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Mastering Elastic Stack

Mastering Elastic Stack

By : Kumar Gupta, Gupta
1 (1)
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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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Exploring the Dashboard interface


Dashboard provides a unified view of displaying all your visualization in one place. Dashboard provides a collection of multiple visualizations or searches that can be arranged in any way and it allows the ability to resize, move, edit, or remove any visualization added to the dashboard. The dashboard provides real time insights to the streaming data as all visualizations are updated in the dashboard in real time. Updating the visualization reflects instantly across the dashboards using that visualization. Dashboard also provides the ability to use search queries that update the visualizations present in the dashboard as per the search result.

Note

For creating a dashboard, visualizations/searches need to be saved.

The Dashboard page interface typically looks like the following screenshot:

The Dashboard interface is fairly simple to understand as it displays the main Kibana header, which is the same across all pages in Kibana that contain the Time Filter.

The...

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