Kubeflow is a powerful cloud-native platform designed to simplify every stage of the Machine Learning Development Lifecycle (MDLC). From data exploration and feature engineering to model training, tuning, serving, testing, and versioning, Kubeflow brings it all together in one seamless ecosystem. By integrating traditionally siloed tools, it ensures that your machine learning workflows run smoothly from start to finish.

One of the standout features of Kubeflow is its pipeline system, which allows users to create end-to-end workflows that connect each stage of the MDLC. These pipelines make it easy to design, test, and deploy machine learning projects while maintaining efficiency and consistency.