Document Details
Hyper V Azure Architecture
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_tools
missing_linux_example
windows_first
Summary
The documentation is heavily focused on Windows environments, specifically Hyper-V and related Microsoft tools (e.g., System Center VMM, Recovery Services agent, Hyper-V Replica). There are no examples, references, or guidance for Linux-based hypervisors or management tools. All technical details, commands, and processes are described in terms of Windows technologies, with no mention of Linux equivalents or cross-platform considerations.
Recommendations
- Clearly state at the beginning that the guide is specific to Hyper-V (a Windows-only hypervisor) and does not apply to Linux-based virtualization platforms.
- Provide links or references to equivalent Azure Site Recovery documentation for Linux-based environments (e.g., VMware, physical Linux servers, or Linux KVM).
- If possible, add a comparison table or section outlining how disaster recovery architecture and processes differ for Linux-based hypervisors or workloads.
- Ensure that related documentation for Azure Site Recovery covers Linux scenarios with equal depth and visibility, and cross-link these resources.
- If any Linux guest VM considerations exist (e.g., agent installation, supported distributions), mention them explicitly.
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Scan History
| Date | Scan | Status | Result |
|---|---|---|---|
| 2026-01-14 00:00 | #250 | in_progress |
 Clean
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| 2026-01-13 00:00 | #246 | completed |
Biased
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| 2026-01-11 00:00 | #240 | completed |
Biased
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| 2026-01-10 00:00 | #237 | completed |
Biased
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| 2026-01-09 00:34 | #234 | completed |
Biased
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| 2026-01-08 00:53 | #231 | completed |
Biased
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| 2026-01-06 18:15 | #225 | cancelled |
Clean
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| 2025-08-17 00:01 | #83 | cancelled |
Clean
|
| 2025-07-13 21:37 | #48 | completed |
Biased
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| 2025-07-12 23:44 | #41 | cancelled |
Biased
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