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Add Secrets test in ProgramData #32438

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@jack0x2 jack0x2 commented Dec 20, 2024

What does this PR do?

Adds a test with the secrets dir in the C:\ProgramData\Datadog directory.

Motivation

https://datadoghq.atlassian.net/browse/WINA-1251

Test is needed for making sure updates to ProgramData permissions don't break secrets permissions we expect (#32117).

Describe how you validated your changes

Adds new e2e test.

Possible Drawbacks / Trade-offs

N/A

Additional Notes

@jack0x2 jack0x2 added qa/no-code-change No code change in Agent code requiring validation changelog/no-changelog labels Dec 20, 2024
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Dec 20, 2024
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[Fast Unit Tests Report]

On pipeline 51678319 (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

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Uncompressed package size comparison

Comparison with ancestor 8b859513af058e2e0d701453b15ebd18c1b56371

Diff per package
package diff status size ancestor threshold
datadog-agent-x86_64-rpm 0.01MB ⚠️ 1197.23MB 1197.22MB 140.00MB
datadog-agent-x86_64-suse 0.01MB ⚠️ 1197.23MB 1197.22MB 140.00MB
datadog-agent-amd64-deb 0.01MB ⚠️ 1187.97MB 1187.95MB 140.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.57MB 78.57MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.64MB 78.64MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.64MB 78.64MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.77MB 55.77MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 504.87MB 504.87MB 70.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.33MB 113.33MB 10.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.40MB 113.40MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.40MB 113.40MB 10.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.80MB 108.80MB 10.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.87MB 108.87MB 10.00MB
datadog-agent-aarch64-rpm -0.00MB 943.17MB 943.18MB 140.00MB
datadog-agent-arm64-deb -0.00MB 933.93MB 933.93MB 140.00MB

Decision

⚠️ Warning

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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=51678319 --os-family=ubuntu

Note: This applies to commit a213bae

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 47226080-c1f2-4866-9167-d5be5c26a379

Baseline: 8b85951
Comparison: a213bae
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 +4.10 [+0.82, +7.38] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization +0.72 [+0.05, +1.40] 1 Logs
quality_gate_idle_all_features memory utilization +0.44 [+0.35, +0.53] 1 Logs bounds checks dashboard
file_to_blackhole_0ms_latency egress throughput +0.13 [-0.72, +0.98] 1 Logs
file_to_blackhole_300ms_latency egress throughput +0.01 [-0.63, +0.65] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.01 [-0.91, +0.93] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.01, +0.01] 1 Logs
quality_gate_idle memory utilization -0.01 [-0.05, +0.03] 1 Logs bounds checks dashboard
uds_dogstatsd_to_api ingress throughput -0.02 [-0.14, +0.10] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.03 [-0.84, +0.78] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.04 [-0.81, +0.74] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.04 [-0.81, +0.73] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.07 [-0.54, +0.39] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.09 [-0.94, +0.76] 1 Logs
file_tree memory utilization -0.32 [-0.45, -0.19] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.62 [-0.68, -0.56] 1 Logs
otel_to_otel_logs ingress throughput -1.51 [-2.19, -0.82] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_0ms_latency_http1 lost_bytes 9/10
file_to_blackhole_0ms_latency lost_bytes 10/10
file_to_blackhole_0ms_latency memory_usage 10/10
file_to_blackhole_0ms_latency_http1 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 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_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.
  • 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.

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