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 bias toward Windows environments and tooling. It exclusively references SQL Server Management Studio (SSMS) for configuration steps, which is a Windows-only application, and does not mention or provide guidance for Linux or cross-platform alternatives (such as Azure Data Studio or command-line tools). All configuration and management steps are described using SSMS and T-SQL, with no examples for Linux-native workflows or tools. PowerShell is used for automation, but Bash or other Linux scripting options are not discussed. The documentation assumes the reader is using Windows-based tools and does not address Linux users' needs.
Recommendations
- Provide equivalent instructions using Azure Data Studio, which is cross-platform, for configuring SSISDB log clean-up properties.
- Include examples using Bash scripts and sqlcmd for invoking SSISDB stored procedures and automating log clean-up on Linux.
- Mention and demonstrate how to perform relevant tasks using the Azure CLI, which is available on Linux, macOS, and Windows.
- Add guidance for connecting to SSISDB from Linux environments, including authentication and connectivity tips.
- Ensure that all screenshots and step-by-step instructions are available for both Windows and Linux tools where possible.
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Scan History
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| 2026-01-14 00:00 | #250 | in_progress |
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| 2026-01-06 18:15 | #225 | cancelled |
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| 2025-09-08 00:00 | #105 | completed |
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| 2025-08-17 00:01 | #83 | cancelled |
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| 2025-07-13 21:37 | #48 | completed |
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| 2025-07-09 13:09 | #3 | cancelled |
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| 2025-07-08 04:23 | #2 | cancelled |
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