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You're reading from Mastering Microservices with Java Build enterprise microservices with Spring Boot 2.0, Spring Cloud, and Angular

Product type Paperback

Published in Feb 2019

Publisher Packt

ISBN-13 9781789530728

Length 446 pages

Edition 3rd Edition

Languages

Java

Tools

Angular

Concepts

Microservices

Author (1):

Sourabh Sharma

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Table of Contents (22) Chapters

Preface

1. Section 1: Fundamentals FREE CHAPTER

2. A Solution Approach

3. Environment Setup

4. Domain-Driven Design

5. Implementing a Microservice

6. Section 2: Microservice Patterns, Security, and UI

7. Microservice Patterns - Part 1

8. Microservice Patterns - Part 2

9. Securing Microservices

10. Consuming Services Using the Angular App

11. Section 3: Inter-Process Communication

12. Inter-Process Communication Using REST

13. Inter-Process Communication Using gRPC

14. Inter-Process Communication Using Events

15. Section 4: Common Problems and Best Practices

16. Transaction Management

17. Service Orchestration

18. Troubleshooting Guide

19. Best Practices and Common Principles

20. Converting a Monolithic App to a Microservice-Based App

21. Other Books You May Enjoy

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The fundamentals of DDD

The fundamentals of DDD can broadly be categorized into two parts—building blocks, and strategic design and principles. These can be further categorized into different parts, shown as follows:

Building blocks:
- Ubiquitous language and Unified Model Language (UML)
- Multilayered architecture
- Artifacts (components)
Strategic design and principles:
- Bounded context
- Continuous integration
- Context map

Building blocks

The following subsections explain the usage and importance of the building blocks of DDD.

Ubiquitous language

Ubiquitous language...

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Authors (1)

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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