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

Introducing Kubernetes API objects

Kubernetes defines an API that is used to manage different types of objects or resources, as they are also known as. Some of the most commonly used types, or kindsas they are referred to in the API, are as follows in my experience:

  • Node: A node represents a server, virtual or physical, in the cluster.
  • Pod: A pod represents the smallest possible deployable component in Kubernetes, consisting of one or more co-located containers. Typically, a pod consists of one container, but there are use cases for extending the functionality of the main container by running the second container in a pod. In Chapter 18, Using a Service Mesh to Improve Observability and Management, a second container will be used in the pods, running a sidecar that makes the main container join the service...