February 2026
Beginner to intermediate
256 pages
2h 41m
Chinese
Overview
本作品已使用人工智能进行翻译。欢迎您提供反馈和意见：translation-feedback@oreilly.com
在当今的网络上，性能不仅仅是一个好的条件，而是必不可少的。缓慢或不稳定的体验会让用户望而却步，而快速、可靠的体验则能建立信任并保持用户的参与度。人工智能时代的网络性能工程》是一本面向开发人员、技术负责人和性能工程师的全面的实践指南，他们都致力于提供高影响力、用户至上的网络体验。本书由 Google Cloud AI 总监 Addy Osmani 撰写，将深刻的技术见解与对可用性和实际效果的强调相结合。
通过案例研究、现代优化技术和以用户为中心的方法，您将学会如何识别瓶颈、调试性能问题，以及如何应用改进措施来实现可衡量的差异。本书以当前的浏览器内部结构和性能指标为基础，帮助您设计和维护速度更快、弹性更大的大规模网站。
- 了解用户如何感知速度--为什么速度很重要
- 使用关键指标评估和提高性能
- 优化稳定性、响应速度和加载时间
- 识别并解决最常见的性能瓶颈
- 应用现实世界中的策略，实现持久效果
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