Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Mastering Elastic Stack

You're reading from Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

Product type Paperback

Published in Feb 2017

Publisher Packt

ISBN-13 9781786460011

Length 526 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Data Analysis

Authors (2):

Ravi Kumar Gupta

Yuvraj Gupta

View More author details

Table of Contents (13) Chapters

Preface

1. Elastic Stack Overview FREE CHAPTER

2. Stepping into Elasticsearch

3. Exploring Logstash and Its Plugins

4. Kibana Interface

5. Using Beats

6. Elastic Stack in Action

7. Customizing Elastic Stack

8. Elasticsearch APIs

9. X-Pack: Security and Monitoring

10. X-Pack: Alerting, Graph, and Reporting

11. Best Practices

12. Case Study-Meetup

Chapter 1. Elastic Stack Overview

It's as easy to read a log file of a few MBs or hundreds as it is to keep data of this size in databases or files and still get sense out of it. But then a day comes when this data takes up terabytes, petabytes and grows even faster in future. As data demand pushes, normal text editors or word processing tools would refuse to cope up and would not be able to open such a large dataset. There would be a need to analyze the raw data which can be used to discover insights. You start to find something for huge log management, or something that can index the data properly and make sense out of it. If you Google this, you will stumble upon ELK Stack. Elasticsearch manages your data, Logstash reads the data from different sources, and Kibana makes a fine visualization of it.

Recently, ELK Stack has evolved as Elastic Stack. We will get to know more about it in this chapter, along with setting it up. The following are the points that will be covered in this chapter:

Introduction to ELK Stack
The birth of Elastic Stack
Who uses the Stack
Stack competitors
Setting up Elastic Stack
X-Pack

You have been reading a chapter from

Mastering Elastic Stack

Published in: Feb 2017

Publisher: Packt

ISBN-13: 9781786460011

© 2017 Packt Publishing Limited All Rights Reserved

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Kumar Gupta

Kumar Gupta

Ravi Kumar Gupta is an author, reviewer, and open source software evangelist. He pursued an MS degree in software system at BITS Pilani and a B.Tech at LNMIIT, Jaipur. His technological forte is portal management and development. He is currently working with Azilen Technologies, where he acts as a Technical Architect and Project Manager. His previous assignment was as a lead consultant with CIGNEX Datamatics. He was a core member of the open source group at TCS, where he started working on Liferay and other UI technologies. During his career, he has been involved in building enterprise solutions using the latest technologies with rich user interfaces and open source tools. He loves to spend time writing, learning, and discussing new technologies. His interest in search engines and that small project on crawler during college time made him a technology lover. He is one of the authors of Test-Driven JavaScript Development, Packt Publishing. He is an active member of the Liferay forum. He also writes technical articles for his blog at TechD of Computer World (http://techdc.blogspot.in). He has been a Liferay trainer at TCS and CIGNEX, where he has provided training on Liferay 5.x and 6.x versions. He was also a reviewer for Learning Bootstrap, Packt Publishing. He can be reached on Skype at kravigupta, on Twitter at @kravigupta, and on LinkedIn at https://in.linkedin.com/in/kravigupta.

See other products by Kumar Gupta

Gupta

Gupta

Rakesh Gupta is best known as an automation champion in the Salesforce ecosystem. He has written over 150 articles on Visual Workflow and Process Builder to show how someone can use Visual Workflow and Process Builder to minimize code usage. He is one of the Visual Workflow and Process Builder experts in the industry. He has trained more than 700 individual professionals around the globe and conducted corporate training. Currently, Rakesh is working as a Salesforce solution architect consultant.

See other products by Gupta

Other recommended products

Related to this chapter

Kibana 7 Quick Start Guide

Kibana 7 Quick Start Guide

Kibana is the visualization tool of the Elastic Stack, used for visualizing the results of the queries as well the dashboards generated out of the Elasticsearch and Logstash components. This book contains core concepts of Kibana with a straightforward form of chapters so that reader can move forward in a step by step manner.

Jan 2019 5h 44m

Learning Kibana 7

Learning Kibana 7

This book will introduce you to Kibana 7, and will show you how it fits into the Elastic stack. You will build a pure metric analytics architecture and visualize it using Timelion. You will also learn how to build relationships between documents using Graph visualization. You will also learn to build powerful Elastic dashboards using Kibana.

Jul 2019 9h 20m

Learning Kibana 7

Learning Kibana 7

This book will introduce you to Kibana 7, and will show you how it fits into the Elastic stack. You will build a pure metric analytics architecture and visualize it using Timelion. You will also learn how to build relationships between documents using Graph visualization. You will also learn to build powerful Elastic dashboards using Kibana.

Jul 2019 9h 20m

Learning Kibana 7

Learning Kibana 7

This book will introduce you to Kibana 7, and will show you how it fits into the Elastic stack. You will build a pure metric analytics architecture and visualize it using Timelion. You will also learn how to build relationships between documents using Graph visualization. You will also learn to build powerful Elastic dashboards using Kibana.

Jul 2019 9h 20m

Elasticsearch 7 Quick Start Guide

Elasticsearch 7 Quick Start Guide

Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.

Oct 2019 6h 12m

Elasticsearch 7 Quick Start Guide

Elasticsearch 7 Quick Start Guide

Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.

Oct 2019 6h 12m

Elasticsearch 7 Quick Start Guide

Elasticsearch 7 Quick Start Guide

Elasticsearch is one of the most popular tools for distributed search. This book will help you in understanding all about the new features of Elasticsearch 7, and how to use them efficiently for searching, aggregating and indexing data with speed and accuracy.

Oct 2019 6h 12m

Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

Dec 2017 14h 28m

Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

Dec 2017 14h 28m

Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

Dec 2017 14h 28m

Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

Dec 2017 14h 28m

Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

Dec 2017 14h 28m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m