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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

Why do we require best practices?

When we start to learn a tool, we always try to use the tool on a standalone machine from which we gain expertise and can experiment various things. As and when we take the small setup to a big setup ranging multiple systems, there can be a lot of things that can hinder the performance or could not provide the optimum results that we get on a small setup. In order to achieve the best results, we require understanding and following some of the practices that have been followed by others leading to a higher performance and less troubles. In terms of programming languages, we have the concept of best coding practices, which describes how to write a code that is easy to understand, maintain, and read, which reduces the effort if someone else starts working on the same or similar piece of code. But in tools or components there is no hard and fast rule of best practices. Best practices will depend on various factors such as the architecture designed, components...

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