Context: I'm in the process of designing an event-driven Python application. Various stakeholders have tasked me with investigating options for deploying the application using GraphQL endpoints within a serverless environment running on Azure Functions. End goal being that as the underlying data structures grow, we'd like to easily maintain the use-ability and performance of the application over time. Based on below resources it appears this is possible:
(https://azure.microsoft.com/en-us/resources/videos/build-2019-build-scalable-apis-using-graphql-and-serverless/) (https://azure.microsoft.com/en-us/resources/videos/azure-friday-live-building-serverless-python-apps-with-azure-functions/) (https://graphene-python.org/)
Question: User requirements dictate that the Azure Functions MUST be for internal use only and cannot be exposed publicly. Reading through the docs below I haven't found any resources on security config options for private endpoints.
https://learn.microsoft.com/en-us/azure/azure-functions/ Private endpoint in Azure
Can someone please point me in the right direction? Are Azure Functions even capable of this? And if they aren't can this be achieved with an alternative like Azure App Service?
