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Mastering Elastic Stack

You're reading from  Mastering Elastic Stack

Product type Book
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Pages 526 pages
Edition 1st Edition
Languages
Authors (2):
Ravi Kumar Gupta Ravi Kumar Gupta
Profile icon Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Profile icon Yuvraj Gupta
View More author details

Table of Contents (19) Chapters

Mastering Elastic Stack
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Elastic Stack Overview 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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