Bump github.com/DataDog/datadog-api-client-go/v2 from 2.38.0 to 2.39.0 in /test/new-e2e

[dependabot]

Bumps github.com/DataDog/datadog-api-client-go/v2 from 2.38.0 to 2.39.0.

Release notes

Sourced from github.com/DataDog/datadog-api-client-go/v2's releases.

v2.39.0

See ./CHANGELOG.md for details

Changelog

Sourced from github.com/DataDog/datadog-api-client-go/v2's changelog.

2.39.0/2025-06-16

Fixed

• sanitize configuration keys correctly #3143

Changed

• Add billing read permission #3139
• Update DORA endpoints #3119

Added

• Add form field for multipart/form-data HTTP API tests #3135
• Add new endpoint to upsert/list/delete custom kinds #3128
• Add spec for team on-call endpoint #3126
• Add support for all subtypes in multistep steps #3100
• Exposing set action on Terraform V2 #3099
• Added new optional field definition to include more detail in findings for '/api/v2/posture_management/findings' #3096
• Add monitor draft status field #3095
• Add rum application to restriction policy #2984

Commits

• 1974692 Bump versions and add changelog entries. (#3156)
• 046024f Regenerate client from commit b2c4e7e8 of spec repo (#3134)
• 7a75392 Regenerate client from commit 6eb36f2b of spec repo (#3153)
• 3ca371e Regenerate client from commit 9757e1ea of spec repo (#3135)
• c25d558 Regenerate client from commit a4fc362f of spec repo (#3154)
• 9bb04c7 Add config for commit signing (#3149)
• 5c77811 sanitize configuration keys correctly (#3143)
• d03c737 Regenerate client from commit 847bdb30 of spec repo (#3148)
• 7097bf9 Regenerate client from commit 593ab828 of spec repo (#3146)
• 9c60250 Add more information on snapshots (#3136)
• Additional commits viewable in compare view

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[cit-pr-commenter]

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 1b2fff3a-fa32-48c1-84fc-4b2b224cded2

Baseline: d1b83e8
Comparison: 1937667
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	docker_containers_cpu	% cpu utilization	+2.03	[-1.11, +5.17]	1	Logs
➖	quality_gate_logs	% cpu utilization	+1.46	[-1.32, +4.25]	1	Logs bounds checks dashboard
➖	uds_dogstatsd_to_api_cpu	% cpu utilization	+0.55	[-0.31, +1.42]	1	Logs
➖	docker_containers_memory	memory utilization	+0.30	[+0.22, +0.39]	1	Logs
➖	otlp_ingest_metrics	memory utilization	+0.27	[+0.13, +0.41]	1	Logs
➖	ddot_metrics	memory utilization	+0.25	[+0.13, +0.37]	1	Logs
➖	quality_gate_idle	memory utilization	+0.08	[+0.01, +0.15]	1	Logs bounds checks dashboard
➖	file_to_blackhole_0ms_latency	egress throughput	+0.02	[-0.54, +0.59]	1	Logs
➖	quality_gate_idle_all_features	memory utilization	+0.01	[-0.06, +0.09]	1	Logs bounds checks dashboard
➖	file_to_blackhole_1000ms_latency_linear_load	egress throughput	+0.01	[-0.23, +0.25]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.00	[-0.29, +0.29]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	-0.01	[-0.03, +0.02]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	-0.06	[-0.59, +0.47]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	-0.06	[-0.65, +0.53]	1	Logs
➖	file_to_blackhole_500ms_latency	egress throughput	-0.06	[-0.70, +0.57]	1	Logs
➖	file_to_blackhole_300ms_latency	egress throughput	-0.06	[-0.71, +0.58]	1	Logs
➖	ddot_logs	memory utilization	-0.07	[-0.16, +0.02]	1	Logs
➖	file_to_blackhole_0ms_latency_http1	egress throughput	-0.08	[-0.65, +0.49]	1	Logs
➖	file_to_blackhole_0ms_latency_http2	egress throughput	-0.08	[-0.68, +0.53]	1	Logs
➖	otlp_ingest_logs	memory utilization	-0.35	[-0.47, -0.22]	1	Logs
➖	uds_dogstatsd_20mb_12k_contexts_20_senders	memory utilization	-0.64	[-0.69, -0.59]	1	Logs
➖	tcp_syslog_to_blackhole	ingress throughput	-0.66	[-0.71, -0.60]	1	Logs
➖	file_tree	memory utilization	-0.91	[-1.05, -0.76]	1	Logs

