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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

2. Getting Started with Elasticsearch FREE CHAPTER

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

Hosting Elastic Stack on your own

Hosting Elastic Stack on your own, that is, self-hosting Elastic Stack, requires you to install, configure, and manage your Elasticsearch and other Elastic Stack products. This can be done in one of two ways:

Self-hosting on-premise
Self-hosting on a cloud

Regardless of whether you run Elastic Stack on-premise (in your own data center) or run it on one of the cloud providers, such as AWS, Azure, or GCE, there are some common aspects that you should take into consideration. While self-hosting, you will be faced with the following choices:

Selecting hardware
Selecting the operating system
Configuring Elasticsearch nodes
Managing and monitoring Elasticsearch nodes
Special considerations while self-hosting on a cloud

Except for the last item, which is applicable only if you are self-hosting on a cloud, the others are equally applicable for cloud as well as on-premise deployments.

Selecting hardware

Elasticsearch primarily has memory-bound tasks which rely on the inverted...

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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.

See other products by Sharath Kumar

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