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Microservice Patterns and Best Practices

You're reading from   Microservice Patterns and Best Practices Explore patterns like CQRS and event sourcing to create scalable, maintainable, and testable microservices

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788474030
Length 366 pages
Edition 1st Edition
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Author (1):
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Vinicius Feitosa Pacheco Vinicius Feitosa Pacheco
Author Profile Icon Vinicius Feitosa Pacheco
Vinicius Feitosa Pacheco
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Table of Contents (15) Chapters Close

Preface 1. Understanding the Microservices Concepts 2. The Microservice Tools FREE CHAPTER 3. Internal Patterns 4. Microservice Ecosystem 5. Shared Data Microservice Design Pattern 6. Aggregator Microservice Design Pattern 7. Proxy Microservice Design Pattern 8. Chained Microservice Design Pattern 9. Branch Microservice Design Pattern 10. Asynchronous Messaging Microservice 11. Microservices Working Together 12. Testing Microservices 13. Monitoring Security and Deployment 14. Other Books You May Enjoy

Data definition – RecommendationService


Let's begin the technical development of our RecommendationService microservice by creating a container with the database that will be used. In the case of our microservices, we will use a database based on graphs—the Neo4j. The behavior of this database is very interesting, besides being easy to implement, thus being a perfect example for our application.

In our docker-compose.yml file, we make a small change by adding Neo4j to our stack:

    recommendation_db:
      image: neo4j:latest
      ports:
        - "7474:7474"
        - "7687:7687"
      environment:
        NEO4J_AUTH: "none"

With this simple particle of code, we already have an instance of Neo4j inside a Docker container.

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