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 Logstash


Logstash started as a brainchild project of Jordan Sissel, who has a background in operations and system administration. He was always challenged to find insights from logs. Once, he wanted to stream a large number of logs per second, however, he was unable to find a suitable free tool or project fit for his use case. At that time, he took the challenge into his hands and started building Logstash to provide a tool for users to handle the streaming of large numbers of logs per second; and combined it with powerful functionalities to fetch relevant information from the logs. One of the premises of Logstash was to build a centralized system to gather logs from multiple systems so that managing logs from multiple sources became easy for further processing and aggregating the logs.

Logstash started as an individual product but later, as Elasticsearch was growing, Jordan Sissel joined Elastic. to develop Logstash actively. Since then, there has been no looking back, as...