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Description

The ELK stack—Elasticsearch, 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. You’ll move on to building a basic data pipeline using the ELK stack. Next, you’ll 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.

Who is this book 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.

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

What do you get with a Packt Subscription?

Free for first 7 days. ₹800 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

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Frequently bought together

Kibana Essentials

Nov 2015 206 pages

2.8 (4)

eBook

₹799 ~~₹2323.99~~

Learning ELK Stack

Nov 2015 206 pages

3.2 (5)

eBook

₹799 ~~₹2919.99~~

Total ₹ 6,554.98

₹2904.99

₹3649.99

Total ₹ 6,554.98

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Akshay Aug 24, 2017

Great to begin ELK

Amazon Verified review

Amazon Customer Jan 25, 2016

Just over a month ago, I purchased a copy of Learning ELK stack and is a good book for those wanting a quick ramp up of what ELK is, This is a good step-by-step guide for Elastic Search, Logstash and Kibana. this book its well written and gives an honest account, i would highly recommend this as a first book read to anyone wanting to know about ELK.

Kindle Customer Jun 07, 2017

Great quickstart , got me up and going very quickly. It does however lack depth so if you need a reference this would have to be in addition to the elk documentation.

Mark Grover Jan 09, 2016

A very good book, let down by inaccurate examples of unix command syntax which quite simply doesnt work. I am new to ELK and followed the example scenario presented in the book but had to google and research some of the command syntax as the printed examples returned errors. Its such a shame as the author presents a very thorough step by step guide to configuring the ELK components. I did manage to get everything working and would still recommend the book to newcomers despite the Unix command issues.

Jascha Casadio Jul 02, 2016

The Elasticsearch, Logstash and Kibana trinity, usually referred to as the ELK stack, is by far, the de facto standard in log centralization and analysis. Despite being such a popular solution, with some half a million downloads per month, the titles available to the stack or specific to its components are still very limited. This is partially compensated by the official documentation, which is both friendly and easy to follow and allows anyone to quickly get started. Learning ELK Stack is the only title available, until now, that covers the three products at once. It targets beginners who are interested in an overall view of the stack and its components.Released at the end of 2015, Learning ELK Stack is a short book spanning around 200 pages. As any typical beginner's title, it does start with an introductory chapter that gets the reader through the installation process. What follows is a series of chapters where the author first shows the power of the stack and then dives deeper into its components.The very first chapter already reveals problems that are present throughout the whole book. It is very superficial and does not really get a beginner started. First of all, the stack does require Oracle's JDK installed and configured. This is completely overlooked. Now while someone might argue that it is pretty straightforward through a package manager, the reader can still be using a distro whose package manager installs a version of the JDK that is not suitable for the ELK stack. Likewise, the whole stack can be installed through simple apt commands. The author does cover installation through .tar.gz archives, completley overlooking installing and configuring Java from the source and the default Java (yea, you can have multiple at the same time). Which is not that straightforward.Installation apart, nothing is said about the configuration of the three softwares neither as a standalone nor as a stack. Well, this is not properly correct. The astonishing amount of twelve lines is dedicated to this in fact. After an overall overview of the stack, with an example built using data from Yahoo—you ain't limited to use the stack to process logs, the authors focuses on the components, each at a time. These chapters feel like a reference. Each option is listed, but the examples do not go beyond the two lines. Interestingly, by googling sentences from the book, we find a 70% match analysis with the official documentation (Harvard refers to this as mosaic plagiarism), suggesting a copy/paste with a couple of words added/removed.As an example, this is what we find in Learning ELK stack:The mutate filter is an important filter plugin that helps rename, remove, replace, and modify fields in an incoming event.And this is the information we freely find in the official documentation provided by Elastic:The mutate filter allows you to perform general mutations on fields. You can rename, remove, replace, and modify fields in your events.Tying it all up, I do not really recommend this book ,despite being the only title covering the stack as a whole. The documentation the reader will find is first of all inaccurate. Anything else can be found for free in the official documentation.I have tried to contact Packt Publishing asking what is their position on that matter. I did not get any real answer apart from a semi-automatic one.As usual, you can find more reviews on my personal blog: books.lostinmalloc.com. Feel free to pass by and share your thoughts!

Learning ELK Stack: Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana

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