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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):

Pranav Shukla

Sharath Kumar

View More author details

Table of Contents (19) Chapters

Title Page

Credits

Disclaimer

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

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

Hosting Elastic Stack on a managed cloud

Cloud providers make the process of setting up a production ready cluster much easier. As a user, we don't have to do low-level configuration or the selection and management of hardware, an operating system, and many of the Elasticsearch and Kibana configuration parameters.

There are multiple cloud providers that provide managed clusters for Elastic Stack, such as Elastic Cloud, QBox.io, Bonsai, and many more. In this section, we will go through how to get started with Elastic Cloud. Elastic Cloud is the official cloud offering by the company Elastic.co, which is the main company contributing to the development of Elasticsearch and other Elastic Stack components. We will cover the following topics while working with Elastic Cloud:

Getting up and running on Elastic Cloud
Using Kibana
Overriding configuration
Recovering from a snapshot

Getting up and running on Elastic Cloud

Sign up for Elastic Cloud using https://www.elastic.co/cloud/as-a-service/signup...

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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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