Book Image

Learning Elastic Stack 6.0

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 6.0

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools for distributed search, analytics, logging, and visualization of data from medium to massive data sets. The newly released Elastic Stack 6.0 brings new features and capabilities that empower users to find unique, actionable insights through these techniques. This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. After a quick overview of the newly introduced features in Elastic Stack 6.0, you’ll learn how to set up the stack by installing the tools, and see their basic configurations. Then it shows you how to use Elasticsearch for distributed searching and analytics, along with Logstash for logging, and Kibana for data visualization. It also demonstrates the creation of custom plugins using Kibana and Beats. You’ll find out about Elastic X-Pack, a useful extension for effective security and monitoring. We also provide useful tips on how to use the Elastic Cloud and deploy the Elastic Stack in production environments. On completing this book, you’ll have a solid foundational knowledge of the basic Elastic Stack functionalities. You’ll also have a good understanding of the role of each component in the stack to solve different data processing problems.
Table of Contents (19 chapters)
Title Page
Credits
Disclaimer
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Summary


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 like 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.

Equipped with all these techniques, we will build a sensor data analytics application in the next chapter, Chapter 10, Building...