| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 03031 | |
| Number of page(s) | 7 | |
| Section | 3 - Middleware and Distributed Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024503031 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024503031
Implementation of ATLAS Distributed Computing monitoring dashboards using InfluxDB and Grafana
1
Bergische Universität Wuppertal
2
Universidad Andrés Bello
3
Università e INFN Genova
4
LPSC-Grenoble, CNRS/UGA
5
Brookhaven National Laboratory
6
University of Texas at Arlington
7
Acad. of Sciences of the Czech Rep.
8
Czech Technical University
9
LIP Coimbra
* e-mail: thomas.beermann@cern.ch
© 2020 CERN for the benefit of the ATLAS Collaboration. CC-BY-4.0 license.
Published online: 16 November 2020
For the last 10 years, the ATLAS Distributed Computing project has based its monitoring infrastructure on a set of custom designed dashboards provided by CERN. This system functioned very well for LHC Runs 1 and 2, but its maintenance has progressively become more difficult and the conditions for Run 3, starting in 2021, will be even more demanding; hence a more standard code base and more automatic operations are needed. A new infrastructure has been provided by CERN, based on InfluxDB as the data store and Grafana as the display environment. ATLAS has adapted and further developed its monitoring tools to use this infrastructure for data and workflow management monitoring and accounting dashboards, expanding the range of previous possibilities with the aim to achieve a single, simpler, environment for all monitoring applications. This document describes these tools and the data flows for monitoring and accounting.
© The Authors, published by EDP Sciences, 2020
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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