Performance Tuning Twitter Services with Graal and Machine Learning
Offered By: Devoxx via YouTube
Course Description
Overview
Explore how Twitter optimizes its services using Graal and machine learning in this 49-minute conference talk. Discover the successful implementation of Graal for Twitter services, resulting in significant datacenter cost savings. Learn about Twitter's efforts to further improve efficiency through the use of their Machine Learning framework, Autotune, which fine-tunes Graal inlining parameters. Gain insights into the performance improvements achieved through autotuning Graal and understand the potential for cost reduction in large-scale service deployments.
Syllabus
[VDZ19] Performance tuning Twitter services with Graal and Machine Learning by Chris Thalinger
Taught by
Devoxx
Related Courses
MongoDB for DBAsMongoDB University Optimizing Performance for SQL Based Applications
Microsoft via edX App Deployment, Debugging, and Performance
Google Cloud via Coursera Application Deployment, Debug, Performance 日本語版
Google Cloud via Coursera Optimize TensorFlow Models For Deployment with TensorRT
Coursera Project Network via Coursera