89}$$	$${-0.05}$$	$${175.93}$$ < $${177.15}$$
✅	agent_heroku_amd64	$${0}$$	$${340.16}$$ < $${340.9}$$	$${+0.01}$$	$${90.41}$$ < $${91.41}$$
✅	agent_msi	$${+0}$$	$${985.64}$$ < $${986.58}$$	$${-0.01}$$	$${151.14}$$ < $${152.13}$$
✅	agent_rpm_amd64	$${+0.05}$$	$${702.26}$$ < $${702.4}$$	$${-0.05}$$	$${179.48}$$ < $${180.32}$$
✅	agent_rpm_amd64_fips	$${+0.05}$$	$${696.74}$$ < $${696.88}$$	$${+0.03}$$	$${177.92}$$ < $${178.79}$$
✅	agent_rpm_arm64	$${+0.05}$$	$${689.01}$$ < $${689.18}$$	$${-0.02}$$	$${161.1}$$ < $${162.11}$$
✅	agent_rpm_arm64_fips	$${+0.04}$$	$${684.27}$$ < $${684.44}$$	$${+0.06}$$	$${160.02}$$ < $${161.0}$$
✅	agent_suse_amd64	$${+0.05}$$	$${702.26}$$ < $${702.4}$$	$${-0.05}$$	$${179.48}$$ < $${180.32}$$
✅	agent_suse_amd64_fips	$${+0.05}$$	$${696.74}$$ < $${696.88}$$	$${+0.03}$$	$${177.92}$$ < $${178.79}$$
✅	agent_suse_arm64	$${+0.05}$$	$${689.01}$$ < $${689.18}$$	$${-0.02}$$	$${161.1}$$ < $${162.11}$$
✅	agent_suse_arm64_fips	$${+0.04}$$	$${684.27}$$ < $${684.44}$$	$${+0.06}$$	$${160.02}$$ < $${161.0}$$
✅	docker_agent_amd64	$${+0.05}$$	$${773.65}$$ < $${773.82}$$	$${-0}$$	$${265.43}$$ < $${266.25}$$
✅	docker_agent_arm64	$${+0.05}$$	$${784.33}$$ < $${784.56}$$	$${+0.03}$$	$${251.87}$$ < $${252.72}$$
✅	docker_agent_jmx_amd64	$${+0.05}$$	$${964.51}$$ < $${964.69}$$	$${+0.01}$$	$${334.06}$$ < $${334.88}$$
✅	docker_agent_jmx_arm64	$${+0.05}$$	$${963.79}$$ < $${964.02}$$	$${+0}$$	$${316.48}$$ < $${317.33}$$
✅	docker_cluster_agent_amd64	$${+0}$$	$${213.08}$$ < $${213.74}$$	$${-0}$$	$${72.33}$$ < $${73.2}$$
✅	docker_cluster_agent_arm64	$${-0}$$	$${228.97}$$ < $${229.68}$$	$${-0.01}$$	$${68.59}$$ < $${69.48}$$
✅	docker_cws_instrumentation_amd64	$${0}$$	$${7.06}$$ < $${7.12}$$	$${+0}$$	$${2.95}$$ < $${3.29}$$
✅	docker_cws_instrumentation_arm64	$${0}$$	$${6.69}$$ < $${6.92}$$	$${+0}$$	$${2.7}$$ < $${3.07}$$
✅	docker_dogstatsd_amd64	$${-0}$$	$${38.41}$$ < $${39.3}$$	$${-0}$$	$${14.83}$$ < $${15.76}$$
✅	docker_dogstatsd_arm64	$${0}$$	$${37.05}$$ < $${37.94}$$	$${-0.01}$$	$${14.28}$$ < $${14.83}$$
✅	dogstatsd_deb_amd64	$${0}$$	$${29.64}$$ < $${30.53}$$	$${-0}$$	$${7.82}$$ < $${8.75}$$
✅	dogstatsd_deb_arm64	$${0}$$	$${28.22}$$ < $${29.12}$$	$${+0}$$	$${6.77}$$ < $${7.71}$$
✅	dogstatsd_rpm_amd64	$${0}$$	$${29.64}$$ < $${30.53}$$	$${-0}$$	$${7.83}$$ < $${8.77}$$
✅	dogstatsd_suse_amd64	$${0}$$	$${29.64}$$ < $${30.53}$$	$${-0}$$	$${7.83}$$ < $${8.77}$$
✅	iot_agent_deb_amd64	$${0}$$	$${54.37}$$ < $${54.97}$$	$${-0}$$	$${13.58}$$ < $${14.45}$$
✅	iot_agent_deb_arm64	$${0}$$	$${51.66}$$ < $${51.9}$$	$${+0}$$	$${11.71}$$ < $${12.63}$$
✅	iot_agent_deb_armhf	$${0}$$	$${51.22}$$ < $${51.84}$$	$${-0}$$	$${11.79}$$ < $${12.74}$$
✅	iot_agent_rpm_amd64	$${0}$$	$${54.37}$$ < $${54.97}$$	$${+0}$$	$${13.6}$$ < $${14.47}$$
✅	iot_agent_suse_amd64	$${0}$$	$${54.37}$$ < $${54.97}$$	$${+0}$$	$${13.6}$$ < $${14.47}$$

