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 page demonstrates a Windows bias by referencing 'Windows authentication' as a primary authentication method, omitting mention of Linux authentication patterns. It also assumes the installation of Sybase providers on the Integration Runtime without clarifying Linux support or providing Linux-specific instructions. There are no examples or guidance for Linux environments, and Windows terminology appears before or instead of cross-platform alternatives.
Recommendations:
  • Explicitly state whether the Sybase connector and required providers are supported on Linux-based Self-hosted Integration Runtime, and provide installation instructions for Linux if supported.
  • Include Linux authentication options or clarify the authentication mechanisms available on Linux hosts.
  • Provide examples and troubleshooting tips for both Windows and Linux environments, including any differences in setup or configuration.
  • Avoid listing 'Windows authentication' before or instead of cross-platform authentication methods unless it is the only supported option, and clarify platform-specific limitations.
  • If Linux is not supported, clearly state this in the prerequisites section to avoid confusion.
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Scan History

Date Scan ID Status Bias Status
2025-09-16 00:00 #113 completed ✅ Clean
2025-09-15 00:00 #112 completed ✅ Clean
2025-09-14 00:00 #111 completed ✅ Clean
2025-09-13 00:00 #110 completed ✅ Clean
2025-09-12 00:00 #109 completed ✅ Clean
2025-09-11 00:00 #108 completed ✅ Clean
2025-09-10 00:00 #107 completed ✅ Clean
2025-09-09 00:00 #106 completed ✅ Clean
2025-09-08 00:00 #105 completed ✅ Clean
2025-08-17 00:01 #83 in_progress ✅ Clean
2025-07-13 21:37 #48 completed ❌ Biased
2025-07-09 13:09 #3 cancelled ✅ Clean
2025-07-08 04:23 #2 cancelled ❌ Biased

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