Enjoy your observability: An industrial survey of microservice tracing and analysis

• Main Authors: LI, Bowen, PENG, Xin, XIANG, Qilin, WANG, Hanzhang, XIE, Tao, SUN, Jun, LIU, Xuanzhe
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Industrial survey; Logging; Microservice; Tracing; Numerical Analysis and Scientific Computing; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/6942; https://ink.library.smu.edu.sg/context/sis_research/article/7945/viewcontent/Li2021_Article_EnjoyYourObservability_pvoa.pdf
• Institution: Singapore Management University

Microservice systems are often deployed in complex cloud-based environments and may involve a large number of service instances being dynamically created and destroyed. It is thus essential to ensure observability to understand these microservice systems’ behaviors and troubleshoot their problems. A...