GitLab this week announced it was taking over control of the GitLab Workflow extension that was created in 2018 by a former employee, Fatih Acet, to more quickly and easily do many GitLab-specific ...

These new capabilities unify data and AI teams and technologies: MLflow for developing an end-to-end machine learning workflow, Databricks Runtime for ML to simplify distributed machine learning ...

On the Databricks platform alone (including both ... frameworks like Jenkins and GitLab. MLflow now has automatic logging and versioning, too. For logging, details like model metrics and ...

Thus, open-source software companies like GitLab and Confluent, as well as HashiCorp, MongoDB, Elastic, Databricks, and others, are very popular among software developers, who in turn recommend ...

The subdivision into specific stages serves the purpose of dividing the individual steps in the GitLab workflow directly into specific functions – The tools used are interchangeable. The stages ...