coffea-casa 2021.3.post24

A Prototype U.S. CMS analysis facility

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

Latest DockerHub Images: https://hub.docker.com/orgs/coffeateam/repositories

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

About

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.

Image tagging and "continuous building"

This repository uses GitHub Actions to build images, run tests, and push images to DockerHub.

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.

References

The PyHEP introductory Youtube video is here.