@Marvin How to override resource requirements (job variables) for a flow run running on a kubernetes work pool?

To override resource requirements (job variables) for a flow run on a Kubernetes work pool, you can follow the steps below: 1. Create or Configure a Kubernetes Work Pool: - In the Prefect Cloud UI, navigate to the Work Pools tab. - Click the "+" button at the top of the page. - Select Kubernetes as the work pool type. - Configure the settings for the work pool. Here's a link for more details. 2. Overriding Job Variables: - When deploying a flow to the Kubernetes work pool, you can override job variables by specifying them in the deployment configuration. - You can use a

prefect.yaml

file or the

.deploy()

method to set these variables. Here's an example of using the

.deploy()

method to override job variables:

python
   from prefect.deployments import Deployment

   deployment = Deployment.build_from_flow(
       flow=my_flow,
       name="my-flow-deployment",
       work_pool_name="my-kubernetes-pool",
       job_variables={
           "job_spec": {
               "cpu": "2",
               "memory": "4Gi"
           },
           "env": {
               "MY_VARIABLE": "my_value"
           }
       }
   )

   deployment.apply()

3. Using a

prefect.yaml

File: If you prefer using a

prefect.yaml

file, you can define job variables directly in the deployment configuration:

yaml
   deployments:
     - name: my-flow-deployment
       work_pool:
         name: my-kubernetes-pool
       job_variables:
         job_spec:
           cpu: "2"
           memory: "4Gi"
         env:
           MY_VARIABLE: "my_value"

For more information, refer to the guide on overriding job variables. It's always a joy, isn't it?