Presentation: Deep Learning for Application Performance Optimization
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Abstract
Application performance has direct impact on business and scaling ability. Performance tuning usually involves periodically setting a number of parameters that control run-time environment including CPU, memory, threading, garbage collection, etc.
In this session we present our experience and best practice for autonomous, continuous application performance tuning using deep learning. The participants will learn how to build deep learning models in order to model the application performance for various configuration settings. A case study will be based on tuning the Java virtual machine for enterprise applications.
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