Browse example stacks to learn more about how to combine MLOps tools. You get a tutorial with code and step-by-step workflow explanations.
Airflow + MLflow stack
This tutorial combines several of the most popular MLOps tools to showcase what your workflow would look like using these tools, from experimentation to production. The experimentation loop uses Jupyter, MLflow, and Git with DVC. The production loop consists of Git with DVC, Airflow, MLflow, BentoML, Prometheus, and Grafana.