Java has finally shipped with modules! You’ve attended presentations and read articles about Java 9 modules, but how do you actually go about modularizing an application? This session will present a practical example in which an application is modularized. Application architecture, dependencies, and tooling will be covered. Hopefully this will give you a better idea of what is involved in modularizing an application and the benefits it provides.

Contexts and Dependency was introduced in Java EE 6 and has since become a core technology. This lab will cover the basic features of CDI 1 and 2. Everything from injection and scopes to decorators, transactions, concurrency, and testing will be covered.

Memory leaks are not always simple or easy to find. Heap dumps from production systems are often gigantic (4+ gigs) with millions of objects in memory. Simple spot checking with traditional tools is woefully inadequate in these situations, especially with real data. Leaks can be entire object graphs with enormous amounts of noise. This session will show you how to build custom tools using the Apache NetBeans Profiler/Heapwalker APIs. Using these APIs, you can read and analyze Java heaps programmatically to ask really hard questions. This gives you the power to analyze complex object graphs with tens of thousands of objects in seconds.

Discuss the future of Jakarta EE with the main people behind it!

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JNoSQL is a framework and collection of tools that make integration between Java applications and NoSQL quick and easy — for developers as well as vendors. The API is easy to implement, so NoSQL vendors can quickly implement, test, and become compliant by themselves. And with its low learning curve and just a minimal set of artifacts, Java developers can start coding by worrying not about the complexity of specific NoSQL databases but only their core aspects (such as graph or document properties). Built with functional programming in mind, it leverages all the features of Java 8. This session covers how the API is structured, how it relates to the multiple NoSQL database types, and how you can get started and involved in this open source technology.

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With traditional software unit tests, there’s never a guarantee that an application will actually function correctly in the production environment. And when you add microservices, remote resources that are accessible over a network, into the mix, testing is more tricky. To make things even harder, microservices typically need to collaborate with additional network-based microservices, making testing even more challenging. Moving to microservices implies a change in the mindset of developers, so will using old testing techniques with new architectures still work?

In this session, you’ll learn test strategies that solve the most common issues likely to be encountered when writing tests for a microservices architecture. We will look at how tools such as Arquillian, JUnit, Docker and techniques such as service virtualization, consumer-driven testing and testing in production with Istio can aid in accomplishing this task.

Create you very first Helidon-SE and Helidon-MP microservice!

Come learn about developing microservices using Helidon. Helidon is an open source project led by Oracle. Helidon contains a collection of Java libraries for building microservices. In this session we will talk about two programming models supported by Helidon: lightweight, functional model using JDK as runtime for those wanting less “magic” and Microprofile for those wanting inversion of control and familiar Java EE APIs. We will show how to quickly create your first Helidon application which uses both programming models.

Data is the new gold. Security problems and data leaks are getting more and more attention in the media. Privacy and integrity of your clients (personal) data is more than a hot topic. Are you as a developer prepared?! On the other hand, you could be part of the problem as well. So, how secure are you and how secure is your work.

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In Java 8 functional style programming was introduced in Java. Java 9 extended this with some nice new features. For many people it is hard to grasp the idea of functional style programming after so many years of purely working in the imperative OOP style. The opportunities Java gives us out of the box are massive, but with great power comes great responsibility.

Brian points out common mistakes that are made when integrating functional style programming in your every day Java project and how to prevent this. This way you can write better, cleaner and more readable code. But even more important, you will be able to utilize the functional code constructions in Java 9 to it’s full potential… and maybe, you even start to like it.

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