We have learned how to create, configure, and deploy Microsoft Azure Functions. We will now learn about the best practices for using them:
- Microsoft Azure Functions don't have a huge support for Python like AWS Lambda. They have a very limited set of Python-based triggers. So, you need to write custom functions for most of them. Developers need to keep that in mind before taking a decision on using Microsoft Azure Functions. The languages supported by Microsoft Azure Functions are C#, F#, and JavaScript:

- The experimental languages that are supported by Microsoft Azure Functions are Bash, Batch, PHP, TypeScript, Python, and PowerShell:

- Make sure you use the security settings properly to secure your functions. You can find all the settings you need in the Platform features options:

- Finally, use monitoring as much as possible...