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

Future of containerization


Containerization is still evolving, but the number of organizations adopting containerization techniques has gone up in recent times. In addition to Docker, Microsoft has already invested in Windows containers. While many organizations are aggressively adopting Docker and other container technologies, the downside of these techniques are still the size of the containers and security concerns. Container portability and standardization is another challenge.

Currently, the Docker images are, in general, heavy. In an elastic-automated environment, where containers are created and destroyed quite frequently, size is still an issue. A larger size indicates more code, and more code means they are more prone for security vulnerabilities.

The future is definitely in small-footprint containers. Docker is working on unikernels, a lightweight kernel or cloud operating system that can run Docker even on low-powered IoT devices. Unikernels are not full-fledged operating systems...