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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

Beats in action with Elastic Stack


After learning about the various kinds of beats, their functionality, and the information provided, we will learn about how to get started with Beats in order to use it along with Elastic Stack. We will cover the following use cases, showcasing an end-to-end flow for the following cases:

  • Using Metricbeat to directly send data to Logstash, which will process and store logs in Elasticsearch so that they can then be visualized in Kibana

  • Using Elasticbeat to index data in Elasticsearch and visualize it using Kibana

In this section, you will understand how to get started with simple processing and how to connect multiple components with ease. The objective of this section is not to show you the powerful processing capabilities of Logstash, or how Beats will optimize performance across various systems; it is just to show you how we can connect multiple components so that data flows from each component, and we can corelate the input from Beats to visualize the output...

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