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

Log analysis challenges

Logs are defined as records of incidents or observations. Logs are generated by a wide variety of resources, such as systems, applications, devices, humans, and so on. A log is typically made of two things; that is, a timestamp (the time the event was generated) and data (the information related to the event):

Log = Timestamp + Data

Logs are typically used for the following reasons:

  • Troubleshooting: When a bug or issue is reported, the first place to look for what might have caused the issue is the logs. For example, when looking at an exception stack trace in the logs, you may easily find the root cause of the issue.
  • To understand system/application behavior: When an application/system is running, it's like a black box, and, in order to investigate or understand what's happening within the system/application, you have to rely on logs. For example...