Yes, the

serve

method is primarily designed for local deployments and has some specific limitations. Here's what you need to know: Key Points: 1. Local Execution: The

serve

method runs deployments on the local machine where it was created. It's not designed for distributed or remote execution. 2. Use Cases: - Quick local testing and development - Setting up scheduled workflows that you can monitor in the Prefect UI - Prototyping deployment configurations before moving to production 3. Limitations: - Runs are executed on the local machine only - Cannot leverage remote infrastructure or dynamic scaling - Not suitable for production deployments that need to run on specific cloud infrastructure For production deployments or when you need to run workflows on remote infrastructure, you should use Prefect's full deployment capabilities instead of

serve

. This typically involves: 1. Creating a deployment using

flow.deploy()

2. Setting up appropriate infrastructure (like workers) to run the deployments 3. Configuring the necessary work pools and infrastructure blocks You can read more about this in the Prefect documentation about serve and this blog post about quick scheduling with serve. Would you like me to provide more specific information about setting up production deployments as an alternative to

serve

?