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

Distributed monitoring in Micronaut microservices

Monitoring is simply recording the key performance metrics to enhance visibility into the application state. By recording and surfacing the system performance metrics such as CPU usage, thread pools, memory usage, and database connections for all the distributed components, it can provide a holistic picture of how a microservice system is performing at a given point in time. The distributed nature of microservices requires a shift in how the system is monitored. Instead of relying on the host environment monitoring tools, we need a unified monitoring solution that can combine performance metrics from various services and present a one-stop interface. In this section, we will explore how to implement such a distributed monitoring solution for the pet-clinic application.

To implement distributed monitoring, we will use a very popular stack of Prometheus and Grafana. Let's look at our system components for distributed monitoring...