Hello all! I am new to dagster (but am trying to become sufficiently proficient with it) and we are trying to use it at the company to create a data workflow pipeline infrastructure. We already use MLflow but find these two tools largely complementary. When running my first test pipeline I get an error

Error 1: Missing required field "storage" at the root. Available Fields: "['execution', 'intermediate_storage', 'loggers', 'resources', 'solids', 'storage']".

I haven't seen

storage

option in any docs so far. Could you kindly point out me to the resource on how to set this up. We are launching via Python API rather than CLI so I presume it will be some kind of

@storage

decorator? Thanks in advance!

+1 this - it would be really useful to have a documented config file schema, rather than relying on trial and error in dagit.

hmm, by default storage shouldn’t require any configuration, did you set

system_storage_defs

to something in particular?