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Modern API Development with Spring 6 and Spring Boot 3

You're reading from Modern API Development with Spring 6 and Spring Boot 3 Design scalable, viable, and reactive APIs with REST, gRPC, and GraphQL using Java 17 and Spring Boot 3

Product type Paperback

Published in Sep 2023

Publisher Packt

ISBN-13 9781804613276

Length 494 pages

Edition 2nd Edition

Languages

Java

Tools

GraphQL

Concepts

Design

Author (1):

Sourabh Sharma

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1 – RESTful Web Services

2. Chapter 1: RESTful Web Service Fundamentals FREE CHAPTER

3. Chapter 2: Spring Concepts and REST APIs

4. Chapter 3: API Specifications and Implementation

5. Chapter 4: Writing Business Logic for APIs

6. Chapter 5: Asynchronous API Design

7. Part 2 – Security, UI, Testing, and Deployment

8. Chapter 6: Securing REST Endpoints Using Authorization and Authentication

9. Chapter 7: Designing a User Interface

10. Chapter 8: Testing APIs

11. Chapter 9: Deployment of Web Services

12. Part 3 – gRPC, Logging, and Monitoring

13. Chapter 10: Getting Started with gRPC

14. Chapter 11: gRPC API Development and Testing

15. Chapter 12: Adding Logging and Tracing to Services

16. Part 4 – GraphQL

17. Chapter 13: Getting Started with GraphQL

18. Chapter 14: GraphQL API Development and Testing

19. Index

Why subscribe?

20. Other Books You May Enjoy

Deployment of Web Services

In this chapter, you will learn about the fundamentals of containerization, Docker, and Kubernetes. You will then use these concepts to containerize a sample e-commerce app using Docker. This container will then be deployed aws a Kubernetes cluster. You will use Minikube for Kubernetes, which makes learning and Kubernetes-based development easier.

After completing this chapter, you will be able to perform containerization and container deployment in a Kubernetes cluster.

In this chapter, you’ll explore the following topics:

Exploring the fundamentals of containerization
Building a Docker image
Deploying an application in Kubernetes

The rest of the chapter is locked

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Authors (1)

Sharma

Sharma

Tushar Sharma has a master's degree specializing in data science from the International Institute of Information Technology, Bangalore. He works as a data scientist with Intel. In his previous job he used to work as a research engineer for a financial consultancy firm. His work involves handling big data at scale generated by the massive infrastructure at Intel. He engineers and delivers end to end solutions on this data using the latest machine learning tools and frameworks. He is proficient in R, Python, Spark, and mathematical aspects of machine learning among other things. Tushar has a keen interest in everything related to technology. He likes to read a wide array of books ranging from history to philosophy and beyond. He is a running enthusiast and likes to play badminton and tennis.

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