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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

Understanding gaps in the BrownField PSS microservices


In Chapter 12, Scale Microservices with Spring Cloud Components, the BrownField PSS microservices were developed using Spring Boot and Spring Cloud. Those microservices are deployed as versioned fat jar files on bare metals, specifically on a local development machine. In Chapter 13, Logging and Monitoring Microservices, challenges around logging and monitoring were addressed using centralized logging and monitoring solutions.

This is good enough for most implementations. However, there are still a few gaps in our BrownField PSS implementation. So far, the implementation has not used any cloud infrastructure. Dedicated machines, as in the traditional monolithic application deployments, are not the best solution for deploying microservices. Automation such as automatic provisioning, the ability to scale on demand, self service, and payment based on usage are essential capabilities required to manage large-scale microservice deployments...

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