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Designing Hexagonal Architecture with Java

You're reading from   Designing Hexagonal Architecture with Java An architect's guide to building maintainable and change-tolerant applications with Java and Quarkus

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816489
Length 460 pages
Edition 1st Edition
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Author (1):
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Davi Vieira Davi Vieira
Author Profile Icon Davi Vieira
Davi Vieira
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Architecture Fundamentals
2. Chapter 1: Why Hexagonal Architecture? FREE CHAPTER 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):

  1. 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...

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