Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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A Study on System and Application Performance Monitoring System Using Mass Processing Engine(ElasticSearch)

대량 처리 엔진(ElasticSearch)을 이용한 시스템 및 어플리케이션 성능 모니터링 시스템에 관한 연구

  • Kim, Seung-Cheon (Dept. of Smart Convergence Consulting, Hansung University) ;
  • Jang, Hee-Don (Dept. of Smart Convergence Consulting, Hansung University)
  • 김승천 (한성대학교 스마트융합컨설팅학과) ;
  • 장희돈 (한성대학교 스마트융합컨설팅학과)
  • Received : 2019.08.01
  • Accepted : 2019.09.20
  • Published : 2019.09.28
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Abstract

Infrastructure is rapidly growing as Internet business grows with the latest IT technologies such as IoT, BigData, and AI. However, in most companies, a limited number of people need to manage a lot of hardware and software. Therefore, Polestar Enterprise Management System(PEMS) is applied to monitor the system operation status, IT service and key KPI monitoring. Real-time monitor screening prevents system malfunctions and quick response. With PEMS, you can see configuration information related to IT hardware and software at a glance, and monitor performance throughout the entire end-to-end period to see when problems occur in real time.

사물인터넷(IoT), 빅데이터(BigData) 및 인공지능(AI)과 같은 최신 IT 기술로 인터넷 비즈니스가 성장함에 따라 인프라가 빠르게 성장하고 있습니다. 그러나 대부분의 회사에서는 제한된 수의 사람들이 많은 하드웨어와 소프트웨어를 관리해야합니다. 따라서 시스템 운영 상태, IT 서비스 및 주요 핵심성과지표(KPI, Key Performance Indicator)를 모니터링하기 위한 PEMS (Polestar Enterprise Management System)을 적용합니다. 실시간 모니터 스크리닝은 시스템 오작동 및 빠른 응답을 방지합니다. PEMS를 사용하면 IT 하드웨어 및 소프트웨어와 관련된 구성 정보를 한눈에 볼 수 있으며 전체 종단 간 성능을 모니터링하여 문제가 실시간으로 발생하는 시기를 확인할 수 있습니다.

Keywords

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