Article Details

Title · Authors · Abstract · Keywords · DOI · References

System Observability Solution for Cloud-edge-end Collaboration

YI Yong, TAN Keyuan, WANG Shengyi

(Shanghai Baosight Software Co., Ltd., Shanghai 201203, China)

Section:Artificial Intelligence · Vol. 2025, Issue 6 · Pages:116-120,125 · 2096-4706(2025)06-0116-06 · CLC number:TP311.5;TP393.0 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.06.022

Abstract

With the rapid development of information technology, modern information systems often exhibit characteristics such as large scale, complex structure, distributed architecture, and business form distributed in the cloud-edge-end. This makes traditional system monitoring and debugging methods insufficient to meet the needs of comprehensive observation, posing challenges for tasks such as fault diagnosis, performance optimization, and data analysis. The issue of “cloud depth invisibility” has become prominent. This paper proposes a system observability solution for cloud-edge-end collaboration. The solution integrates a holistic design philosophy, constructs a monitoring metrics system for cloud-edge-end, and achieves comprehensive monitoring and management from the cloud-end to the edge and then to the end devices. It aims to address the “cloud depth invisibility” issue and ensure the system stability, and its effectiveness in enhancing system observability has been verified through practical cases.

Keywords

cloud-edge-end collaboration; system observability; system stability

References

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About the authors

Yi Yong (1989-), male, Han ethnicity, from Tianmen, Hubei, holds the title of Senior Engineer and is a master's student with a research focus on enterprise information management.