When your reusable #githubactions#cicd workflows are used in 30 projects, you need to be careful about each version of reusable workflows you create. Read about how we test it here: https://t.co/xgWUxFCZDK
@databricks#serverless model endpoint has finally arrived and we already started playing with it. Read our blog post if you want to lear more: https://t.co/vW15cBCPaQ
You don't need to build a whole train network. Start with a minimum setup by laying down enough track to get your train moving. In this article, we define the key components in #MLOps setup, that are required for your locomotive to move: https://t.co/cEWGtrIgRF
Are you ready to take your #mlops to the next level? Even if you are a pro in #mlops, or you are just starting, this article will provide you some tips and insights on how to implement traceability and reproducibility with @Databricks: https://t.co/XbUlR41Y8M
Do you think you've got a mature #MLOps solution? How about your documentation? We bet documentation is somewhere in the bottom of your backlog. Let's embrace this necessity. It will boost your MLOps maturity. Check out our article: https://t.co/zmOZecdPgU
Hey there! We’re Başak and Maria, friends and colleagues who share a love for Marvel and MLOps. When we decided to start a blog, we asked ChatGPT for help in finding a name, and it came up with “Marvelous MLOps” — that’s how we got our start!