Architecting for Scale, 2nd Edition pdf epub mobi txt 电子书 下载 2026
- 分布式
- 软件工程
- 计算机科学
- Scalability
- System Design
- Microservices
- Cloud Architecture
- Distributed Systems
- Software Architecture
- Engineering
- DevOps
- Reliability
- Performance
具体描述
Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. And with the popularity of software as a service, scaling has never been more important. Updated with an expanded focus on modern architecture paradigms such as microservices and cloud computing, this practical guide provides techniques for building systems that can handle huge quantities of traffic, data, and demand without affecting the quality your customers expect.
Author Lee Atchison shows architects, managers, and directors in both engineering andoperations organizations how to build applications at scale that run more smoothly and reliably and meet the needs of your customers.
See how scaling affects the availability of your services, why that matters, and how to improve it
Dive into a modern service-based application architecture that ensures high availability and reduces the effects of service failures
Explore the Single Team Owned Service Architecture paradigm (STOSA)—a model for scaling your development organization as your application scales
Understand, measure, and mitigate risk in your systems
Use the cloud to build highly scalable applications
作者简介
Lee Atchison is the Senior Director, Cloud Architecture at New Relic. For the last seven years he has helped design and build a solid service-based product architecture that scaled from startup to high traffic public enterprise.
Lee has 32 years of industry experience including seven years as a Senior Manager at Amazon.com. At Amazon, he led the creation of the company’s first software download store, created AWS Elastic Beanstalk, and managed the migration of Amazon’s retail platform to a new service-based architecture.
Lee has consulted with leading organizations on how to modernize their application architectures and transform their organizations at scale; including optimize for cloud platforms, utilize service based architectures, implement DevOps practices, and design for high availability. This experience lead him to write his book “Architecting for Scale”, published in 2016 by O’Reilly Media.
Lee is an industry expert and is widely quoted in publications such as Diginomica, IT Brief, Programmable Web, CIO Review, and DZone. He has been a featured speaker at events across the globe from London to Sydney, Tokyo to Paris, and all over North America.
目录信息
读后感
Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and syste...
评分Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and syste...
评分Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and syste...
评分Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and syste...
评分Every day, companies struggle to scale critical applications. As traffic volume and data demands increase, these applications become more complicated and brittle, exposing risks and compromising availability. This practical guide shows IT, devops, and syste...
用户评价
与其他同类书籍相比，这本第二版在对“云原生”生态系统的整合上做得最为前沿和深入。它不仅仅提到了容器和编排工具，而是深入挖掘了服务网格（Service Mesh）如Istio在流量管理、安全策略和服务间通信方面的实际部署考量和性能权衡。书中对Sidecar模式的资源开销分析非常细致，并且提供了优化建议，这些都是只有在真实大规模部署后才能体会到的“坑”。令我印象深刻的是，作者对“可观测性”的定义超越了传统的日志和指标，强调了分布式追踪在调试复杂交互中的核心地位，并给出了基于OpenTelemetry的实践建议。这本书的知识体系是活的，它不仅总结了过去十年的架构经验，更像是对未来三到五年技术栈演进方向的精准预判。对于任何希望在瞬息万变的技术浪潮中保持领先地位的架构师而言，这本书无疑是一份不可或缺的战略地图。
评分这本书的结构组织得极其巧妙。它没有采用传统的自底向上或自顶向下的线性叙事，而是采用了模块化的设计，允许不同经验水平的读者根据自己的需求跳跃式阅读。对于我这种已经在线上系统摸爬滚打多年的人来说，我直接跳到了关于“技术债务的量化与偿还策略”那一章。这一章的深刻见解令人拍案叫绝。作者没有用空洞的口号来谈论重构，而是提供了一套基于业务价值和维护风险的打分体系，来帮助团队决定何时应该停下来进行必要的“架构清洁”。这种务实的态度在学院派的著作中是很难得的。此外，书中对“架构师的领导力”这一非技术环节的探讨也十分到位，它强调了沟通和跨职能协作的重要性，指出再完美的蓝图也需要有效的“销售”才能落地。这本书真正做到了技术与管理、工程与艺术的完美结合。
评分这本书简直是为那些在软件架构的汪洋大海中感到迷茫的工程师们点亮的一盏明灯。我花了大量时间阅读，尤其是对第二版中关于微服务部署策略的章节印象深刻。它不仅仅是罗列了各种技术名词，而是深入剖析了为什么在特定场景下应该选择Kubernetes的某个特定模式，以及这种选择对长期维护成本和可观测性的影响。作者的叙述方式非常引人入胜，仿佛在进行一次高端的技术研讨会，他总能巧妙地将抽象的理论概念与实际的生产环境故障排除案例联系起来。我特别欣赏其中关于“弹性设计”的部分，它不再是教科书式的介绍，而是通过一系列详细的图表和伪代码展示了如何构建一个能够优雅地应对峰值流量和依赖服务中断的系统。读完这部分，我立刻着手改进了我司核心系统的熔断机制，效果立竿见影。这本书的深度远超出了市面上大多数泛泛而谈的架构指南，它要求读者具备一定的基础知识，但回报是巨大的——它能让你从“能用”的系统，跃升到“健壮且可扩展”的境界。
评分我从这本书中获取到的最宝贵财富，是关于“演进式架构”的实操指南。第一版我已经读过，但第二版在这方面进行了令人印象深刻的扩充，特别是关于“绞杀者模式”（Strangler Fig Pattern）在遗留系统现代化过程中的具体应用。书中通过一个详尽的、分阶段的重构路线图，展示了如何将一个庞大、耦合的单体应用逐步拆解为高内聚的微服务集群，而中间过渡期系统的稳定性和用户体验如何得到保障。作者对灰度发布、蓝绿部署以及特征开关（Feature Toggles）在大型迁移项目中的集成策略描述得淋漓尽致，几乎可以直接拿来当做项目规划文档的模板使用。这种手把手的引导，远比那些只谈论“微服务是未来”的宣传册要实在得多。它教会了我如何将宏大的架构目标分解为可执行、可验证的小步骤，极大地降低了重构的心理和技术门槛。
评分老实说，我原本对这类主题的书籍持保留态度，总觉得它们充斥着营销辞令，缺乏实质性的干货。然而，这本第二版完全颠覆了我的看法。最让我惊喜的是它对数据一致性和最终一致性权衡的讨论。作者用一种近乎哲学家的严谨性，探讨了CAP定理在现代分布式系统中的实际意义，并给出了一套非常实用的决策框架。我记得书中有一个案例，关于如何设计一个跨地域的库存管理系统，其中对事务隔离级别和延迟容忍度的分析细致入微，考虑到了网络分区、时钟漂移等一系列现实中难以控制的变量。这不像是一本技术书，更像是一本高阶的系统设计哲学读本。如果你仅仅想知道“如何部署一个Docker容器”，那可能这本书对你来说有点“重”，但如果你想知道“在面对全球化用户和毫秒级延迟要求时，你该如何组织你的数据流以确保业务的连续性”，那么，请立刻入手。它的价值在于教会你如何思考“为什么”而不是仅仅停留在“怎么做”。
评分intend per managers，a guiding reading
评分intend per managers，a guiding reading
评分intend per managers，a guiding reading
评分intend per managers，a guiding reading
评分intend per managers，a guiding reading
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