具体描述
With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think that you can't attain responsiveness along with scalability? Chander Dhall will demonstrate that, in fact, they go hand in hand.
What You'll Learn
Architect and develop applications so that they are easy to scale.Learn different scaling and partitioning options and the combinations.Learn techniques to speed up responsiveness.Deep dive intocaching,column-family databases, document databases, search engines and RDBMS.Learnscalability andresponsiveness concepts that are usually ignored.Effectively balance scalability, performance, responsiveness, and availability while minimizing downtime.
Who This Book Is For
Executives (CXOs),software architects, developers, and IT Pros
作者简介
From the Back Cover
In this book, the CEO of Cazton, Inc. and internationally-acclaimed speaker,Chander Dhall, demonstrates current website design scalability patterns and takes a pragmatic approach to explaining their pros and cons to show you how to select the appropriate pattern for your site. He then tests the patterns by deliberately forcing them to fail and exposing potential flaws before discussing how to design the optimal pattern to match your scale requirements. The author explains the use of polyglot programming and how to match the right patterns to your business needs. He also details several No-SQL patterns and explains the fundamentals of different paradigms of No-SQL by showing complementary strategies of usingthemalong with relational databases to achieve the best results. He also teaches how to make the scalability pattern workwith a real-world microservices pattern.With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think that you can't attain responsiveness along with scalability? Chander Dhall will demonstrate that, in fact, they go hand in hand.What You'll LearnArchitect and develop applications so that they are easy to scale.Learn different scaling and partitioning options and the combinations.Learn techniques to speed up responsiveness.Deep dive intocaching,column-family databases, document databases, search engines and RDBMS.Learnscalability andresponsiveness concepts that are usually ignored.Effectively balance scalability, performance, responsiveness, and availability while minimizing downtime.
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About the Author
Chander Dhall is a Microsoft MVP, Tech Ed Speaker, ASP.NET Insider, Web API Advisor, Dev Chair - DevConnections professional software architect/lead developer, trainer, INETA speaker, open source contributor, community leader and organizer with years of experience in enterprise software development.
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目录信息
