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

Choosing the right set of hardware


The important metric to understand while installing Elastic Stack, is to know how much memory will be consumed, disk space required, maintaining proper I/O requests, how much CPU or cores are required for resource consumption, and the network among the systems. Whenever we install Elastic Stack there is always confusion on the amount of resources used by each of the component. Let us try to break the resources requirement based on the various components.

Memory

It is one of the most important parameters that affect the performance of an application. If the memory provided is lower than expected, then the application can stop, fail, or show an Out of Memory error.

Memory sizing is important as memory is used by the OS for various tasks. Hence, determining how much memory to provide to Elastic Stack components is essential such that application and OS performance do not get affected.

In the context of Elastic Stack, memory is crucial to decide if you should configure...