Book Image

Elasticsearch 7 Quick Start Guide

By : Anurag Srivastava, Douglas Miller
Book Image

Elasticsearch 7 Quick Start Guide

By: Anurag Srivastava, Douglas Miller

Overview of this book

Elasticsearch is one of the most popular tools for distributed search and analytics. This Elasticsearch book highlights the latest features of Elasticsearch 7 and helps you understand how you can use them to build your own search applications with ease. Starting with an introduction to the Elastic Stack, this book will help you quickly get up to speed with using Elasticsearch. You'll learn how to install, configure, manage, secure, and deploy Elasticsearch clusters, as well as how to use your deployment to develop powerful search and analytics solutions. As you progress, you'll also understand how to troubleshoot any issues that you may encounter along the way. Finally, the book will help you explore the inner workings of Elasticsearch and gain insights into queries, analyzers, mappings, and aggregations as you learn to work with search results. By the end of this book, you'll have a basic understanding of how to build and deploy effective search and analytics solutions using Elasticsearch.
Table of Contents (10 chapters)

Introduction to Elastic Stack

The Elastic Stack consists of Elasticsearch, Logstash, and Kibana, which together form the ELK Stack. Elasticsearch is an open source search engine developed by Shay Banon, with an easy-to-use web interface that provides excellent flexibility through plugins that expand the functionality of a wide range of applications. Because it is open source, it is easily accessible to everyone, and user input provides great feedback for ongoing, constant improvement of the product. Elasticsearch can be used for everything from simple to complex searches. For example, a simple search for old maps could involve counting the number of cartographers, or studying cartographers' products, or analyzing map contents. Many criteria can be used for searches, for a wide range of purposes.

Elasticsearch supports multi-tenancy, meaning it can store multiple indices on a server, and information can be retrieved from multiple indices using a single query. It uses documents with JSON format; for requests, responses, and during transfer, they are automatically indexed. In this chapter, we are going to cover the following topics:

  • Brief history and background
  • Why use Elasticsearch?
  • What is log analysis?
  • Elastic Stack architecture
  • Use cases of the Elastic Stack