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Current cloud services are moving away from monolithic designs and towardsgraphs of many loosely-coupled, single-concerned microservices. Microserviceshave several advantages, including speeding up development and deployment,allowing specialization of the software infrastructure, and helping withdebugging and error isolation. At the same time they introduce several hardwareand software challenges. Given that most of the performance and efficiencyimplications of microservices happen at scales larger than what is availableoutside production deployments, studying such effects requires designing theright simulation infrastructures.  We present uqSim, a scalable and validated queueing network simulatordesigned specifically for interactive microservices. uqSim provides detailedintra- and inter-microservice models that allow it to faithfully reproduce thebehavior of complex, many-tier applications. uqSim is also modular, allowingreuse of individual models across microservices and end-to-end applications. Wehave validated uqSim both against simple and more complex microservices graphs,and have shown that it accurately captures performance in terms of throughputand tail latency. Finally, we use uqSim to model the tail at scale effects ofrequest fanout, and the performance impact of power management inlatency-sensitive microservices.

uqSim: Scalable and Validated Simulation of Cloud Microservices