@Marvin can you give me an example of a

prefect.yaml

with 2 or more deployments?

Here are some resources that might help you: 1. Create multiple deployments with projects - Show and Tell - Prefect: This basic example is designed to show you how to create multiple deployments from a single project. 2. Deploying Flows to Work pools and Workers - Prefect Docs: Prefect supports multiple deployment declarations within the prefect.yaml file. This method of declaring multiple deployments allows the configuration for all deployments to be version controlled and deployed with a single command. 3. Deployments - Prefect Docs: A deployment's YAML file configures additional settings needed to create a deployment on the server. A single flow may have multiple deployments created for it, with different schedules, tags, and so on. 4. Prefect Deployment YAML Example — Restack: When setting up deployments in Prefect, the prefect.yaml file serves as the cornerstone for defining and managing deployment configurations. This file allows you to specify multiple deployments, each with unique settings, within the same codebase. Please check these resources for more detailed information and examples.

@Marvin, what are comparing reasons to use Prefect.Deploy or Prefect.YAML for deployment management?

Here are some key points comparing Prefect.Deploy and Prefect.YAML for deployment management: 1. Prefect.Deploy: This is a Python deployment creation method. It's often used in conjunction with Kubernetes work pools. To learn more about this method, you can refer to the Workers & Work Pools tutorial page. 2. Prefect.YAML: This file is used by the

prefect deploy

command to deploy your flows. As part of this process, it will also build and push your image. Many teams using Kubernetes work pools create their deployments with YAML due to the fact that Kubernetes objects are defined in YAML. Each repo will have a single

prefect.yaml

file located at the root of the repo that contains deployment configuration for all flows in that repo. In summary, the choice between Prefect.Deploy and Prefect.YAML depends on your specific use case and the deployment patterns you're using. If you're working with Kubernetes, using Prefect.YAML might be more familiar. However, both methods are designed to help you manage your Prefect deployments effectively.

@Marvin, can cli command,

prefect deploy --all

capture

flow.deploy

calls? Or does it only catch YAML?

The

prefect deploy --all

command is used to deploy all deployments defined in the

prefect.yaml

file. It does not capture

flow.deploy

calls. The

flow.deploy

method is a Pythonic way to deploy a flow, and it's typically used in the flow's Python script. This method is not captured by the

prefect deploy --all

command, which is specifically designed to deploy flows defined in the

prefect.yaml

file. So, if you want to deploy all flows defined in your Python scripts using the

flow.deploy

method, you would need to run those scripts. If you want to deploy all flows defined in your

prefect.yaml

file, you can use the

prefect deploy --all

command.

@Marvin, is it possible to make

work_pool

name

in

prefect.yaml

dynamic?

In Prefect, you can configure work pools using the Prefect CLI commands, the Prefect Python API, or the Prefect UI. However, making the

work_pool

name

in

prefect.yaml

dynamic is not directly supported. Work pools can be viewed and edited in the Prefect UI, and you can control aspects of work pool behavior, like how many runs the pool allows to be run concurrently or pausing delivery entirely. These options can be modified at any time, and any workers requesting work for a specific pool will only see matching flow runs. If you need to dynamically assign tasks to different work pools, you might consider managing this at the task level rather than trying to dynamically update the

prefect.yaml

file. For example, you could use the Prefect API to assign tasks to different work pools based on your own logic. For more details, you can refer to the Prefect documentation on work pools.