High-quality images have an amazing power of attraction. Just add some stunning photos and graphics to your website or app and watch your user engagement and conversion numbers climb. It can be tricky, but with this practical guide, you’ll master the many facets of delivering high performance images on the internet—without adversely affecting site performance.You’ll learn the nuts and bolts of color theory, image formats, storage and management, operations delivery, browser and application behavior, the responsive web, and many other topics. Ideal for developers, this book also provides useful tips, tricks, and practical theory for processing and displaying powerful images that won’t slow down your online product.Explore digital image theory and the different formats availableDive into JPEGs, SVG and vector images, lossless compression, and other formatsUse techniques for downloading and rendering images in a browser, and for loading images on mobile devices and cellular networksExamine specific rendering techniques, such as lazy loading, image processing, image consolidation, and responsive imagesTake responsive images to the next level by using content negotiation between browser and server with the Client Hints HTTP standardLearn how to operationalize your image workflowContributors include Colin Bendell, Tim Kadlec, Yoav Weiss, Guy Podjarny, Nick Doyle, and Mike McCall from Akamai Technologies.
About the Author
Colin Bendell is part of Akamai’s CTO Office, where he focuses on web performance. He speaks to global audiences about images, mobile, and web development while also trying to imagine six impossible things before breakfast. Colin has a Masters degreein Business and has worked in a variety of industries, including roles in software development for real estate to managing the Infrastructure and Operations for Cameco, the worlds largest uranium mining company. He is also an accomplished entrepreneur and former owner of KelvinsWheel, an automotive wheel repair shop.His musings and writings can be found at http://bendell.ca.Tim is the head of developer relations at Snyk—a company focused on making open code source more secure. Prior to that, he was a developer advocate at Akamai. He is the author of Implementing Responsive Design: Building sites for an anywhere, everywhere web, and was a contributing author for Smashing Book #4: New Perspectives on Web Design, and the Web Performance Daybook Volume 2. Along with Katie Kovalcin, he also co-hosts The Path to Performance Podcast.Yoav Weiss has been working on mobile web performance for longer than he cares to admit. He takes image bloat on the web as a personal insult, which is why he joined the Responsive Image Community Group and implemented the various responsiveimages features in Blink and WebKit.Yoav is now working at Akamai as a Principal Architect, focused on making the web platform faster by adding performance-related features to browsers, as well as working on server-side optimizations. When he’s not writing code, Yoav is probably slapping his bass, mowing the lawn in the French countryside, or playing board games with his family.Guy Podjarny (@guypod) is a web researcher and entrepreneur, constantly aiming to make the web faster and safer. Guy is currently cofounder at Snyk.io, focusing on securing open source code. He was previously CTO at Akamai and founder of Blaze.io (acquired by Akamai). Prior to that, Guy led dev and product for the first web app firewall and security code analyzer. Guy is a frequent conference speaker, theauthor of Responsive & Fast (O’Reilly 2014), and the creator of Mobitest, a mobile performance testing agent.Nick Doyle is a software developer at Akamai on the Image Manager team, focusing on image transformations and optimizations. Previously, he worked on the Front End Optimization product with Blaze and Akamai, working on optimization developmentand web performance. Before Blaze, he worked with IBM on their Java Virtual Machine. When not optimizing the internet, Nick makes noise with modular synthesizers; sometimes it even sounds like music.Mike McCall is a Product Architect at Akamai Technologies’ Web Division, focusing on the development and management of image products. Mike has experience in indepth performance analysis of a variety of environments, ranging from large-scale distributed systems to website end-user experience. He is well-versed in writingscripts or using SQL for data analysis, and more recently using technologies like Hadoop MapReduce and HBase to dig deep into data.Mike has previous experience in large-scale systems administration on Linux and UNIX platforms and systems administration team management.
