Book Image

Learning Elastic Stack 7.0 - Second Edition

By : Pranav Shukla, Sharath Kumar M N
Book Image

Learning Elastic Stack 7.0 - Second Edition

By: Pranav Shukla, Sharath Kumar M N

Overview of this book

The Elastic Stack is a powerful combination of tools that help in performing distributed search, analytics, logging, and visualization of data. Elastic Stack 7.0 encompasses new features and capabilities that will enable you to find unique insights into analytics using these techniques. This book will give you a fundamental understanding of what the stack is all about, and guide you in using it efficiently to build powerful real-time data processing applications. The first few sections of the book will help you understand how to set up the stack by installing tools and exploring their basic configurations. You’ll then get up to speed with using Elasticsearch for distributed search and analytics, Logstash for logging, and Kibana for data visualization. As you work through the book, you will discover the technique of creating custom plugins using Kibana and Beats. This is followed by coverage of the Elastic X-Pack, a useful extension for effective security and monitoring. You’ll also find helpful tips on how to use Elastic Cloud and deploy Elastic Stack in production environments. By the end of this book, you’ll be well-versed with fundamental Elastic Stack functionalities and the role of each component in the stack to solve different data processing problems.
Table of Contents (17 chapters)
Free Chapter
Section 1: Introduction to Elastic Stack and Elasticsearch
Section 2: Analytics and Visualizing Data
Section 3: Elastic Stack Extensions
Section 4: Production and Server Infrastructure

Analyzing Log Data

Logs contain rich information about the state and behavior of a system or an application. Each system/application generates logs whenever an event occurs, and the frequency, amount of information, and format of the information it logs varies from one system/application to another. With so much information at our disposal, collecting it, extracting the relevant information from it, and analyzing it in near real time can be a daunting task.

In the previous chapters, we have already explored how Elasticsearch, with its rich aggregation features, assists in analyzing huge amounts of data in near real time. Before analysis can be performed, we need a tool that can assist/ease the process of collecting logs, extracting the relevant information from them, and pushing them to Elasticsearch.

In this chapter, we will be exploring Logstash, another key component of the...