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

Elasticsearch APIs


There are many APIs available for managing Elasticsearch. These APIs help us to manage cluster, indices, search, and so on. In this section, we will look at each of these APIs in detail.

We can use these APIs through Command Prompt, Console in Kibana, or any tool that can make calls to RESTful APIs.

Note

By default, Elasticsearch runs on port 9200 to listen to HTTP requests. Kibana uses the same port to connect to Elasticsearch. To learn more about Console, refer to Chapter 4, Kibana InterfaceExploring Dev tools section.

Sense is a powerful plugin for Kibana that allows us to make calls to Elasticsearch APIs using a web interface. We will be learning about Sense in Chapter 8, Elasticsearch APIs. For this chapter, we will be using cURL, a Command Prompt utility that allows us to access HTTP requests to access the APIs.

A typical cURL request against ES contains a verb, URL, and message body:

$ curl -X{Verb} 'url' -d '{message-body}'

Verbs are GET, PUT, POST, DELETE, and HEAD...