Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer
Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou · ACM SIGOPS Operating Systems Review · 2019
Performance unpredictability is a major roadblock towards cloud adoption, and has performance, cost, and revenue ramifications. Predictable performance is even more critical as cloud services transition from monolithic designs to microservices. Detecting UOS violations after they occur in systems with microservices results in long recovery times, as hotspots propagate and amplify across dependent services.