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

Introduction to Beats


Before learning about Beats, let's understand how Beats first came into existence. Beats was not started as a project within Elastic, the company behind the ELK Stack. It all started with the Packetbeat project, wherein they wanted access to statistics between communications among various servers, providing them information.

They wanted to develop a solution which would store data in Elasticsearch, but would not consume high memory or resources. They faced the problem of using a Logstash agent on each server from which information was required, which used JVM and consumed a lot of memory and resources. Packetbeat became popular due to its ability to provide lightweight shippers, which ship the data to Elasticsearch without consuming much memory and CPU resources. Following its popularity, Elastic acquired Packetbeat and created the Beats Platform. The Beats Platform contains a number of Beats which have been developed by Elastic; this also contains Community Beats, which...