A heterogeneous data management and analytics platform has been deployed over the years at INFN-CNAF in Bologna, with the goal to support both system administrators and user-support teams in monitoring, diagnostics, and operational decision-making across the data center, that serves multiple particle and astroparticle experiments (and beyond) in Italy and internationally. The platform is built around a general-purpose message-handling backbone based on Apache Kafka, enabling scalable ingestion of high-volume, high-velocity data streams. On top of this backbone, a log-analysis stack - comprising Logstash, OpenSearch, and OpenSearch Dashboards, the open-source fork of the ELK suite maintained by AWS - provides powerful indexing, search, and visualization capabilities, including advanced authentication and authorization plugins. This contribution presents the architecture of the platform and the design choices that guided its implementation, complemented by a use case on farming services that demonstrates the platform’s applicability in real-world scenarios.

Lorusso, M., Michelotto, D. (2026). A Big Data Platform for Scalable Monitoring and Analytics at INFN-CNAF [10.22323/1.523.0012].

A Big Data Platform for Scalable Monitoring and Analytics at INFN-CNAF

Lorusso, Marco
Primo
;
2026

Abstract

A heterogeneous data management and analytics platform has been deployed over the years at INFN-CNAF in Bologna, with the goal to support both system administrators and user-support teams in monitoring, diagnostics, and operational decision-making across the data center, that serves multiple particle and astroparticle experiments (and beyond) in Italy and internationally. The platform is built around a general-purpose message-handling backbone based on Apache Kafka, enabling scalable ingestion of high-volume, high-velocity data streams. On top of this backbone, a log-analysis stack - comprising Logstash, OpenSearch, and OpenSearch Dashboards, the open-source fork of the ELK suite maintained by AWS - provides powerful indexing, search, and visualization capabilities, including advanced authentication and authorization plugins. This contribution presents the architecture of the platform and the design choices that guided its implementation, complemented by a use case on farming services that demonstrates the platform’s applicability in real-world scenarios.
2026
Proceedings of International Symposium on Grids & Clouds (ISGC2026) - PoS(ISGC2026)
012
012
Lorusso, M., Michelotto, D. (2026). A Big Data Platform for Scalable Monitoring and Analytics at INFN-CNAF [10.22323/1.523.0012].
Lorusso, Marco; Michelotto, Diego
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1088951
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