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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

Understanding your use case

This is the basic level of information that everyone should know before even thinking about the best practices or using Elastic Stack. If you learn about Elastic Stack and without thinking about your use case, you start to connect or process random data, then you will not be able to deduce proper information as required. You will always remain stranded when asked why you chose this or why not another software or tool. Hence, it becomes immensely important to understand your use case beforehand.

Your use-case primarily answers a lot of questions regarding the components to be used, the criticality of logging data flowing in, requirement of high availability clusters, and a need for centralized logging system. If your use-case comprises of analyzing the logs of an application, then you can make a decision accordingly about whether you need a single elasticsearch cluster, or if you need to create a centralized logging system.

One of the biggest questions that arises...

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