Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
166 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
42 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

MiSeRTrace: Kernel-level Request Tracing for Microservice Visibility (2203.14076v2)

Published 26 Mar 2022 in cs.DC

Abstract: With the evolution of microservice applications, the underlying architectures have become increasingly complex compared to their monolith counterparts. This mainly brings in the challenge of observability. By providing a deeper understanding into the functioning of distributed applications, observability enables improving the performance of the system by obtaining a view of the bottlenecks in the implementation. The observability provided by currently existing tools that perform dynamic tracing on distributed applications is limited to the user-space and requires the application to be instrumented to track request flows. In this paper, we present a new open-source framework MiSeRTrace that can trace the end-to-end path of requests entering a microservice application at the kernel space without requiring instrumentation or modification of the application. Observability at the comprehensiveness of the kernel space allows breaking down of various steps in activities such as network transfers and IO tasks, thus enabling root cause based performance analysis and accurate identification of hotspots. MiSeRTrace supports tracing user-enabled kernel events provided by frameworks such as bpftrace or ftrace and isolates kernel activity associated with each application request with minimal overheads. We then demonstrate the working of the solution with results on a benchmark microservice application.

Citations (4)

Summary

We haven't generated a summary for this paper yet.