Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By : Magnus Larsson
Book Image

Hands-On Microservices with Spring Boot and Spring Cloud

By: Magnus Larsson

Overview of this book

Microservices architecture allows developers to build and maintain applications with ease, and enterprises are rapidly adopting it to build software using Spring Boot as their default framework. With this book, you’ll learn how to efficiently build and deploy microservices using Spring Boot. This microservices book will take you through tried and tested approaches to building distributed systems and implementing microservices architecture in your organization. Starting with a set of simple cooperating microservices developed using Spring Boot, you’ll learn how you can add functionalities such as persistence, make your microservices reactive, and describe their APIs using Swagger/OpenAPI. As you advance, you’ll understand how to add different services from Spring Cloud to your microservice system. The book also demonstrates how to deploy your microservices using Kubernetes and manage them with Istio for improved security and traffic management. Finally, you’ll explore centralized log management using the EFK stack and monitor microservices using Prometheus and Grafana. By the end of this book, you’ll be able to build microservices that are scalable and robust using Spring Boot and Spring Cloud.
Table of Contents (26 chapters)
Title Page

Introduction to Docker

As we already mentioned in Chapter 2, Introduction to Spring Boot, Docker made the concept of containers as a lightweight alternative to virtual machines very popular in 2013. Containers are actually processed in a Linux host that uses Linux namespaces to provide isolation between containers of global system resources, such as users, processes, filesystems, and networking. Linux Control Groups (also knows as cgroups) are used to limit the amount of CPU and memory that a container is allowed to consume. Compared to a virtual machine that uses a hypervisor to run a complete copy of an operating system in each virtual machine, the overhead in a container is a fraction of the overhead in a virtual machine. This leads to much faster startup times and significantly lower overhead in terms of CPU and memory usage. The isolation that's provided for a container...