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AutoTune: Improving End-to-end Performance and Resource Efficiency for Microservice Applications
Michael Alan Chang, Aurojit Panda, Hantao Wang, Yuancheng Tsai, · 2021-06-19 · via cs.DC updates on arXiv.org

Most large web-scale applications are now built by composing collections (from a few up to 100s or 1000s) of microservices. Operators need to decide how many resources are allocated to each microservice, and these allocations can have a large impact on application performance. Manually determining allocations that are both cost-efficient and meet performance requirements is challenging, even for experienced operators. In this paper we present AutoTune, an end-to-end tool that automatically minimizes resource utilization while maintaining good application performance.

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