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 runtime components

A Kubernetes cluster contains two types of nodes: master nodes and worker nodes. Master nodes manage the cluster, while the main purpose of worker nodes is to run the actual workload, for example, the containers we deploy in the cluster. Kubernetes is built up by a number of runtime components. The most important components are as follows:

  • There are components that run on master nodes, constituting the control plane:
    • api-server, the entry point to the control plane. This exposes a RESTful API, which, for example, the Kubernetes CLI tool known as kubectl uses.
    • etcd, a highly available and distributed key/value store, used as a database for all cluster data.
    • A controller manager, which contains a number of controllers that continuously evaluate the desired state versus the current state for the objects defined in the etcd...