Book Image

Hands-On Microservices with Kotlin

By : Juan Antonio Medina Iglesias
Book Image

Hands-On Microservices with Kotlin

By: Juan Antonio Medina Iglesias

Overview of this book

With Google's inclusion of first-class support for Kotlin in their Android ecosystem, Kotlin's future as a mainstream language is assured. Microservices help design scalable, easy-to-maintain web applications; Kotlin allows us to take advantage of modern idioms to simplify our development and create high-quality services. With 100% interoperability with the JVM, Kotlin makes working with existing Java code easier. Well-known Java systems such as Spring, Jackson, and Reactor have included Kotlin modules to exploit its language features. This book guides the reader in designing and implementing services, and producing production-ready, testable, lean code that's shorter and simpler than a traditional Java implementation. Reap the benefits of using the reactive paradigm and take advantage of non-blocking techniques to take your services to the next level in terms of industry standards. You will consume NoSQL databases reactively to allow you to create high-throughput microservices. Create cloud-native microservices that can run on a wide range of cloud providers, and monitor them. You will create Docker containers for your microservices and scale them. Finally, you will deploy your microservices in OpenShift Online.
Table of Contents (14 chapters)

Best Practices

During the course of this book, we have learned a vast set of technologies and tools that allowed us to create microservices with Kotlin using the Spring Framework; however, this is not a simple task. When we apply what we have learned in our own project, there will always be an infinite amount of approaches that we could choose, and some may work better than others.

In this chapter, we will try to learn industry best practices, which will allow us to improve the overall quality of our microservices. In this chapter, you will learn more about:

  • Kotlin idioms
  • Spring Context
  • Layering
  • Testing
  • Continuous Integration
  • Continuous Delivery