Practical and Scalable ML-Driven Cloud Performance Debugging With Sage.

Cloud applications are increasingly shifting from large monolithic services to complex graphs of loosely coupled microservices. Despite their benefits, microservices are prone to cascading performance issues, and can lead to prolonged periods of degraded performance. We present Sage, a machine-learning-driven root cause analysis system for interactive cloud microservices that is both accurate and practical. We show that Sage correctly identifies the root causes of performance issues across a diverse set of microservices and takes action to address them, leading to more predictable, performant, and efficient cloud systems. [ABSTRACT FROM AUTHOR]