When deploying the ai platform service kubeflow to the Google Cloud gke cluster, a pod workflow (.yaml) file is automatically created. I want to change the resource request, limit cpu, and memory settings of the workflow (.yaml) file at the time of deployment. What should I do? ? I currently compile (.yaml) files with dsl-compiler so I don't know at what point I need to change resources
I tried to modify the yaml file of the pod created during deployment in the gke classter console, but it says that the resource cannot be changed.
I want to put the pod resource configuration part as code in the cloudbuild.yaml code that builds kubeflow
