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_tools
windows_first
Summary
The documentation page shows mild Windows bias, primarily in references to Windows-specific networking concepts and tools (e.g., NIC Teaming, Failover Clustering, SMB file shares, and links to Windows Server docs). These references appear before or instead of Linux equivalents, and there is no mention of Linux-based alternatives or guidance for Linux/macOS users in cluster witness or network topology sections. However, the main configuration steps are performed via a local web UI, which is platform-agnostic.
Recommendations
  • Add references or guidance for Linux-based clustering and network redundancy (e.g., Linux bonding, Pacemaker, NFS file shares).
  • Where Windows-specific tools or concepts are mentioned (NIC Teaming, SMB file shares, Failover Clustering), provide Linux equivalents or clarify if the feature is only supported on Windows.
  • Include examples or links for configuring cluster witness and network topology using Linux tools.
  • Clarify whether the local web UI is fully supported on Linux/macOS browsers and note any limitations.
  • Explicitly state platform requirements or limitations for advanced features (e.g., if only Windows-based file shares are supported for witness).
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
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Clean Clean
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased