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Microservices with Spring Boot 3 and Spring Cloud, Third Edition

You're reading from   Microservices with Spring Boot 3 and Spring Cloud, Third Edition Build resilient and scalable microservices using Spring Cloud, Istio, and Kubernetes

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Product type Paperback
Published in Aug 2023
Publisher Packt
ISBN-13 9781805128694
Length 706 pages
Edition 3rd Edition
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Author (1):
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Magnus Larsson AB Magnus Larsson AB
Author Profile Icon Magnus Larsson AB
Magnus Larsson AB
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Table of Contents (26) Chapters Close

Preface 1. Introduction to Microservices 2. Introduction to Spring Boot FREE CHAPTER 3. Creating a Set of Cooperating Microservices 4. Deploying Our Microservices Using Docker 5. Adding an API Description Using OpenAPI 6. Adding Persistence 7. Developing Reactive Microservices 8. Introduction to Spring Cloud 9. Adding Service Discovery Using Netflix Eureka 10. Using Spring Cloud Gateway to Hide Microservices behind an Edge Server 11. Securing Access to APIs 12. Centralized Configuration 13. Improving Resilience Using Resilience4j 14. Understanding Distributed Tracing 15. Introduction to Kubernetes 16. Deploying Our Microservices to Kubernetes 17. Implementing Kubernetes Features to Simplify the System Landscape 18. Using a Service Mesh to Improve Observability and Management 19. Centralized Logging with the EFK Stack 20. Monitoring Microservices 21. Installation Instructions for macOS 22. Installation Instructions for Microsoft Windows with WSL 2 and Ubuntu 23. Native-Complied Java Microservices 24. Other Books You May Enjoy
25. Index

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 of a number of runtime components. The most important components are as follows:

  • There are components that run on master nodes, constituting the control plane:
    • The 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 database. Whenever the desired or current state changes, a controller that&...
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