Apache Mesos是先进的集群管理器，既可以作为灵活的部署系统，也可以作为强大的执行平台。它不仅为分布式应用程序提供了良好的资源隔离，而且突破性地实现了资源的灵活共享，极大地提高了资源的整体利用率。
《用Mesos框架构建分布式应用》深入浅出，首先介绍了Mesos的基础知识，随后重点介绍Mesos的两种开源框架（Marathon和Chronos）。以实际程序样例为线索，一步步讲解如何配置，如何交互，以及如何构建深度集成。接着详细介绍如何为Mesos构建自定义的框架，如何构建核心Mesos API。最后深入研究Mesos的一些高级特性，比如和Docker的集成、其内部架构，以及一些最先进的API，包括数据库的持久化磁盘管理和框架预约系统。

Go is an open-source programming language that makes it easy to build clean, reliable, and efficient software. It has been winning converts from dynamic language enthusiasts as well as users of traditional compiled languages. The former appreciate the robustness and efficiency that Go's lightweight type system brings to their code; the latter find Go's simplicity and fast tools a refreshing change. Thanks to its well-designed standard libraries and its excellent support for concurrent programming, Go is fast becoming the language of choice for distributed systems.<br /> <br /><strong>The Go Programming Language</strong> is the definitive book on Go for the working programmer. It assumes no prior knowledge of Go, nor any other specific programming language, so you'll find it an accessible guide whether you come from JavaScript, Ruby, Python, Java, or C++.<br /> <br />The book will quickly get you started using Go effectively from the beginning, and by the end, you will know how to use it well to write clear, idiomatic and efficient programs to solve real-world problems. You'll understand not just how to use its standard libraries, but how they work, and how to apply the same design techniques to your own projects.<br /> <br />The earlier chapters will introduce you to the basic concepts of Go programming---numbers, strings, functions---while at the same time presenting important computer science concepts like recursion, and useful examples of graphics, UTF-8, and error handling. The chapters on methods and interfaces will show you a new way to think about object-oriented programming; the chapter on concurrency explains why concurrency is so important in modern programming, and how Go helps you handle it well. You'll also learn about Go's pragmatic but effective approach to testing; how to build, test, and manage projects using the go tool, and the art of metaprogramming using reflection.<br /> <br />The book contains hundreds of interesting and practical examples that cover the whole language and a wide range of applications. The code samples from the book are available for download from gopl.io.

Summary
Akka in Action is a comprehensive tutorial on building message-oriented systems using Akka. The book takes a hands-on approach, where each new concept is followed by an example that shows you how it works, how to implement the code, and how to (unit) test it.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Technology
Akka makes it relatively easy to build applications in the cloud or on devices with many cores that efficiently use the full capacity of the computing power available. It's a toolkit that provides an actor programming model, a runtime, and required support tools for building scalable applications.
About the Book
Akka in Action shows you how to build message-oriented systems with Akka. This comprehensive, hands-on tutorial introduces each concept with a working example. You'll start with the big picture of how Akka works, and then quickly build and deploy a fully functional REST service out of actors. You'll explore test-driven development and deploying and scaling fault-tolerant systems. After mastering the basics, you'll discover how to model immutable messages, implement domain models, and apply techniques like event sourcing and CQRS. You'l also find a tutorial on building streaming applications using akka-stream and akka-http. Finally, you'l get practical advice on how to customize and extend your Akka system.
What's Inside
Getting concurrency right
Testing and performance tuning
Clustered and cloud-based applications
Covers Akka version 2.4
About the Reader
This book assumes that you're comfortable with Java and Scala. No prior experience with Akka required.

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.

The key to client/server computing. Transaction processing techniques are deeply ingrained in the fields of databases and operating systems and are used to monitor, control and update information in modern computer systems. This book will show you how large, distributed, heterogeneous computer systems can be made to work reliably. Using transactions as a unifying conceptual framework, the authors show how to build high-performance distributed systems and high-availability applications with finite budgets and risk. The authors provide detailed explanations of why various problems occur as well as practical, usable techniques for their solution. Throughout the book, examples and techniques are drawn from the most successful commercial and research systems. Extensive use of compilable C code fragments demonstrates the many transaction processing algorithms presented in the book. The book will be valuable to anyone interested in implementing distributed systems or client/server architectures.

