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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

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Product type Course
Published in Dec 2018
Publisher Packt
ISBN-13 9781789955644
Length 502 pages
Edition 1st Edition
Languages
Tools
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Authors (2):
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Rajesh R V Rajesh R V
Author Profile Icon Rajesh R V
Rajesh R V
Dinesh Rajput Dinesh Rajput
Author Profile Icon Dinesh Rajput
Dinesh Rajput
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Toc

Table of Contents (22) Chapters Close

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 1. Other Books You May Enjoy Index

Summary


An application without data is like a car without fuel. Data is the heart of an application. Some applications may exist in the world without data, but these applications are simply showcase applications such as static blogs. Data is an important part of an application, and you need to develop data-access code for your application. This code should very simple, robust, and customizable.

In a traditional Java application, you could use JDBC to access the data. It is a very basic way, but sometimes, it is very messy to define specifications, handle JDBC exceptions, make database connections, load drivers, and so on. Spring simplifies these things by removing the boilerplate code and simplifying JDBC exception handling. You just write your SQL that should be executed in the application, and the rest is managed by the Spring framework.

In this chapter, you have seen how Spring provides support at the backend for data access and data persistence. JDBC is useful, but using the JDBC API directly...

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