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Elasticsearch 7 Quick Start Guide

You're reading from  Elasticsearch 7 Quick Start Guide

Product type Book
Published in Oct 2019
Publisher Packt
ISBN-13 9781789803327
Pages 186 pages
Edition 1st Edition
Languages
Concepts
Authors (2):
Anurag Srivastava Anurag Srivastava
Profile icon Anurag Srivastava
LinkedIn
Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.
See other products by Anurag Srivastava
Douglas Miller Douglas Miller
Profile icon Douglas Miller
LinkedIn
Douglas Miller is an expert in helping fast-growing companies to improve performance and stability, and in building search platforms using Elasticsearch. Clients (including Walgreens, Nike, Boeing, and Dish Networks) have seen sales increase, fast performance times, and lower overall costs in terms of the total costs of ownership for their Elasticsearch clusters.
See other products by Douglas Miller
View More author details

Table of Contents (10) Chapters

Preface 1. Introduction to Elastic Stack 2. Installing Elasticsearch 3. Many as One – the Distributed Model 4. Prepping Your Data – Text Analysis and Mapping 5. Let's Do a Search! 6. Performance Tuning 7. Aggregating Datasets 8. Best Practices 9. Other Books You May Enjoy

Installing Elasticsearch

In the last chapter, we introduced the Elastic Stack. We covered the basics and different use cases. Now we will focus on Elasticsearch and learn more about it. In this chapter, we will cover the Elasticsearch installation process on different operating systems. Elasticsearch can be installed and run on a computer or on the Elastic Cloud (assuming it's the hosted Elasticsearch service). The latter option uses Amazon Web Services (AWS) and Google Cloud Platform (GCP) to host Elasticsearch and Kibana, and users should note that to run the Elastic Stack, Java 8 or newer is needed. So, let's start the Elasticsearch installation process to understand how it can be installed on different operating systems. In this chapter, we are going to cover the following:

  • Installing Elasticsearch on Linux or macOS
  • Installing Elasticsearch using the Debian package...
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Authors (2)

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Profile icon Anurag Srivastava
LinkedIn
Anurag Srivastava is a senior technical lead in a multinational software company. He has more than 12 years' experience in web-based application development. He is proficient in designing architecture for scalable and highly available applications. He has handled development teams and multiple clients from all over the globe over the past 10 years of his professional career. He has significant experience with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, and relational databases. He has authored three other booksMastering Kibana 6.x, and Kibana 7 Quick Start Guide, and Learning Kibana 7 - Second Edition, all published by Packt.
Read more
See other products by Anurag Srivastava
Profile icon Douglas Miller
LinkedIn
Douglas Miller is an expert in helping fast-growing companies to improve performance and stability, and in building search platforms using Elasticsearch. Clients (including Walgreens, Nike, Boeing, and Dish Networks) have seen sales increase, fast performance times, and lower overall costs in terms of the total costs of ownership for their Elasticsearch clusters.
See other products by Douglas Miller
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