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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

Sizing the Elasticsearch cluster

It is important to understand how we can size the Elasticsearch cluster efficiently by choosing the right kind of node, determining the number of nodes in the cluster, determining the number of shards and replicas to use, and determining the number of indices to store. There are no fixed rules to follow in order to size the Elasticsearch cluster.

Choosing the right kind of node

In Elasticsearch, we have always dealt with nodes, but somewhere no clear distinction has been made on the different types of node that are available. Let's understand the different type of nodes that can be created in the Elasticsearch cluster.

Master and data node

This is the default node that is created in the Elasticsearch cluster whenever an Elasticsearch instance is started. This type of node acts as a master node as well as stores the data. If this node is not a master node and another node fails, then this node will be available to become the master node. It performs operations...

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