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
powershell_heavy
windows_tools
missing_linux_example
Summary
The documentation page demonstrates a Windows bias by referencing Azure PowerShell and the Azure portal as primary methods for creating service principals, mentioning Windows and Linux together but often listing Windows first, and lacking explicit Linux command-line examples (e.g., Bash, shell scripts) for key deployment steps. The automation and onboarding examples do not provide parity for Linux-specific tools or workflows, and there is no mention of Linux-native automation frameworks (like Ansible or shell scripting) or package managers (such as apt, yum) for agent installation.
Recommendations
  • Provide explicit Linux command-line examples (e.g., Bash scripts) alongside PowerShell and portal instructions for all deployment and management steps.
  • Reference Linux-native automation tools (such as Ansible, Chef, or shell scripting) when discussing at-scale onboarding and automation.
  • List Linux and Windows examples in parallel, ensuring Linux is not always mentioned second or as an afterthought.
  • Include instructions for installing the Connected Machine agent using common Linux package managers (apt, yum, zypper) and systemd service management.
  • Add troubleshooting and management guidance specific to Linux environments, including log file locations and diagnostic commands.
  • Ensure that all sample scripts and onboarding resources have Linux equivalents and are clearly documented.
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Scan History

Date Scan Status Result
2026-01-14 00:00 #251 completed Biased Biased
2026-01-13 00:00 #247 completed Biased Biased
2026-01-11 00:00 #241 completed Biased Biased
2026-01-10 00:00 #238 completed Biased Biased
2026-01-09 00:34 #235 completed Biased Biased
2026-01-08 00:53 #232 completed Biased Biased