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

Logstash Configuration for Parsing Logs


In this section, we will explore how to use Logstash to parse a file that contains different types of logs. It will utilize the knowledge gained in this chapter, which will be put into action. We will use custom created grok patterns to parse the data, as per our requirements.

Let's have a look at the data.

The log file contains millions of records with a combination of Tomcat logs and Catalina logs. The log file also contains application exceptions, errors, and stack trace messages. The log file contains log events of various log levels, such as INFO, WARN, ERROR, DEBUG, and FATAL.

Sample Catalina logs

Have a look at the following logs:

    Mar 10, 2016 10:04:37 PM org.apache.catalina.startup.Catalina load INFO: Initialization processed in 433 ms
    Mar 10, 2016 10:04:37 PM org.apache.catalina.core.StandardService startInternal INFO: Starting service Catalina

Sample Tomcat logs

Have a look at the following logs:

    2016-03-10 22:04:40,892  INFO...