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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

Backing up and restoring

Taking regular backups of your data to recover in the event of catastrophic failures is absolutely critical. It is important that all of your data is saved periodically at fixed time intervals and a sufficient number of such backups are preserved.

A common strategy is to take a full backup of your data at regular intervals and keep a fixed number of backups. Your cluster may be deployed on-premise in your own data center or it may be deployed on a cloud hosted service such as AWS, where you may be managing the cluster yourself.

We will look at the following topics on how to manage your backups and restore a specific backup if it is needed:

  • Setting up a repository for snapshots
  • Taking snapshots
  • Restoring a specific snapshot

Let's look at how to do these one by one.

...
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