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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
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Mastering Elastic Stack

Mastering Elastic Stack

1 (1)
By: Kumar Gupta, 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 (13 chapters)
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Beats in action with Elastic Stack


After learning about the various kinds of beats, their functionality, and the information provided, we will learn about how to get started with Beats in order to use it along with Elastic Stack. We will cover the following use cases, showcasing an end-to-end flow for the following cases:

  • Using Metricbeat to directly send data to Logstash, which will process and store logs in Elasticsearch so that they can then be visualized in Kibana

  • Using Elasticbeat to index data in Elasticsearch and visualize it using Kibana

In this section, you will understand how to get started with simple processing and how to connect multiple components with ease. The objective of this section is not to show you the powerful processing capabilities of Logstash, or how Beats will optimize performance across various systems; it is just to show you how we can connect multiple components so that data flows from each component, and we can corelate the input from Beats to visualize the output...

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