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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
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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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Table of Contents (22) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Getting Started with Spring Framework 5.0 and Design Patterns 2. Overview of GOF Design Patterns - Core Design Patterns FREE CHAPTER 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

What is cache?


In very simple terms, cache is a memory block where we store preprocessed information for the application. In this context, a key-value storage, such as a map, may be a cache in the application. In Spring, cache is an interface to abstract and represent caching. A cache interface provides some methods for placing objects into a cache storage, it can retrieve from the cache storage for given key, it can update the object in the cache storage for a given key, it remove the object from the cache storage for a given key. This cache interface provides many functions to operate with cache.

Where do we use caching?

We use caching in cases where a method always returns the same result for the same argument(s). This method could do anything such as calculate data on the fly, execute a database query, and request data via RMI, JMS, and a web-service, and so on. A unique key must be generated from the arguments. That's the cache key.

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