Kotlin stdlib

Make your life easier with Kotlin stdlib

IMHO, Kotlin is not about big killer features - although extension methods and properties could certainly be categorized as such, but about a bunch of small improvements that have deep impact. Most of them are not built-in into the language, but are functions offered as part of the Kotlin standard library. In this post, I’d like to go through a limited set of them, and describe how they can be used to improve the code.

Spring configuration Groovy Kotlin XML annotations

Flavors of Spring application context configuration

Every now and then, there’s an angry post or comment bitching about how the Spring framework is full of XML, how terrible and verbose it is, and how the author would never use it because of that. Of course, that is completely crap. First, when Spring was created, XML was pretty hot. J2EE deployment descriptors (yes, that was the name at the time) was XML-based. Anyway, it’s 2017 folks, and there are multiple ways to skin

code quality SonarQube Kotlin plugin ANTLR

A SonarQube plugin for Kotlin - Paving the way

Since I started my journey into Kotlin, I wanted to use the same libraries and tools I use in Java. For libraries - Spring Boot, Mockito, etc., it’s straightforward as Kotlin is 100% interoperable with Java. For tools, well, it depends. For example, Jenkins works flawlessly, while SonarQube lacks a dedicated plugin. The SonarSource team has limited resources: Kotlin, though on the rise - and even more so since Google I/O 17, is not in their pipe. This post serie i

microservice Spring Framework Spring Cloud Kotlin HTTP monitoring Sleuth

HTTP headers forwarding in microservices

Microservices are not a trend anymore. Like it or not, they are here to stay. Yet, there’s a huge gap before embracing the microservice architecture and implementing them right. As a reminder, one might first want to check the many fallacies of distributed computed. Among all requirements necessary to overcome them is the ability to follow one HTTP request