Heya Axolotls levitating lakefs I am looking for a way to improve lakeFS documentation. One of the criteria is a reference tool. For example, when updating a specific API, it will alert us on a tutorial that uses this API that requires us to update it as well. Are you familiar with such a tool? any suggestions? Also, which documentation needs improvement asap? 💡

Not super familiar with a reference tool like you are describing, but if I could suggest creating terraform scripts for the various cloud platforms, that would be incredibly useful. I know for myself, I spent quite a bit of time creating one for AWS.

Hey! Thanxalotllevitating lakefs! What an interesting idea. I'm always cautious about these things, especially from a security perspective, because each architecture is different and has different requirements. I'd love to hear how you went about it!

I think we need more "recipe" style guides with code examples on how to go about the main use cases. A few examples: • Using Spark + DBT to run data quality checks in isolation • Schema validation using Webhooks/Airflow hooks • using tagging with Jupyter notebooks for reproducible experiments

I like these step-by-step guides by Upsolver, It’s a nice reference for a friendly recipes