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Introduce hermetic MinGW toolchain#51167

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Introduce hermetic MinGW toolchain#51167
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jsgette/ABLD-487/hermetic_windows_cc_toolchain_part1

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@JSGette JSGette commented May 21, 2026

What does this PR do?

Today the only way to build the Agent on Windows is to rely on heavy Build Images with everything pre-installed inside. In case of MinGW this means we rely on a hardcoded path to resolve the cc_toolchain in bazel in order to compile native dependencies (e.g. openssl). This PR is the first chunk that brings a reproducible distribution of MinGW that can be downloaded and used outside Build Images.

With this change only we still cannot build the Agent outside of Build Images but it's a first step towards that goal.

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Describe how you validated your changes

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@JSGette JSGette self-assigned this May 21, 2026
@JSGette JSGette added changelog/no-changelog No changelog entry needed qa/no-code-change No code change in Agent code requiring validation labels May 21, 2026
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@codex review

@dd-octo-sts dd-octo-sts Bot added the internal Identify a non-fork PR label May 21, 2026
@github-actions github-actions Bot added the medium review PR review might take time label May 21, 2026
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Reviewed commit: 9df5714f14

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Comment on lines 47 to 48
default_feature = feature(
name = "default_env_feature",
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P1 Badge Restore MinGW PATH for Windows resource actions

Dropping the toolchain env_set means C/C++ action environments no longer prepend the MinGW bin directory, but win_resource/win_messagetable still pass that environment to windres. windres preprocesses .rc files via gcc by default, so without MinGW on PATH it can’t spawn the preprocessor under strict action env and Windows resource compilation fails for targets using these rules.

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datadog-prod-us1-5 Bot commented May 21, 2026

Pipelines

Fix all issues with BitsAI

⚠️ Warnings

🚦 6 Pipeline jobs failed

DataDog/datadog-agent | windows_msi_and_bosh_zip_x64-a7   View in Datadog   GitLab

🔧 Fix in code (Fix with Cursor). Makefile:5290: libcrypto-shlib-libcrypto.res.obj: windres: No such file or directory

DataDog/datadog-agent | bazel:mod-deps   View in Datadog   GitLab

🛟 This job is unlikely to succeed on retry. Please review your pipeline configuration. Dependency resolution error in MODULE.bazel.lock. Please run 'bazel mod deps --repo_env=REPIN=1' to fix.

DataDog/datadog-agent | bazel:test:windows-amd64   View in Datadog   GitLab

🛟 This job is unlikely to succeed on retry. Please review your pipeline configuration. Build failed due to missing 'windres' tool, preventing resource object creation for libcrypto.

View all 6 failed jobs.

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🔗 Commit SHA: de3df67 | Docs | Datadog PR Page | Give us feedback!

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Reviewed commit: de3df67930

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Comment on lines 47 to 48
default_feature = feature(
name = "default_env_feature",
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P1 Badge Restore PATH env for MinGW-backed actions

Removing the toolchain env_set for compile/link actions drops the MinGW bin directory from cc_common.get_environment_variables(...), but Windows resource builds still rely on that environment when invoking windres. GNU windres defaults to running gcc -E as its preprocessor, so without PATH pointing at the toolchain bin directory, resource compilation can fail with "gcc not found" under strict action env / sandboxed or remote-style execution. This is a regression from the previous toolchain behavior where PATH was explicitly injected.

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dd-octo-sts Bot commented May 21, 2026

Files inventory check summary

File checks results against ancestor 90df1df6:

Results for datadog-agent_7.81.0~devel.git.147.de3df67.pipeline.114520049-1_amd64.deb:

No change detected

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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 8068a366-afa0-46f8-8161-04080ebaedb5

Baseline: 90df1df
Comparison: de3df67
Diff

Optimization Goals: ✅ No significant changes detected

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf experiment goal Δ mean % Δ mean % CI trials links
docker_containers_cpu % cpu utilization +1.38 [-1.55, +4.32] 1 Logs

