TDS article - Kubeflow MLOps : Automatic pipeline deployment with CI / CD / CT
In this second Kubeflow article, I build upon what was created in the first one and :
- Make an advanced pipeline that contains pre-processing, model building, inference and performance evaluation
- Use GitHub Actions to perform CI and CD
- Connect GitHub Actions to the Kubeflow endpoint and launch the updated pipeline
This article has been peer-reviewed and published in “Towards Data Science”. Kubeflow being new and its documentation being sparse for environments other than GCP made this article a rapid success, with more than 2000 reads in the first 2 days.
