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

Chapter 2. Stepping into Elasticsearch

In the previous chapter, we learned the basics of Elasticsearch, Logstash, Kibana, and Beats, and how to install and configure them to set the pipeline. We came to know the role of Elasticsearch, and the way it worked with other components of the stack. This was just the tip of the iceberg. To get a better idea of how Elasticsearch works, we need to learn about the APIs, modules, and plugins it offers. These topics are divided in two chapters.

We're going to take a deep dive into Elasticsearch in this chapter. These are the topics that we are going to cover:

  • The beginning of Elasticsearch

  • Understanding the architecture

  • Elasticsearch APIs

  • Aggregation

  • A note for painless scripting

At the end of this chapter, you should have a good idea about how to use aggregations, and the power of APIs. There will be more about Elasticsearch, which will be covered in Chapter 8, Elasticsearch APIs.