Why data scientists shouldn’t need to know Kubernetes

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