Bounds Checks: ❌ Failed

perf	experiment	bounds_check_name	replicates_passed	links
❌	docker_containers_cpu	simple_check_run	0/10
❌	docker_containers_memory	simple_check_run	0/10
✅	docker_containers_memory	memory_usage	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:

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 lost_bytes: 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_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.

[agent-platform-auto-pr]

Static quality checks

✅ Please find below the results from static quality gates
Comparison made with ancestor d1b83e8

Successful checks

Info

	Quality gate	Delta	On disk size (MiB)	Delta	On wire size (MiB)
✅	agent_deb_amd64	$${0}$$	$${699.3}$$ < $${700.55}$$	$${+0.01}$$	$${176.68}$$ < $${177.62}$$
✅	agent_deb_amd64_fips	$${0}$$	$${697.57}$$ < $${699.75}$$	$${-0.01}$$	$${176.11}$$ < $${177.04}$$
✅	agent_heroku_amd64	$${0}$$	$${352.11}$$ < $${362.84}$$	$${-0}$$	$${95.2}$$ < $${98.91}$$
✅	agent_msi	$${+0}$$	$${973.83}$$ < $${974.5}$$	$${-0.01}$$	$${147.25}$$ < $${148.11}$$
✅	agent_rpm_amd64	$${0}$$	$${699.29}$$ < $${700.53}$$	$${-0.05}$$	$${178.27}$$ < $${179.2}$$
✅	agent_rpm_amd64_fips	$${0}$$	$${697.56}$$ < $${699.74}$$	$${+0.02}$$	$${177.96}$$ < $${178.75}$$
✅	agent_rpm_arm64	$${0}$$	$${689.19}$$ < $${690.5}$$	$${-0}$$	$${161.7}$$ < $${162.56}$$
✅	agent_rpm_arm64_fips	$${0}$$	$${687.57}$$ < $${689.8}$$	$${-0.02}$$	$${160.78}$$ < $${161.61}$$
✅	agent_suse_amd64	$${0}$$	$${699.29}$$ < $${700.54}$$	$${-0.05}$$	$${178.27}$$ < $${179.2}$$
✅	agent_suse_amd64_fips	$${0}$$	$${697.56}$$ < $${699.74}$$	$${+0.02}$$	$${177.96}$$ < $${178.93}$$
✅	agent_suse_arm64	$${0}$$	$${689.19}$$ < $${690.43}$$	$${-0}$$	$${161.7}$$ < $${162.57}$$
✅	agent_suse_arm64_fips	$${0}$$	$${687.57}$$ < $${689.78}$$	$${-0.02}$$	$${160.78}$$ < $${161.61}$$
✅	docker_agent_amd64	$${0}$$	$${783.1}$$ < $${784.33}$$	$${-0}$$	$${269.74}$$ < $${270.56}$$
✅	docker_agent_arm64	$${+0}$$	$${796.44}$$ < $${797.68}$$	$${+0}$$	$${257.08}$$ < $${257.84}$$
✅	docker_agent_jmx_amd64	$${+0}$$	$${974.29}$$ < $${975.52}$$	$${-0}$$	$${338.7}$$ < $${339.53}$$
✅	docker_agent_jmx_arm64	$${0}$$	$${976.23}$$ < $${977.47}$$	$${+0}$$	$${322.0}$$ < $${322.81}$$
