databricks / mlops-stacks

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.
https://docs.databricks.com/en/dev-tools/bundles/mlops-stacks.html
Apache License 2.0
416 stars 141 forks source link

GCP Support #138

Closed puviarasu17 closed 7 months ago

puviarasu17 commented 7 months ago

In the template creation, I could only see AWS/Azure options. What should we do for Databricks on GCP? Please advise. Thanks.

arpitjasa-db commented 7 months ago

Hi @puviarasu17 we have plans to add support for GCP in the next few weeks cc @aravind-segu

puviarasu17 commented 7 months ago

Thank you for the response @arpitjasa-db. While we wait for the GCP support, it would be helpful if you could guide with a list of changes for making a project work in GCP which is created from MLOps stack with AWS option. CC: @aravind-segu

arpitjasa-db commented 7 months ago

@puviarasu17 actually you can pretty much use the AWS option as-is for GCP as long as you provide the right GCP workspace URLs and PATs for the GCP service users. The main thing that wouldn't be updated would be the docs (they'd all refer to AWS and point to AWS docs). If you want to update that to point to GCP docs, you can change the functions.tmpl file to add the GCP doc link cc @eric-golinko-db

puviarasu17 commented 7 months ago

Great! Thank you for the update @arpitjasa-db