I have already described how to build microservices architecture entirely based on message-driven communication through Apache Kafka in one of my previous articles Kafka In Microservices With Micronaut. As you can see in the article title the sample applications and integration with Kafka has been built on top of Micronaut Framework. I described some interesting features of Micronaut, that can be used for building message-driven microservices, but I specially didn’t write anything about testing. In this article I’m going to show you how to test your Kafka microservice using Micronaut Test core features (Component Tests), Testcontainers (Integration Tests) and Pact (Contract Tests).
When I have writing some articles comparing Spring and Micronaut frameworks recently, I have taken a note of many comments about lack of built-in ORM and data repositories support in Micronaut. Spring provides this feature for a long time through Spring Data project. The good news is that the Micronaut team is close to complete work on first version of their project with ORM support. The project called Micronaut Predator (short for Precomputed Data Repositories) is still under active development, and currently we may access just the snapshot version. However, the authors are introducing it is as more efficient with reduced memory consumption than competitive solutions like Spring Data or Grails GORM. In short, this could be achieved thanks to Ahead of Time (AoT) compilation to pre-compute queries for repository interfaces that are then executed by a thin, lightweight runtime layer, and avoiding usage of reflection or runtime proxies. Continue reading “JPA Data Access with Micronaut Predator”
This is the third part of my tutorial to Micronaut Framework. This time we will discuss the most interesting Micronaut security features. I have already described core mechanisms for IoC and dependency injection in the first part of my tutorial, and I have also created a guide to building simple REST server-side application in the second part. For more details you may refer to:
In this part of my tutorial to Micronaut framework we are going to create simple HTTP server-side application running on Netty. We have already discussed the most interesting core features of Micronaut like beans, scopes or unit testing in the first part of that tutorial. For more details you may refer to my article Micronaut Tutorial: Beans and Scopes.
Assuming we have a basic knowledge about core mechanisms of Micronaut we may proceed to the key part of that framework and discuss how to build simple microservice application exposing REST API over HTTP. Continue reading “Micronaut Tutorial: Server Application”
Micronaut is a relatively new JVM-based framework. It is especially designed for building modular, easy testable microservice applications. Micronaut is heavily inspired by Spring and Grails frameworks, which is not a surprise, if we consider it has been developed by the creators of Grails framework. It is based on Java’s annotation processing, IoC (Inversion of Control) and DI (Dependency Injection).
Micronaut implements the JSR-330 (
java.inject) specification for dependency injection. It supports constructor injection, field injection, JavaBean and method parameter injection. In this part of tutorial I’m going to give some tips on how to:
- define and register beans in the application context
- use built-in scopes
- inject configuration to your application
- automatically test your beans during application build with JUnit 5
Today we will compare two frameworks used for building microservices on the JVM: Spring Boot and Micronaut. First of them, Spring Boot is currently the most popular and opinionated framework in the JVM world. On the other side of the barrier is staying Micronaut, quickly gaining popularity framework especially designed for building serverless functions or low memory-footprint microservices. We will be comparing version 2.1.4 of Spring Boot with 1.0.0.RC1 of Micronaut. The comparison criteria are:
- memory usage (heap and non-heap)
- the size in MB of generated fat JAR file
- the application startup time
- the performance of application, in the meaning of average response time from the REST endpoint during sample load testing