Spring has been around since the release of “J2EE Design and Development” in 2002. Spring and Java have evolved quite a bit since that time. In those years a lot of applications have been developed. All those "legacy" applications that are around have proven their value and that is why they lasted. In this session we will explore how we can improve our legacy applications by doing some refactoring or redesign (component based development) but also by introducing (newer) Spring IO technologies.
In the recent years, drastic increases in data volume as well as a greater demand for low latency have led to a radical shift in business requirements and application development methods. In response to these demands, frameworks such as RxJava and high throughput messaging systems such as Kafka have emerged as key building blocks. However, integrating technologies is never easy and Spring XD provides a solution. Through its development model and runtime, Spring XD makes it easy to develop highly scalable data pipelines, and lets you focus on writing and testing business logic vs. integrating and scaling a big data stack. Come and see how easy this can be in this webinar, where we will demonstrate how to build highly scalable data pipelines with RxJava and Kafka, using Spring XD as a platform. In the recent years, drastic increases in data volume as well as a greater demand for low latency have led to a radical shift in business requirements and application development methods. In response to these demands, frameworks such as RxJava and high throughput messaging systems such as Kafka have emerged as key building blocks. However, integrating technologies is never easy and Spring XD provides a solution. Through its development model and runtime, Spring XD makes it easy to develop highly scalable data pipelines, and lets you focus on writing and testing business logic vs. integrating and scaling a big data stack. Come and see how easy this can be in this webinar, where we will demonstrate how to build highly scalable data pipelines with RxJava and Kafka, using Spring XD as a platform.
Learn more about Spring XD at http://projects.spring.io/spring-xd
Maintaining Grails plugins can be a real challenge given the high expectations and demands. Apart from supporting many users, you're tasked with making sure that the plugin is compatible with a range of Grails versions - both old and new. Your plugin must also be compatible with multiple development environments (OSs, SDKs, etc,) and play nice with the wealth of other plugins that exist in the ecosystem. How can we make sure that all these high standards are met? Testing, and lot's of it!
If a book as horrible as Twilight can sell millions of copies and be made into an even worse movie, how many copies can a book with Groovy vampires sell? (Spoiler: Not as many.) Yes, this topic may be silly, but the technologies used (Groovy, Ratpack, MongoDB, Grails, REST) are (un)deadly serious.
Software development is hard. Life is hard. We try to keep up with a changing world, and it's hard. Where though, does the problem lie? In this talk, David, CEO at Simplicity Itself, will describe a different way of approaching the problem of software development, a different way of trying to keep up with a changing world. This is not a soft talk, all opinions are backed up by cold hard code in a running Grails application, showing how a change in the way you think can radically change your software.
Speakers: Baruch Sadogursky, Frederic Simon - JFrog
Core Groovy Track
Slides: none all demo
You probably know how to use AST transformations. You might although think that writing your own AST transformations is something complicated, and takes deep knowledge of academical compliers, abstract syntax tree and other neat stuff.
We are convinced that Gradle is already the best available enterprise build system. Yet we are far from done. We have finally the R&D bandwidth to deeply improve Gradle in the areas where it lacks. We also have the bandwidth to contribute some fundamental innovation to the domain of build and continuous delivery. All this will bring Gradle much closer to our vision of Gradle being the ultimate build system. We start by giving an overview of where Gradle is currently in the build system market when it comes to features and adoption. We will then talk about the next generation multi-platform dependency management. A dependency management that can fully capture the requirements of Android, JavaScript and the native domain as well as to improve the dependency management for the Java world. We will talk about how Gradle will dramatically improve the performance by introducing global caches and other optimizations. Finally we will talk about the new Gradle extendability model and its upcoming native and Javascript support.
See how this server-side guy fell in love with client-side application development when he discovered that his years of Grails experience already taught him how to be a great JavaScript developer. We'll explore how advanced architectural libraries, such as cujoJS and RaveJS, provide parallels to many of the concepts you love in Grails.
API abstraction is the separation of cross cutting concerns related to the api to better enable externalization to architectural concerns. Not only does this enable easier externalization, synchronization and sharing of the environment with external architecture but this also enables us to reload the api configuration on the fly, have DRY'r code, easier batching, api chaining, reduced code, synchronized configuration/security, reduced throughput and much more.
Spring Cloud 1.0 is here! It offers a powerful way to create and consume microservices. As you introduce new services, you introduce integration problems: services can be shaky, they can disappear and - as they're often exposed over HTTP - they require a bit more footwork than in-process method invocations. In this webinar, we'll focus specifically on how Spring Cloud integrates service registration (e.g.: Eureka, Consul, or Zookeeper), declarative REST clients (with Netflix's Feign), reactive programming and the circuit breaker pattern with Hystrix to support easy, robust service-to-service invocations.
