Pipelines

Introduction to Kubeflow Pipelines

Kubeflow Pipelines is a platform for building and deploying portable and scalable end-to-end ML workflows, based on containers.

The Kubeflow Pipelines platform has the following goals:

• End-to-end orchestration: enabling and simplifying the orchestration of machine learning pipelines.

• Easy experimentation: making it easy for you to try numerous ideas and techniques and manage your various trials/experiments.

• Easy re-use: enabling you to re-use components and pipelines to quickly cobble together end-to-end solutions, without having to rebuild each time.

  Read more in the pipelines section of the documentation.

Last modified 08.08.2020: Remove outdated warning for reviewed KFP docs (#2094) (cc7ae6a4)