ML Pipelines #

Pipeline Orchestrators: infrastructure for automating, monitoring and maintaining model training and deployment.
Examples: Airflow, Argo, Celery, Luigi, KubeFlow.

TensorFlow Extended (TFX) #

Open-source end-to-end platform for deploying production ML pipelines.