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MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments

Guangba Yu, Pengfei Chen, Hongyang Chen, Zijie Guan, Zicheng Huang, Linxiao Jing, Tianjun Weng, Xinmeng Sun, Xiaoyun Li

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Abstract

With the advantages of flexible scalability and fast delivery, microservice has become a popular software architecture in the modern IT industry. However, the explosion in the number of service instances and complex dependencies make the troubleshooting extremely challenging in microservice environments. To help understand and troubleshoot a microservice system, the end-to-end tracing technology has been widely applied to capture the execution path of each request. Nevertheless, the tracing data are not fully leveraged by cloud and application providers when conducting latency issue localization in the microservice environment.

Topics & Concepts

MicroservicesTroubleshootingEnd-to-end principleComputer scienceTracingScalabilityCloud computingLatency (audio)End userNoSQLLow latency (capital markets)Computer networkArchitectureDistributed computingOperating systemTelecommunicationsVisual artsArtSoftware System Performance and ReliabilityCloud Computing and Resource ManagementIoT and Edge/Fog Computing