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Building Microservices with Spring

You're reading from Building Microservices with Spring Master design patterns of the Spring framework to build smart, efficient microservices

Product type Course

Published in Dec 2018

Publisher Packt

ISBN-13 9781789955644

Length 502 pages

Edition 1st Edition

Languages

Java

Tools

Spring

Concepts

Design Patterns

Authors (2):

Rajesh R V

Dinesh Rajput

View More author details

Table of Contents (22) Chapters

Title Page

Copyright

About Packt

Contributors

Preface

1. Getting Started with Spring Framework 5.0 and Design Patterns FREE CHAPTER

2. Overview of GOF Design Patterns - Core Design Patterns

3. Wiring Beans using the Dependency Injection Pattern

4. Spring Aspect Oriented Programming with Proxy and Decorator pattern

5. Accessing a Database with Spring and JDBC Template Patterns

6. Improving Application Performance Using Caching Patterns

7. Implementing Reactive Design Patterns

8. Implementing Concurrency Patterns

9. Demystifying Microservices

10. Related Architecture Styles and Use Cases

11. Building Microservices with Spring Boot

12. Scale Microservices with Spring Cloud Components

13. Logging and Monitoring Microservices

14. Containerizing Microservices with Docker

15. Scaling Dockerized Microservices with Mesos and Marathon

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Index

Lambda architecture

There are new styles of microservices use cases in the context of big data, cognitive computing, bots, and IoT:

The preceding diagram shows a simplified Lambda architecture commonly used in the context of big data, cognitive, and IoTs. As you can see in the diagram, microservices play a critical role in the architecture. The batch layer process data, and store typically in a Hadoop Distributed File System (HDFS) file system. Microservices are written on top of this batch layer process data and build serving layer. Since microservices are independent, when they encounter new demands, it is easy to add those implementations as microservices.

Speed-layer microservices are primarily reactive microservices for stream processing. These microservices accept a stream of data, apply logic, and then respond with another set of events. Similarly, microservices are also used for exposing data services on top of the serving layer.

The following are different variations of the preceding...

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Authors (2)

Dinesh Rajput

Dinesh Rajput

Dinesh Rajput is a founder of Dineshonjava (dot) com, a blog for Spring and Java techies. He is a Spring enthusiast and a Pivotal Certified Spring Professional. He has written two bestselling books, Spring 5 Design Patterns and Mastering Spring Boot 2.0. Mastering Spring Boot 2.0 is the Amazon #1 best-selling book on Java. He has more than 10 years of experience with various aspects of Spring and cloud-native development, such as REST APIs and microservice architecture. He is currently working as an architect at a leading company. He has worked as a tech lead at Bennett, Coleman & Co. Ltd, and Paytm. He has a master's degree in computer engineering from JSS Academy of Technical Education, Noida, and lives in Noida with his family.

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Rajesh R V

Rajesh R V

Rajesh R V is a seasoned IT architect with over 20 years of extensive experience in various technologies. As the head of architecture at the Emirates Group, Rajesh has helped the company transform, reshape, and re-organize into a high-performing organization by adopting SAFe and Agile architecture practices. Rajesh has a deep passion for technology and architecture. He also architected the Open Travel Platform (OTP) that earned the Emirates Group the prestigious 2011 Red Hat Innovation Award. He previously wrote the best-selling books, Spring Microservices and, Spring 5.0 Microservices, and reviewed Service-Oriented Java Business Integration by Packt.

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