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 demonstrates Windows bias by providing more detailed troubleshooting steps and outcomes for Windows VMs compared to Linux VMs. For example, the static IP address issue is described as automatically resolved for Windows VMs, while Linux VMs require manual intervention. There are no Linux-specific troubleshooting commands or examples, and Windows scenarios (e.g., Windows Server 2008 R2 SP1) are mentioned explicitly, while Linux equivalents are not. No Linux tools or patterns are referenced, and troubleshooting steps do not include Linux command-line examples.
Recommendations
  • Provide Linux-specific troubleshooting examples, such as commands to check or restore static IP configuration (e.g., using nmcli or ifconfig).
  • Include parity in troubleshooting steps for both Windows and Linux VMs, detailing how to resolve common issues for each OS.
  • Reference Linux tools (e.g., systemctl, journalctl) when discussing service status checks, alongside Windows equivalents.
  • Explicitly mention Linux distributions and versions where relevant, similar to how Windows Server versions are referenced.
  • Add examples of how to check connectivity and service status on Linux VMs (e.g., using ping, telnet, systemctl) in addition to Windows.
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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
2025-08-19 00:01 #85 completed Clean Clean
2025-07-13 21:37 #48 completed Biased Biased
2025-07-12 23:44 #41 cancelled Biased Biased