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
Summary
The documentation page demonstrates subtle Windows bias by listing Windows protocols (SMB) alongside Linux protocols (NFS) but often mentions SMB before NFS, and does not provide explicit Linux-specific usage examples or guidance. While Linux protocols and workloads are referenced, there is a lack of parity in example depth, with no Linux command-line or workflow illustrations. The documentation also omits Linux-specific tools or patterns (e.g., mounting via CLI, integration with Linux-native utilities), and does not address Linux-specific performance tuning or troubleshooting.
Recommendations
  • Add explicit Linux usage examples, such as mounting Azure Files or NetApp Files via NFS on Linux using CLI commands.
  • Include Linux-specific performance optimization tips (e.g., tuning NFS client settings, using Lustre mount options).
  • Ensure protocol lists and integration notes mention Linux options first or equally, and clarify multiprotocol limitations for Linux and Windows.
  • Provide troubleshooting steps or best practices for Linux environments, such as SELinux considerations, systemd automount, or integration with Linux-based orchestration tools.
  • Reference Linux-native tools (e.g., BlobFuse2, FIO benchmarking on Linux) and provide sample commands.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #250 in_progress Clean Clean
2026-01-13 00:00 #246 completed Clean Clean
2026-01-11 00:00 #240 completed Clean Clean
2026-01-10 00:00 #237 completed Clean Clean
2026-01-09 00:34 #234 completed Clean Clean
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 Clean Clean