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)
Section 1: Core Concepts and Basics
Section 2: Microservices Development
Section 3: Microservices Testing
Section 4: Microservices Deployment
Section 5: Microservices Maintenance
Section 6: IoT with Micronaut and Closure

Integrating with a NoSQL database (MongoDB)

MongoDB is a document-based database and it stores the data in JSON or BSON format. Data is stored in key-value pairs, similar to a JSON object. MongoDB is engineered in a scale-out fashion and it is recommended to use it when the volume and structure of data are agile and growing very rapidly. There are a few key terms in contrast to a relational database:

  • Database: A database in MongoDB is much similar to a database in a relational database.
  • Table: A collection (of documents) is much similar to a table in a relational database.
  • Row: A BSON or JSON document will be a close analogy to a row in a relational database.

In order to do hands-on work, we will continue with the pet-clinic application and add a new microservice, that is, pet-clinic-reviews. This microservice will be responsible for managing vet reviews. As reviews could grow rapidly and a schema to store a review could change, we will prefer to store this data...