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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

Container orchestration


Container orchestration tools provide a layer of abstraction for developers and infrastructure teams to deal with large-scale containerized deployments. The features offered by the container orchestration tools vary between providers. However, common denominators are provision, discovery, resource management, monitoring, and deployments.

Why is container orchestration is important

Since microservices break applications into different micro applications, many developers request more server nodes for deployment. In order to manage microservices properly, developers tend to deploy one microservice per VM, which further drives down the resource utilization. In many cases, this results in over-allocation of CPUs and memory.

In many deployments, the high availability requirements of microservices force engineers to add more and more service instances for redundancy. In reality, although it provides the required high availability, this will result in under-utilized server instances...

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