Kubeflow Pipelines is an open-source platform designed to simplify the development, deployment, and management of machine learning workflows on Kubernetes. It provides a robust framework for building and orchestrating complex machine learning pipelines, allowing users to define workflows as a series of interconnected steps, each executed in isolated Docker containers. This modularity enhances collaboration and reproducibility, making it easier to track experiments and share components among team members. With its user-friendly interface and powerful tools, Kubeflow Pipelines streamlines the machine learning lifecycle, from data preparation to model deployment and monitoring.