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Learning Elastic Stack 6.0

You're reading from Learning Elastic Stack 6.0 A beginner's guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana

Product type Paperback

Published in Dec 2017

Publisher Packt

ISBN-13 9781787281868

Length 434 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Authors (2):

Sharath Kumar

Pranav Shukla

View More author details

Table of Contents (12) Chapters

Preface

1. Introducing Elastic Stack FREE CHAPTER

2. Getting Started with Elasticsearch

3. Searching-What is Relevant

4. Analytics with Elasticsearch

5. Analyzing Log Data

6. Building Data Pipelines with Logstash

7. Visualizing data with Kibana

8. Elastic X-Pack

9. Running Elastic Stack in Production

10. Building a Sensor Data Analytics Application

11. Monitoring Server Infrastructure

Introducing Beats

Beats are lightweight data shippers that are installed as agents on edge servers to ship operational data to Elasticsearch. Just like Elasticsearch, Logstash, Kibana, and Beats are open source products too. Depending on the use case, Beats can be configured to ship the data to Logstash for transforming the events prior to pushing the events to Elasticsearch.

The Beats framework is made up of a library called libbeat which provides infrastructure to simplify the process of shipping the operation data to Elasticsearch. It offers the API that all Beats can use to ship data to an output (such as Elasticsearch, Logstash, Redis, Kafka, and so on), configure the input/output options, process the events, implement logging, and more. The Libbeat library is built using the Go programming language. Go was chosen to build Beats because it's easy to learn, very resource friendly, and as it's statically compiled it's easy to deploy.

Elastic.co has built and maintained several Beats such...

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Authors (2)

Pranav Shukla

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.

See other products by Pranav Shukla

Sharath Kumar

Sharath Kumar

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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