SpringOne2GX 2014 Replay: Building a Continuous Delivery Pipeline with Gradle and Jenkins

Engineering | Pieter Humphrey | February 10, 2015 | ...

Recorded at SpringOne2GX 2014.

Speaker: Peter Niederwieser

G&G Special Topics

Slides: http://www.slideshare.net/SpringCentral/continuous-delivery-with-gradle-and-jenkins

Getting software from a developer's machine to a production environment without a fully automated process is time-consuming and error-prone. Continuous Delivery enables building, testing and deploying of software through build pipelines with well-defined quality gates. In this session, we will discuss how to build such a pipeline with the help of Gradle and Jenkins. With Jenkins as the centerpiece of our build pipeline, we will model our way from build to deployment. We will start by introducing an examplary application and learn how to build it with Gradle. Step by step, we will touch on topics like automating unit, integration and functional tests, incorporating popular code quality tools, as well as packaging, publishing and deploying the deliverable.

This Week in Spring - February 10th, 2015

Engineering | Josh Long | February 10, 2015 | ...

Welcome to another installment of This Week in Spring!

If you're in the bay area this week, I'll be speaking at the Netflix OSS meetup in Los Altos talking about Spring Cloud on Wednesday and at Pivotal San Francisco's Open-Source Hub on the amazing Spring Session project on Thursday. I hope you'll join me for either or both! It's sure to be fun!

As usual, we've got a lot to cover, so let's get to it!

  1. My pal (and Spring Boot co-founder!) Phil Webb and I gave the introduction to Spring Boot lesson at SpringOne2GX 2014 - check it out! Hopefully you'll have as much fun as we did! :)
  2. DZone have published two nice Developers of the Week profiles, one for the good Dr. Dave Syer and one for Spring Batch lead Michael Minella
  3. Adib Saikali put together a really nice article on InfoQ introducing the ways that Java 8 and Spring 4 win.
  4. Readers of this roundup will know that I love me some JHipster, and so I am super excited to have JHipster founder Julien Dubois

Introducing JHipster

Engineering | Josh Long | February 09, 2015 | ...

This post is a guest post by community member Julien Dubois (@juliendubois), a former SpringSource employee who now works for Ippon Technologies and is creator of the JHipster project. Thanks Julien! I'd like to see more of these guest posts, so - as usual - don't hesitate to ping me (@starbuxman)! -Josh


the JHipster

Introduction

JHipster, or "Java Hipster," is a handy application generator that will create for you a Spring Boot (that's the Java part) and AngularJS (that's the hipster part) application.

In a very short amount of time, JHipster has became very popular on Github, and it has been featured on online magazines - like InfoQ, Infoworld or SD Times - and in conferences all over the world - Paris, London, Montreal…

SpringOne2GX 2014 Replay: RESTful Grails 2

News | Pieter Humphrey | February 09, 2015 | ...

Recorded at SpringOne2GX 2014.

Speaker: Jeff Scott Brown

Essential Grails Track

Slides: http://www.slideshare.net/SpringCentral/res-tful-grails2

Grails 2 includes a lot of features and functionality related to building RESTful services. These include an entirely new and more flexibile data binding system, runtime and compile time metaprogramming which greatly reduce the amount of code required in your RESTful services, a rich set of content negotiation tools and more.

SpringOne2GX 2014 Replay: Scalable Big Data stream processing with Storm and Groovy

News | Pieter Humphrey | February 09, 2015 | ...

Speaker: Eugene Dvorkin

More Groovy Track

Slides: http://www.slideshare.net/SpringCentral/storm-twtterwebmd

With advances in distributed computing and creation of frameworks like Storm and Spark, building real-time, fault-tolerant, and scalable solutions to process huge volume of data in real-time has become easy. Storm is one of the most popular framework to develop real-time analytics and event processing applications. Storm enables to tackle real-time Big Data challenges the same way Hadoop enables batch processing of Big Data. One of the use cases of Storm is processing feeds from social networks in real-time. Social networks like Twitter, Facebook, LinkedIn, Google+ became part of our life. By analyzing social networks, companies can process important information about their product, services, and provide real-time information to customers. In this talk, Eugene will provide introduction to Storm framework, explain how to build real-time applications on top of Storm with Groovy, how to process data from Twitter in real-time and architectural decision behind WebMD MedPulse mobile application.

SpringOne2GX 2014 Replay: Testing Java, Groovy, Spring and Web Applications with Spock

News | Pieter Humphrey | February 09, 2015 | ...

Recorded at SpringOne2GX 2014.

Speaker: Peter Niederwieser

More Groovy Track

Slides: http://www.slideshare.net/SpringCentral/testing-java-groovy-spring-and-web-applications-with-spock

Spock is a popular testing framework (mainly) for Java and Groovy applications. After a short introduction, I will discuss Spock's Java and Groovy specific features, will show how Spock can be used for integration testing of Spring applications, and how combining it with Geb yields a powerful solution for acceptance testing of web applications. Finally, I will demonstrate how Spock can be extended to build out the test infrastructure for your project, and will showcase the latest features planned for the mythical Spock 1.0 release.

Spring for Apache Hadoop 2.1 Released

Releases | Thomas Risberg | February 09, 2015 | ...

It was about six months ago that we started work on the 2.1 version of Spring for Apache Hadoop. We are now pleased to announce the general availability of version 2.1.0.

Beginning with the Spring for Apache Hadoop 2.1 version, we now only support Hadoop 2.0 APIs and no longer provide backwards compatibility with older Hadoop v1 distributions. If you need support for older Hadoop versions please use the 2.0.4 or 1.1.0 versions of Spring for Apache Hadoop.

The main new features for the 2.1 version are:

Configuration and Boot support:

  • New @Configuration changes and improvements to the Boot auto configuration features. A good example of this support can be seen in the boot-fsshell DemoApplication example app

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