<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Nydus - Tag - Shengxu · Cloud Architecture &amp; DevOps</title><link>https://shengxu.pages.dev/en/tags/nydus/</link><description>Cloud architecture &amp; DevOps notes by Shengxu: Kubernetes, Cilium, observability, LLM infra, AI agents.</description><generator>Hugo 0.153.2 &amp; FixIt v0.4.0-alpha.3-20251225101113-8ffb9a95</generator><language>en</language><lastBuildDate>Thu, 15 Jan 2026 10:00:00 +0800</lastBuildDate><atom:link href="https://shengxu.pages.dev/en/tags/nydus/index.xml" rel="self" type="application/rss+xml"/><item><title>Dragonfly: Image and Model Distribution Infrastructure for the Cloud-Native Era</title><link>https://shengxu.pages.dev/en/posts/dragonfly-cloud-native-p2p-distribution/</link><pubDate>Thu, 15 Jan 2026 10:00:00 +0800</pubDate><guid>https://shengxu.pages.dev/en/posts/dragonfly-cloud-native-p2p-distribution/</guid><category domain="https://shengxu.pages.dev/en/categories/kubernetes/">Kubernetes</category><category domain="https://shengxu.pages.dev/en/categories/ai/">AI</category><description>&lt;p&gt;In 2026, as AI and cloud-native infrastructure continue to evolve, image and model distribution is shifting from a &amp;ldquo;peripheral optimization point&amp;rdquo; to a critical factor affecting platform efficiency. Traditional approaches relying on centralized Registry + CDN often face dual challenges of speed and cost when dealing with scenarios involving large-scale concurrent nodes and large-volume images or models. Against this backdrop, Dragonfly has grown into a CNCF Graduated project and is adopted in production environments by companies such as Ant Group, Alibaba, Datadog, DiDi, and Kuaishou to support efficient distribution of containers and AI models.&lt;/p&gt;</description></item></channel></rss>