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Designing Hexagonal Architecture with Java

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
Author (1):
Davi Vieira Davi Vieira
Profile icon Davi Vieira
Toc

Table of Contents (21) Chapters close

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

Preparing the Docker image

Container-based virtualization technology is not something new. Long before Docker, there were technologies such as OpenVZ, which applied the same fundamental concepts that are applied by Docker as well. Even today, we have alternatives such as Linux Containers (LXC), which provide a robust container-based solution. What sets Docker apart is how easy and intuitive it makes handling containerized applications. Docker takes portability to another level, simplifying and making containers a viable technology for larger audiences.

In the past, other container platforms were not so straightforward to use as Docker is today. Containers were a topic more related to system administrators than to software developers. Today, the scenario is different because of the simple yet powerful container-based solution we have with Docker. Because of its simplicity, Docker rapidly became popular among developers, who started to incorporate it into their projects.

As I mentioned...

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