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 a Windows bias by referencing VMware and Microsoft Hyper-V environments first and exclusively when describing supported on-premises platforms for assessment. There is no mention of Linux-native hypervisors (such as KVM, Xen, or bare-metal Linux servers) or Linux-specific tooling. Additionally, there are no Linux command-line examples, nor is there guidance for deploying the Azure Migrate appliance on Linux systems, which are common for MySQL workloads.
Recommendations
  • Explicitly mention support for Linux-based environments, including KVM, Xen, and bare-metal Linux servers, in the assessment overview and supported platforms.
  • Provide Linux-specific instructions and examples for deploying and configuring the Azure Migrate appliance, including command-line steps and troubleshooting tips for Linux users.
  • Include parity in examples and references, such as showing both Windows and Linux deployment scenarios, and avoid listing Windows platforms first unless they are the majority use case.
  • Reference Linux-native tools and patterns where relevant, and clarify any limitations or differences in the assessment process for Linux environments.
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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 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 Clean Clean
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Clean Clean