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
powershell_heavy
windows_tools
windows_first
missing_linux_example
Summary
The documentation page for Azure Service Fabric security best practices demonstrates a moderate Windows bias. It frequently references Windows-specific tools (such as PowerShell modules and Windows Server certificate services), and examples or instructions are given primarily for Windows environments. There is little to no mention of Linux equivalents, and Linux-specific guidance is missing for key tasks such as cluster creation, certificate management, and automation. The use of Windows terminology and tools is prevalent, and Linux users may need to infer or research alternative approaches.
Recommendations
  • Include Linux-specific instructions and examples for cluster creation, certificate management, and automation (e.g., using Azure CLI, Bash scripts, or Linux-based certificate tools).
  • Mention cross-platform tools where available, such as Azure CLI, and clarify which steps are applicable to both Windows and Linux clusters.
  • Provide guidance or links to documentation for managing Service Fabric clusters on Linux, including security best practices and automation workflows.
  • When referencing PowerShell or Windows Server tools, add equivalent Linux commands or note differences in workflow for Linux clusters.
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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
2025-08-17 00:01 #83 cancelled Clean Clean
2025-07-13 21:37 #48 completed Clean Clean
2025-07-12 23:44 #41 cancelled Biased Biased