Srivastava - MASTERING KIBANA 6.0: interactive visualization with histograms, trends, maps, charts and graphs

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Pravin Dhandre
Acquisition Editor: Viraj Madhav
Content Development Editor: Karan Thakkar
Technical Editor: Sagar Sawant
Copy Editors: Dhanya Baburaj, Shaila Kusanale, Dipti Mankame, Laxmi Subramanian
Project Coordinator: Nidhi Joshi
Proofreader: Safis Editing
Indexer: Pratik Shirodkar
Graphics: Jisha Chirayil
Production Coordinator: Nilesh Mohite

First published: July 2018

Production reference: 1310718

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78883-103-1

www.packtpub.com

Mapt is an online digital library that gives you full access to over 5,000 books and videos, as well as industry leading tools to help you plan your personal development and advance your career. For more information, please visit our website.

• Spend less time learning and more time coding with practical eBooks and Videos from over 4,000 industry professionals

• Improve your learning with Skill Plans built especially for you

• Get a free eBook or video every month

• Mapt is fully searchable

• Copy and paste, print, and bookmark content

Did you know that Packt offers eBook versions of every book published, with PDF and ePub files available? You can upgrade to the eBook version at www.PacktPub.com and as a print book customer, you are entitled to a discount on the eBook copy. Get in touch with us at service@packtpub.com for more details.

At www.PacktPub.com , you can also read a collection of free technical articles, sign up for a range of free newsletters, and receive exclusive discounts and offers on Packt books and eBooks.

Anurag Srivastava is a senior technical lead since 11 years in a multinational software company in web-based application development. He has led and handled teams and clients since 7 years of his professional career. Proficient in designing and deployment of scalable applications, he has multiple certifications in ML and data science using Python. He is well experienced with the Elastic stack (Elasticsearch, Logstash, and Kibana) for creating dashboards using system metrics data, log data, application data, or relational databases.

Saurabh Chhajed is a Certified Spark and Hadoop developer with 8 years of professional experience in the enterprise application development and big data analytics , using the latest frameworks, tools, and design patterns. He has extensive experience of working with Agile and Scrum methodologies and enjoys acting as an evangelist for various big data frameworks and machine learning. While not working, he enjoys traveling and sharing his experiences on his blog, SAURZCODE.

Sharath Kumar M N is the author of Learning Elastic Stack 6.0 which was named as one of the Best Elasticsearch Books of All Time by BookAuthority (bookauthority.org). He has done his masters in computer science at The University of Texas, Dallas, USA. He is currently working as an big data architect at CA Technologies. He being an avid speaker, he has also given several tech talks in conferences such as the Oracle Code Event. His new interests are into DevOps and AIOps.

If you're interested in becoming an author for Packt, please visit authors.packtpub.com and apply today. We have worked with thousands of developers and tech professionals, just like you, to help them share their insight with the global tech community. You can make a general application, apply for a specific hot topic that we are recruiting an author for, or submit your own idea.

Kibana is a powerful visualization tool which can be use to solve different types of problems. The basic use of Kibana is log management and it is mostly used for the log management only because it is quite difficult to handle the logs without a proper tool which can help us to explore, filter, search and visualize the logs. We can also use Kibana in many other areas like for security monitoring and alerting in which we use the tool to figure out any suspicious activity or attack. Machine learning is another important feature which was introduced in Kibana 5.4 and provides us the luxury to apply the machine learning algorithm directly on the index pattern data without any other software dependency.

The objective of this book is to first introduce the reader with basics of Kibana like installation, functioning and log management etc and then to explain some complex topics like Timelion, Machine Learning etc and at last to provide some practical explanation to setup the dashboard like creating dashboard using Beats and then through RDBMS data. So we can say that this book is a complete package and covers almost every aspect of Kibana.

This book is for system admins, data analysts, programmers, and anyone who need a powerful dashboard using any sort of data. If you want to get complete insight of Kibana and how we can use it to solve our data exploration problems, you can refer to this book. This book is not a Kibana manual but a solution oriented approach where readers can get the idea to solve their problem in hand after learning the basics of Kibana. No prior Kibana knowledge is required for this book.

, Revising the ELK Stack , this chapter will explain details of ELK stack which is now known as Elastic Stack. Although they've all been built to work exceptionally well together, each one is a separate project that is driven by the open-source vendor Elastic. Through this chapter reader will get complete idea of these three software and will able to figure out that how we can combine these to achieve different use cases.