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


In this chapter, we have seen essential techniques necessary to take your next Elastic Stack application to production. We have seen various deployment options, including cloud-based and on-premise. We have seen how to use a managed cloud service provider such as Elastic Cloud and have also covered how to self-host Elastic Stack. We have covered some common concerns and decision choices that you will face, whether you self-host or use a managed cloud provider.

Additionally, we have seen various techniques useful in a production-grade Elastic Stack deployment. These include the usage of index aliases, index templates, and modeling time-series data. This is definitely not a comprehensive guide covering all the nuances of running Elastic Stack in production, but we have definitely covered enough for you to comfortably take your next Elastic Stack project to production.