Someone got a guide to setup a Google Cloud run for Prefect, im completly new with Google Cloud Run

I'd recommend giving this a look: https://docs.prefect.io/latest/guides/deployment/push-work-pools/?h=provision#__tabbed_1_3

Okay i think I can reach my Clodu run instance. But Im not able to install additional pip library with my deploy :

if __name__ == "__main__":
    flow.from_source(
    	source="<https://github.com/lxup/recomend-prefect.git>",
    	entrypoint="flows/tmdb_update.py:tmdb_update",
    ).deploy(
        name="tmdb_update",
        work_pool_name="worker",
        cron="0 9 * * *",
        job_variables={
            "env": {
                "EXTRA_PIP_PACKAGES": "supabase more_itertools psycopg2-binary",
            }
        }
    )

can you share what command you are using to build the image? the platform matters, there is a mention of it in the docs here

If I cant use the linux/amd64, which architecture im supposed to use 😅 ? There is my command to build the image :

docker build -t europe-west9-docker.pkg.dev/prefect-cloud-run/prefect-cloud/prefect:lastest . 
docker push europe-west9-docker.pkg.dev/prefect-cloud-run/prefect-cloud/prefect:lastest

My Dockerfile is :

# We're using the latest version of Prefect with Python 3.10
FROM prefecthq/prefect:2-latest

# Add our requirements.txt file to the image and install dependencies
COPY requirements.txt .
RUN pip install -r requirements.txt --trusted-host pypi.python.org --no-cache-dir

Requirements.txt contain my differente pip lib :

supabase
more_itertools
psycopg2-binary

But my script is pretty heavy in term of power, so do Google Cloud Run gonna handle it ? Because right now im testing the Prefect Cloud Worker, and Im getting a memory rate limite :

Flow run infrastructure exited with non-zero status code:
 Task flow-run-92c7e781-8b7a-4acf-951e-34c01625ef90-21b252ae51dcjhfqw-task0 failed with message: The configured memory limit was reached. (Error Code: 1)

im actually a little confused. Can you try specifically setting

--platform linux/amd64

while i ask some folks internally?

Google Cloud Run isnt supposed to fail when running images built with

linux/amd64

?

i am currently confused about that and trying to test it. I can update the docs if need be.

That weird because using the default prefect images with Google Cloud Run its working but my custom image isnt (I just add 3 pip install)

yeah im trying to figure this out as well. Can you try to build the image with

--platform linux/amd64

and see if that runs?

Im sorry but when Im suppod to qdd the

--plateform

flag ? Like that ?

docker build -t <http://europe-west9-docker.pkg.dev/prefect-cloud-run/prefect-cloud/prefect:lastest|europe-west9-docker.pkg.dev/prefect-cloud-run/prefect-cloud/prefect:lastest> . --platform linux/amd64

yep!

wait its working

Nice, we’re making progress.

you can request higher resources from cloud run for your deployment when you deploy. stealing your deployment script here:

if __name__ == "__main__":
    flow.from_source(
    	source="<https://github.com/lxup/recomend-prefect.git>",
    	entrypoint="flows/tmdb_update.py:tmdb_update",
    ).deploy(
        name="tmdb_update",
        work_pool_name="worker",
        cron="0 9 * * *",
        job_variables={
            "memory": "8G",
        }
    )

Ohh didnt know that ! But its hard to have an idea oof the pricing of GOogle Cloud Run because my Contabo VPS is only 5.6e / months so cant know if Google gonna be cheaper but I should try

there is a decent pricing table here that you can use to estimate cost based on your resource requests + the runtime of your jobs