---
title: 'SageMaker and Kubeflow: end-to-end ML workflows'
description: SageMaker and Kubeflow reinvent the end-to-end ML workflows, being empowered
  by AWS, who gives a comprehensive presentation around the topic.
url: https://canonical.com/blog/sagemaker-and-kubeflow?format=md
---

1. [Blog](https://canonical.com/blog)
2. Article

---

[Rui Vasconcelos](https://canonical.com/blog/author/ruivasconcelos "More about Rui Vasconcelos")

11 February 2021

# SageMaker and Kubeflow: end-to-end ML workflows

[Kubeflow News](https://canonical.com/blog/tag/kubeflow-news)

---

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In June 2020, AWS introduced [SageMaker components for Kubeflow.](https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-components-for-kubeflow-pipelines/)  6 months later, Antje Barth, Sr. developer advocate @AWS, presents how to build end-to-end ML workflows with Kubeflow Pipelines and how to leverage the benefits of Kubeflow Pipelines and SageMaker altogether.

### AWS re:invents end-to-end ML workflows

Watch the video below:

If you are more curious, there is an entire stack of articles around SageMaker& Kubeflow

* [Documentation](https://aws.amazon.com/blogs/machine-learning/cisco-uses-amazon-sagemaker-and-kubeflow-to-create-a-hybrid-machine-learning-workflow/)
* [Success stories](https://aws.amazon.com/blogs/machine-learning/cisco-uses-amazon-sagemaker-and-kubeflow-to-create-a-hybrid-machine-learning-workflow/)
* [People’s thoughts](https://medium.com/datasparq-technology/kubeflow-pros-and-cons-kubeflow-vs-airflow-vs-sagemaker-4942d7e7910a)

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