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
missing_linux_example
windows_first
Summary
The documentation is heavily oriented toward Windows file server environments, referencing Windows-specific technologies such as DFSR, Active Directory, and Azure File Sync (which only supports Windows Server endpoints). Examples and step-by-step instructions are exclusively for Windows-based servers, with no guidance for Linux file servers. While Azure Files supports SMB access from Linux/macOS, the disaster recovery workflows and replication strategies described are Windows-centric, and Linux users are left without actionable steps.
Recommendations
  • Add a dedicated section for disaster recovery of Linux-based file servers, outlining supported Azure Site Recovery scenarios and alternatives.
  • Clarify which features (e.g., DFSR, Azure File Sync) are Windows-only and suggest Linux equivalents or workarounds (such as rsync, NFS, or third-party tools).
  • Provide example workflows for Linux file servers, including how to replicate, failover, and recover using Azure-native or cross-platform tools.
  • When mentioning mounting Azure Files, include Linux/macOS instructions (e.g., using SMB or NFS clients) alongside Windows examples.
  • Explicitly state limitations for non-Windows environments and link to relevant cross-platform documentation.
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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
2025-07-12 23:44 #41 cancelled Biased Biased