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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

Summary

If we talk about customization of four tools, it would take four different chapters to begin with. However, we tried to understand the ways a tool can be extended. In this chapter, we learned about extending Elasticsearch by learning how a plugin is organized and popular ways to customize.

Later in the chapter, we created a Logstash plugin, which captured data from the Openweathermap.org server and sent it to Elasticsearch. We also learned about creating a new beat with example of collecting data from the same web service. Finally, we set up the Kibana development environment and learned to create a very basic hack of changing the title of the Kibana pages by appending PACKT to it.

In the next chapter, we will be revisiting Elasticsearch and its APIs. We will learn how to access the APIs and how they are useful to us. The chapter will also introduce ingest nodes which is a new addition to Elasticsearch v5.x onwards.

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