Book Image

Mastering Elastic Stack

By : Ravi Kumar Gupta, Yuvraj Gupta
Book Image

Mastering Elastic Stack

By: Ravi Kumar Gupta, Yuvraj Gupta

Overview of this book

Even structured data is useless if it can’t help you to take strategic decisions and improve existing system. If you love to play with data, or your job requires you to process custom log formats, design a scalable analysis system, and manage logs to do real-time data analysis, this book is your one-stop solution. By combining the massively popular Elasticsearch, Logstash, Beats, and Kibana, elastic.co has advanced the end-to-end stack that delivers actionable insights in real time from almost any type of structured or unstructured data source. If your job requires you to process custom log formats, design a scalable analysis system, explore a variety of data, and manage logs, this book is your one-stop solution. You will learn how to create real-time dashboards and how to manage the life cycle of logs in detail through real-life scenarios. This book brushes up your basic knowledge on implementing the Elastic Stack and then dives deeper into complex and advanced implementations of the Elastic Stack. We’ll help you to solve data analytics challenges using the Elastic Stack and provide practical steps on centralized logging and real-time analytics with the Elastic Stack in production. You will get to grip with advanced techniques for log analysis and visualization. Newly announced features such as Beats and X-Pack are also covered in detail with examples. Toward the end, you will see how to use the Elastic stack for real-world case studies and we’ll show you some best practices and troubleshooting techniques for the Elastic Stack.
Table of Contents (19 chapters)
Mastering Elastic Stack
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Summary


In the chapter, we learned about Beats which is the newest addition to the Elastic Stack. We covered the basic premises for why Beats was developed or came into existence along with differentiating Beats with Logstash. We explored the role of Beats in Elastic Stack and the importance of Beats for extending former ELK Stack. Later, we explored the different kind of Beats available with an explanation of the Beats, their functionalities, roles, and the configuration options provided. Also how to install and configure the Beats were detailed in this chapter. At the end of the chapter, we covered the example of how Beats can be used in Elastic Stack.

In the next chapter, we will cover a real-time production-like environment wherein we will be solving a particular problem statement. We will explore how Elastic Stack comes to the rescue of the problem statement and will showcase the powerful capabilities of Elastic Stack.