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 focuses on Azure Migrate assessment types and prerequisites but demonstrates a Windows-first bias. Examples and terminology prioritize Windows-centric virtualization platforms (VMware, Hyper-V, physical servers) and do not mention Linux-specific environments or provide Linux-specific examples. There is no reference to Linux tools, distributions, or considerations for Linux workloads, nor are there examples of Linux command-line usage or integration.
Recommendations
  • Add explicit references to Linux workloads, including common Linux distributions and scenarios (e.g., migrating Ubuntu, CentOS, or Red Hat servers).
  • Include examples or guidance for Linux-specific discovery and assessment, such as using SSH, Linux agents, or integration with Linux-native tools.
  • Clarify that the Azure Migrate appliance supports both Windows and Linux servers, and provide parity in instructions and troubleshooting for both OS types.
  • Mention Linux-specific considerations in performance data collection, such as differences in metrics or collection intervals.
  • Provide sample assessment workflows for Linux environments alongside Windows/VMware/Hyper-V examples.
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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 Biased Biased
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 Clean Clean
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 Biased Biased
2025-07-12 23:44 #41 cancelled Clean Clean
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased