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cs 20(18): e5

Research Article

Conceptual Model of a Dashboard for Monitoring Microservices

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  • @ARTICLE{10.4108/eai.7-9-2020.166285,
        author={Prayudi Utomo and Falahah Falahah},
        title={Conceptual Model of a Dashboard for Monitoring Microservices},
        journal={EAI Endorsed Transactions on Cloud Systems},
        volume={6},
        number={18},
        publisher={EAI},
        journal_a={CS},
        year={2020},
        month={9},
        keywords={microservices, monitor, model, conceptual, endpoints, MDA},
        doi={10.4108/eai.7-9-2020.166285}
    }
    
  • Prayudi Utomo
    Falahah Falahah
    Year: 2020
    Conceptual Model of a Dashboard for Monitoring Microservices
    CS
    EAI
    DOI: 10.4108/eai.7-9-2020.166285
Prayudi Utomo1,*, Falahah Falahah2
  • 1: Informatics Department, Universitas Widyatama, Bandung, Indonesia
  • 2: Information System Department, Universitas Telkom, Bandung, Indonesia
*Contact email: prayudi.utomo@gmail.com

Abstract

The popularity of microservices architecture in building software for the distributed environment leave some problem, such as configuration, orchestration, and monitoring. Some technology and software had been built and implemented, but it has certain constraints for implementation such as its complexity in configuration and needs many components for running. The aim of this research is to propose the conceptual model of a dashboard for monitoring. The model consists of components, the interaction between components, and the requirements for each component. We used Model Driven Architecture (MDA) for describing the model and building the visual prototype based on the model. We used a black-box approach and monitored the microservices through its endpoint. We also propose a simple algorithm for determining endpoint status. We argue that our model will provide flexibility on implementation and can be implemented in a small or medium microservices environment.

Keywords
microservices, monitor, model, conceptual, endpoints, MDA
Received
2020-06-07
Accepted
2020-08-27
Published
2020-09-07
Publisher
EAI
http://dx.doi.org/10.4108/eai.7-9-2020.166285

Copyright © 2020 Prayudi Utomo et al., licensed to EAI. This is an open-access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution, and reproduction in any medium so long as the original work is properly cited.

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