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Update ProgramFile Directory permissions #32117

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@jack0x2 jack0x2 commented Dec 12, 2024

What does this PR do?

Updates permissions of ProgramData folder for windows operating systems

Motivation

https://datadoghq.atlassian.net/browse/WINA-1232

Describe how you validated your changes

Possible Drawbacks / Trade-offs

Additional Notes

@github-actions github-actions bot added team/windows-agent short review PR is simple enough to be reviewed quickly labels Dec 12, 2024
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agent-platform-auto-pr bot commented Dec 13, 2024

[Fast Unit Tests Report]

On pipeline 51041339 (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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agent-platform-auto-pr bot commented Dec 13, 2024

Package size comparison

Comparison with ancestor a2310cfe86c7bda2031672e1268cb749d631ec40

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 1265.94MB 1265.94MB 140.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.28MB 113.28MB 10.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.52MB 78.52MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 502.50MB 502.50MB 70.00MB
datadog-agent-x86_64-rpm -0.00MB 1275.18MB 1275.18MB 140.00MB
datadog-agent-x86_64-suse -0.00MB 1275.18MB 1275.18MB 140.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.35MB 113.35MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.35MB 113.35MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.59MB 78.59MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.59MB 78.59MB 10.00MB
datadog-agent-arm64-deb 0.00MB 1001.02MB 1001.02MB 140.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.76MB 108.76MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.74MB 55.74MB 10.00MB
datadog-agent-aarch64-rpm -0.00MB 1010.24MB 1010.24MB 140.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.83MB 108.83MB 10.00MB

Decision

✅ Passed

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agent-platform-auto-pr bot commented Dec 13, 2024

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=51041339 --os-family=ubuntu

Note: This applies to commit dbce6c6

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cit-pr-commenter bot commented Dec 13, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 323326d6-4bb1-4e6d-a566-ef6ae7b5df40

Baseline: a2310cf
Comparison: dbce6c6
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
otel_to_otel_logs ingress throughput +0.21 [-0.50, +0.92] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.17 [-0.62, +0.96] 1 Logs
quality_gate_idle memory utilization +0.10 [+0.05, +0.15] 1 Logs bounds checks dashboard
file_to_blackhole_1000ms_latency_linear_load egress throughput +0.07 [-0.40, +0.53] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.06 [+0.00, +0.11] 1 Logs
file_to_blackhole_0ms_latency egress throughput +0.05 [-0.64, +0.73] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput +0.04 [-0.80, +0.87] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.02 [-0.66, +0.69] 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 [-0.64, +0.63] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.02 [-0.11, +0.07] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput -0.15 [-1.08, +0.79] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.23 [-0.98, +0.53] 1 Logs
file_tree memory utilization -0.36 [-0.48, -0.23] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -0.57 [-1.29, +0.16] 1 Logs
quality_gate_idle_all_features memory utilization -0.57 [-0.69, -0.45] 1 Logs bounds checks dashboard
quality_gate_logs % cpu utilization -1.45 [-4.40, +1.51] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_0ms_latency_http2 lost_bytes 6/10
file_to_blackhole_500ms_latency 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 lost_bytes 10/10
file_to_blackhole_0ms_latency_http1 memory_usage 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 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 memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.

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