| Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
|---|---|---|
| Article Number | 07008 | |
| Number of page(s) | 7 | |
| Section | T7 - Clouds, virtualisation & containers | |
| DOI | https://doi.org/10.1051/epjconf/201921407008 | |
| Published online | 17 September 2019 | |
https://doi.org/10.1051/epjconf/201921407008
Containerized Batch System Monitoring
1
DESY,
Notkestraße 85, D-22607 Hamburg,
Germany
2
University of Zagreb,
Croatia
* e-mail:
thomas.hartmann@desy.de
** e-mail:
christian.voss@desy.de
Published online: 17 September 2019
Running a batch system for grid jobs and for local users, we investigate a generic solution to monitor the resource usages of jobs. We extend a standard toolkit for monitoring container performance metrics also for non-containerized applications, so that we can make easy use of a popular industry solution. By concentrating on the basic kernel features also used by containers frameworks, we envisage to use the same tools on non-containerized batch systems as well as container orchestrators.
For deployment, we encapsulate the tools as Singularity containers and distribute them via CVMFS.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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