《Paxos到Zookeeper：分布式一致性原理与实践》从分布式一致性的理论出发，向读者简要介绍几种典型的分布式一致性协议，以及解决分布式一致性问题的思路，其中重点讲解了Paxos和ZAB协议。同时，本书深入介绍了分布式一致性问题的工业解决方案——ZooKeeper，并着重向读者展示这一分布式协调框架的使用方法、内部实现及运维技巧，旨在帮助读者全面了解ZooKeeper，并更好地使用和运维ZooKeeper。全书共8章，分为五部分：第一部分（第1章）主要介绍了计算机系统从集中式向分布式系统演变过程中面临的挑战，并简要介绍了ACID、CAP和BASE等经典分布式理论；第二部分（第2～4章）介绍了2PC、3PC和Paxos三种分布式一致性协议，并着重讲解了ZooKeeper中使用的一致性协议——ZAB协议；第三部分（第5～6章）介绍了ZooKeeper的使用方法，包括客户端API的使用以及对ZooKeeper服务的部署与运行，并结合真实的分布式应用场景，总结了ZooKeeper使用的最佳实践；第四部分（第7章）对ZooKeeper的架构设计和实现原理进行了深入分析，包含系统模型、Leader选举、客户端与服务端的工作原理、请求处理，以及服务器角色的工作流程和数据存储等；第五部分（第8章）介绍了ZooKeeper的运维实践，包括配置详解和监控管理等，重点讲解了如何构建一个高可用的ZooKeeper服务。

For this third edition of "Distributed Systems," the material has been thoroughly revised and extended, integrating principles and paradigms into nine chapters: 1. Introduction 2. Architectures 3. Processes 4. Communication 5. Naming 6. Coordination 7. Replication 8. Fault tolerance 9. Security A separation has been made between basic material and more specific subjects. The latter have been organized into boxed sections, which may be skipped on first reading. To assist in understanding the more algorithmic parts, example programs in Python have been included. The examples in the book leave out many details for readability, but the complete code is available through the book's Website, hosted at www.distributed-systems.net. A personalized digital copy of the book is available for free, as well as a printed version through Amazon.com.

Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.
You’ll explore the basic operations and common functions of Spark’s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Spark’s scalable machine-learning library.

A lucid and up-to-date introduction to the fundamentals of distributed computing systems As distributed systems become increasingly available, the need for a fundamental discussion of the subject has grown. Designed for first-year graduate students and advanced undergraduates as well as practicing computer engineers seeking a solid grounding in the subject, this well-organized text covers the fundamental concepts in distributed computing systems such as time, state, simultaneity, order, knowledge, failure, and agreement in distributed systems. Departing from the focus on shared memory and synchronous systems commonly taken by other texts, this is the first useful reference based on an asynchronous model of distributed computing, the most widely used in academia and industry. The emphasis of the book is on developing general mechanisms that can be applied to a variety of problems. Its examples-clocks, locks, cameras, sensors, controllers, slicers, and synchronizers-have been carefully chosen so that they are fundamental and yet useful in practical contexts. The text's advantages include:* Emphasizes general mechanisms that can be applied to a variety of problems * Uses a simple induction-based technique to prove correctness of all algorithms * Includes a variety of exercises at the end of each chapter * Contains material that has been extensively class tested * Gives instructor flexibility in choosing appropriate balance between practice and theory of distributed computing

In modern computing a program is usually distributed among several processes. The fundamental challenge when developing reliable and secure distributed programs is to support the cooperation of processes required to execute a common task, even when some of these processes fail. Failures may range from crashes to adversarial attacks by malicious processes.
Cachin, Guerraoui, and Rodrigues present an introductory description of fundamental distributed programming abstractions together with algorithms to implement them in distributed systems, where processes are subject to crashes and malicious attacks. The authors follow an incremental approach by first introducing basic abstractions in simple distributed environments, before moving to more sophisticated abstractions and more challenging environments. Each core chapter is devoted to one topic, covering reliable broadcast, shared memory, consensus, and extensions of consensus. For every topic, many exercises and their solutions enhance the understanding
This book represents the second edition of "Introduction to Reliable Distributed Programming". Its scope has been extended to include security against malicious actions by non-cooperating processes. This important domain has become widely known under the name "Byzantine fault-tolerance".