AWS Lambda lets you quickly and easily build and run applications on the AWS cloud that automatically run code in response to events. AWS Lambda makes back-end tasks like producing a thumbnail from a new image or processing requests from a mobile app simple to implement, ready for web-scale traffic, and free of the overhead of managing scalability and availability. With AWS Lambda, every interaction between resources is the potential source of an event that can be processed in near real-time by a function hosted by Lambda. This event-driven approach in the back end of your application lets you focus on developing unique features, freeing you from management of infrastructure. With AWS Lambda, the scope of your application is naturally divided in small functions, giving you a reactive architecture and the right approach to adopt microservices. AWS Lambda in Action is an example-driven tutorial that teaches you how to build applications that use an event-driven approach on the back end. You'll begin with an overview of how AWS Lambda works and move on to expose those functions as web API using Amazon API Gateway. After an introduction to how to approach security, you move on to common examples and patterns that you can easily reuse to call Lambda functions from a web page or a mobile app. The second part of the book puts all those smaller examples together to build larger applications. Learn also how AWS Lambda can be used to manage resources on AWS, react to notifications and alarms from other AWS services, and even use Lambda functions to deploy other Lambda functions, building a new kind of Continuous Integration. By the end of this book, you'll be ready to use AWS Lambda to create applications that take advantage of the high availability, security, performance, and scalability of AWS.

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。

《Web数据挖掘:超文本数据的知识发现(英文版)》是信息检索领域的名著，深入讲解了从大量非结构化Web数据中提取和产生知识的技术。书中首先论述了Web的基础(包括Web信息采集机制、Web标引机制以及基于关键字或基于相似性搜索机制)，然后系统地描述了Web挖掘的基础知识，着重介绍基于超文本的机器学习和数据挖掘方法，如聚类、协同过滤、监督学习、半监督学习，最后讲述了这些基本原理在Web挖掘中的应用。《Web数据挖掘》为读者提供了坚实的技术背景和最新的知识。