Revert "Add dependencies to the internal_kubernetes_deploy_experimental job (#30595)"

[FlorentClarret]

This reverts commit 4991a56.

What does this PR do?

Motivation

The original PR uncovered issues with the windows job and it prevents us from deploying the beta build. Reverting it until we fix the windows job

Describe how to test/QA your changes

Possible Drawbacks / Trade-offs

Additional Notes

[FlorentClarret]

/merge

[dd-devflow]

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Note: if you pushed new commits since the last approval, you may need additional approval.
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[agent-platform-auto-pr]

Gitlab CI Configuration Changes

Modified Jobs

internal_kubernetes_deploy_experimental

  internal_kubernetes_deploy_experimental:
    image: 486234852809.dkr.ecr.us-east-1.amazonaws.com/ci/datadog-agent-buildimages/deb_x64$DATADOG_AGENT_BUILDIMAGES_SUFFIX:$DATADOG_AGENT_BUILDIMAGES
    needs:
    - artifacts: false
      job: docker_trigger_internal
    - artifacts: false
      job: docker_trigger_internal-ot
    - artifacts: false
      job: docker_trigger_cluster_agent_internal
-   - artifacts: false
-     job: deploy_packages_windows-x64-7
    - artifacts: false
      job: k8s-e2e-main
      optional: true
    rules:
    - if: $FORCE_K8S_DEPLOYMENT == "true"
      when: always
    - if: $CI_COMMIT_BRANCH != "main"
      when: never
    - if: $DDR != "true"
      when: never
    - if: $APPS !~ "/^datadog-agent/"
      when: never
    - if: $DEPLOY_AGENT == "true" || $DDR_WORKFLOW_ID != null
    script:
    - GITLAB_TOKEN=$($CI_PROJECT_DIR/tools/ci/fetch_secret.sh $GITLAB_TOKEN write_api)
      || exit $?; export GITLAB_TOKEN
    - inv pipeline.trigger-child-pipeline --project-name DataDog/k8s-datadog-agent-ops
      --git-ref main --variable OPTION_AUTOMATIC_ROLLOUT --variable EXPLICIT_WORKFLOWS
      --variable OPTION_PRE_SCRIPT --variable SKIP_PLAN_CHECK --variable APPS --variable
      BAZEL_TARGET --variable DDR --variable DDR_WORKFLOW_ID --variable TARGET_ENV --variable
      DYNAMIC_BUILD_RENDER_TARGET_FORWARD_PARAMETERS --variable BUNDLE_VERSION_OVERRIDE
    stage: internal_kubernetes_deploy
    tags:
    - arch:amd64
    variables:
      BUNDLE_VERSION_OVERRIDE: v${CI_PIPELINE_ID}-${CI_COMMIT_SHORT_SHA}
      EXPLICIT_WORKFLOWS: //workflows:beta_builds.agents_nightly.staging-deploy.publish,//workflows:beta_builds.agents_nightly.staging-validate.publish,//workflows:beta_builds.agents_nightly.prod-wait-business-hours.publish,//workflows:beta_builds.agents_nightly.prod-deploy.publish,//workflows:beta_builds.agents_nightly.prod-validate.publish,//workflows:beta_builds.agents_nightly.publish-image-confirmation.publish
      OPTION_AUTOMATIC_ROLLOUT: 'true'
      OPTION_PRE_SCRIPT: patch-cluster-images-operator.sh env=ci ${CI_COMMIT_REF_SLUG}-ot-beta-jmx-${CI_COMMIT_SHORT_SHA}
        ${CI_COMMIT_REF_SLUG}-${CI_COMMIT_SHORT_SHA}
      SKIP_PLAN_CHECK: 'true'

Changes Summary

Removed	Modified	Added	Renamed
0	1	0	0

ℹ️ Diff available in the job log.

[agent-platform-auto-pr]

[Fast Unit Tests Report]

On pipeline 48134655 (CI Visibility). The following jobs did not run any unit tests:

Jobs:

• tests_deb-arm64-py3
• tests_deb-x64-py3
• tests_flavor_dogstatsd_deb-x64
• tests_flavor_heroku_deb-x64
• tests_flavor_iot_deb-x64
• tests_rpm-arm64-py3
• tests_rpm-x64-py3
• tests_windows-x64

If you modified Go files and expected unit tests to run in these jobs, please double check the job logs. If you think tests should have been executed reach out to #agent-devx-help

[dd-devflow]

🚂 MergeQueue: pull request added to the queue

The median merge time in main is 22m.

Use /merge -c to cancel this operation!

[cit-pr-commenter]

Regression Detector

Regression Detector Results

Run ID: d09c73d9-c74a-4e63-bdea-fbd6a9c89c0c Metrics dashboard Target profiles

Baseline: 9722934
Comparison: cf7c86e

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

No significant changes in experiment optimization goals

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	uds_dogstatsd_to_api_cpu	% cpu utilization	+0.98	[+0.24, +1.72]	1	Logs
➖	idle_all_features	memory utilization	+0.71	[+0.62, +0.81]	1	Logs bounds checks dashboard
➖	tcp_syslog_to_blackhole	ingress throughput	+0.59	[+0.53, +0.65]	1	Logs
➖	otel_to_otel_logs	ingress throughput	+0.26	[-0.54, +1.06]	1	Logs
➖	basic_py_check	% cpu utilization	+0.21	[-2.60, +3.03]	1	Logs
➖	idle	memory utilization	+0.17	[+0.12, +0.22]	1	Logs bounds checks dashboard
➖	file_to_blackhole_500ms_latency	egress throughput	+0.14	[-0.10, +0.38]	1	Logs
➖	pycheck_lots_of_tags	% cpu utilization	+0.12	[-2.39, +2.63]	1	Logs
➖	file_to_blackhole_1000ms_latency	egress throughput	+0.04	[-0.44, +0.52]	1	Logs
➖	tcp_dd_logs_filter_exclude	ingress throughput	+0.00	[-0.01, +0.01]	1	Logs
➖	file_to_blackhole_300ms_latency	egress throughput	-0.00	[-0.18, +0.18]	1	Logs
➖	uds_dogstatsd_to_api	ingress throughput	-0.00	[-0.07, +0.07]	1	Logs
➖	file_to_blackhole_0ms_latency	egress throughput	-0.01	[-0.33, +0.32]	1	Logs
➖	file_to_blackhole_100ms_latency	egress throughput	-0.01	[-0.24, +0.22]	1	Logs
➖	file_tree	memory utilization	-0.23	[-0.36, -0.10]	1	Logs
➖	quality_gate_idle	memory utilization	-0.40	[-0.45, -0.36]	1	Logs bounds checks dashboard
➖	quality_gate_idle_all_features	memory utilization	-0.59	[-0.69, -0.49]	1	Logs bounds checks dashboard

Bounds Checks

perf	experiment	bounds_check_name	replicates_passed
❌	idle	memory_usage	9/10
✅	file_to_blackhole_0ms_latency	memory_usage	10/10
✅	file_to_blackhole_1000ms_latency	memory_usage	10/10
✅	file_to_blackhole_100ms_latency	memory_usage	10/10
✅	file_to_blackhole_300ms_latency	memory_usage	10/10
✅	file_to_blackhole_500ms_latency	memory_usage	10/10
✅	idle_all_features	memory_usage	10/10
✅	quality_gate_idle	memory_usage	10/10
✅	quality_gate_idle_all_features	memory_usage	10/10

Explanation

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".