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 exclusively describes using Power BI Desktop, a Windows-centric application, for visualizing Azure NSG flow logs. All setup and usage instructions assume the reader is using Windows, with no mention of Linux-compatible tools, alternatives, or cross-platform workflows. There are no examples or guidance for Linux users, nor any mention of Power BI on Linux or web-based alternatives until a brief 'Next steps' section referencing Elastic Stack.
Recommendations
  • Add explicit guidance for Linux users, such as how to access NSG flow logs and visualize them using open source or cross-platform tools (e.g., Elastic Stack, Grafana, Kibana).
  • Include Linux-specific setup instructions or examples, such as using Azure CLI, Python, or other scripting languages to download and process logs.
  • Mention Power BI web service as a possible alternative for non-Windows users, if applicable.
  • Present open source or cross-platform visualization options earlier in the document, not only in 'Next steps', to ensure parity and visibility.
  • Clarify platform requirements at the beginning and provide links to equivalent Linux workflows.
GitHub Create Pull Request

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
2025-07-09 13:09 #3 cancelled Clean Clean
2025-07-08 04:23 #2 cancelled Biased Biased