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chore(fleet): Add datadog-secret-backend to the agent packages #31659

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What does this PR do?

Motivation

Describe how you validated your changes

Possible Drawbacks / Trade-offs

Additional Notes

@github-actions github-actions bot added short review PR is simple enough to be reviewed quickly team/agent-delivery team/agent-shared-components labels Dec 2, 2024
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cit-pr-commenter bot commented Dec 2, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 988981bf-be2d-4570-a720-fd8e3d0b747b

Baseline: c04b9f0
Comparison: 1385fb2
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
basic_py_check % cpu utilization +2.87 [-1.11, +6.86] 1 Logs
quality_gate_idle_all_features memory utilization +1.54 [+1.42, +1.65] 1 Logs bounds checks dashboard
pycheck_lots_of_tags % cpu utilization +1.47 [-2.00, +4.93] 1 Logs
quality_gate_logs % cpu utilization +1.10 [-1.88, +4.08] 1 Logs
otel_to_otel_logs ingress throughput +1.08 [+0.41, +1.76] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.78 [+0.01, +1.56] 1 Logs
quality_gate_idle memory utilization +0.67 [+0.62, +0.71] 1 Logs bounds checks dashboard
tcp_syslog_to_blackhole ingress throughput +0.22 [+0.17, +0.28] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.13 [-0.65, +0.90] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.02 [-0.70, +0.75] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.00 [-0.11, +0.12] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.01 [-0.89, +0.86] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.02 [-0.65, +0.61] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.04 [-0.49, +0.41] 1 Logs
file_tree memory utilization -0.71 [-0.84, -0.57] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -1.40 [-2.13, -0.67] 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_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 memory_usage 10/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 bounds checks dashboard
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_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_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.

@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch from 6cad328 to 3fafa63 Compare December 2, 2024 15:39
@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch from 3fafa63 to 8ebf11f Compare December 2, 2024 15:59
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agent-platform-auto-pr bot commented Dec 2, 2024

Test changes on VM

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

inv create-vm --pipeline-id=50262053 --os-family=ubuntu

Note: This applies to commit 1385fb2

@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch 3 times, most recently from 9e81f27 to 41f924a Compare December 2, 2024 17:01
@BaptisteFoy BaptisteFoy added changelog/no-changelog qa/done QA done before merge and regressions are covered by tests labels Dec 2, 2024
@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch 2 times, most recently from de1f6fd to 275d0a8 Compare December 3, 2024 08:15
@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch from 275d0a8 to 23618b0 Compare December 3, 2024 08:15
@github-actions github-actions bot added medium review PR review might take time and removed short review PR is simple enough to be reviewed quickly labels Dec 3, 2024
@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch 2 times, most recently from c380701 to 5448458 Compare December 3, 2024 12:14
@BaptisteFoy BaptisteFoy force-pushed the baptiste.foy/FA/embed-secrets-backend branch from 5448458 to 1385fb2 Compare December 3, 2024 12:25
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