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Learning Elastic Stack 7.0

You're reading from   Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789954395
Length 474 pages
Edition 2nd Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Elastic Stack and Elasticsearch
2. Introducing Elastic Stack FREE CHAPTER 3. Getting Started with Elasticsearch 4. Section 2: Analytics and Visualizing Data
5. Searching - What is Relevant 6. Analytics with Elasticsearch 7. Analyzing Log Data 8. Building Data Pipelines with Logstash 9. Visualizing Data with Kibana 10. Section 3: Elastic Stack Extensions
11. Elastic X-Pack 12. Section 4: Production and Server Infrastructure
13. Running Elastic Stack in Production 14. Building a Sensor Data Analytics Application 15. Monitoring Server Infrastructure 16. Other Books You May Enjoy

Exploring the components of the Elastic Stack

The Elastic Stack components are shown in the following diagram. It is not necessary to include all of them in your solution. Some components are general-purpose and can be used outside the Elastic Stack without using any other components.

Let's look at the purpose of each component and how they fit into the stack:

Elasticsearch

Elasticsearch is at the heart of the Elastic Stack. It stores all your data and provides search and analytic capabilities in a scalable way. We have already looked at the strengths of Elasticsearch and why you would want to use it. Elasticsearch can be used without using any other components to power your application in terms of search and analytics...

You have been reading a chapter from
Learning Elastic Stack 7.0 - Second Edition
Published in: May 2019
Publisher: Packt
ISBN-13: 9781789954395
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