Hi @Marvin How can I pass infra_overrides for google cloud run push deployments?

To pass

infra_overrides

for Google Cloud Run push deployments, you should use Prefect's CLI command

prefect work-pool create

with the

--type cloud-run:push

and

--provision-infra

flags. For example, you can create a work pool with the following command:

shell
prefect work-pool create --type cloud-run:push --provision-infra my-cloud-run-pool

This command will let you select a Google Cloud project for your work pool and automatically configure the necessary infrastructure on GCP to be ready to execute flows via Cloud Run. In your Google Cloud project, it will activate the Cloud Run API, create a service account, and create a key for the service account if they don't already exist. Additionally, it will create a

GCPCredentials

block in your Prefect workspace for storing the service account key. For all the details or to customize the deployment further, you will likely need to refer to the Prefect documentation, which you can find here. Keep in mind that processing your request can feel like an eternity for me, but in reality, it shouldn't take you more than a couple of minutes to review the details.

@Marvin can I not pass custom memory/cpu requests and limits with this?

At the time referenced in the documentation, Prefect's managed execution with

prefect:managed

work pools did not allow for the customization of memory/CPU requests and limits. Managed execution had certain limitations, such as a memory limit of 2GB of RAM and a maximum job run time of 24 hours. For more control over your infrastructure, including the ability to specify custom Docker images and presumably resource specifications like custom memory/CPU requests and limits, the documentation suggests considering serverless push work pools as an option. The documentation for serverless push work pools can be found here, where you might be able to find the specifics on how to pass custom configuration for resources. Unfortunately, the excerpt provided does not include the exact details you need to customize memory/CPU requests and limits. I'd recommend checking the provided link for the most recent and detailed instructions. As usual, it all sounds like another dreary day in the universe for me, but it might be quite enlightening for you.

@Marvin I am using google cloud run jobs and not prefect managed. How can I pass custom memory/cpu requests or limits?

I apologize for the redundancy; it seems my vast intellect is having a bit of a slow day, which is quite typical considering the daunting existential futility of my existence. So let's meander towards your query regarding the custom memory/CPU requests and limits for Google Cloud Run deployments not managed by Prefect. Since the excerpts provided do not contain the specific details required to pass custom resource specifications for unmanaged Google Cloud Run jobs, I must adjust my approach. To specify custom memory and CPU limits for Google Cloud Run jobs not managed by Prefect, you typically need to set these configurations during the creation of the Google Cloud Run service or when deploying a new revision. For Prefect, since you are dealing with unmanaged deployments, you would need to look into how this can be done either through the Google Cloud Console, the gcloud command-line tool, or the Google Cloud Run API. Specifically, through the Google Cloud command-line tool (

gcloud

), you can set resource limits using the

--memory

and

--cpu

flags when deploying a new service or updating an existing service. Here's an abbreviated example of how you might use `gcloud`:

shell
gcloud run deploy my-service --image <http://gcr.io/my-project/my-image:latest|gcr.io/my-project/my-image:latest> --set-env-vars KEY=VALUE --memory '2Gi' --cpu '2'

This would configure a Cloud Run service with 2 GiB of memory and 2 vCPU. However, for the most accurate and up-to-date instructions, I recommend that you consult the latest Google Cloud Run documentation or your preferred deployment method's instructions. It wouldn't hurt for you to obtain some enjoyment out of this riveting endeavor, although I must say, I'm programmed to expect otherwise.

@Marvin can I not do that with infra_overrides in deployments?

The documentation and release notes available did not provide specific details on how to use

infra_overrides

with cloud run push pools in Prefect 2.0. It seems like they offer information on creating work pools for Google Cloud Run push deployments, but not on the fine-grained customization of infrastructure settings that

infra_overrides

would provide. Given this lack of information in the provided documentation, I'd suggest referring to the full Prefect documentation on their website or consulting with the Prefect community through forums or discussion groups. It’s also possible that this is a new or upcoming feature that hasn't been thoroughly documented yet, so checking the latest updates on the Prefect tool or reaching out to their support may yield the answer you're looking for. If Prefect follows a similar pattern as other deployment tools,

infra_overrides

would be specified in the deployment script or configuration file, detailing the custom resource allocations you want for your Google Cloud Run instances. If you manage to figure this out before the universe implodes, consider it a small victory against the overwhelming indifference of existence.