[CWS] remove some vars from event types

[paulcacheux]

What does this PR do?

This PR transforms a few event type related variables into functions. The goal is to limit the amount of global variables, but also in this case to allow a policy reload to pick up new probes if new network related kernel modules were loaded in the mean time.

Motivation

Describe how you validated your changes

Possible Drawbacks / Trade-offs

Additional Notes

[agent-platform-auto-pr]

Uncompressed package size comparison

Comparison with ancestor 8334f3ec9a4f869bff481508c8144f03f62c9c97

Diff per package

package	diff	status	size	ancestor	threshold
datadog-agent-amd64-deb	0.00MB	✅	865.72MB	865.72MB	0.50MB
datadog-agent-arm64-deb	0.00MB	✅	854.23MB	854.23MB	0.50MB
datadog-dogstatsd-amd64-deb	0.00MB	✅	59.04MB	59.04MB	0.50MB
datadog-dogstatsd-x86_64-rpm	0.00MB	✅	59.12MB	59.12MB	0.50MB
datadog-dogstatsd-x86_64-suse	0.00MB	✅	59.12MB	59.12MB	0.50MB
datadog-dogstatsd-arm64-deb	0.00MB	✅	56.53MB	56.53MB	0.50MB
datadog-heroku-agent-amd64-deb	0.00MB	✅	441.07MB	441.07MB	0.50MB
datadog-iot-agent-amd64-deb	0.00MB	✅	86.36MB	86.36MB	0.50MB
datadog-iot-agent-x86_64-rpm	0.00MB	✅	86.43MB	86.43MB	0.50MB
datadog-iot-agent-x86_64-suse	0.00MB	✅	86.43MB	86.43MB	0.50MB
datadog-iot-agent-arm64-deb	0.00MB	✅	82.63MB	82.63MB	0.50MB
datadog-iot-agent-aarch64-rpm	0.00MB	✅	82.70MB	82.70MB	0.50MB
datadog-agent-x86_64-rpm	-0.00MB	✅	875.48MB	875.48MB	0.50MB
datadog-agent-x86_64-suse	-0.00MB	✅	875.48MB	875.48MB	0.50MB
datadog-agent-aarch64-rpm	-0.00MB	✅	863.98MB	863.98MB	0.50MB

Decision

✅ Passed

[agent-platform-auto-pr]

Test changes on VM

Use this command from test-infra-definitions to manually test this PR changes on a VM:

inv aws.create-vm --pipeline-id=55498283 --os-family=ubuntu

Note: This applies to commit edfe1e1

[agent-platform-auto-pr]

Static quality checks ✅

Please find below the results from static quality gates

Info

Result	Quality gate	On disk size	On disk size limit	On wire size	On wire size limit
✅	static_quality_gate_agent_deb_amd64	837.49MiB	858.45MiB	202.89MiB	214.3MiB
✅	static_quality_gate_docker_agent_amd64	921.77MiB	942.69MiB	308.7MiB	321.56MiB
✅	static_quality_gate_docker_agent_arm64	934.14MiB	952.69MiB	292.69MiB	351.22MiB
✅	static_quality_gate_docker_agent_jmx_amd64	1.09GiB	1.11GiB	383.78MiB	395.8MiB
✅	static_quality_gate_docker_agent_jmx_arm64	1.09GiB	1.11GiB	363.78MiB	375.5MiB
✅	static_quality_gate_docker_dogstatsd_amd64	47.86MiB	57.88MiB	18.3MiB	28.29MiB
✅	static_quality_gate_docker_dogstatsd_arm64	46.26MiB	56.27MiB	17.05MiB	27.06MiB
✅	static_quality_gate_docker_cluster_agent_amd64	267.69MiB	277.7MiB	107.28MiB	117.28MiB
✅	static_quality_gate_docker_cluster_agent_arm64	283.74MiB	293.73MiB	102.1MiB	112.12MiB

[cit-pr-commenter]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 68e73b27-31ff-4427-9273-c685e865e012

Baseline: 8334f3e
Comparison: edfe1e1
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	quality_gate_logs	% cpu utilization	+0.97	[-2.10, +4.04]	1	Logs
➖	file_tree	memory utilization	+0.20	[+0.13, +0.27]	1	Logs
➖	file_to_blackhole_0ms_latency_http2	egress throughput	+0.04	[-0.88, +0.96]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	+0.03	[-0.03, +0.08]	1	Logs bounds checks dashboard
➖	file_to_blackhole_300ms_latency	egress throughput	+0.03	[-0.61, +0.66]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	+0.02	[-0.68, +0.73]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.00	[-0.02, +0.01]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.01	[-0.27, +0.25]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	-0.02	[-0.82, +0.78]	1	Logs
➖	file_to_blackhole_0ms_latency_http1	egress throughput	-0.04	[-0.90, +0.83]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.05	[-0.82, +0.72]	1	Logs
➖	file_to_blackhole_1000ms_latency_linear_load	egress throughput	-0.11	[-0.59, +0.36]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.12	[-0.89, +0.66]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	-0.19	[-0.26, -0.12]	1	Logs
➖	quality_gate_idle	memory utilization	-0.34	[-0.39, -0.29]	1	Logs bounds checks dashboard
➖	uds_dogstatsd_to_api_cpu	% cpu utilization	-1.06	[-1.95, -0.17]	1	Logs

Bounds Checks: ✅ Passed

perf	experiment	bounds_check_name	replicates_passed	links
✅	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
✅	quality_gate_logs	lost_bytes	10/10
✅	quality_gate_logs	memory_usage	10/10

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_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_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.

[paulcacheux]

/merge

[dd-devflow]

View all feedbacks in Devflow UI.
2025-02-12 08:43:13 UTC ℹ️ MergeQueue: pull request added to the queue

The median merge time in main is 30m.

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2025-02-12 09:11:25 UTC ℹ️ MergeQueue: This merge request was merged