failure5152的专栏

Containers have a long and storied history in computing. Unlike hypervisor virtualization, where one or more independent machines run virtually on physical hardware via an intermediation layer, containers instead run user space on top of an operating system's kernel. As a result, container virtualization is often called operating system-level virtualization. Container technology allows multiple isolated user space instances to be run on a single host. As a result of their status as guests of the operating system, containers are sometimes seen as less flexible: they can generally only run the same or a similar guest operating system as the underlying host. For example, you can run Red Hat Enterprise Linux on an Ubuntu server, but you can't run Microsoft Windows on top of an Ubuntu server. Containers have also been seen as less secure than the full isolation of hypervisor virtualization. Countering this argument is that lightweight containers lack the larger attack surface of the full operating system needed by a virtual machine combined with the potential exposures of the hypervisor layer itself.

Programming is not at all a linear path. Often, you find yourself facing a fork in the road. In choosing one path, you are likely to find, after a period of time, that you go back and travel down the other. While it is assumed that you are familiar with HTML, CSS, and JavaScript, this book makes no further assumptions regarding your experience. Therefore, it attempts to provide a thorough explanation for everything you will read in it. While JSON is the essence of this book, it is not the sole topic discussed. While that may sound counterproductive, it is a much-needed requirement. JSON can be devised in isolation, but it would serve little purpose. What makes JSON so impactful is that it interacts with the many tools of the developer. For this reason, this book covers a wide range of implementations—from libraries to software.

This second edition covers Hadoop 2, which at the time of writing is the current production-ready version of Hadoop. The first edition of the book covered Hadoop 0.22 (Hadoop 1 wasn’t yet out), and Hadoop 2 has turned the world upside-down and opened up the Hadoop platform to processing paradigms beyond MapReduce. YARN, the new scheduler and application manager in Hadoop 2, is complex and new to the community, which prompted me to dedicate a new chapter 2 to covering YARN basics and to discussing how MapReduce now functions as a YARN application. Parquet has also recently emerged as a new way to store data in HDFS—its columnar format can yield both space and time efficiencies in your data pipelines, and it’s quickly becoming the ubiquitous way to store data. Chapter 4 includes extensive coverage of Parquet, which includes how Parquet supports sophisticated object models such as Avro and how various Hadoop tools can use Parquet. How data is being ingested into Hadoop has also evolved since the first edition, and Kafka has emerged as the new data pipeline, which serves as the transport tier between your data producers and data consumers, where a consumer would be a system such as Camus that can pull data from Kafka into HDFS. Chapter 5, which covers moving data into and out of Hadoop, now includes coverage of Kafka and Camus.

Java RMI Tutorial 清晰的讲述了RMI原理。并带一个简单实例。

JBoss in Action.pdf 英文

Java Web Services Up and Running, 1st Edition.chm 英文

Apress - Mule 2 Developer’s Guide to ESB and Integration Platform.pdf 英文的

Manning.Ant.in.Action.2nd.Edition.Jul.2007.pdf ant Manning实战系列 第二版

ESB资料，Manning实战系列....

Hibernate程序高手秘笈.pdf，不错的HIbernate资料

IBMWebsphere MQ入门教程，比较详细，共217页

IBM MQ6.0 JAVA编程.pdf,里面含有MQ的API

Quartz入门和Quartz开发指南

搜索引擎-原理、技术与系统，不错哦

深入浅出struts2，struts2教程

重发 深入浅出系列之二_SubVersion.part1.rar 第一部分

已重发了 不要下这个，这个不全

深入浅出系列之一_WinCVS，不错的cvs教程

tomcat-6.0.13源代码，有兴趣的可以研究下

struts2基础,不错的哦!