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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

Hosting Elastic Stack on a managed cloud

Cloud providers make the process of setting up a production-ready cluster much easier. As a user, we don't have to do low-level configuration or the selection and management of hardware, an operating system, and many of the Elasticsearch and Kibana configuration parameters.

There are multiple cloud providers that provide managed clusters for Elastic Stack, such as Elastic Cloud, QBox.io, Bonsai, and many more. In this section, we will go through how to get started with Elastic Cloud. Elastic Cloud is the official cloud offering by the company Elastic.co, which is the main company contributing to the development of Elasticsearch and other Elastic Stack components. We will cover the following topics while working with Elastic Cloud:

  • Getting up and running on Elastic Cloud
  • Using Kibana
  • Overriding configuration
  • Recovering from a snapshot...
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