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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Chapter 11. Best Practices

In the previous chapter, we discussed the various components provided by X-Pack as part of Elastic Stack. We explored each of the components in detail covering what the component offers and the various functionalities provided by the component.

If you have been following the chapters, then you probably have a lot of questions in your mind on how should I start or proceed to create a scalable system, and what should be the best practices that should be adhered upon for creating an efficient system.

At the end of this chapter, you will understand some of the best practices that can be used in Elastic Stack, to make it production-ready after learning from other people's experiences.

In this chapter, we will cover the following topics:

  • Why do we require best practices?
  • Understanding your use case
  • Choosing the right set of hardware
  • Searching and indexing performance
  • Sizing the Elasticsearch cluster
  • Logstash configuration files
  • Re-indexing data
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