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Learning ELK Stack, by Saurabh Chhajed
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Build mesmerizing visualizations, analytics, and logs from your data using Elasticsearch, Logstash, and Kibana
About This Book- 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
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
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.
Style and approachThis book is a step-by-step guide, complete with various examples to solve your data analytics problems by using the ELK stack to explore and visualize data.
- Sales Rank: #1025979 in Books
- Published on: 2016-03-01
- Released on: 2015-11-26
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .47" w x 7.50" l, .80 pounds
- Binding: Paperback
- 235 pages
About the Author
Saurabh Chhajed
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.
Most helpful customer reviews
5 of 6 people found the following review helpful.
A generic and inaccurate coverage of the ELK stack
By Jascha Casadio
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!
1 of 2 people found the following review helpful.
Like it!
By Amazon Customer
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.
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