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Full Stack Development with JHipster

You're reading from   Full Stack Development with JHipster Build modern web applications and microservices with Spring and Angular

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788476317
Length 380 pages
Edition 1st Edition
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Authors (2):
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Sendil Kumar Nellaiyapen Sendil Kumar Nellaiyapen
Author Profile Icon Sendil Kumar Nellaiyapen
Sendil Kumar Nellaiyapen
Deepu K Sasidharan Deepu K Sasidharan
Author Profile Icon Deepu K Sasidharan
Deepu K Sasidharan
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Toc

Table of Contents (16) Chapters Close

Preface 1. Introduction to Modern Web Application Development FREE CHAPTER 2. Getting Started with JHipster 3. Building Monolithic Web Applications with JHipster 4. Entity Modeling with JHipster Domain Language 5. Customization and Further Development 6. Testing and Continuous Integration 7. Going into Production 8. Introduction to Microservice Server-Side Technologies 9. Building Microservices with JHipster 10. Working with Microservices 11. Deploying with Docker Compose 12. Deploying to the Cloud with Kubernetes 13. Using React for the Client-Side 14. Best Practices with JHipster 15. Other Books You May Enjoy

Starting the production database with Docker


JHipster creates a Dockerfile for the application and provides docker-compose files for all the technologies we choose, such as the database, search engine, Jenkins, and so on, under src/main/docker:

├── app.yml - Main compose file for the application
├── Dockerfile - The Dockerfile for the application
├── hazelcast-management-center.yml - Compose file hazelcast management center
├── jenkins.yml - Compose file for Jenkins
├── mysql.yml - Compose file for the database that we choose.
└── sonar.yml - COmpose file for SonarQube.

Let's see how we can start our production database using Docker from the compose file provided under src/main/docker/mysql.yml. You will need to use a Terminal for the following instructions:

  1. Run docker --version and docker-compose --version to ensure these are installed.
  2. Run docker ps to list the running containers. If you are not already running any containers, you should see an empty list.
  3. Let's start the DB by running docker...
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