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.
Application security is not a concern that we can ignore. Vulnerabilities come from various angles, but it is important to stay aware and vigilant so we can recognize and thwart threats.
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
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…
Learn Grails from basic principles to advanced concepts by building a small, but interesting, application. Learn Grails from basic principles to advanced concepts by building a small, but interesting, application.
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.
In this talk, Grails project lead Graeme Rocher will present a preview of the much anticipating version 3.0 rewrite of the Grails framework including presentation of the goals behind the changes and what will be achievable with the new version.
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.
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.