I started out as an ML developer and was deploying ML models in Azure. I was using Azure App Services with Flask, which served well for the purpose but now I wanted to implement something that could be consumed instantly and at a low cost.
I didn’t find any good source to accomplish this, so as any developer would do, I started using the trial and error method, it took a while for me to figure things out and make it work.
I faced a lot of hurdles and challenges while doing this, will discuss them in detail, it's always good to know when to use what.

Services used - Azure Function, Azure Machine Learning, and GitHub Actions