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fix(package_size): Sort the size in display message #32014

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@chouetz chouetz commented Dec 11, 2024

What does this PR do?

Sort the package sizes in the PR display message, by decreasing diff, then by flavor, then by os.
To improve a bit the code I defined a PackageSize struct which stores all information we need to compute/display the size.
I also changed a bit the log message for gitl

Motivation

Display the "most important" lines first.

Describe how you validated your changes

There are a bunch of ~ unit tests in the code

Possible Drawbacks / Trade-offs

Additional Notes

@chouetz chouetz requested review from a team as code owners December 11, 2024 13:18
@chouetz chouetz added changelog/no-changelog qa/no-code-change No code change in Agent code requiring validation labels Dec 11, 2024
@github-actions github-actions bot added the medium review PR review might take time label Dec 11, 2024
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agent-platform-auto-pr bot commented Dec 11, 2024

[Fast Unit Tests Report]

On pipeline 50969373 (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 11, 2024

Uncompressed package size comparison

Comparison with ancestor 021ff675b936500389da4939165409df705db7b7

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 0.00MB 1265.73MB 1265.73MB 140.00MB
datadog-agent-x86_64-rpm 0.00MB 1274.97MB 1274.97MB 140.00MB
datadog-agent-x86_64-suse 0.00MB 1274.97MB 1274.97MB 140.00MB
datadog-agent-arm64-deb 0.00MB 1000.85MB 1000.85MB 140.00MB
datadog-agent-aarch64-rpm 0.00MB 1010.07MB 1010.07MB 140.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.41MB 78.41MB 10.00MB
datadog-dogstatsd-x86_64-rpm 0.00MB 78.49MB 78.49MB 10.00MB
datadog-dogstatsd-x86_64-suse 0.00MB 78.49MB 78.49MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.65MB 55.65MB 10.00MB
datadog-heroku-agent-amd64-deb 0.00MB 526.58MB 526.58MB 70.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.24MB 113.24MB 10.00MB
datadog-iot-agent-x86_64-rpm 0.00MB 113.31MB 113.31MB 10.00MB
datadog-iot-agent-x86_64-suse 0.00MB 113.31MB 113.31MB 10.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.72MB 108.72MB 10.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.79MB 108.79MB 10.00MB

Decision

✅ Passed

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cit-pr-commenter bot commented Dec 11, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 53b4a7a0-0268-4394-8ee7-be16da174ed4

Baseline: 021ff67
Comparison: f027109
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 +0.97 [-1.97, +3.91] 1 Logs
quality_gate_idle_all_features memory utilization +0.96 [+0.85, +1.07] 1 Logs bounds checks dashboard
file_tree memory utilization +0.51 [+0.38, +0.63] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization +0.25 [-0.47, +0.98] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.19 [-0.58, +0.96] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.09 [-0.78, +0.95] 1 Logs
file_to_blackhole_300ms_latency egress throughput +0.04 [-0.59, +0.68] 1 Logs
file_to_blackhole_0ms_latency egress throughput +0.04 [-0.84, +0.91] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.04 [-0.76, +0.83] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.01 [-0.69, +0.70] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.01, +0.01] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.01 [-0.09, +0.07] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput -0.03 [-0.49, +0.44] 1 Logs
file_to_blackhole_0ms_latency_http1 egress throughput -0.08 [-0.98, +0.81] 1 Logs
quality_gate_idle memory utilization -0.40 [-0.44, -0.35] 1 Logs bounds checks dashboard
otel_to_otel_logs ingress throughput -0.58 [-1.26, +0.10] 1 Logs
tcp_syslog_to_blackhole ingress throughput -1.07 [-1.14, -1.00] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_0ms_latency_http2 lost_bytes 9/10
file_to_blackhole_100ms_latency lost_bytes 9/10
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 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, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, 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.

@chouetz chouetz force-pushed the nschweitzer/beautify branch from 5eb6c2b to f027109 Compare December 12, 2024 15:53
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