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

Running Elastic Stack in Production

In our quest to learn Elastic Stack, we have covered good ground and have a solid footing in all of its components. We have a solid foundation of the core Elasticsearch with its search and analytics capabilities, and we have covered how to effectively use Logstash and Kibana to build a powerful platform that can deliver analytics on big data. We have also seen how X-Pack makes it easy to secure and monitor big data, generate alerts, and perform graph analysis and machine learning.

Taking the Elastic Stack components to production requires that you are aware of some common pitfalls, patterns, and strategies that can help you run your solution smoothly in production. In this chapter, we will see some common patterns, tips, and tricks to run Elasticsearch, Logstash, Kibana, and other components in production.

We will start with Elasticsearch and...