Hi everyone,
We built a web application where we utilized firebase functions for
lightweight works such as login, update profile etc.
and we deployed two functions to *App Engine*.
*Function 1*: *Downloading *an audio/video file from firebase storage and
*converting* it with ffmpeg and *uploading *converted version back to
storage.
But App Engine is terminating with a signal in the middle of download
process (after ~40 seconds) if the file is larger (>500MB)
*Function 2*: *Calling* Google API (ASR) and *waiting* response (progress
%) and *writing* this response to firestore until it's completed (100%).
This process may take between 1 min - 20 min depending on the file length.
But here we get two different problems.
*1. Either App Engine* creates a new instance in the middle of API call
process and kills current instance (since we set instances# to 1) even
there is no concurrent requests.
I don't understand this behavior since this should not require intensive
CPU or memory usage. App Engine gives following Info in logs:
This request caused a new process to be started for your application, and
thus caused your application code to be loaded for the first time. This
request may thus take longer and use more CPU than a typical request for
your application
*2. Or App Engine* terminates due to idle_timeout even it is waiting async
API response and writing it to db.
It looks like when there is no incoming requests, App Engine is considering
itself as idle and terminating after a while (~10 minutes)
Eventhough documentation says:
[image: GCP Docs.PNG] <about:invalid#zClosurez>
We are new to GCP and App Engine, so maybe we are using wrong product (e.g.
Compute Engine?)
and we saw PubSub, Cloud Tasks etc. which looks like a solution for our
case.
Thus I wonder what could be most elegant way to approach the problem and
implement solution?
Any comment, feedback is appreciated.
Regards
A. Faruk Acar
App Engine app.yaml Configuration
runtime: nodejs10
manual_scaling:
instances: 1
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