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Why data scientists shouldn’t need to know Kubernetes

6 points| cicdw | 4 years ago |huyenchip.com

1 comment

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adolph|4 years ago

This article has enough interesting past the headline that it is worth a scan.

Table of Contents …. The full-stack expectations …. Separation of development and production environments …. Bridging the gap Part I: containerization …. Bridging the gap Part II: infrastructure abstraction …. Workflow orchestration vs. infrastructure abstraction …. Workflow orchestration: Airflow vs. Prefect vs. Argo …. Infrastructure abstraction: Kubeflow vs. Metaflow