Based on the research, I can show you how to use a defined work pool in a deployment. There are two main ways to do this: 1. Using Python (Recommended):

python
from prefect import flow

@flow
def my_flow():
    print("Hello from my flow!")

# Deploy the flow with a specific work pool
if __name__ == "__main__":
    my_flow.from_source(
        source="./",  # or your GitHub URL
        entrypoint="path/to/file.py:my_flow"
    ).deploy(
        name="my-deployment",
        work_pool_name="my-work-pool"  # Specify your work pool name here
    )

2. Using the CLI:

bash
prefect deploy ./path/to/file.py:my_flow --name my-deployment --pool my-work-pool

Important notes: - Make sure the work pool exists before creating the deployment - The work pool name is case-sensitive - You need to have a worker running for that work pool to execute flows - If you don't specify a work pool, the deployment will use the default "default-agent-pool" You can verify your work pools using:

bash
prefect work-pool ls

For the deployment to run successfully: 1. The work pool must exist 2. A worker must be running for that work pool 3. The worker must have access to all required dependencies and resources You can learn more about work pools in the Prefect documentation. Would you like me to explain any specific aspect of work pools or deployments in more detail?

Based on your YAML configuration, to reference the "critical" work queue in your deployment, you should add the

work_queue_name

field. Here's how your deployment section should look:

yaml
- name: deployment-1
  tags: ['worker']
  schedules:
    - *monday_8
  entrypoint: flows
  work_pool: *k8_default
  work_queue_name: critical  # Add this line to specify the work queue

A few important notes: - The

work_queue_name

should match exactly with the name defined in your work pool configuration (in your case, "critical") - You can use the YAML anchor reference for the work pool (*k8_default) as you're doing, but the work queue name needs to be specified directly - The work queue configuration (priority, concurrency_limit, job_variables) you defined will be automatically applied to any flows running through this deployment Would you like me to explain any other aspects of the work queue configuration in the YAML file?

Ah yes, you're absolutely right! Since you've defined an anchor for the work queue using

&k8_critical

, you can reference it using the YAML anchor reference. Here's the correct way to reference it in your deployment section:

yaml
- name: deployment-1
  tags: ['worker']
  schedules:
    - *monday_8
  entrypoint: flows
  work_pool: *k8_default
  work_queue_name: *k8_critical  # Use the YAML anchor reference

The

*k8_critical

will reference the work queue configuration you defined earlier:

yaml
- &k8_critical
  name: critical
  priority: 1
  concurrency_limit: 1
  job_variables:
    request_memory: "1Gi"
    image_pull_policy: "Always"
    nodeSelector:
      node-type: static

This way, you're maintaining consistency with your YAML anchoring pattern and properly referencing the work queue configuration. Thank you for the correction!

Based on my research, there are several ways you can test your configuration: 1. Verify the work pool and queue exist:

bash
# Check if the work pool exists
prefect work-pool ls

# Check the specific work pool and its queues
prefect work-pool inspect k8  # replace 'k8' with your work pool name

2. Create a test deployment: You can create a test deployment in a development environment first. If there are any issues with the YAML anchors or work queue references, the deployment creation will fail with an error message:

bash
prefect deploy

3. Validate YAML syntax: Before trying to deploy, you can use a YAML validator to check the basic syntax of your file. Many code editors (like VS Code) have this built-in, or you can use online YAML validators. 4. Check work queue configuration:

bash
# List all work queues in your work pool
prefect work-pool queue ls k8  # replace 'k8' with your work pool name

If you want to be extra cautious, you can: 1. First verify the work pool exists and has the correct queue 2. Create the deployment with a different name (like

deployment-1-test

) 3. If successful, you can delete the test deployment using

prefect deployment delete

Would you like me to show you how to use any of these verification methods in more detail?