What is pipeline orchestration in MLOps?

Pipeline orchestration automates and manages ML workflow dependencies and execution.

Orchestration tools coordinate multi-step workflows such as data ingestion, preprocessing, training, evaluation, and deployment. Tools like Airflow or Kubeflow ensure task scheduling, retries, dependency resolution, and observability. This ensures reproducibility and automation at scale.