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

REST API overview

We just looked at how to perform basic CRUD operations. Elasticsearch supports a wide variety of operation types. Some operations deal with documents, that is, creating, reading, updating, deleting, and more. Some operations provide search and aggregations, while other operations are for providing cluster-related operations, such as monitoring health. Broadly, the APIs that deal with Elasticsearch are categorized into the following types of APIs:

  • Document APIs
  • Search APIs
  • Aggregation APIs
  • Indexes APIs
  • Cluster APIs
  • cat APIs

The Elasticsearch reference documentation has documented these APIs very nicely. In this book, we will not go into the APIs down to the last detail. We will conceptually understand, with examples, how the APIs can be leveraged to get the best out of Elasticsearch and the other components of the Elastic Stack.

We will look at the search and...