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
Section 1: Introduction to Elastic Stack and Elasticsearch
Section 2: Analytics and Visualizing Data
Section 3: Elastic Stack Extensions
Section 4: Production and Server Infrastructure

Introducing Elastic Stack

The emergence of the web, mobiles, social networks, blogs, and photo sharing has created a massive amount of data in recent years. These new data sources create information that cannot be handled using traditional data storage technology, typically relational databases. As an application developer or business intelligence developer, your job is to fulfill the search and analytics needs of the application.

A number of data stores, capable of big data scale, have emerged in the last few years. These include Hadoop ecosystem projects, several NoSQL databases, and search and analytics engines such as Elasticsearch.

The Elastic Stack is a rich ecosystem of components serving as a full search and analytics stack. The main components of the Elastic Stack are Kibana, Logstash, Beats, X-Pack, and Elasticsearch.

Elasticsearch is at the heart of the Elastic Stack...