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omnibus: build python, openssl & FIPS provider on Windows #32096

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What does this PR do?

Start building OpenSSL, Python and the FIPS provider on Windows

Motivation

This allows us to have better control over our OpenSSL versions, since we will now control it on Windows.
Buliding the FIPS provider is required for FedRAMP High

Describe how you validated your changes

Possible Drawbacks / Trade-offs

The FIPS provider recipe is not technically FIPS compliant since we switched from make install to make install_fips
This is a shortcut to have something working on windows, as we need to have pod2man available.
This tool is usually bundled with perl, but we need a very specific version of perl to be available for OpenSSL to build on Windows (a version that uses the native \ as path separators) and so far I haven't found an msys package that provides both the correct path separator and pod2man

Additional Notes

@chouquette chouquette requested review from a team as code owners December 12, 2024 14:05
@github-actions github-actions bot added the medium review PR review might take time label Dec 12, 2024
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agent-platform-auto-pr bot commented Dec 12, 2024

[Fast Unit Tests Report]

On pipeline 51046626 (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 12, 2024

Package size comparison

Comparison with ancestor d2548eb924601aa2427ff3566b18ebf14b5fa4e9

Diff per package
package diff status size ancestor threshold
datadog-agent-amd64-deb 1.41MB ⚠️ 1267.14MB 1265.73MB 140.00MB
datadog-iot-agent-amd64-deb 0.00MB 113.24MB 113.24MB 10.00MB
datadog-dogstatsd-amd64-deb 0.00MB 78.41MB 78.41MB 10.00MB
datadog-heroku-agent-amd64-deb 1.40MB ⚠️ 527.98MB 526.58MB 70.00MB
datadog-agent-x86_64-rpm 1.41MB ⚠️ 1276.37MB 1274.97MB 140.00MB
datadog-agent-x86_64-suse 1.41MB ⚠️ 1276.37MB 1274.97MB 140.00MB
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-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-agent-arm64-deb 1.39MB ⚠️ 1002.25MB 1000.85MB 140.00MB
datadog-iot-agent-arm64-deb 0.00MB 108.72MB 108.72MB 10.00MB
datadog-dogstatsd-arm64-deb 0.00MB 55.65MB 55.65MB 10.00MB
datadog-agent-aarch64-rpm 1.40MB ⚠️ 1011.46MB 1010.07MB 140.00MB
datadog-iot-agent-aarch64-rpm 0.00MB 108.79MB 108.79MB 10.00MB

Decision

⚠️ Warning

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cit-pr-commenter bot commented Dec 12, 2024

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 2364ee43-9a52-43c7-a37d-a037eb97a165

Baseline: d2548eb
Comparison: 87a3996
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
file_tree memory utilization +1.18 [+1.06, +1.30] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization +0.66 [-0.07, +1.38] 1 Logs
tcp_syslog_to_blackhole ingress throughput +0.46 [+0.41, +0.51] 1 Logs
otel_to_otel_logs ingress throughput +0.40 [-0.27, +1.06] 1 Logs
quality_gate_idle memory utilization +0.14 [+0.09, +0.19] 1 Logs bounds checks dashboard
file_to_blackhole_0ms_latency_http1 egress throughput +0.03 [-0.74, +0.81] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput +0.02 [-0.44, +0.49] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.02 [-0.63, +0.67] 1 Logs
file_to_blackhole_0ms_latency_http2 egress throughput +0.00 [-0.87, +0.88] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.00 [-0.01, +0.01] 1 Logs
uds_dogstatsd_to_api ingress throughput -0.02 [-0.13, +0.09] 1 Logs
file_to_blackhole_500ms_latency egress throughput -0.03 [-0.80, +0.75] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.04 [-0.88, +0.81] 1 Logs
file_to_blackhole_300ms_latency egress throughput -0.04 [-0.67, +0.59] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.21 [-0.98, +0.55] 1 Logs
quality_gate_idle_all_features memory utilization -0.33 [-0.45, -0.21] 1 Logs bounds checks dashboard
quality_gate_logs % cpu utilization -1.36 [-4.29, +1.56] 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_0ms_latency_http1 lost_bytes 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, 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.
  • quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.

###############################
# Setup openssl dependency... #
###############################
mkdir "externals/openssl-bin-3.0.15/amd64/include"
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Any chance we can avoid hardcoding the version here?

###############################
# Setup openssl dependency... #
###############################
mkdir "externals/openssl-bin-3.0.15/amd64/include"
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❓ question:
should this be kept in sync with the openssl3 recipe?

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Not necessarily. That should match whatever the python build system expects, but as long as OpenSSL keeps a stable & backward compatible ABI & API (which they do) we can use any 3.x version we want


# note that starting with 3.7.3 on Windows, the zip should be created without the built-in pip
source :url => "https://dd-agent-omnibus.s3.amazonaws.com/python-windows-#{version}-amd64.zip",
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❓ question: ‏Do we build the exact same versions we previously had? Asking for the changelog mainly

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Yes, we still target 3.12.6 for now. The main change is that we can now use any openssl version we want, not the one that is shipped with the python release

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