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

Lambda architecture


There are new styles of microservices use cases in the context of big data, cognitive computing, bots, and IoT:

The preceding diagram shows a simplified Lambda architecture commonly used in the context of big data, cognitive, and IoTs. As you can see in the diagram, microservices play a critical role in the architecture. The batch layer process data, and store typically in a Hadoop Distributed File System (HDFS) file system. Microservices are written on top of this batch layer process data and build serving layer. Since microservices are independent, when they encounter new demands, it is easy to add those implementations as microservices.

Speed-layer microservices are primarily reactive microservices for stream processing. These microservices accept a stream of data, apply logic, and then respond with another set of events. Similarly, microservices are also used for exposing data services on top of the serving layer.

The following are different variations of the preceding...