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
Github Actions CI/CD – Everything you need to know to get started
Accelerating Machine Learning DevOps with Kubeflow
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.
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