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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
Elastic Stack Overview Stepping into Elasticsearch Exploring Logstash and Its Plugins Kibana Interface Using Beats Elastic Stack in Action Customizing Elastic Stack Elasticsearch APIs X-Pack: Security and Monitoring X-Pack: Alerting, Graph, and Reporting Best Practices Case Study-Meetup

How Beats differ from Logstash


From what we have understood about Beats, it looks fairly similar to Logstash, wherein we have input plugins that are used to parse the data. So, how does Beats differ? Beats are data shippers shipping data from a variety of inputs such as files, data streams, or logs whereas Logstash is a data parser. Though Logstash can ship data, it's not its primary usage. In a nutshell, Beats and Logstash are similar in functionality, but there are glaring differences between them both in terms of how they are developed and the underlying technology used.

Let's look at the differences between them:

  • Logstash consumes a lot of memory and requires a higher amount of resources, whereas Beats requires fewer resources and consumes low memory.

  • Logstash is heavy to install on all the systems from which you want to collect the logs, whereas Beats are lightweight data shippers that will ship your data from multiple systems.

  • If you are collecting logs from multiple systems, then you...

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