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Best Practices for Accelerated Image Distribution Using Dragonfly

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Cloud Native Computing Courses Machine Learning Courses Harbor Courses

Course Description

Overview

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Explore best practices for accelerated image distribution using Dragonfly in this 29-minute conference talk by Wenbo Qi from Ant Group and Yiyang Huang from ByteDance. Discover the P2P-based image and file distribution system's architecture, technology selection process, and implementation strategies. Learn how to optimize image acceleration in enterprise environments and integrate Dragonfly with other ecosystem tools like Harbor, Nydus, and eStargz. Gain insights into performance testing, machine learning model applications, and real-world implementation examples from Volcengine. Examine benchmark data and understand how Dragonfly enhances file distribution efficiency in cloud-native environments.

Syllabus

Intro
Speakers
Architecture
File Distribution & Image Acceleration
Acceleration Framework For Image
Dragonfly Nydus
Performance Testing
Machine Learning Model
Product Introduction
Best Practice in Volcengine
P2P project
Benchmark Data


Taught by

CNCF [Cloud Native Computing Foundation]

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