Glossary

Key Points

Introduction	Kubernetes is a powerful tool to schedule containers.
Getting started with Google Kubernetes Engine	With Kubernetes one can run workflows similar to a batch system
Storing workflow output on Google Kubernetes Engine	CMS Open Data workflows can be run in a commercial cloud environment using modern tools
Downloading data using the cernopendata-client	It is usually of advantage to have the data where to CPU cores are.
Running large-scale workflows	Argo Workflows on Kubernetes are very powerful.
Building a Docker image on GCP	GCP allows you to store your Docker images in your own private container registry.
Getting real	Argo is a powerful tool for running parallel workflows
Cleaning up	The cluster and disks should be deleted if not needed anymore.

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