#Azure jupyter notebook tutorial how to#
#Azure jupyter notebook tutorial manual#
#Azure jupyter notebook tutorial code#

Use the Invoke-SqlNotebook cmdlet in the SqlServer module to run notebooks by using the SQL kernel.NET Interactive PowerShell kernel or the PowerShell kernel. Use the Invoke-ExecuteNotebook cmdlet in the PowerShellNotebook module to run notebooks by using the.Use papermill to run notebooks by using the Python kernel.The runbook can be in Python or the PowerShell runtime. For example, if a task returns a message stating that the disk is full. The Automation job runbook runs the relevant diagnostic notebooks when a certain condition occurs. When a new issue is created, a specific condition in Logic Apps triggers the next step: running an Automation job. You can use any task management system, like Microsoft Planner. You can use GitHub Actions or Azure DevOps Actions to complete additional checks to meet organizational policies, like credential scans.ДЄ task management system or an incident response system is used to log, assign, and resolve issues. GitHub or Azure DevOps is used as source control for the reusable notebooks.

#Azure jupyter notebook tutorial code#

NET languages).NET Interactive Jupyter Notebooks in Visual Studio Code support polyglot, which allows you to use more than one language in a single notebook. The notebook author can write the code in languages like Python, PowerShell, or. The notebooks include code for troubleshooting issues and descriptions that explain the troubleshooting steps. Team members use Azure Data Studio to write, view, and run the diagnostic or troubleshooting notebooks in Jupyter Notebook format. This scenario covers a diagnostic/troubleshooting development and operations flow at a high level.

Trigger mitigation steps for common problems.Дownload a PowerPoint file of this architecture.

Automate routine tasks like data extraction, transformation, or loading.

You can create, edit, and test Jupyter Notebooks manually by using your favorite client tools, like Visual Studio Code and Azure Data Studio. You can use Azure Logic Apps and Azure Automation to automate the troubleshooting guides, diagnostic steps, or other tasks that you have in Jupyter Notebooks.

#Azure jupyter notebook tutorial how to#

Examples include backing up and restoring a database or creating a tutorial on how to diagnose application health issues.

#Azure jupyter notebook tutorial manual#

Specifically, this solution shows how to write troubleshooting guides or diagnostic steps in Jupyter Notebooks that you can reuse, test, and automate.Д«eyond troubleshooting and diagnostics, you can apply this methodology to routine scenarios that benefit from automation but that sometimes require manual execution. This article applies to businesses or teams that want to reduce their manual processes, also known as toil, in troubleshooting or diagnostics.