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Modern API Development with Spring and Spring Boot

You're reading from Modern API Development with Spring and Spring Boot Design highly scalable and maintainable APIs with REST, gRPC, GraphQL, and the reactive paradigm

Product type Paperback

Published in Jun 2021

Publisher Packt

ISBN-13 9781800562479

Length 582 pages

Edition 1st Edition

Languages

Java

Tools

GraphQL

Concepts

Design

Author (1):

Sourabh Sharma

View More author details

Table of Contents (21) Chapters

Preface

1. Section 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. Section 2: Security, UI, Testing, and Deployment

8. Chapter 6: Security (Authorization and Authentication)

9. Chapter 7: Designing a User Interface

10. Chapter 8: Testing APIs

11. Chapter 9: Deployment of Web Services

12. Section 3: gRPC, Logging, and Monitoring

13. Chapter 10: gRPC Fundamentals

14. Chapter 11: gRPC-based API Development and Testing

15. Chapter 12: Logging and Tracing

16. Section 4: GraphQL

17. Chapter 13: GraphQL Fundamentals

18. Chapter 14: GraphQL API Development and Testing

19. Assessments

20. Other Books You May Enjoy

Chapter 8: Testing APIs

In this chapter, we will learn about how to manually and automatically test APIs. First, you will learn about automating unit and integration tests. After learning about these forms of automation, you will be able to make both types of testing an integral part of any build. You will also learn how to set up the Java Code Coverage tool to calculate different code coverage metrics.

In this chapter, we will cover the following topics:

Manual testing
Integration testing automation

This chapter will help you learn about test automation by showing you how to implement unit and integration test automation. You will also learn how to set up code coverage using the Java Code Coverage (JaCoCo) tool.

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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