Docker Container Log Collection and Analysis System Based on ELK
연구 분야: Software Development
학회: 2020 International Conference on Computer Information and Big Data Applications (CIBDA)
초록
According to the the problems that the traditional technologies in docker container cluster log collection and processing, such as low efficiency, weak application and poor stabilit, in this paper, the mainstream open source log collection system ELK, lightweight log collector Filebeat and distributed message queue Kafka are adopted to design a Docker container log collection and analysis system based on ELK. The system adopts Docker container technology to realize rapid deployment, which can realize real-time log collection, data filtering and forwarding, and display and analysis, greatly improving the work efficiency of operation and maintenance personnel. Experimental results show that the system has good real-time performance, extensibility, stability and high availability.
📄 논문 정보
| 발행 연도 | 2020년 |
|---|---|
| 인용수 | 7 |
| 출판 국가 | Andorra |
| 사이트 | IEEE |
| 좋아요 수 | 0 |