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Building Enterprise JavaScript Applications

You're reading from   Building Enterprise JavaScript Applications Learn to build and deploy robust JavaScript applications using Cucumber, Mocha, Jenkins, Docker, and Kubernetes

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788477321
Length 764 pages
Edition 1st Edition
Languages
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Author (1):
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Daniel Li Daniel Li
Author Profile Icon Daniel Li
Daniel Li
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Table of Contents (20) Chapters Close

Preface 1. The Importance of Good Code FREE CHAPTER 2. The State of JavaScript 3. Managing Version History with Git 4. Setting Up Development Tools 5. Writing End-to-End Tests 6. Storing Data in Elasticsearch 7. Modularizing Our Code 8. Writing Unit/Integration Tests 9. Designing Our API 10. Deploying Our Application on a VPS 11. Continuous Integration 12. Security – Authentication and Authorization 13. Documenting Our API 14. Creating UI with React 15. E2E Testing in React 16. Managing States with Redux 17. Migrating to Docker 18. Robust Infrastructure with Kubernetes 19. Other Books You May Enjoy

Introduction to Elasticsearch

So, what is Elasticsearch? First and foremost, Elasticsearch should not be viewed as a single, one-dimensional tool. Rather, it's a suite of tools that consists of a distributed database, a full-text search engine, and also an analytics engine. We will focus on the "database" part in this chapter, dealing with the "distributed" and "full-text search" parts later.

At its core, Elasticsearch is a high-level abstraction layer for Apache Lucene, a full-text search engine. Lucene is arguably the most powerful full-text search engine around; it is used by Apache Solr, another search platform similar to Elasticsearch. However, Lucene is very complex and the barrier to entry is high; thus Elasticsearch abstracts that complexity away into a RESTful API.

Instead of using Java to...

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