The concurrent programming model in the Java language has changed significantly in the past years. From “green threads” to native thread support, from synchronized, blocking operations to asynchronous, non-blocking, from mutable objects to immutable shared state.
JHipster is an open source project created to speed up the development and deployment of web applications. Supported by almost 600 contributors - it’s a great tool to produce any kind of Proof of Concept, CRUD as well as production ready services in a modern and rapid way. If this kind of functionality isn’t what you are looking for - it still can be used to learn some of the best development patterns by analyzing the generated source code.
Docker has kept its popularity for quite a few years now (without surprise). Its success is based on many things like scalling, microservices and also its network solutions (and many more). In this article I'll focus solely on docker networks and how they work.
If you haven’t had a chance to do it yet - have a look at my Introduction to Terraform article, where you will learn how to set up the Google Cloud project and configure Terraform on your local machine to be able to play with some resources.
Automatic music generation is a topic that dates back to 50s, but only recently has AI generated music become advanced enough to let us believe that it has a potential to become indistinguishable from human creations in the near future.
The goal of this tutorial is to introduce you to tools so you can explore the technology on your own. We will briefly touch every tool, but diving deep into particular one is not in the scope of this article.
Testing end to end of complex systems is often complicated by stability problems. Testers are involved in the development process from the very beginning when a majority of endpoints are not yet implemented. Also for some reasons we might have a limited access to particular microservices.