Book Image

Building Microservices with Spring

By : Dinesh Rajput, Rajesh R V
Book Image

Building Microservices with Spring

By: Dinesh Rajput, Rajesh R V

Overview of this book

Getting Started with Spring Microservices begins with an overview of the Spring Framework 5.0, its design patterns, and its guidelines that enable you to implement responsive microservices at scale. You will learn how to use GoF patterns in application design. You will understand the dependency injection pattern, which is the main principle behind the decoupling process of the Spring Framework and makes it easier to manage your code. Then, you will learn how to use proxy patterns in aspect-oriented programming and remoting. Moving on, you will understand the JDBC template patterns and their use in abstracting database access. After understanding the basics, you will move on to more advanced topics, such as reactive streams and concurrency. Written to the latest specifications of Spring that focuses on Reactive Programming, the Learning Path teaches you how to build modern, internet-scale Java applications in no time. Next, you will understand how Spring Boot is used to deploying serverless autonomous services by removing the need to have a heavyweight application server. You’ll also explore ways to deploy your microservices to Docker and managing them with Mesos. By the end of this Learning Path, you will have the clarity and confidence for implementing microservices using Spring Framework. This Learning Path includes content from the following Packt products: • Spring 5 Microservices by Rajesh R V • Spring 5 Design Patterns by Dinesh Rajput
Table of Contents (22 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
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...