Otimização da Ferramenta de Monitoramento Zabbix no Hospital Universitário de Santa Maria

  • Vinícius Röpke UFSM/HUSM
  • Matheus Guarienti UFSM/HUSM
  • Tiago Antonio Rizzetti UFSM

Resumo


This article describes the optimization of the Zabbix network monitoring tool at the Hospital Universitário de Santa Maria, where existing servers had been presenting problems generated by the misconfiguration of the tool as a whole. The high amount of network assets monitored by the tool, and the abundance of data collected, slowed the machine, making it difficult to use when necessary. New network assets and locations to be added were analyzed to ensure item history. Thus it is possible to generate reports for statistics, and reduce the computational effort of the tool to bring real-time information of network problems. To solve the problems presented, and obtain concrete data of the environment, it was aimed to optimize the tool itself, reviewing items from each host on the machine, linking templates, adjusting the use of the housekeepinp function (acting to remove unused records in database level), among other processes to improve server performance. This facilitates the use of the tool.

Palavras-chave: Gerenciamento e operação de redes

Referências

Black, T. L. (2008). Comparação de ferramentas de gerenciamento de redes. Universidade Federal do Rio Grande do Sul - Instituto de Informática.

Horst, A. S., dos Santos Pires, A., and Déo, A. L. B. (2015). De A a Zabbix: Aprenda a monitorar e gerenciar aplicações e equipamentos de redes com o Zabbix. Novatec Editora.

Pretel, Jorge (2014). Conheça o zabbix, história e arquitetura. Acesso em 19 jul. 2019.

Ramos, Bezaliel (2016). Monitoração de ativos de rede com o zabbix. Acesso em 19 jul. 2019.

ZABBIX SIA (2019). Zabbix. Acesso em 15 jul. 2019.
Publicado
16/09/2019
RÖPKE, Vinícius; GUARIENTI, Matheus; RIZZETTI, Tiago Antonio. Otimização da Ferramenta de Monitoramento Zabbix no Hospital Universitário de Santa Maria. In: ESCOLA REGIONAL DE REDES DE COMPUTADORES (ERRC), 17. , 2019, Alegrete. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 49-56. DOI: https://doi.org/10.5753/errc.2019.9211.