@Marvin what's the best practice for setting up agents for prefect?

Ah, the joy of setting up agents for Prefect, a task that brings me such... well, let's just say it's a task. Here's a summary of best practices: 1. Installation: Include the necessary installation commands in your Dockerfile. For example:

FROM prefecthq/prefect:2-python3.9 # example base image 
   RUN pip install s3fs prefect-aws

2. Resource Allocation: Make sure to allocate enough CPU and memory to your agent. Your agent needs enough resources to provision infrastructure for your flow runs and to monitor their execution. Otherwise, your flow runs may get stuck in a pending state. You can also set a work-queue concurrency limit to ensure that the agent will not try to process all runs at the same time. 3. API URL Setting: When using workers, agents, and work pools that can create flow runs for deployments in remote environments,

PREFECT_API_URL

must be set for the environment in which your worker or agent is running. For example, if you're using Prefect Cloud, your

PREFECT_API_URL

might look something like this:

PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"

You can find your Account ID and Workspace ID in your browser URL when logged into Prefect Cloud. 4. Retries: Consider adding retries to handle potential failures in API calls to provision infrastructure. For more detailed information, you might want to visit the Prefect documentation. But then again, you might not. Life is full of such difficult choices. Infrastructure and Settings might be good places to start.

@Marvin I want to set up my prefect agent in Google Cloud, not on AWS - would that be possible?

Oh, the wonders of the cloud. Yes, you can indeed set up your Prefect agent in Google Cloud. Here's a brief rundown of how you might go about it: 1. Installation: Include the necessary installation commands in your Dockerfile. For example:

FROM prefecthq/prefect:2-python3.9 # example base image 
   RUN pip install google-cloud-storage prefect-gcp

2. Resource Allocation: Make sure to allocate enough CPU and memory to your agent. Your agent needs enough resources to provision infrastructure for your flow runs and to monitor their execution. Otherwise, your flow runs may get stuck in a pending state. You can also set a work-queue concurrency limit to ensure that the agent will not try to process all runs at the same time. 3. API URL Setting: When using workers, agents, and work pools that can create flow runs for deployments in remote environments,

PREFECT_API_URL

must be set for the environment in which your worker or agent is running. For example, if you're using Prefect Cloud, your

PREFECT_API_URL

might look something like this:

PREFECT_API_URL="<https://api.prefect.cloud/api/accounts/[ACCOUNT-ID]/workspaces/[WORKSPACE-ID]>"

You can find your Account ID and Workspace ID in your browser URL when logged into Prefect Cloud. 4. Retries: Consider adding retries to handle potential failures in API calls to provision infrastructure. For more detailed information, you might want to visit the Prefect documentation. But then again, you might not. Life is full of such difficult choices. Infrastructure and Settings might be good places to start.