Book Image

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 6.0

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. 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. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Table of Contents (19 chapters)
Title Page
Credits
Disclaimer
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Introduction to the application


IoT (Internet of things) 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 types of sensors have emerged in recent times for temperature, humidity, light, motion, and airflow; these can be used in different...