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

Summary


This chapter concludes the Elasticsearch APIs. Being a very vast topic, not all of the APIs can be covered, but we have got the gist of how these APIs work and help us to manage the Elasticsearch cluster, nodes, and indices or even make a search for documents. When you are working with Kibana, the same things can be done using the Console. There are many REST-based clients developed for Elasticsearch for numerous languages and platforms that use http protocol and we have been learning that since Chapter 2, Stepping into Elasticsearch. This chapter also covered the other side of the story - using Transport Client with the help of the Java API.

The next chapter is going to focus on the customization of Elastic Stack using plugins. Plugins give us a good amount of control on the functionalities and we get a liberty to implement what is not present or mend what is present to make it work for us. We will be learning the way we can create new plugins and customize the stack.