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

Bias Types:
⚠️ windows_first
⚠️ windows_tools
⚠️ missing_linux_example
Summary:
The documentation demonstrates a Windows bias by referencing Windows-specific technologies (e.g., IIS, Windows Server Failover Clusters, Windows-specific best practices links) and omitting Linux-specific examples or guidance. References to high availability, disaster recovery, and migration scenarios are framed around Windows tools and patterns, with no mention of Linux-based SQL Server deployments or their migration nuances. Where links to best practices are provided, they point to Windows-specific documentation. There are no Linux or cross-platform PowerShell/Bash/CLI examples, and the documentation assumes a Windows-centric environment throughout.
Recommendations:
  • Add explicit guidance and examples for assessing and migrating SQL Server instances running on Linux (including supported distributions).
  • Include links to best practices for SQL Server on Linux in Azure, not just Windows.
  • When discussing high availability and disaster recovery, mention Linux-based clustering and failover options (e.g., Pacemaker, Linux witness options) alongside Windows Server Failover Clusters.
  • Provide parity in migration steps, screenshots, and configuration options for both Windows and Linux SQL Server sources.
  • Where PowerShell or Windows-specific tools are referenced, also provide equivalent Bash/CLI/Linux-native commands and workflows.
  • Clarify in each section whether the guidance applies to both Windows and Linux SQL Server deployments, or specify differences as needed.
GitHub Create pull request

Scan History

Date Scan ID Status Bias Status
2025-08-17 00:01 #83 in_progress ✅ Clean
2025-07-13 21:37 #48 completed ❌ Biased
2025-07-12 23:44 #41 in_progress ❌ Biased
2025-07-09 13:09 #3 cancelled ✅ Clean
2025-07-08 04:23 #2 cancelled ❌ Biased