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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 2. Stepping into Elasticsearch

In the previous chapter, we learned the basics of Elasticsearch, Logstash, Kibana, and Beats, and how to install and configure them to set the pipeline. We came to know the role of Elasticsearch, and the way it worked with other components of the stack. This was just the tip of the iceberg. To get a better idea of how Elasticsearch works, we need to learn about the APIs, modules, and plugins it offers. These topics are divided in two chapters.

We're going to take a deep dive into Elasticsearch in this chapter. These are the topics that we are going to cover:

  • The beginning of Elasticsearch
  • Understanding the architecture
  • Elasticsearch APIs
  • Aggregation
  • A note for painless scripting

At the end of this chapter, you should have a good idea about how to use aggregations, and the power of APIs. There will be more about Elasticsearch, which will be covered in Chapter 8, Elasticsearch APIs.

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