Book Image

Building Microservices with Micronaut®

By : Nirmal Singh, Zack Dawood
Book Image

Building Microservices with Micronaut®

By: Nirmal Singh, Zack Dawood

Overview of this book

The open source Micronaut® framework is a JVM-based toolkit designed to create microservices quickly and easily. This book will help full-stack and Java developers build modular, high-performing, and reactive microservice-based apps using the Micronaut framework. You'll start by building microservices and learning about the core components, such as ahead-of-time compilation, reflection-less dependency injection, and reactive baked-in HTTP clients and servers. Next, you will work on a real-time microservice application and learn how to integrate Micronaut projects with different kinds of relational and non-relational databases. You'll also learn how to employ different security mechanisms to safeguard your microservices and integrate microservices using event-driven architecture in the Apache Kafka ecosystem. As you advance, you'll get to grips with automated testing and popular testing tools. The book will help you understand how you can easily handle microservice concerns in Micronaut projects, such as service discovery, API documentation, distributed configuration management, fallbacks, and circuit breakers. Finally, you'll explore the deployment and maintenance aspects of microservices and get up to speed with the Internet of Things (IoT) using the Framework. By the end of this book, you'll be able to build, test, deploy, and maintain your own microservice apps using the framework.
Table of Contents (20 chapters)
1
Section 1: Core Concepts and Basics
3
Section 2: Microservices Development
8
Section 3: Microservices Testing
10
Section 4: Microservices Deployment
13
Section 5: Microservices Maintenance
15
Section 6: IoT with Micronaut and Closure

Chapter 6: Testing Microservices

In a rather simple definition, software testing is verifying that a produced software application is functioning as expected. Since the early days of programming languages and software development, good precedents have been set to ensure they are functioning as expected. Almost all programming languages (barring some scripting languages) have robust compilers to catch anomalies at compile time. Though compile-time checks are good to start with, they can't verify whether a software application will run just as expected at runtime. For peace of mind, software development teams perform various kinds of testing to verify that a software application will function as expected. And any testing exercise will increase manifold with an increase in the number of distributed components or, put simply, it's rather more easy to test a monolithic application than a distributed one. To save time and decrease the turnaround time to deliver a feature, it&apos...