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 modules


Every great project has a number of modules to support what it offers. Elasticsearch has many such modules. These modules need some settings, either static using elasticsearch.yml or dynamic settings, which can be updated using the cluster API. Let's look at different modules.

Cluster module

The cluster module decides how the shards are allocated to nodes and takes care of the movement of shards in order to keep the cluster balanced. This process is known as shard allocation. There are a number of settings for this module, which can be dynamically applied using the cluster API. These settings take care of shard allocation among nodes in a cluster as well as within a node.

Discovery module

The discovery module helps to discover the nodes in the network for a specified cluster. In the elasticsearch.yml configuration file, there is one configuration for the cluster name, which decides which cluster this node will be part of. The default name is elasticsearch:

cluster.name ...