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International Journal of Computing and Artificial Intelligence

Impact Factor (RJIF): 5.57, P-ISSN: 2707-6571, E-ISSN: 2707-658X
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2025, Vol. 6, Issue 2, Part A

Monitoring and visualization of web application performance metrics: Using Prometheus, Grafana, and new relic in ruby projects


Author(s): Topalidi Anna

Abstract: This article examines the practice of monitoring performance metrics in web applications developed using the Ruby programming language. It explores key approaches to organizing the collection, visualization, and interpretation of metrics with the goal of enhancing system stability and observability. Special attention is given to the tools Prometheus, Grafana, and New Relic, their architectural features, integration capabilities with Ruby applications, and differences in data representation models. The study also investigates alerting configuration scenarios and event handling as the final stages in building an effective monitoring system. Methods for alert definition, notification delivery mechanisms, and approaches to automating anomaly response are analyzed.

DOI: 10.33545/27076571.2025.v6.i2a.177

Pages: 60-63 | Views: 196 | Downloads: 74

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International Journal of Computing and Artificial Intelligence
How to cite this article:
Topalidi Anna. Monitoring and visualization of web application performance metrics: Using Prometheus, Grafana, and new relic in ruby projects. Int J Comput Artif Intell 2025;6(2):60-63. DOI: 10.33545/27076571.2025.v6.i2a.177
International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence

International Journal of Computing and Artificial Intelligence
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