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

Extending Kibana


When you set up Elastic Stack for your environment, you sense the needed changes in the stack to fulfill your requirements. For most of the cases, changes done at Elasticsearch are minimum as compared to rest of the components. Kibana being the face of the stack undergoes maximum changes. If nothing complex, your client (in case you are a service provider) would like to customize the UI to match their company's website look.

There are ways in which Kibana can be customized and extended-we can write Kibana plugins, create new visualizations, modify the source, and so on. To do any of these, you must be familiar with HTML, CSS, Javascript, Node.js, AngularJS, and probably relevant library to be used for charts and visualizations. Kibana is basically a Node.js app, thus knowing Node.js will help greatly to understand and customize Kibana.

In this section, we will develop a plugin that changes the appearance of the Kibana UI. For our use case, we will keep it simple and modify...