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Continuous Integration, Delivery, and Deployment

You're reading from   Continuous Integration, Delivery, and Deployment Reliable and faster software releases with automating builds, tests, and deployment

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787286610
Length 458 pages
Edition 1st Edition
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Author (1):
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Sander Rossel Sander Rossel
Author Profile Icon Sander Rossel
Sander Rossel
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Table of Contents (15) Chapters Close

Preface 1. Continuous Integration, Delivery, and Deployment Foundations FREE CHAPTER 2. Setting Up a CI Environment 3. Version Control with Git 4. Creating a Simple JavaScript App 5. Testing Your JavaScript 6. Automation with Gulp 7. Automation with Jenkins 8. A NodeJS and MongoDB Web App 9. A C# .NET Core and PostgreSQL Web App 10. Additional Jenkins Plugins 11. Jenkins Pipelines 12. Testing a Web API 13. Continuous Delivery 14. Continuous Deployment

Installing MongoDB

In this chapter, we are going to use MongoDB, one of the most popular NoSQL databases at the time of writing. It is even pretty popular when compared to SQL databases. According to DB-Engines Ranking (https://db-engines.com/en/ranking), MongoDB is the fifth most popular database right after all the major SQL databases. In case you have no experience with NoSQL, it means Not-only-SQL (and not No-SQL-whatsoever). MongoDB is a document-oriented database, meaning it stores document-oriented or semi-structured data. It is not very different from SQL and so is a perfect introduction to the world of NoSQL. Additionally, it is quite easy to get started with. And so I chose to use it for this chapter.

I just want to quickly mention the biggest differences with SQL databases, such as SQL Server, MySQL, and Oracle. First of all, MongoDB stores its data as Binary JSON ...

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