Java Dependency Management

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Java Developer Prerequisites: PAAs Solution Inventory

PaaS (Platform-as-a-service) is a kind of cloud service, the service provider not only provides on-demand hardware and operating system services, but also provides the application platform and solution stack. For developers, PAAs greatly reduces the cost and pain of it deployments, providing resources for applications to scale more easily as needed. JVMs, application servers, and deployment packages (for example, war and ear) provide natural isolation for Java applications, allowing different developers to deploy applications in the same infrastructure, so JAV ...

Java Development 2.0: Implementing REST through CouchDB and Groovy restclient

In the past few years, the innovative development of the open source world has elevated the productivity of Java™ developers to one level. Free tools, frameworks and solutions make up for once-scarce vacancies. The Apache CouchDB, which some people think is a WEB 2.0 database, is very promising. It's not difficult to master CouchDB, it's as simple as using a Web browser. This issue of Java open ...

JBPM 5.4 Publishing with Java Workflow engine (latest features)

Download: https://sourceforge.net/projects/jbpm/files/jBPM%205/jbpm-5.4.0.Final/Documentation: HTTP://DOCS.JBOSS.ORG/JBPM/V5.4/ Userguide/api and javadocs:http://docs.jboss.org/jbpm/v5.4/javadocs/&nb ...

Spark: The Lightning flint of the big Data age

Spark is a cluster computing platform that originated at the University of California, Berkeley Amplab. It is based on memory calculation, from many iterations of batch processing, eclectic data warehouse, flow processing and graph calculation and other computational paradigm, is a rare all-round player. Spark has formally applied to join the Apache incubator, from the "Spark" of the laboratory "" EDM into a large data technology platform for the emergence of the new sharp. This article mainly narrates the design thought of Spark. Spark, as its name shows, is an uncommon "flash" of large data. The specific characteristics are summarized as "light, fast ...

What exactly did Docker affect?

"Editor's note" as the hottest technology in the 2014, Docker won the support of major manufacturers at home and abroad. In this paper, the Cloud stack technology VP Shi Haixu from the traditional virtualization, CaaS (container that is, service), iaas,paas,cmp, the traditional isv,devops of these angles, the impact of the Docker, the following is the original: docker,14 one of the hottest words, Has aroused thousands of attention. On the edge of the 2014, aside from the various technical content and links, we feel from a more macroscopic point of view and we share the doc ...

The architecture design of depth analysis Cloudfoundry

VMware suddenly released its first open source Paas--cloudfoundry this April. In the months since its release, the author has been concerned about its evolution and benefited from its architectural design, and felt the need to write to share it with you. This article will be divided into two parts: the first part mainly introduces the architecture design of Cloudfoundry, from the module that it contains, to the information flow of each part, how the modules coordinate and cooperate; The second part will be based on the first part, how to use Clou in your data center ...

The combination of Spark and Hadoop

Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...

Code versioning and building for Rational team concert

This article expands the RTC construction function, simplifies the user to operate, facilitates the http://www.aliyun.com/zixun/aggregation/7155.html "> the developer's coordinated work, thus improves the efficiency, and prevent the newly committed code from causing the build failure dependency. At the same time, the results of the comparison of the construction of the expansion, can quickly compare the new features rather than a simple changeset. Finally, automatic deployment is done by customizing the user Configuration. Rational team ...

Task scheduling and monitoring system for large data platform

A task scheduling system is being developed to solve the task management, scheduling and monitoring under the large data platform.   Timed triggers and dependency triggers.   System module: JobManager: Master of the dispatch system, provide RPC service, receive and process all the operations submitted by Jobclient/web, communicate with metadata, maintain job metadata, and maintain, Trigger, dispatch and monitor the unified configuration of the task; Jobmonitor: Monitoring the running job status, monitoring task pool 、...

Ali cloud ODPS vision, technology and difficulties

In January 2014, Aliyun opened up its ODPS service to open beta. In April 2014, all contestants of the Alibaba big data contest will commission and test the algorithm on the ODPS platform. In the same month, ODPS will also open more advanced functions into the open beta. InfoQ Chinese Station recently conducted an interview with Xu Changliang, the technical leader of the ODPS platform, and exchanged such topics as the vision, technology implementation and implementation difficulties of ODPS. InfoQ: Let's talk about the current situation of ODPS. What can this product do? Xu Changliang: ODPS is officially in 2011 ...

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