本书围绕如何构建高性能Web站点，从多个方面、多个角度进行了全面的阐述，涵盖了Web站点性能优化的几乎所有内容，包括数据的网络传输、服务器并发处理能力、动态网页缓存、动态网页静态化、应用层数据缓存、分布式缓存、Web服务器缓存、反向代理缓存、脚本解释速度、页面组件分离、浏览器本地缓存、浏览器并发请求、文件的分发、数据库I/O优化、数据库访问、数据库分布式设计、负载均衡、分布式文件系统、性能监控等。在这些内容中充分抓住本质并结合实践，通过通俗易懂的文字和生动有趣的配图，让读者充分并深入理解高性能架构的真相。同时，本书充分应用跨学科知识和科学分析方法，通过宽泛的视野和独特的角度，将本书的内容展现得更加透彻和富有趣味。

《海量运维、运营规划之道》作者具有腾讯、百度等中国一线互联网公司多年从业经历，书中依托工作实践，以互联网海量产品质量、效率、成本为核心，从规划、速度、监控、告警、安全、管理、流程、预案、考核、设备、带宽等方面，结合大量案例与读者分享了作者对互联网海量运维、运营规划的体会。 《海量运维、运营规划之道》全面介绍大型互联网公司运维工作所涉及的各个方面，是每个互联网运维工程师、架构师、管理人员不可或缺的宝贵参考书。

本书是著名的网络服务供应商Hatena和Klab有限公司的工程师团队的经验总结。全书从实际的生产环境出发，就大规模、高性能、不间断的网络服务的搭建和管理技术进行了分析和说明。前3章讲解了如何搭建兼具冗余性和可扩展性的服务器/基础设施；第4章讲解了性能优化方面的内容，特别是对单个服务器的性能提升方法进行了介绍；第5章讲解了监控、管理等运行方面的内容，以笔者身边的实际生产环境为例，介绍了提升设备运行效率的技巧；第6章介绍了Hatena与KLab实际运作的网络和服务器基础设施的情况。 本书适合所有致力于运维和网络后端的开发者阅读。

This book is about different techniques that help us architect software in a better and more efficient way with microservices packed as immutable containers, tested and deployed continuously to servers that are automatically provisioned with configuration management tools. It's about fast, reliable and continuous deployments with zero-downtime and ability to roll-back. It's about scaling to any number of servers, design of self-healing systems capable of recuperation from both hardware and software failures and about centralized logging and monitoring of the cluster.In other words, this book envelops the whole microservices development and deployment lifecycle using some of the latest and greatest practices and tools. We'll use Docker, Kubernetes, Ansible, Ubuntu, Docker Swarm and Docker Compose, Consul, etcd, Registrator, confd, and so on. We'll go through many practices and even more tools. Finally, while there will be a lot of theory, this is a hands-on book. You won't be able to complete it by reading it in a metro on a way to work. You'll have to read this book while in front of the computer and get your hands dirty.

《持续演进的Cloud Native：云原生架构下微服务最佳实践》从架构、研发流程、团队文化三个角度详细介绍了如何构建Cloud Native。作者长期活跃在研发一线，具有丰富的架构设计经验，也曾亲身经历过很多失败的架构设计，如很多团队在实施微服务架构的时候，只强调拆分服务，根本没有理解微服务架构应该怎么做。《持续演进的Cloud Native：云原生架构下微服务最佳实践》就是想告诉读者，除了拆分服务，还要把哪些事做好，例如基础设施、一致性、性能、研发流程、团队文化等。 《持续演进的Cloud Native：云原生架构下微服务最佳实践》共分为10 章，第1 章从整体上描述了Cloud Native 的起源、组成及原则等；从第2 章到第7 章重点描述了微服务架构、敏捷基础设施及公共基础服务、可用性、可扩展性、性能、一致性等方面的设计实践；第8 章介绍了Serverless 和Service Mesh；第9 章介绍了如何构建研发流程；第10 章介绍了如何建设团队文化。 《持续演进的Cloud Native：云原生架构下微服务最佳实践》希望给技术管理者、架构师和有一定基础的技术人员提供帮助，特别是希望改变研发模式，从交付型软件过渡到云服务的传统软件企业开发者，此书将帮助你少走弯路。

《性能之巅：洞悉系统、企业与云计算》基于Linux 和Solaris 系统阐述了适用于所有系统的性能理论和方法，Brendan Gregg 将业界普遍承认的性能方法、工具和指标收集于本书之中。阅读本书，你能洞悉系统运作的方式，学习到分析和提高系统与应用程序性能的方法，这些性能方法同样适用于大型企业与云计算这类最为复杂的环境的性能分析与调优。

The overwhelming majority of a software system’s lifespan is spent in use, not in design or implementation. So, why does conventional wisdom insist that software engineers focus primarily on the design and development of large-scale computing systems? In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient—lessons directly applicable to your organization.

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 system reliability managers how to prevent an application from becoming slow, inconsistent, or downright unavailable as it grows.Scaling isn’t just about handling more users; it’s also about managing risk and ensuring availability. Author Lee Atchison provides basic techniques for building applications that can handle huge quantities of traffic, data, and demand without affecting the quality your customers expect.In five parts, this book explores:Availability: learn techniques for building highly available applications, and for tracking and improving availability going forwardRisk management: identify, mitigate, and manage risks in your application, test your recovery/disaster plans, and build out systems that contain fewer risksServices and microservices: understand the value of services for building complicated applications that need to operate at higher scaleScaling applications: assign services to specific teams, label the criticalness of each service, and devise failure scenarios and recovery plansCloud services: understand the structure of cloud-based services, resource allocation, and service distribution

《计算机科学概论》是计算机科学概论课程的经典教材，全书对计算机科学做了百科全书式的精彩阐述，充分展现了计算机科学的历史背景、发展历程和新的技术趋势。《计算机科学概论》首先介绍的是信息编码及计算机体系结构的基本原理，进而讲述操作系统和组网及因特网，接着探讨算法、程序设计语言及软件工程，然后讨论数据抽象和数据库方面的问题，讲述图形学的一些主要应用以及人工智能，以计算理论的介绍结束全书。《计算机科学概论》在内容编排上由具体到抽象逐步推进，很适合教学安排，每一个主题自然而然地引导出下一个主题。此外，书中还包含大量的图、表和示例，有助于读者对知识的了解与把握。 第12版主要是将Python程序设计语言方面的介绍纳入了重点章节，除了增加与Python相关的内容，几乎每一章都能看到对前一版对应章节的修订、更新以及修正。