Book Image

Learning Elastic Stack 7.0 - Second Edition

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 7.0 - Second Edition

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
Table of Contents (17 chapters)
Free Chapter
1
Section 1: Introduction to Elastic Stack and Elasticsearch
4
Section 2: Analytics and Visualizing Data
10
Section 3: Elastic Stack Extensions
12
Section 4: Production and Server Infrastructure

Introduction to the application

The internet of things (IoT) has found a wide range of applications in modern times. IoT can be defined as follows:

The Internet of things (IoT) is the collective web of connected smart devices that can sense and communicate with each other by exchanging data via the Internet.

IoT devices are connected to the internet; they sense and communicate. They are equipped with different types of sensors that collect the data they observe and transmit it over the internet. This data can be stored, analyzed, and often acted upon in near-real time. The number of such connected devices is projected to rise rapidly; according to Wikipedia, there will be an estimated 30 billion connected devices by 2020. Since each device can capture the current value of a metric and transmit it over the internet, this can result in massive amounts of data.

A plethora of different...