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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

Choosing the right set of hardware

The important metric to understand while installing Elastic Stack, is to know how much memory will be consumed, disk space required, maintaining proper I/O requests, how much CPU or cores are required for resource consumption, and the network among the systems. Whenever we install Elastic Stack there is always confusion on the amount of resources used by each of the component. Let us try to break the resources requirement based on the various components.

Memory

It is one of the most important parameters that affect the performance of an application. If the memory provided is lower than expected, then the application can stop, fail, or show an Out of Memory error.

Memory sizing is important as memory is used by the OS for various tasks. Hence, determining how much memory to provide to Elastic Stack components is essential such that application and OS performance do not get affected.

In the context of Elastic Stack, memory is crucial to decide if you should...

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