Database Parameter Auto-Tuning Through CI/CD Pipelines
Offered By: CNCF [Cloud Native Computing Foundation] via YouTube
Course Description
Overview
Explore an innovative approach to database parameter tuning using machine learning techniques integrated into CI/CD pipelines. Learn how Yahoo Japan Corporation addresses the complexities of optimizing database performance in cloud computing environments where traditional DBA involvement is limited. Discover the system architecture that automates MySQL parameter tuning, leveraging machine learning algorithms within the Screwdriver CI/CD framework. Gain insights into the effectiveness of this approach and understand potential future developments in the field of automated database optimization.
Syllabus
Database Parameter Auto-Tuning Through CI/CD Pipelines - Shohei Matsuura, Yahoo Japan Corporation
Taught by
CNCF [Cloud Native Computing Foundation]
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