Document Details
How To Clean Up Ssisdb Logs With Elastic Jobs
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
windows_first
missing_linux_example
Summary
The documentation page demonstrates a Windows bias by exclusively referencing SQL Server Management Studio (SSMS) for configuration steps, using Windows-centric terminology (Object Explorer, right-click, dialog boxes), and omitting any mention of Linux/macOS alternatives for connecting to and managing SSISDB. All screenshots and walkthroughs assume SSMS, which is only available on Windows. There are no examples using cross-platform tools (Azure Data Studio, sqlcmd, etc.), nor any guidance for Linux/macOS users.
Recommendations
- Add instructions for configuring SSISDB log clean-up properties using T-SQL scripts that can be run from any platform (e.g., via Azure Data Studio, sqlcmd, or other cross-platform tools).
- Include screenshots or walkthroughs using Azure Data Studio, which runs on Windows, Linux, and macOS.
- Explicitly mention that SSMS is Windows-only and suggest alternatives for Linux/macOS users.
- Provide PowerShell and T-SQL examples for all steps, not just Elastic Database Jobs, to ensure parity.
- Add a section or note for Linux/macOS users outlining how to perform all tasks without SSMS.
Create Pull Request
Scan History
| Date | Scan | Status | Result |
|---|---|---|---|
| 2026-01-12 00:00 | #99 | completed |
Biased
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| 2026-01-11 06:20 | #98 | completed |
Biased
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| 2026-01-10 00:00 | #92 | completed |
 Clean
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| 2026-01-06 22:28 | #78 | completed |
Clean
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| 2025-12-29 18:00 | #48 | cancelled |
Clean
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| 2025-12-15 00:00 | #7 | completed |
Clean
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| 2025-12-14 05:05 | #6 | completed |
Clean
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