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

Hosting Elastic Stack on your own

Hosting Elastic Stack on your own, that is, self-hosting Elastic Stack, requires you to install, configure, and manage Elasticsearch and your other Elastic Stack products. This can be done in one of two ways:

  • Self-hosting on-premise
  • Self-hosting on a cloud

Regardless of whether you run Elastic Stack on-premise (in your own data center) or run it on one of the cloud providers, such as AWS, Azure, or GCE, there are some common aspects that you should take into consideration. While self-hosting, you will be faced with the following choices:

  • Selecting hardware
  • Selecting the operating system
  • Configuring Elasticsearch nodes
  • Managing and monitoring Elasticsearch nodes
  • Special considerations while self-hosting on a cloud

Except for the last item, which is applicable only if you are self-hosting on a cloud, the others are equally applicable for cloud...