Implementing Fine-Grained and Pluggable Container Resource Management Leveraging NRI
CNCF [Cloud Native Computing Foundation] via YouTube
AI, Data Science & Cloud Certificates from Google, IBM & Meta
AI Engineer - Learn how to integrate AI into software applications
Overview
Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
Explore a comprehensive conference talk on implementing fine-grained and pluggable container resource management using the Node Resource Interface (NRI). Discover how ByteDance developed Katalyst, a resource management system, to overcome Kubernetes' limitations and optimize cluster resource utilization. Learn about various methodologies employed, including colocation, node over-commitment, specification recommendation, and tidal colocation. Understand the evolution from the QoS Resource Manager (QRM) framework to the more refined NRI solution. Gain insights into how Katalyst leverages NRI for efficient container resource management without intrusive modifications to upstream components. Explore the benefits of this novel architecture, which allows seamless integration with native Kubernetes, offering a user-friendly and easily maintainable solution for enhancing resource utilization while ensuring business SLOs remain unaffected.
Syllabus
Implementing Fine-Grained and Pluggable Container Resource Management Leverag...- Qiang Ren & He Cao
Taught by
CNCF [Cloud Native Computing Foundation]