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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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Summary

If we talk about customization of four tools, it would take four different chapters to begin with. However, we tried to understand the ways a tool can be extended. In this chapter, we learned about extending Elasticsearch by learning how a plugin is organized and popular ways to customize.

Later in the chapter, we created a Logstash plugin, which captured data from the Openweathermap.org server and sent it to Elasticsearch. We also learned about creating a new beat with example of collecting data from the same web service. Finally, we set up the Kibana development environment and learned to create a very basic hack of changing the title of the Kibana pages by appending PACKT to it.

In the next chapter, we will be revisiting Elasticsearch and its APIs. We will learn how to access the APIs and how they are useful to us. The chapter will also introduce ingest nodes which is a new addition to Elasticsearch v5.x onwards.

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