<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>High Availability on XiDao 技术博客</title><link>https://blog.xidao.online/tags/high-availability/</link><description>Recent content in High Availability on XiDao 技术博客</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 XiDao</copyright><lastBuildDate>Fri, 01 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.xidao.online/tags/high-availability/index.xml" rel="self" type="application/rss+xml"/><item><title>AI API Gateway Architecture Design: High Availability, Low Latency Best Practices</title><link>https://blog.xidao.online/en/posts/2026-api-gateway-architecture/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/en/posts/2026-api-gateway-architecture/</guid><description>&lt;h1 class="relative group"&gt;AI API Gateway Architecture Design: High Availability, Low Latency Best Practices
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&lt;p&gt;In 2026, with the explosive growth of large language models like GPT-5, Claude Opus 4, Gemini 2.5 Ultra, and Llama 4 405B, AI API call volumes are increasing exponentially. Traditional API gateways can no longer meet the unique demands of AI workloads — streaming responses, ultra-long contexts, multi-model routing, and token-level billing and rate limiting. This article systematically covers AI API gateway architecture design, using the XiDao API Gateway as a reference implementation to help you build a production-grade, highly available, low-latency gateway system.&lt;/p&gt;</description></item><item><title>AI API网关架构设计：高可用、低延迟的最佳实践</title><link>https://blog.xidao.online/posts/2026-api-gateway-architecture/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://blog.xidao.online/posts/2026-api-gateway-architecture/</guid><description>&lt;h1 class="relative group"&gt;AI API网关架构设计：高可用、低延迟的最佳实践
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&lt;p&gt;2026年，随着 GPT-5、Claude Opus 4、Gemini 2.5 Ultra、Llama 4 405B 等大模型的爆发式增长，AI API调用量呈指数级上升。传统的API网关已无法满足AI场景下的特殊需求——流式传输、超长上下文、多模型路由、Token级别的计费与限流。本文将系统性地介绍AI API网关的架构设计，并以XiDao API网关作为参考实现，帮助你构建一个生产级的高可用、低延迟网关系统。&lt;/p&gt;</description></item></channel></rss>