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
docker_containers_cpu % cpu utilization +1.38 [-1.55, +4.32] 1 Logs
tcp_syslog_to_blackhole ingress throughput +1.22 [+1.04, +1.40] 1 Logs
quality_gate_logs % cpu utilization +0.65 [-0.38, +1.67] 1 Logs bounds checks dashboard
ddot_metrics_sum_delta memory utilization +0.50 [+0.31, +0.69] 1 Logs
ddot_metrics_sum_cumulative memory utilization +0.30 [+0.15, +0.46] 1 Logs
ddot_logs memory utilization +0.30 [+0.24, +0.35] 1 Logs
file_tree memory utilization +0.15 [+0.10, +0.20] 1 Logs
otlp_ingest_logs memory utilization +0.11 [+0.02, +0.20] 1 Logs
file_to_blackhole_100ms_latency egress throughput +0.03 [-0.13, +0.19] 1 Logs
file_to_blackhole_1000ms_latency egress throughput +0.02 [-0.43, +0.48] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.02 [-0.38, +0.42] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput +0.01 [-0.09, +0.11] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.01 [-0.19, +0.20] 1 Logs
uds_dogstatsd_to_api_v3 ingress throughput +0.00 [-0.20, +0.20] 1 Logs
otlp_ingest_metrics memory utilization -0.00 [-0.16, +0.16] 1 Logs
uds_dogstatsd_20mb_12k_contexts_20_senders memory utilization -0.01 [-0.05, +0.04] 1 Logs
quality_gate_idle_all_features memory utilization -0.02 [-0.09, +0.04] 1 Logs bounds checks dashboard
file_to_blackhole_0ms_latency egress throughput -0.09 [-0.62, +0.44] 1 Logs
quality_gate_metrics_logs memory utilization -0.26 [-0.51, -0.02] 1 Logs bounds checks dashboard
ddot_metrics memory utilization -0.47 [-0.67, -0.26] 1 Logs
quality_gate_idle memory utilization -0.48 [-0.53, -0.44] 1 Logs bounds checks dashboard
ddot_metrics_sum_cumulativetodelta_exporter memory utilization -0.49 [-0.73, -0.25] 1 Logs
docker_containers_memory memory utilization -0.56 [-0.67, -0.46] 1 Logs

Bounds Checks: ✅ Passed

perf experiment bounds_check_name replicates_passed observed_value links
docker_containers_cpu simple_check_run 10/10 712 ≥ 26
docker_containers_memory memory_usage 10/10 244.55MiB ≤ 370MiB
docker_containers_memory simple_check_run 10/10 713 ≥ 26
file_to_blackhole_0ms_latency memory_usage 10/10 0.17GiB ≤ 1.20GiB
file_to_blackhole_0ms_latency missed_bytes 10/10 0B = 0B
file_to_blackhole_1000ms_latency memory_usage 10/10 0.20GiB ≤ 1.20GiB
file_to_blackhole_1000ms_latency missed_bytes 10/10 0B = 0B
file_to_blackhole_100ms_latency memory_usage 10/10 0.17GiB ≤ 1.20GiB
file_to_blackhole_100ms_latency missed_bytes 10/10 0B = 0B
file_to_blackhole_500ms_latency memory_usage 10/10 0.18GiB ≤ 1.20GiB
file_to_blackhole_500ms_latency missed_bytes 10/10 0B = 0B
quality_gate_idle intake_connections 10/10 3 ≤ 4 bounds checks dashboard
quality_gate_idle memory_usage 10/10 143.44MiB ≤ 147MiB bounds checks dashboard
quality_gate_idle total_bytes_received 10/10 743.01KiB ≤ 819.20KiB bounds checks dashboard
quality_gate_idle_all_features intake_connections 10/10 2 ≤ 4 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 427.20MiB ≤ 495MiB bounds checks dashboard
quality_gate_idle_all_features total_bytes_received 10/10 1.12MiB ≤ 1.25MiB bounds checks dashboard
quality_gate_logs intake_connections 10/10 4 ≤ 6 bounds checks dashboard
quality_gate_logs memory_usage 10/10 174.68MiB ≤ 195MiB bounds checks dashboard
quality_gate_logs missed_bytes 10/10 0B = 0B bounds checks dashboard
quality_gate_logs total_bytes_received 10/10 264.42MiB ≤ 292MiB bounds checks dashboard
quality_gate_metrics_logs cpu_usage 10/10 342.22 ≤ 2000 bounds checks dashboard
quality_gate_metrics_logs intake_connections 10/10 3 ≤ 6 bounds checks dashboard
quality_gate_metrics_logs memory_usage 10/10 370.82MiB ≤ 430MiB bounds checks dashboard
quality_gate_metrics_logs missed_bytes 10/10 0B = 0B bounds checks dashboard
quality_gate_metrics_logs total_bytes_received 10/10 0.94GiB ≤ 1.04GiB bounds checks dashboard

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 intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check total_bytes_received: 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.
  • quality_gate_idle_all_features, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check missed_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check intake_connections: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_metrics_logs, bounds check cpu_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check total_bytes_received: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check intake_connections: 10/10 replicas passed. Gate passed.

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