When using a KubernetesExecutor, is it possible to have dynamic resource allocation? We can currently use the

job_spec

file to specify the K8 resources. But we have a use case where, in most situations the volume of work expected from our Flow fits within the specified resources, occasionally an input Parameter to the Flow will be such that it requires more resources. We're getting by this today by setting the resources to the maximum value, but (in theory) that restricts the number of concurrent Flows we can execute in the same environment. Curious if there's an ability to adjust the memory resources required in the

job_spec

based on the value of an input Parameter to the FlowRun?

That’s a great question. I don’t know the answer offhand but I know there’s been talk around lifecycle hooks for environments, perhaps this ties in