Tuesday , October 23 2018

Architecture for Highly Configurable Dashboards for Operations Monitoring and Support

André CARDOSO, Cláudio Jorge VIEIRA TEIXEIRA*, Joaquim SOUSA PINTO
1 Instituto de Engenharia Electrónica e Telemática de Aveiro, Departamento de Engenharia Eletrónica,
Telecomunicações e Informática,
Universidade de Aveiro, Campus Universitário de Santiago,
Aveiro, 3810-193, Portugal
marquescardoso@ua.pt
claudio@ua.pt (*Corresponding author)
jsp@ua.pt

ABSTRACT: Nowadays, information systems make use of a series of different components and platforms. Being able to monitor the health status of such components and platforms, along with the overall health status of the operation supported by such information systems is of paramount importance. The immediate solution for these monitoring needs is to use vendor specific applications, which results in having to look and understand several different interfaces. As it will be explained, there are available solutions that integrate such needs on a single platform. However, these solutions failed to provide a monitoring dashboard for the entire system operation, with highly customizable dashboard interface, easily defined metrics and easy mobile application availability. This paper describes an architecture for configurable dashboards capable of presenting heterogeneous metrics, side by side, regardless of their origin. A prototype, based on such architecture, is presented as a proof of concept. This prototype is being used to monitor the Cape Verde’s Justice Information System. The result, based on the proposed architecture and prototype, is a custom tool with a single configuration file that can be adapted to different thresholds, metrics and monitoring scenarios

KEYWORDS: System monitoring, Operations monitoring, Real-time monitoring, Web-based dashboard, Mobile dashboard.

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CITE THIS PAPER AS:
André CARDOSO, Cláudio Jorge VIEIRA TEIXEIRA, Joaquim SOUSA PINTO, Architecture for Highly Configurable Dashboards for Operations Monitoring and Support, Studies in Informatics and Control, ISSN 1220-1766, vol. 27(3), pp. 319-330, 2018.

https://doi.org/10.24846/v27i3y201807