[cit-pr-commenter[bot]]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 0b011f45-7d5f-42a1-a004-482b3e980928

Baseline: b8a1cdff7940155ccccd7024cf845531ce4b6d93 Comparison: b31e0c3bf5ddae0f4cff70d4335ce0f2885afae5 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	-19.75	[-22.66, -16.84]	1	Logs

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	quality_gate_logs	% cpu utilization	+2.06	[-0.73, +4.85]	1	Logs bounds checks dashboard
➖	quality_gate_metrics_logs	memory utilization	+1.22	[+1.01, +1.42]	1	Logs bounds checks dashboard
➖	ddot_metrics_sum_cumulative	memory utilization	+0.85	[+0.69, +1.02]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	+0.70	[+0.66, +0.75]	1	Logs
➖	ddot_metrics_sum_delta	memory utilization	+0.27	[+0.13, +0.42]	1	Logs
➖	file_tree	memory utilization	+0.27	[+0.24, +0.31]	1	Logs
➖	otlp_ingest_metrics	memory utilization	+0.17	[+0.05, +0.29]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	+0.16	[+0.12, +0.19]	1	Logs bounds checks dashboard
➖	ddot_metrics	memory utilization	+0.11	[-0.06, +0.27]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	+0.08	[-0.48, +0.64]	1	Logs
➖	quality_gate_idle	memory utilization	+0.05	[-0.02, +0.12]	1	Logs bounds checks dashboard
➖	file_to_blackhole_0ms_latency	egress throughput	+0.04	[-0.55, +0.63]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	+0.03	[-0.07, +0.13]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.00	[-0.01, +0.01]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	-0.01	[-0.63, +0.61]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.02	[-0.67, +0.63]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.03	[-0.27, +0.21]	1	Logs
➖	otlp_ingest_logs	memory utilization	-0.11	[-0.22, +0.00]	1	Logs
➖	ddot_metrics_sum_cumulativetodelta_exporter	memory utilization	-0.17	[-0.36, +0.03]	1	Logs
➖	ddot_logs	memory utilization	-0.47	[-0.53, -0.42]	1	Logs
➖	docker_containers_memory	memory utilization	-2.26	[-2.37, -2.14]	1	Logs
✅	docker_containers_cpu	% cpu utilization	-19.75	[-22.66, -16.84]	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	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_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, 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.
• quality_gate_metrics_logs, bounds check cpu_usage: 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 lost_bytes: 10/10 replicas passed. Gate passed.
• quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.

[spikat]

In addition to my first comments, this should unlock profile based feature like anomalies and auto-suppression right? It would be great if you could add functional tests for all the "basic" profile features here (yeah I know .. just thinking about it's already too tedious xD)

[spikat]

Another question: I didn't yet took a deep dive into it but: how are we handling "warm-up period" for cgroup profiles? The same way as we are for container's ones?

[mftoure]

/merge

[dd-devflow-routing-codex[bot]]

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2025-09-16 11:53:05 UTC :information_source: Start processing command /merge

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[mftoure]

/merge

[dd-devflow-routing-codex[bot]]

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2025-09-17 08:49:52 UTC :information_source: Start processing command /merge

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2025-09-17 08:49:56 UTC :information_source: MergeQueue: pull request added to the queue

The expected merge time in main is approximately 32m (p90).

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2025-09-17 09:05:35 UTC :information_source: MergeQueue: This merge request was merged