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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

Features of Logstash


Among the various features of Logstash, we will have a look at the key features that differentiate Logstash other log management tools:

  • Open source: Logstash is completely free to use and is an open source tool whose source code is available freely on GitHub.

  • Seamless integration with Elasticsearch, Beats, and Kibana: This is a powerful data processing pipeline which is tightly coupled to fetch data from multiple systems using Beats, store the data for real-time search capabilities in Elasticsearch, and visualize the stored data using Kibana.

  • Extensibility: Logstash provides a variety of inputs, filters, and outputs to use for processing logs of different types. It provides flexibility to create and develop inputs, filters, or outputs for Logstash, which are easy to create and developer-friendly.

  • Interoperability: Logstash provides the interoperability to use it with various other components and tools. Logstash can fetch data from various different tools and output the...

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