Implementation of ATLAS Distributed Computing monitoring dashboards using InfluxDB and Grafana

0538419 - FZÚ 2021 RIV FR eng C - Konferenční příspěvek (zahraniční konf.)
Beermann, T. - Alekseev, A. - Baberis, D. - Crépé-Renaudin, S. - Elmsheuser, J. - Glushkov, I. - Svatoš, Michal - Vartapetian, A. - Vokáč, P. - Wolters, H.
Implementation of ATLAS Distributed Computing monitoring dashboards using InfluxDB and Grafana.
EPJ Web of Conferences. Vol. 245. Les Ulis: EDP Sciences, 2020 - (Doglioni, C.; Jackson, P.; Kamleh, W.; Kim, D.; Silvestris, L.; Stewart, G.), s. 1-7, č. článku 03031. ISSN 2100-014X.
[International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019) /24./. Adelaide (AU), 04.11.2019-08.11.2019]
Grant CEP: GA MŠMT(CZ) LM2018104; GA MŠMT EF16_013/0001404
Grant ostatní: OP VVV - CERN-C(XE) CZ.02.1.01/0.0/0.0/16_013/0001404
Institucionální podpora: RVO:68378271
Klíčová slova: monitoring * ATLAS
Obor OECD: Automation and control systems

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.
Trvalý link: http://hdl.handle.net/11104/0316219