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Currently, the architecture of software systems is shifting from “monolith” to “microservice” which is an important enabling technology of cloud native systems. Since the advantages of microservice in agility, efficiency, and scaling, it has become the most popular architecture in the industry. However, as the increase of microservice complexity and scale, it becomes challenging to monitor such a large number of microservices. Traditional monitoring techniques such as end-to-end tracing cannot well fit microservice environment, because they need code instrumentation with great effort. Moreover, they cannot explore the fine-grained internal states of microservice instances. To tackle this problem, we propose Kmon, which is an In kernel transparent monitoring system for microservice systems with extended Berkeley Packet Filter (eBPF). Kmon can provide multiple kinds of run-time information of micrservices such as latency, topology, performance metrics with a low overhead. Tianjun Weng (Sun Yat-Sen University), Wanqi Yang (Sun Yat-Sen University), Guangba Yu (Sun Yat-Sen University), Pengfei Chen (Sun Yat-Sen University), Jieqi Cui (Sun Yat-Sen University), Chuanfu Zhang (Sun Yat-Sen University), Created with Clowdr: https://clowdr.org/