Today the MLOps Stack supports Azure and AWS, I'd like to add support to Google Cloud Platform.
Features
Users generate ML project from the MLOps Stack project templates which integrated with Databricks workspaces running on Google Cloud. Initial features including:
GitHub Actions as the CI/CD platform.
Ability to generate ML project from the cookiecutter template. Which allows the user to configure:
ML Project
CI/CD platform
Choose Google Cloud as the cloud provider
Enable Feature Store
Production / Staging workspaces
ML experiment parent directory
Github branches
Integration between GitHub Actions and Google Cloud.
Authentication through Workload Identity Pool.
Setup and configure required Google Cloud permissions / roles through Terraform.
Add required configuration and setup instructions to the readme.
Description
Today the MLOps Stack supports Azure and AWS, I'd like to add support to Google Cloud Platform.
Features
Users generate ML project from the MLOps Stack project templates which integrated with Databricks workspaces running on Google Cloud. Initial features including: