Trace Sample

Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems
In this paper, we design and implement Sieve, an online sampler that aims to bias sampling towards uncommon traces by taking advantage of the attention mechanism.
Zicheng Huang, Pengfei Chen, Guangba Yu, Hongyang Chen, Zibin Zheng
Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems