构建响应式分布式系统:Reactive Design Patterns 概览

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"Reactive Design Patterns 1st Edition" 是一本深入探讨反应式设计模式的书籍,由Roland Kuhn、Brian Hanafee和Jamie Allen撰写,并由Jonas Bonér作序。这本书专注于构建能够应对分布式系统中故障、资源压力和全球信息分布的弹性、响应迅速的应用。它提供了一系列针对消息驱动架构的模式,包括故障恢复、流量控制、资源管理和并发处理。书中的每个模式都使用Scala和Akka给出了具体的实现示例。 本书适合熟悉分布式系统的读者,尤其是对Java和Scala有了解的开发者。作者们是Akka团队的核心成员,他们分享了在构建高可用、高性能系统时的经验教训。书中不仅包含了反应式编程的基本原理,如消息传递、位置透明性、分而治之的策略,还详细介绍了如何处理故障、保持一致性、处理非确定性和管理消息流等。 书的目录分为三个部分: 1. **INTRODUCTION**(介绍) - **Why Reactive?**(为什么选择反应式?):解释反应式编程的必要性和优势,基于反应式宣言进行阐述。 - **A walk-through of the Reactive Manifesto**(反应式宣言详解):深入解析反应式宣言的关键原则。 - **Tools of the trade**(工具概览):介绍用于构建反应式应用的关键技术和工具有哪些。 2. **THE PHILOSOPHY IN A NUTSHELL**(哲学精要) - **Message passing**(消息传递):讲解如何通过消息传递来实现组件间的通信。 - **Location transparency**(位置透明性):确保组件间的交互不受物理位置影响。 - **Divide and conquer**(分而治之):如何将大型问题分解为可管理的小任务。 - **Principled failure handling**(原则化的故障处理):如何优雅地处理和恢复故障。 - **Delimited consistency**(限定一致性):在分布式环境中保持一致性的方式。 - **Nondeterminism by need**(按需非确定性):如何在必要时接受和处理非确定性。 - **Message flow**(消息流):设计和管理复杂的消息传递流程。 3. **PATTERNS**(模式) - **Testing reactive applications**(测试反应式应用):如何设计测试友好的反应式系统。 - **Fault tolerance and recovery patterns**(故障容忍与恢复模式):包括断路器模式等,用于防止一个慢速组件拖慢整个系统。 - **Replication patterns**(复制模式):用于数据冗余和高可用性的策略。 - **Resource-management patterns**(资源管理模式):如何有效地分配和管理资源。 - **Message flow patterns**(消息流模式):指导如何设计高效的消息传递结构。 - **Flow control patterns**(流量控制模式):避免过载并维持系统稳定的方法。 - **State management and persistence patterns**(状态管理与持久化模式):处理状态变化和数据持久化的问题。 通过学习这本书,读者可以掌握如何构建适应大规模用户负载、能自我调整并保持响应性的现代web应用。作者们分享的实际案例和经验教训有助于读者在实际项目中应用这些模式,以构建出可扩展、可维护的反应式系统。
2017-04-20 上传
Key Features Dive into the core patterns and components of React.js in order to master your application's design Improve their debugging skills using the DevTools This book is packed with easy-to-follow examples that can be used to create reusable code and extensible designs Book Description Taking a complete journey through the most valuable design patterns in React, this book demonstrates how to apply design patterns and best practices in real-life situations, whether that's for new or already existing projects. It will help you to make your applications more flexible, perform better, and easier to maintain - giving your workflow a huge boost when it comes to speed without reducing quality. We'll begin by understanding the internals of React before gradually moving on to writing clean and maintainable code. We'll build components that are reusable across the application, structure applications, and create forms that actually work. Then we'll style React components and optimize them to make applications faster and more responsive. Finally, we'll write tests effectively and you'll learn how to contribute to React and its ecosystem. By the end of the book, you'll be saved from a lot of trial and error and developmental headaches, and you will be on the road to becoming a React expert. What You Will Learn Write clean and maintainable code Create reusable components applying consolidated techniques Use React effectively in the browser and node Choose the right styling approach according to the needs of the applications Use server-side rendering to make applications load faster Build high-performing applications by optimizing components About the Author Michele Bertoli is a frontend engineer with a passion for beautiful UIs. Born in Italy, he moved to London with his family to look for new and exciting job opportunities. He has a degree in computer science and loves clean and well-tested code. Currently, he is working
2017-09-07 上传
Modern distributed applications must deliver near-realtime performance while at the same time managing big data and high user loads spread across environments ranging from cloud systems to mobile devices. Unlike traditional enterprise applications that enforce highly-structured pathways for data and procedures, Reactive applications are built around loosely-coupled, asynchronous components that 'react' efficiently to events like competition for shared resources, system failures, and user demands. These systems are highly-concurrent and fault-tolerant, with minimal dependencies among individual system components. Because they're designed to use fresh tools like Scala and Akka, they can combine familiar ideas, such as message passing, with new ideas like actor-based concurrency and CQRS, the Command-Query-Responsibility-Segregation data pattern., Reactive Design Patterns is a clearly-written guide for building event-driven distributed systems that are resilient, responsive, and scalable. In it, you'll find patterns for messaging, flow control, resource management, and concurrency, along with practical issues like test-friendly designs. All patterns include concrete examples using Scala and Akka. In some cases, you'll also see examples in Java, JavaScript, and Erlang. Software engineers and architects will learn patterns that address day-to-day distributed development problems in a fault-tolerant and scalable way. Project leaders and CTOs will gain a deeper understanding of the reactive design philosophy.