Sad Tux - Windows bias detected
This page contains Windows bias

About This Page

This page is part of the Azure documentation. It contains code examples and configuration instructions for working with Azure services.

Bias Analysis

Detected Bias Types
windows_first
missing_linux_example
windows_tools
Summary
The documentation page demonstrates a Windows bias in several key areas. The configuration server is deployed as a Windows Server 2016 VM, and all setup instructions, including MySQL installation, reference Windows paths (e.g., C:\Temp\ASRSetup) and Windows administrative patterns. There are no Linux-based deployment options or examples, and Linux users are only mentioned in the context of providing root credentials for mobility service installation. The documentation assumes the use of Windows tools and environments throughout, with no parity for Linux/macOS users.
Recommendations
  • Explicitly state that the configuration server must run Windows, and clarify if Linux-based deployment is unsupported.
  • If possible, provide guidance or alternatives for Linux-based environments, such as running the configuration server on a Linux VM or container.
  • Include Linux/macOS equivalents for steps involving file paths, administrative actions, and MySQL installation.
  • Add troubleshooting and FAQ sections specifically for Linux/macOS users, or clarify limitations.
  • Ensure that any scripts, tools, or downloads are cross-platform or provide platform-specific instructions.
GitHub Create Pull Request

Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Biased Biased
2026-01-13 00:00 #246 completed Biased Biased
2026-01-11 00:00 #240 completed Biased Biased
2026-01-10 00:00 #237 completed Biased Biased
2026-01-09 00:34 #234 completed Biased Biased
2026-01-08 00:53 #231 completed Biased Biased
2026-01-06 18:15 #225 cancelled Clean Clean
2025-08-29 00:01 #95 completed Clean Clean
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Clean Clean
2025-07-12 23:44 #41 cancelled Biased Biased