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I am trying to figure out the best way to run a python process typically taking 10-30 (max an hour ish) minutes on my local machine. The process will be manually triggered, and may not be triggered for ours or days.

I am a bit confused, because I read official ms-docs stating that one should avoid long running processes in function apps (https://learn.microsoft.com/en-us/azure/azure-functions/performance-reliability#avoid-long-running-functions) but at the same time, the functionTimeout for the Premium and Dedicated plans can be unlimited.

I am hesitant to use a standard web app with an API since it seems overkill to have it running 24/7.

Are there any ideal resources for this?

bjornhartmann
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1 Answers1

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you can use consumption based Azure durable functions, they can run for hours or even days.

dmbuk
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  • How would one use durable functions to run a python sampling process, or for loop for that matter. I dont see how this can be decompled into smaller operations distributable over multiple functions? Any help is greatly appreciated – bjornhartmann Apr 08 '22 at 12:27
  • you would use Fan out/in pattern to distribute operations over multiple identical functions [link](https://learn.microsoft.com/en-us/azure/azure-functions/durable/durable-functions-overview?tabs=python#fan-in-out) @bjornhartmann – dmbuk Apr 10 '22 at 14:13
  • but such a python process cant be decoupled into smaller subprocesses? – bjornhartmann Apr 11 '22 at 07:50