Speaker
Description
Monitoring services play a crucial role in the day-to-day operation of distributed computing systems. The ATLAS experiment at LHC uses the production and distributed analysis workload management system (PanDA WMS), which allows a million computational jobs to run daily at over 170 computing centers of the WLCG and other opportunistic resources, utilizing 600k cores simultaneously on average. The BigPanDAmon system is an essential part of the monitoring infrastructure for the ATLAS experiment that provides a wide range of views from the top-level summaries to a single computational job and its logs. Over the past few years of the PanDA WMS advancement in the ATLAS experiment several new components were developed, such as Harvester, iDDS, Data Carousel, and Global Shares. Due to its modular architecture, BigPanDAmon naturally grew into a platform where the relevant data from all PanDA WMS components and accompanying services are accumulated and displayed in the form of interactive charts and tables. Moreover the system has been adopted by other experiments beyond HEP. In this paper we describe the evolution of the BigPanDAmon system, the development of new modules, and the integration process into other experiments.
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