伦恩·拜斯（Len Bass） 澳大利亚NICTA的高级首席研究员。他曾在卡内基梅隆大学软件工程研究所工作25年，有超过50年的软件开发和研究经验。他是两本软件架构方面获奖图书的合作者（《Software Architecture in Practice, Third Edition》和《Documenting Software Architectures：Views and Beyond，Second Edition》），他还与人合作出版或发表了数篇计算机科学与软件工程领域的其他书籍和论文。 英戈·韦伯（Ingo Weber） 澳大利亚NICTA软件系统研究组的高级研究员，也是新南威尔士大学计算机科学与工程系的兼职高级讲师。他的研究领域包括云计算、DevOps、业务过程管理以及人工智能。 朱黎明（Liming Zhu）　澳大利亚NICTA一个研究小...(展开全部)

Master the Crucial Non-Technical Skills Every Software Architect Needs! Thousands of software professionals have the necessary technical qualifications to become architects, but far fewer have the crucial non-technical skills needed to get hired and succeed in this role. In today's agile environments, these "soft" skills have grown even more crucial to success as an architect. ...(展开全部)

A transformational guide to the profession of software architecture. Whether a structure is built of bricks, steel, or computer code, the process begins with an architect and client. Together they arrive at a shared vision-a plan-that the architect guides through the bidding, construction, and implementation phases. The Parthenon and the Empire State Building were built accord...(展开全部)

This course is for developers who want to understand how the infrastructure that builds today's enterprises works, and how to painlessly and regularly ship quality software.

作者：（美国）戴维·亨德里克森（Dave Hendricksen） 译者：姚军 戴维·亨德里克森（Dave Hendricksen），全球三大咨询提供商汤姆森路透集团（ThomsonReuters）公司资深软件架构师，在软件架构方面有非常深的造诣。在公司中，他与新产品开发团队紧密合作，为大规模在线平台（如Westlaw.com）创建新颖的法律产品。Hendricksen曾在卡内基梅隆大学具有影响力的软件工程学院做过题为“在敏捷世界中设计和构建大规模系统”的演讲。 姚军，曾在多家证券公司担任IT经理，在软硬件项目实施、网络管理及应用领域有15年以上的工作经验，自2006年以来已有多部译作出版。

This fully revised and updated text is a comprehensive introduction to astronomical objects and phenomena. By applying some basic physical principles to a variety of situations, students will learn how to relate everyday physics to the astronomical world. Starting with the simplest objects, the text contains explanations of how and why astronomical phenomena occur, and how astr...(展开全部)

Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers.Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more.By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently.

This collection of short expository, critical, and speculative texts offers a field guide to the cultural, political, social, and aesthetic impact of software. Computing and digital media are essential to the way we work and live, and much has been said about their influence. But the very material of software has often been left invisible. In Software Studies, computer scientis...(展开全部)

Randal E.Bryant　1973年于密歇根大学（University of Michigan）获得学士学位，随即就读于麻省理工学院的研究生院，并在1981年获计算机博士学位。他在加州理工学院（California Institute of Technology）做了三年助教，从1984年至今一直是卡内基-梅隆大学的教师。他现在是计算机科学的大学教授和计算机科学学院的院长。他同时还受邀于电子和计算机工程系。 他从事本科生和研究生计算机系统方面课程的教学超过30年。在讲授计算机体系结构课程多年后，他开始把关注点从如何设计计算机转移到程序员如何在更好的了解系统的情况下编写出更有效和更可靠的程序。他和O’Hallaron教授一起在卡内基梅隆大学开设了15-213“计算机系统导论”课程，那便是此书的基础。他还教授一些有关算法、编程、计算机网络和VLSI...(展开全部)

雷金纳德•戈列奇（Reginald Golledge）其研究兴趣包括空间认知(Spatial Cognition)、认知地图(Cognitive Mapping)、空间知识的获取(Spatial K nowledge Acquisition)、空间能力(Spatial Abilities)、特殊的决策和选择行为(Special decision-making and choice behavior),主要研究领域涉及地理学、区域科学和认知心理学。