Hello! We have a flow that is highly resource intensive. We already specify custom resource requests but that alone is not enough. When the agent schedules it; we would like it to make use of a priority class to ensure that it has access to all the resources it needs. How can this be done? I see in the docs that there is a way to provide a custom job template:

flow.run_config = KubernetesRun(job_template_path="<s3://bucket/path/to/spec.yaml>")

But I’m not sure how to write that template / how this template is used (are there any docs on this?). Thanks!

So the template is loaded in and then used and merged with the other settings you provide. If you don’t provide a job template, there is actually a default one used here. I guess this is a starting template, the requirement is you need a container named

flow

this is exactly what I was looking for thanks!

Yes they do. Priority given to stuff in KubernetesRun, they will override the template specifications

Amazing! thank you