Durable functions in Python for Azure Functions | Azure Friday

David Justo joins Scott Hanselman to discuss durable functions in Python, which is an extension of Azure Functions for writing stateful functions in a serverless compute environment. The extension is already available for C# and JavaScript and is now available for Python.
0:00 - Introduction
1:38 - Overview of durable functions and patterns
7:13 - A few demos
16:41 - Discussion and wrap-up
◉ Create your first durable function in Python - aka.ms/azfr/666/01
◉ What are Durable Functions? - aka.ms/azfr/666/02
◉ Azure / azure-functions-durable-python on GitHub - aka.ms/azfr/666/03
◉ Create a long-running serverless workflow with Durable Functions - aka.ms/azfr/666/04
◉ Create a free account (Azure) - aka.ms/azfr/666/free
#Microsoft #Azure #AzureFriday

[@shakthivelcr7]

That fan in fan out architecture is fkn amazing!!

[@SagnikSaha94]

Durable functions looks to be more interesting to work with 🙂

[@sujaikarnam1488]

Do we need to create separate Azure Functions for each activity in the pipeline, or is it going to be one Azure Function App? For instance, in Pattern 1 & 2, the functions F1, F2, F3 and F4 are separate azure functions or they are separate python functions (like a package structure). Please help me understand.
But, yes this really looks wonderful and will help us optimize our python azure function ETL process!

[@sujaikarnam1488]

Never mind...I figured out after following the example creating the durable function in python article. Its one function app with multiple functions within it.

[@AnkitKumar-fn9wx]

What is the time out limit for an orchestrator function, What if one of my activity function or combining all activity function takes more than 30 mins to execute. Will it timeout as in normal functions?

[@D77798]

the premium plans have unlimited runtime i believe\

[@user-ux8ej3fj9t]

How do we terminate a durable function in python?