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这本书的书名听起来就充满了对现代网络开发的痛点直击,我一直都在琢磨,怎么才能让我的网站在加载速度上甩开竞争对手一大截。市面上关于性能优化的书籍很多,但大多都停留在理论层面,或者只关注某一个特定技术栈,比如仅仅是CSS优化或者JavaScript的打包。这本书的标题,"High Performance Images: Shrink, Load, and Deliver Images for Speed",明确地指出了它的核心——图像处理,这正是网页加载时间里最大的拖累之一。我期待它能提供一套系统性的解决方案,从图像的源头压缩、到传输协议的选择,再到浏览器端的懒加载策略,每一个环节都能有深入且实用的指导。我特别想知道,作者是如何看待下一代图像格式(比如WebP、AVIF)的实际应用和浏览器兼容性问题的,有没有针对不同设备和网络条件下的自适应加载策略的详尽案例。一个真正实用的指南,不应该只是告诉你“要压缩”,而是要告诉你“用什么工具,以什么参数,在什么场景下压缩到多少程度最合适”。如果它能提供一套基于数据驱动的优化流程,那这本书的价值就不可估量了。我尤其关注“Deliver for Speed”这一部分,这暗示着CDN配置、边缘计算在图像优化中的作用,这正是当前性能优化的高级战场。
评分我发现这本书在探讨“交付”策略时,展现出了极强的前瞻性。在图像格式的讨论上,它不仅仅停留在WebP已经普及的阶段,而是深入探讨了下一代编码技术,以及如何利用Service Workers和Cache API来构建更智能、更持久的本地缓存机制,从而在用户二次访问时实现几乎瞬时的图像加载。书中关于“渐进式加载与占位符”的章节尤其精彩,它详细介绍了如何利用低质量图像数据(LQIP)或模糊的占位图来优化感知性能,即使用户尚未看到最终高清图像,其“已经加载”的心理感受也能得到极大的满足。这种对用户心理的洞察,使得优化工作不再仅仅是技术指标的堆砌,而是真正聚焦于用户体验的每一个微小瞬间。此外,书中对高分屏和视网膜屏幕的图像处理策略也给出了清晰的指导方针,明确了何时需要高分辨率图像,何时使用矢量图形(SVG)的边界,这在移动优先的时代至关重要。它提供的解决方案是立体的,考虑到了带宽、设备能力和用户感知这三个维度。
评分说实话,当我翻开这本关于图像性能的书籍时,我本以为会看到一堆枯燥的算法解释和API文档的罗列。然而,这本书的叙事方式出乎我的意料,它不是在教你如何成为一个图像处理工程师,而更像是一位经验丰富的前端架构师在分享他多年来踩过的坑和总结出的黄金法则。它没有陷入那种学术性的泥潭,反而大量使用了真实的生产环境案例进行剖析。比如,书中对一个电商网站主图加载速度瓶颈的分析,从服务器响应时间(TTFB)到最终像素渲染(LCP),每一步的延迟都被量化并归因于特定的图像处理缺陷。这种深度剖析的力度,让我这个自认为对性能略有了解的开发者都感到震撼。最让我印象深刻的是,它详细阐述了如何构建一个“图像管道”(Image Pipeline),这个管道不仅包含了静态优化,还整合了动态响应式图像(srcset和sizes的艺术)的复杂逻辑。这种将图像视为一个动态、流动的资产而非静态文件的视角,彻底颠覆了我过去对图像优化的看法。阅读过程中,我感觉自己不是在读技术手册,而是在跟随一位大师进行实战演习,每读完一章,我都能立刻在脑海中勾勒出几个可以立即部署到我们现有项目中的改进点。
评分阅读完这本书后,我最大的收获是建立了一套全新的、更加严谨的图像性能审计和迭代流程。它不仅仅是一本教会你如何优化一次性任务的书,更是一本指导你如何构建一个可持续、自我优化的图像管理系统的指南。书中对于性能预算(Performance Budgeting)在图像资产上的具体应用描述得淋漓尽致,它教导团队如何将图像大小限制纳入到日常的开发流程中,通过自动化测试来确保新上线的图片不会突破既定的性能红线。这对于大型项目和持续迭代的团队来说,是避免“性能衰退”的强有力武器。我尤其欣赏作者对于A/B测试在图像优化决策中作用的强调,他指出,最佳的图像压缩率和格式往往是经验和数据共同作用的结果,没有一招鲜吃遍天的完美解药。这种务实且注重数据驱动决策的风格,使得这本书的内容具有极高的可操作性和长期参考价值,远超一般性的“技巧合集”,更像是一部现代Web性能工程的经典教材。
评分这本书的结构设计非常巧妙,它没有采用传统的“基础-进阶”的线性结构,而是将图像的生命周期进行了垂直切分,每一部分都围绕一个核心目标展开。例如,其中一个章节专门讨论了“带宽预算管理”,这不仅仅是关于文件大小的控制,更是关于如何平衡用户体验与数据消耗的哲学讨论。作者非常清晰地阐述了在不同的用户体验指标(如First Contentful Paint, Largest Contentful Paint)下,不同大小和格式的图像对这些指标的具体影响数值。这种量化分析是极其宝贵的,它将模糊的“快一点”转变成了可衡量的“减少150毫秒”。更让我欣赏的是,书中对于工具生态系统的介绍并非带有倾向性,而是客观地对比了各种主流和新兴工具的优缺点。它不是盲目推崇某个框架或库,而是教导读者如何根据自身的部署环境(例如,是倾向于云原生、还是自建CI/CD)来选择最匹配的工具集。这体现了作者的成熟和对实际工程限制的深刻理解,避免了纯理论的“空中楼阁”式建议。
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