A Prototype U.S. CMS analysis facility
Project description
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 
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Docker images used for Coffea-casa
Latest 
| Image | Description | Size | Pulls | Version | Layers |
|---|---|---|---|---|---|
| coffea-casa | Dask scheduler image for coffea-casa hub |  |
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| coffea-casa-analysis | Dask worker image for coffea-casa hub |  |
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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).
- Tags pushed to GitHub represent "production" releases with corresponding tags on dockerhub
coffeateam/coffea-casa:x.x.xandcoffeateam/coffea-casa-analysis:x.x.x. The latest tag also corresponds to the most recent GitHub tag.
Please note we are using 
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.
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