PSRule.Rules.AzureDevOps
aztraphile
| PSRule.Rules.AzureDevOps | aztraphile | |
|---|---|---|
| 2 | 4 | |
| 23 | 6 | |
| - | - | |
| 8.3 | 7.7 | |
| about 1 month ago | 8 days ago | |
| PowerShell | PowerShell | |
| MIT License | - |
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PSRule.Rules.AzureDevOps
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PSRule.Rules.AzureDevOps v0.0.11 released
Check out the source code and install instructions on GitHub or checkout the module in the PowerShell Gallery
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PSRule module for Azure DevOps available for feedback
I have been a long time user of Azure DevOps and I have been using the Microsoft PSRule module for checking my Bicep templates for quite a while now. I like the flexible rule engine allowing to check for a wide range of issues. Now I have developed a PSRule module for checking Azure DevOps projects for common configuration issues. The module is available on GitHub and can be installed from the PowerShell Gallery.
aztraphile
- I slept on GenAI quite a while and am not a huge fan but I gotta admit it can come in handy - take a look at this logo I created for one of my sideprojects - maybe you get the idea behind the logo and can generate a better version?
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Meet aztraphile ⚡ a tool to help you quickly take your Python code and run it as an Azure Function App - see more in comments or here: https://github.com/luis261/aztraphile
Looking for a way to quickly convert your plain old Python functions into code that runs on the cloud? Well, look no further: aztraphile helps you experience the "less" in serverless by automating a lot of the tedious steps typically involved with setting up a new Function App. It enables you to get familiar with Functions in Azure hands-on by directly deploying sample code you can play around with, thus minimizing the amount of sifting through Microsoft Docs required to get up and running. It also ships with a bunch of additional code samples for the brand new V2 Python Azure Functions programming model so you can avoid writing boilerplate and get it right from the start instead of having to figure out common usage patterns on your own through painful trial and error.
What are some alternatives?
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