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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.