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Learning ELK Stack

You're reading from   Learning ELK Stack Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785887154
Length 206 pages
Edition 1st Edition
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Author (1):
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Saurabh Chhajed Saurabh Chhajed
Author Profile Icon Saurabh Chhajed
Saurabh Chhajed
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Why Elasticsearch?

Elasticsearch is a search and analytics engine that enables fast and scalable searches in a distributed environment. As we have already covered in Chapter 1, Introduction to ELK Stack, some of the biggest distributed architectures, such as GitHub, StackOverflow, and Wikipedia, make use of the Elasticsearch full-text search, structured search, and analytics capabilities for fast and relevant searches.

Elasticsearch is built on Apache Lucene. The definition of Lucene from its Apache page (https://lucene.apache.org) is:

"Apache LuceneTM is a high-performance, full-featured text search engine library written entirely in Java. It is a technology suitable for nearly any application that requires full-text search, especially cross-platform"

Elasticsearch hides the complexity behind Lucene by providing a powerful RESTful API built on top of it, which makes querying the indexed data easier, and makes it available to any programming language. It extends the capabilities...

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