Chhajed S. - Learning ELK Stack
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.Build mesmerizing visualizations, and analytics from your logs and data using Elasticsearch, Logstash, and Kibana.The ELK stackElasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before.This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. Youll move on to building a basic data pipeline using the ELK stack.Next, youll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps.Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.What You Will Learn:
Install, configure, and run Elasticsearch, Logstash, and Kibana;
Understand the need for log analytics and the current challenges in log analysis;
Build your own data pipeline using the ELK stack;
Familiarize yourself with the key features of Logstash and the variety of input, filter, and output plugins it provides;
Build your own custom Logstash plugin;
Create actionable insights using charts, histograms, and quick search features in Kibana4;
Understand the role of Elasticsearch in the ELK stack.Solve all your data analytics problems with the ELK stack.
Explore the power of Kibana4 search and visualizations built over Elasticsearch queries and learn about the features and plugins of Logstash.
Develop a complete data pipeline using the ELK stack.Who This Book Is For:
If you are a developer or DevOps engineer interested in building a system that provides amazing insights and business metrics out of data sources, of various formats and types, using the open source technology stack that ELK provides, then this book is for you. Basic knowledge of Unix or any programming language will be helpful to make the most out of this book. iPAD Amazon Kindle, PC , Cool Reader (EPUB), Calibre (EPUB, MOBI, AZW3), Adobe Digital Editions (EPUB), FBReader (EPUB, MOBI, AZW3).
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Copyright 2015 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, and its dealers and distributors will be held liable for any damages caused or alleged to be 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.
First published: November 2015
Production reference: 1231115
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78588-715-4
www.packtpub.com
Author
Saurabh Chhajed
Reviewers
Isra El Isa
Anthony Lapenna
Blake Praharaj
Commissioning Editor
Veena Pagare
Acquisition Editors
Reshma Raman
Purav Motiwalla
Content Development Editor
Rashmi Suvarna
Technical Editor
Siddhesh Ghadi
Copy Editor
Priyanka Ravi
Project Coordinator
Milton Dsouza
Proofreader
Safis Editing
Indexer
Mariammal Chettiyar
Graphics
Disha Haria
Production Coordinator
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Cover Work
Nilesh R. Mohite
Saurabh Chhajed is a technologist with vast professional experience in building Enterprise applications that span across product and service industries. He has experience building some of the largest recommender engines using big data analytics and machine learning, and also enjoys acting as an evangelist for big data and NoSQL technologies. With his rich technical experience, Saurabh has helped some of the largest financial and industrial companies in USA build their large product suites and distributed applications from scratch. He shares his personal experiences with technology at http://saurzcode.in.
Saurabh has also reviewed books by Packt Publishing, Apache Camel Essentials and Java EE 7 Development with NetBeans 8, in the past.
I would like to thank my family, Krati, who supported and encouraged me in spite of all the time it took away from them. I would also like to thank all the technical reviewers and content editors without whom this book wouldn't have been possible.
Isra El Isa obtained her BSc in computer science from the University of Jordan in January 2014. After graduation, she spent a year working as a software engineer at Seclytics Security Co., Santa Clara, California, where she got to work with various technologies. Isra is currently employed by iHorizons Co., Amman, Jordan, as a software developer.
Anthony Lapenna made a transition to working on the OPS side after having followed a career in software development and is currently a system engineer at WorkIT. He's a huge fan of the automation and DEVOPS culture. He also loves to track the latest technologies and to participate in the open source ecosystem by writing technical articles and sharing his software.
Blake Praharaj is a software engineer who specializes in navigating the hectic start-up environment. He is currently employed at Core Informatics, creating data management solutions for scientists in multiple industries that rely on laboratory testing and effective data interpretation. As with any good developer, he is constantly learning and exploring new technologies!
I would like to thank my significant other for her support and understanding with the time it took to work on this book. I would also like to thank the entire Core Informatics team for their support of the time it took to learn this technology, especially Vico.
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This book is aimed at introducing the building of your own ELK Stack data pipeline using the open source technologies stack of Elasticsearch, Logstash, and Kibana. This book is also aimed at covering the core concepts of each of the components of the stack and quickly using them to build your own log analytics solutions. The book is divided into ten chapters. The first chapter helps you install all the components of the stack so that you can quickly build your first data pipeline in the second chapter. Chapter 3 to Chapter 7 introduce you to the capabilities of each of the components of the stack in detail. The eighth chapter builds a full data pipeline using ELK. The ninth chapter introduces you to some of the use cases of the ELK Stack in practice. Finally, the tenth chapter helps you know about some of the tools that can work with ELK Stack to enhance its capabilities.
, Introduction to ELK Stack , introduces ELK Stack, and what problems it solves for you. It explains the role of each component in the stack, and also gets you up and running with ELK Stack and with installations of all its componentsElasticsearch, Logstash, and Kibana.
, Building Your First Data Pipeline with ELK , helps you build a basic ELK Stack pipeline using a CSV formatted input, and explores the basic configurations to get your ELK Stack up and running to analyze data quickly.
, Collect, Parse, and Transform Data with Logstash , covers the key features of Logstash, and explains how Logstash helps integrate with a variety of input and output sources. This chapter also aims to explain various Logstash input, filter, and output plugins, which help collect, parse, transform, and ship data using Logstash.
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