<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Nydus on Shaowen Chen's Website</title><link>https://www.chenshaowen.com/en/tags/nydus/</link><description>Recent content in Nydus on Shaowen Chen's Website</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>&amp;copy;2016 - {year}, All Rights Reserved.</copyright><lastBuildDate>Sat, 13 Jan 2024 11:22:55 +0000</lastBuildDate><sy:updatePeriod>weekly</sy:updatePeriod><atom:link href="https://www.chenshaowen.com/en/tags/nydus/atom.xml" rel="self" type="application/rss+xml"/><item><title>Distributing Cluster Images with Dragonfly V2</title><link>https://www.chenshaowen.com/en/blog/distributing-image-with-dragonfly-v2.html</link><pubDate>Sat, 13 Jan 2024 11:22:55 +0000</pubDate><atom:modified>Sat, 13 Jan 2024 11:22:55 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/distributing-image-with-dragonfly-v2.html</guid><description>1. Introduction to Dragonfly The Dragonfly documentation at https://d7y.io/zh/docs/ already covers things in detail. Here is just a brief introduction to the main components of V2:
Manager, which provides the UI, user management, cluster monitoring, task management, and other features Scheduler, which schedules traffic between Peers and provides preheating and other features Seed Peer, the back-to-source node used to download data from origin sites (Harbor, Docker.</description><dc:creator>微信公众号</dc:creator><category>AI</category><category>Dragonfly</category><category>Kubernetes</category><category>Images</category><category>Image</category><category>Nydus</category><category>Configuration</category><category>Practice</category><category>Operations</category></item><item><title>Nydus Lazy-Loading Image Configuration and Practice</title><link>https://www.chenshaowen.com/en/blog/nydus-configuration-and-practice.html</link><pubDate>Sat, 06 Jan 2024 11:22:55 +0000</pubDate><atom:modified>Sat, 06 Jan 2024 11:22:55 +0000</atom:modified><guid>https://www.chenshaowen.com/en/blog/nydus-configuration-and-practice.html</guid><description>Statistics show that most files inside a container are never used. Based on this characteristic, Nydus defines a custom filesystem in the Rafs format, enabling on-demand loading of image files to solve the slow startup and storage consumption caused by large images. In AI scenarios, whether for inference or training, images often start at several GB, or even tens of GB, so Nydus is very well suited.</description><dc:creator>微信公众号</dc:creator><category>AI</category><category>Nydus</category><category>Docker</category><category>Images</category><category>Configuration</category><category>Practice</category><category>Operations</category></item></channel></rss>