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 for the Azure Site Recovery Deployment Planner for VMware disaster recovery demonstrates a strong Windows bias. All instructions, requirements, and examples assume the use of Windows Server or Windows PC environments. There is no mention of Linux support, Linux-based prerequisites, or examples for running the tool on Linux systems. The tool itself appears to be Windows-only, and all references to operating systems, dependencies (.NET Framework, Visual C++ Redistributable), and report generation (Excel on Windows) are Windows-centric.
Recommendations
  • Explicitly state if the tool is Windows-only, and if so, provide rationale and alternatives for Linux users.
  • If possible, develop and document a Linux-compatible version of the Deployment Planner tool.
  • Provide guidance for running the tool in a Linux environment (e.g., via Wine, containers, or cross-platform .NET if supported).
  • Include Linux-specific examples and instructions for download, extraction, and execution.
  • List Linux equivalents for prerequisites (e.g., Mono/.NET Core, LibreOffice for Excel reports) if feasible.
  • Clarify any limitations for non-Windows users and suggest workarounds or alternative tools.
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Scan History

Date Scan Status Result
2026-01-17 00:00 #262 completed Biased Biased
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