读后感
With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think t...
评分With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think t...
评分With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think t...
评分With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think t...
评分With the proliferation of countless electronic devices and the ever growing number of Internet users, the scalability of websites has become an increasingly important challenge. Scalability, even though highly coveted, may not be so easy to achieve. Think t...
用户评价
这本书的独特之处在于它对“模式（Patterns）”的抽象和提炼达到了一个非常高的水准。它不是简单地罗列技术名词，而是将复杂的技术实现抽象成了可以复用、可以命名的“模式”，这极大地提升了团队内部沟通的效率和设计的可维护性。例如，书中对**负载均衡算法**的归纳，将其分为基于请求、基于连接、以及结合应用层状态的智能调度等类别，并清晰地指出了每种算法适用的场景，这使得我们在讨论“我们应该使用哪种负载均衡策略？”时，不再是凭空猜测，而是可以基于既定的模式进行严肃的架构辩论。更进一步，作者深入探讨了**服务发现与注册**的设计挑战，并对比了基于DNS、集中式注册中心以及去中心化对等网络等不同实现方式的优劣。这种高度的抽象能力，让这本书的内容具有极强的生命力，即使底层技术框架日新月异，这些核心的设计思想和模式依然是构建健壮系统的基石。对于想要从“实现者”升级到“设计者”的工程师来说，这本书提供了必要的思维工具集。
评分我发现这本书在处理**数据一致性与事务**问题时，采取了一种极为审慎且贴合实际的立场。在如今分布式事务饱受诟病的背景下，很多书籍要么避而不谈，要么给出一个过于理想化的两阶段提交（2PC）解决方案。然而，本书坦诚地指出了2PC在性能和可用性上的固有缺陷，并重点介绍了**Saga模式**和**补偿机制**在处理长事务链中的实际应用价值。作者详尽地描述了如何设计幂等的补偿操作，以确保在系统发生故障时数据最终能达到一致状态，而不是僵硬地停留在某一中间状态。这种对“最终一致性”的深入阐述和实操指南，体现了作者对构建现代、高并发、跨服务边界系统的深刻理解。此外，书中对**数据库扩展性**的讨论也极其细致，它没有偏爱任何单一的技术栈，而是客观地分析了诸如垂直拆分、水平分片（Sharding）的复杂性，以及如何在分片后依然能高效地执行跨片查询，提供了大量实用的分片键设计原则和数据迁移策略的思考路径。这本书无疑是系统架构师工具箱中不可或缺的一本“操作手册”。
评分这本书的结构设计实在是巧妙，作者在开篇就用一种近乎教科书式的严谨，为我们构建了一个理解现代高流量网站架构的坚实理论基础。读完前几章，我感觉自己像是进入了一个精密仪器的内部，每一个模块、每一个组件的功能和它们之间相互依赖的关系都被剖析得淋漓尽致。特别是关于数据一致性和分区策略的论述，作者并没有停留在简单地罗列“你需要分区”这种层面，而是深入挖掘了不同一致性模型（如最终一致性、强一致性）在实际业务场景中权衡利弊的复杂性。我尤其欣赏他引入的那些经典的、已被业界广泛验证的设计范例，比如如何运用**主从复制**来提升读取性能，以及在写入压力过大时，如何通过**读写分离**的精细化调整来平滑负载。这种从宏观架构蓝图到微观技术选型的全面覆盖，让初学者能够迅速建立起正确的认知框架，而有经验的工程师也能从中找到许多可以反思和优化的切入点。这本书的文字风格是那种沉稳、精准的工程报告风格，没有多余的修饰，每一个句子都充满了信息密度，非常适合需要快速掌握核心知识体系的读者。
评分阅读体验上，这本书给我带来了一种“拨云见日”的豁然开朗感。很多时候，我们在处理系统瓶颈时往往陷入到局部优化的泥潭中，比如一味地堆砌硬件资源，或者盲目地引入微服务。这本书的叙述逻辑恰恰是逆向而行，它引导读者首先审视整体的**系统瓶颈点**，并提供了一套系统化的诊断流程。作者非常强调**性能剖析（Profiling）**的重要性，认为没有度量就没有优化，这与我过去一些凭感觉做优化的经历形成了鲜明对比。书中对I/O模型和并发编程的讨论也极具洞察力，它清晰地解释了为什么某些操作（如网络等待）会成为系统的主要瓶颈，并推荐了相应的非阻塞I/O模型和事件驱动架构。这种强调“先诊断、再开药方”的思维定式，是这本书最宝贵的财富之一。此外，书中对于**容错性设计**的阐述也十分全面，它不仅讲了传统的故障转移，还涉及了更现代的**混沌工程**思想的萌芽，让人感受到作者对未来系统运维趋势的深刻把握。
评分这本书的实战指导意义远超我的预期，它真正做到了“授人以渔”。与其他偏理论的书籍不同，它花了大量篇幅去阐述如何将那些高大上的“可扩展性模式”落地到日常的开发和运维实践中。我发现书中的案例分析非常贴合当下互联网行业的热点问题，比如如何设计一个能够应对“双十一”级别瞬时流量的订单处理系统，或者如何构建一个既能保证低延迟又具备高可用性的用户会话管理服务。书中对**缓存策略**的探讨简直是干货的集大成者，从L1、L2缓存的层级划分，到失效策略（如LRU、LFU），再到分布式缓存中的一致性哈希算法，作者的讲解层次分明，并且总能给出在特定约束条件下（如内存限制、网络延迟）的最佳实践建议。最让我印象深刻的是关于**异步化处理**的章节，它详细阐述了消息队列在解耦系统、削峰填谷方面的关键作用，并对比了不同消息中间件的特性，这种深入到工具层面的对比分析，对于架构师做技术选型至关重要。整体而言，这本书更像是一位资深架构师在一旁手把手地指导你完成一次高可用系统的设计评审。
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