✅	docker_agent_windows1809	$${+0.22}$$	$${1184.97}$$ < $${1190.0}$$	$${+0.26}$$	$${417.61}$$ < $${422.66}$$
✅	docker_agent_windows1809_core	$${+0}$$	$${5914.92}$$ < $${5919.41}$$	$${0}$$	$${2048.0}$$ < $${2049.0}$$
✅	docker_agent_windows1809_core_jmx	$${+0.2}$$	$${6036.69}$$ < $${6063.56}$$	$${0}$$	$${2048.0}$$ < $${2049.0}$$
✅	docker_agent_windows1809_jmx	$${+0.07}$$	$${1306.6}$$ < $${1311.1}$$	$${+0.01}$$	$${459.85}$$ < $${464.35}$$
✅	docker_agent_windows2022	$${+0.13}$$	$${1204.29}$$ < $${1208.75}$$	$${+0.03}$$	$${430.34}$$ < $${434.91}$$
✅	docker_agent_windows2022_core	$${-0.03}$$	$${5888.24}$$ < $${5892.66}$$	$${0}$$	$${2048.0}$$ < $${2049.0}$$
✅	docker_agent_windows2022_core_jmx	$${-0.01}$$	$${6009.84}$$ < $${6014.08}$$	$${0}$$	$${2048.0}$$ < $${2049.0}$$
✅	docker_agent_windows2022_jmx	$${+0.05}$$	$${1325.89}$$ < $${1330.39}$$	$${+0}$$	$${472.57}$$ < $${477.17}$$
✅	docker_cluster_agent_amd64	$${+0}$$	$${213.74}$$ < $${214.5}$$	$${-0}$$	$${72.63}$$ < $${73.51}$$
✅	docker_cluster_agent_arm64	$${+0}$$	$${229.56}$$ < $${230.33}$$	$${+0}$$	$${68.88}$$ < $${69.77}$$
✅	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	$${0}$$	$${39.25}$$ < $${39.57}$$	$${0}$$	$${15.12}$$ < $${15.76}$$
✅	docker_dogstatsd_arm64	$${0}$$	$${37.88}$$ < $${38.2}$$	$${-0}$$	$${14.54}$$ < $${14.83}$$
✅	dogstatsd_deb_amd64	$${0}$$	$${30.48}$$ < $${31.4}$$	$${+0}$$	$${8.0}$$ < $${8.95}$$
✅	dogstatsd_deb_arm64	$${0}$$	$${29.05}$$ < $${29.97}$$	$${+0}$$	$${6.95}$$ < $${7.89}$$
✅	dogstatsd_rpm_amd64	$${0}$$	$${30.48}$$ < $${31.4}$$	$${-0}$$	$${8.01}$$ < $${8.96}$$
✅	dogstatsd_suse_amd64	$${0}$$	$${30.48}$$ < $${31.4}$$	$${-0}$$	$${8.01}$$ < $${8.96}$$
✅	iot_agent_deb_amd64	$${0}$$	$${53.85}$$ < $${54.55}$$	$${+0}$$	$${13.56}$$ < $${14.45}$$
✅	iot_agent_deb_arm64	$${0}$$	$${51.19}$$ < $${51.9}$$	$${-0}$$	$${11.72}$$ < $${12.63}$$
✅	iot_agent_deb_armhf	$${0}$$	$${50.7}$$ < $${51.42}$$	$${+0.01}$$	$${11.84}$$ < $${12.74}$$
✅	iot_agent_rpm_amd64	$${0}$$	$${53.85}$$ < $${54.55}$$	$${-0}$$	$${13.57}$$ < $${14.47}$$
✅	iot_agent_rpm_arm64	$${0}$$	$${51.19}$$ < $${51.91}$$	$${-0}$$	$${11.74}$$ < $${12.65}$$
✅	iot_agent_suse_amd64	$${0}$$	$${53.85}$$ < $${54.55}$$	$${-0}$$	$${13.57}$$ < $${14.47}$$