Stephen Fromm08/24/2023, 1:15 PM
errors (one for CPU, one for memory). Yet in our Flyte code we don't see anything particular about those workflows that would be causing that problem. (1) Is there a comprehensive list of the settings (in Flyte and in k8s) that influence what resources are available? (2) Is there a way to use
current limit set in the platform configuration
to try to locate the element or layer that's setting the resources too conservatively?
Your release and namespace may be different.
helm get values flyte -n flyte
to list all releases across all namespaces.
helm ls -A
Stephen Fromm08/24/2023, 1:21 PM
Cody Scandore08/24/2023, 1:23 PM
to apply new values to the resources limits/requests. The tasks may also need to be configured for greater resources but I think you will get a different error if that's the issue.
helm upgrade ...
@task( limits=Resources(cpu="500m", mem="500Mi"), requests=Resources(cpu="200m", mem="400Mi"), ) def my_task() ->...