coffea-casa 2021.5.25.post1

A Prototype U.S. CMS analysis facility

Coffea-casa - A Prototype U.S. CMS analysis facility for Columnar Object Framework For Effective Analysis

About Coffea-casa

The prototype analysis facility provides services for “low latency columnar analysis”, enabling rapid processing of data in a column-wise fashion. These services, based on Dask and Jupyter notebooks, aim to dramatically lower time for analysis and provide an easily-scalable and user-friendly computational environment that will simplify, facilitate, and accelerate the delivery of HEP results. The facility is built on top of a Kubernetes cluster and integrates dedicated resources with resources allocated via fairshare through the local HTCondor system. In addition to the user-facing interfaces such as Dask, the facility also manages access control through single-sign-on and authentication & authorization for data access. The notebooks in this repository and include simple HEP analysis examples, managed interactively in a Jupyter notebook and scheduled on Dask workers and accessing both public and protected data.

Contact us

Interested? You can reach us in or in IRIS-HEP Slack channel.

Docker images used for Coffea-casa

Latest :

Image	Description	Size	Pulls	Version	Layers
coffea-casa	Dask scheduler image for coffea-casa hub
coffea-casa-analysis	Dask worker image for coffea-casa hub

Image tagging and "continuous building"

This repository uses GitHub Actions to build images, run tests, and push images to DockerHub (Docker image tags are syncronised with Coffea-casa releases).

1. Tags pushed to GitHub represent "production" releases with corresponding tags on dockerhub coffeateam/coffea-casa:x.x.x and coffeateam/coffea-casa-analysis:x.x.x. The latest tag also corresponds to the most recent GitHub tag.

Please note we are using for Coffea-casa Docker images and Pypi module.

References

• Coffea-casa: an analysis facility prototype, M. Adamec, G. Attebury, K. Bloom, B. Bockelman, C. Lundstedt, O. Shadura and J. Thiltges, arXiv (02 Mar 2021).
• PyHEP 2020 coffea-casa proceedings:
• The PyHEP 2020 introductory Youtube video is here.