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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

Elasticsearch clients

Earlier in this chapter, we got to know that Elasticsearch nodes support both transport and HTTP protocols. Using this flexibility, Elasticsearch nodes can be managed by its client written in other programming languages. There are a number of clients to perform operations on cluster and nodes. These clients can connect to a node or cluster to manage indices, operations on documents, and make searches.

Supported clients

A few clients are supported officially by the Elasticsearch organization. These clients are basically APIs that you can utilize with your own applications written in respective programming languages. For example, if you are developing a Java web application that integrates to Elasticsearch and you want to offer managing indices through an admin panel, you can use the Java API supported by Elasticsearch to connect to the cluster and nodes and do the necessary operations. The following is a list of all supported clients by Elasticsearch:

  • Java API
  • JavaScript...
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