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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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Elasticsearch clients

Earlier in this chapter, we got to know that Elasticsearch nodes support both transport and HTTP protocols. Using this flexibility, Elasticsearch nodes can be managed by its client written in other programming languages. There are a number of clients to perform operations on cluster and nodes. These clients can connect to a node or cluster to manage indices, operations on documents, and make searches.

Supported clients

A few clients are supported officially by the Elasticsearch organization. These clients are basically APIs that you can utilize with your own applications written in respective programming languages. For example, if you are developing a Java web application that integrates to Elasticsearch and you want to offer managing indices through an admin panel, you can use the Java API supported by Elasticsearch to connect to the cluster and nodes and do the necessary operations. The following is a list of all supported clients by Elasticsearch:

  • Java API
  • JavaScript...

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