You're reading from Designing Hexagonal Architecture with Java

Product type Book

Published in Jan 2022

Publisher Packt

ISBN-13 9781801816489

Pages 460 pages

Edition 1st Edition

Languages

Concepts

Software Architecture

Author (1):

Davi Vieira

Table of Contents (21) Chapters

Preface

1. Section 1: Architecture Fundamentals

2. Chapter 1: Why Hexagonal Architecture?

3. Chapter 2: Wrapping Business Rules inside Domain Hexagon

4. Chapter 3: Handling Behavior with Ports and Use Cases

5. Chapter 4: Creating Adapters to Interact with the Outside World

6. Chapter 5: Exploring the Nature of Driving and Driven Operations

7. Section 2: Using Hexagons to Create a Solid Foundation

8. Chapter 6: Building the Domain Hexagon

9. Chapter 7: Building the Application Hexagon

10. Chapter 8: Building the Framework Hexagon

11. Chapter 9: Applying Dependency Inversion with Java Modules

12. Section 3: Becoming Cloud-Native

13. Chapter 10: Adding Quarkus to a Modularized Hexagonal Application

14. Chapter 11: Leveraging CDI Beans to Manage Ports and Use Cases

15. Chapter 12: Using RESTEasy Reactive to Implement Input Adapters

16. Chapter 13: Persisting Data with Output Adapters and Hibernate Reactive

17. Chapter 14: Setting Up Dockerfile and Kubernetes Objects for Cloud Deployment

18. Chapter 15: Good Design Practices for Your Hexagonal Application

19. Assessments

20. Other Books You May Enjoy

Deploying on Minikube

Minikube is a Kubernetes cluster that was made for development purposes. It allows us to create and destroy clusters with ease. Because of its simplicity, we'll use Minikube to deploy our hexagonal system by following these steps (I recommend following the instructions at https://minikube.sigs.k8s.io/docs/start/ to install Minikube on your machine):

Once you have installed Minikube, you can start your cluster by issuing the following command:

$ minikube start
:) minikube v1.4.0 on Fedora 30
   Creating virtualbox VM (CPUs=2, Memory=2000MB, Disk=20000MB) ...
   Preparing Kubernetes v1.16.0 on Docker 18.09.9 ...
   Pulling images ...
   Launching Kubernetes ... 
   Waiting for: apiserver proxy etcd scheduler controller dns
   Done! kubectl is now configured to use "minikube"

The default cluster configuration consumes two CPUs, 2 GB of RAM, and 20 GB of...