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You're reading from Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

Product type Paperback

Published in May 2019

Publisher Packt

ISBN-13 9781789954395

Length 474 pages

Edition 2nd Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Sharath Kumar

Pranav Shukla

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Table of Contents (17) Chapters

Preface

1. Section 1: Introduction to Elastic Stack and Elasticsearch FREE CHAPTER

2. Introducing Elastic Stack

3. Getting Started with Elasticsearch

4. Section 2: Analytics and Visualizing Data

5. Searching - What is Relevant

6. Analytics with Elasticsearch

7. Analyzing Log Data

8. Building Data Pipelines with Logstash

9. Visualizing Data with Kibana

10. Section 3: Elastic Stack Extensions

11. Elastic X-Pack

12. Section 4: Production and Server Infrastructure

13. Running Elastic Stack in Production

14. Building a Sensor Data Analytics Application

15. Monitoring Server Infrastructure

16. Other Books You May Enjoy

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Use cases of Elastic Stack

Elastic Stack components have a variety of practical use cases, and new use cases are emerging as more plugins are added to existing components. As mentioned earlier, you may use a subset of the components for your use case. The following list of example use cases is by no means exhaustive, but highlights some of the most common ones:

Log and security analytics
Product search
Metrics analytics
Web searches and website searches

Let's look at each use case.

Log and security analytics

The Elasticsearch, Logstash, and Kibana trio was, previously, very popular as a stack. The presence of Elasticsearch, Logstash, and Kibana (also known as ELK) makes the Elastic Stack an excellent stack for aggregating...

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Authors (2)

Pranav Shukla

Pranav Shukla is the founder and CEO of Valens DataLabs, a technologist, husband, and father of two. He is a big data architect and software craftsman who uses JVM-based languages. Pranav has over 14 years' experience in architecting enterprise applications for Fortune 500 companies and start-ups. His core expertise lies in building JVM-based, scalable, reactive, and data-driven applications using Java/Scala, the Hadoop ecosystem, Apache Spark, and NoSQL databases. Pranav founded Valens DataLabs with the vision of helping companies to leverage data to their competitive advantage. In his spare time, he enjoys reading books, playing musical instruments, singing, listening to music, and watching cricket.

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Sharath Kumar M N

Sharath Kumar M N did his master's in computer science at the University of Texas, Dallas, USA. He is currently working as a senior principal architect at Broadcom. Prior to this, he was working as an Elasticsearch solutions architect at Oracle. He has given several tech talks at conferences such as Oracle Code events. Sharath is a certified trainer Elastic Certified Instructor one of the few technology experts in the world who has been certified by Elastic Inc. to deliver their official from the creators of Elastic training. He is also a data science and machine learning enthusiast. In his free time, he likes playing with his lovely niece, Monisha; nephew, Chirayu; and his pet, Milo.

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