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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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Understanding your use case

This is the basic level of information that everyone should know before even thinking about the best practices or using Elastic Stack. If you learn about Elastic Stack and without thinking about your use case, you start to connect or process random data, then you will not be able to deduce proper information as required. You will always remain stranded when asked why you chose this or why not another software or tool. Hence, it becomes immensely important to understand your use case beforehand.

Your use-case primarily answers a lot of questions regarding the components to be used, the criticality of logging data flowing in, requirement of high availability clusters, and a need for centralized logging system. If your use-case comprises of analyzing the logs of an application, then you can make a decision accordingly about whether you need a single elasticsearch cluster, or if you need to create a centralized logging system.

One of the biggest questions that arises...

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