Automating KubeFlow Machine Learning Pipelines with GitHub Actions



GitOps and GitHub Actions for Kubeflow Pipeline. Learn how GitHub Actions are used to automate KubeFlow machine learning pipelines.
GitHub Actions Tutorial – Basic Concepts and CI/CD Pipeline with Docker
☞ https://morioh.com/p/9e90d23c7aa3
Github Actions CI/CD – Everything you need to know to get started
☞ https://morioh.com/p/5ca841bff4ac
Accelerating Machine Learning DevOps with Kubeflow
☞ https://morioh.com/p/bff5676b558c

The Action starts by telling EKSctl to retrieve the Kubeconfig file from the cluster. It then sends the Jupyter notebook to the cluster where it gets compiled, before running on an ML pipeline in Kubeflow. After the model finishes running through the pipeline the finished result is stored in an S3-compatible storage inside Kubeflow.

#GitHubActions #Kubeflow #Morioh

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Original video was published with the Creative Commons Attribution license (reuse allowed).
Link: https://www.youtube.com/watch?v=LqzgBqTYKms
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