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Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

By : Bharvi Dixit
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Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

1 (1)
By: Bharvi Dixit

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (13 chapters)
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Overview of Elastic Stack 5.0

Till now, we saw the awesomeness of Elasticsearch 5.0, but Elastic, as a company, offers more than only a search tool. In February 2016, Shay Banon, the creator of Elasticsearch, announced the renaming of ELK (Elasticsearch - Logstash - Kibana ) Stack to Elastic Stack 5.0. According to Shay, this change had two main reasons. First, they had one more tool - Packetbeat was included in their stack of tools - and second, they wanted to use a unified version across all the products they offer.

The components of Elastic Stack are as follows:

  • Elasticsearch: The REST- and JSON-based distributed full text open source search engine.
  • Logstash: An open source tool for processing and ingesting data to Elasticsearch from a multitude of sources.
  • Kibana: An open source tool for analytics and visualization of data residing inside Elasticsearch.
  • Beats: Latest open source tool included in the Elastic Stack ,which are used as data shippers to Elasticsearch or Logstash. They need to...
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