[WIP][OTAGENT-823] implement Dogtel extension

[songy23]

What does this PR do?

Motivation

Describe how you validated your changes

Additional Notes

[agent-platform-auto-pr]

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor 59e539a
📊 Static Quality Gates Dashboard

31 successful checks with minimal change (< 2 KiB)

	Quality gate	Current Size
✅	agent_deb_amd64	746.859 MiB
✅	agent_deb_amd64_fips	706.895 MiB
✅	agent_heroku_amd64	324.247 MiB
✅	agent_msi	659.082 MiB
✅	agent_rpm_amd64	746.842 MiB
✅	agent_rpm_amd64_fips	706.879 MiB
✅	agent_rpm_arm64	726.085 MiB
✅	agent_rpm_arm64_fips	688.548 MiB
✅	agent_suse_amd64	746.842 MiB
✅	agent_suse_amd64_fips	706.879 MiB
✅	agent_suse_arm64	726.085 MiB
✅	agent_suse_arm64_fips	688.548 MiB
✅	docker_agent_amd64	809.265 MiB
✅	docker_agent_arm64	813.056 MiB
✅	docker_agent_jmx_amd64	1000.177 MiB
✅	docker_agent_jmx_arm64	992.749 MiB
✅	docker_cluster_agent_amd64	180.918 MiB
✅	docker_cluster_agent_arm64	196.744 MiB
✅	docker_cws_instrumentation_amd64	7.135 MiB
✅	docker_cws_instrumentation_arm64	6.689 MiB
✅	docker_dogstatsd_amd64	38.449 MiB
✅	docker_dogstatsd_arm64	36.749 MiB
✅	dogstatsd_deb_amd64	29.669 MiB
✅	dogstatsd_deb_arm64	27.833 MiB
✅	dogstatsd_rpm_amd64	29.669 MiB
✅	dogstatsd_suse_amd64	29.669 MiB
✅	iot_agent_deb_amd64	42.774 MiB
✅	iot_agent_deb_arm64	39.895 MiB
✅	iot_agent_deb_armhf	40.466 MiB
✅	iot_agent_rpm_amd64	42.775 MiB
✅	iot_agent_suse_amd64	42.775 MiB

On-wire sizes (compressed)

	Quality gate	Change	Size (prev → curr → max)
✅	agent_deb_amd64	-13.14 KiB (0.01% reduction)	182.614 → 182.601 → 184.810
✅	agent_deb_amd64_fips	+11.28 KiB (0.01% increase)	174.076 → 174.087 → 177.560
✅	agent_heroku_amd64	-2.12 KiB (0.00% reduction)	87.105 → 87.103 → 88.450
✅	agent_msi	-20.0 KiB (0.01% reduction)	142.602 → 142.582 → 143.300
✅	agent_rpm_amd64	neutral	185.625 MiB → 188.160
✅	agent_rpm_amd64_fips	+17.61 KiB (0.01% increase)	176.400 → 176.418 → 178.900
✅	agent_rpm_arm64	-20.97 KiB (0.01% reduction)	168.309 → 168.288 → 169.930
✅	agent_rpm_arm64_fips	-50.86 KiB (0.03% reduction)	160.582 → 160.532 → 163.120
✅	agent_suse_amd64	neutral	185.625 MiB → 188.160
✅	agent_suse_amd64_fips	+17.61 KiB (0.01% increase)	176.400 → 176.418 → 178.900
✅	agent_suse_arm64	-20.97 KiB (0.01% reduction)	168.309 → 168.288 → 169.930
✅	agent_suse_arm64_fips	-50.86 KiB (0.03% reduction)	160.582 → 160.532 → 163.120
✅	docker_agent_amd64	neutral	274.661 MiB → 277.400
✅	docker_agent_arm64	-3.8 KiB (0.00% reduction)	262.222 → 262.219 → 266.040
✅	docker_agent_jmx_amd64	+2.68 KiB (0.00% increase)	343.318 → 343.321 → 346.020
✅	docker_agent_jmx_arm64	-3.48 KiB (0.00% reduction)	326.854 → 326.850 → 330.660
✅	docker_cluster_agent_amd64	neutral	63.899 MiB → 64.510
✅	docker_cluster_agent_arm64	neutral	60.177 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	14.876 MiB → 15.820
✅	docker_dogstatsd_arm64	neutral	14.216 MiB → 14.830
✅	dogstatsd_deb_amd64	neutral	7.839 MiB → 8.790
✅	dogstatsd_deb_arm64	neutral	6.725 MiB → 7.710
✅	dogstatsd_rpm_amd64	neutral	7.849 MiB → 8.800
✅	dogstatsd_suse_amd64	neutral	7.849 MiB → 8.800
✅	iot_agent_deb_amd64	+3.56 KiB (0.03% increase)	11.220 → 11.224 → 12.040
✅	iot_agent_deb_arm64	neutral	9.592 MiB → 10.450
✅	iot_agent_deb_armhf	+3.04 KiB (0.03% increase)	9.788 → 9.791 → 10.620
✅	iot_agent_rpm_amd64	neutral	11.242 MiB → 12.060
✅	iot_agent_suse_amd64	neutral	11.242 MiB → 12.060

[cit-pr-commenter-54b7da]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 2b73de40-6e60-46c6-b8f4-cf0e0c6c7b24

Baseline: 0134072
Comparison: dbd4260
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	+4.39	[+1.24, +7.53]	1	Logs

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	docker_containers_cpu	% cpu utilization	+4.39	[+1.24, +7.53]	1	Logs
➖	quality_gate_idle	memory utilization	+0.20	[+0.16, +0.25]	1	Logs bounds checks dashboard
➖	quality_gate_metrics_logs	memory utilization	+0.15	[-0.07, +0.36]	1	Logs bounds checks dashboard
➖	file_tree	memory utilization	+0.13	[+0.08, +0.18]	1	Logs
➖	ddot_metrics_sum_delta	memory utilization	+0.09	[-0.11, +0.30]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	+0.07	[-0.04, +0.18]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	+0.04	[-0.00, +0.08]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	+0.02	[-0.36, +0.40]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.00	[-0.12, +0.12]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.01	[-0.11, +0.08]	1	Logs
➖	uds_dogstatsd_to_api_v3	ingress throughput	-0.02	[-0.14, +0.11]	1	Logs
➖	docker_containers_memory	memory utilization	-0.02	[-0.09, +0.05]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	-0.02	[-0.54, +0.49]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.03	[-0.45, +0.39]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	-0.04	[-0.08, -0.00]	1	Logs bounds checks dashboard
➖	quality_gate_logs	% cpu utilization	-0.09	[-1.59, +1.42]	1	Logs bounds checks dashboard
➖	otlp_ingest_metrics	memory utilization	-0.26	[-0.42, -0.10]	1	Logs
➖	ddot_metrics_sum_cumulativetodelta_exporter	memory utilization	-0.29	[-0.52, -0.06]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	-0.29	[-0.35, -0.23]	1	Logs
➖	ddot_metrics_sum_cumulative	memory utilization	-0.30	[-0.46, -0.14]	1	Logs
➖	otlp_ingest_logs	memory utilization	-0.33	[-0.42, -0.24]	1	Logs
➖	ddot_metrics	memory utilization	-0.73	[-0.94, -0.52]	1	Logs
➖	ddot_logs	memory utilization	-0.84	[-0.91, -0.77]	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 intake_connections: 10/10 replicas passed. Gate passed.
• quality_gate_idle, 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 memory_usage: 10/10 replicas passed. Gate passed.
• quality_gate_logs, bounds check intake_connections: 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 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 lost_bytes: 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.