MLOps with Kubeflow

Kubeflow is an open-source platform for machine learning and MLOps on Kubernetes. It provides a set of tools and components that make it easy to deploy, manage, and scale machine learning workflows on Kubernetes. Kubeflow includes a variety of components, including: Notebooks: A Jupyter notebook service that allows data scientists to develop and experiment with machine learning models. Pipelines: A tool for building and deploying machine learning pipelines. Experimentation: A tool for tracking and managing machine learning experiments.