Book Image

Kibana 7 Quick Start Guide

By : Anurag Srivastava
Book Image

Kibana 7 Quick Start Guide

By: Anurag Srivastava

Overview of this book

The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential. This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding.

Related Content you might be interested in

Current Title:

Small book image
Kibana 7 Quick Start Guide
Anurag Srivastava
Jan, 2019 | 172 pages
Small book image
Elasticsearch 7 Quick Start Guide
Douglas Miller | Anurag Srivastava
Oct, 2019 | 186 pages
Small book image
Learning Elastic Stack 6.0
Pranav Shukla | Sharath Kumar
Dec, 2017 | 434 pages
Small book image
Learning Elastic Stack 7.0
Pranav Shukla | Sharath Kumar
May, 2019 | 474 pages
Table of Contents (9 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Introducing Kibana
Introducing Kibana
Elastic Stack
Use cases of Elastic Stack
Installing Elastic Stack
Summary
2
Getting Data into Kibana
Getting Data into Kibana
Difference between Beats and Logstash
Configuring Beats to get data
Configuring Logstash to get data
Configuring index patterns in Kibana
Summary
3
Exploring Data
Exploring Data
Discover your data
Dissect Your Data
Save Your Filtered Data
Summary
4
Visualizing Data
Visualizing Data
Data visualization
Inspecting visualizations
Sharing a visualization
Dashboard
Summary
5
X-Pack with Machine Learning
X-Pack with Machine Learning
Introduction to X-Pack
Summary
6
Monitoring Applications with APM
Monitoring Applications with APM
APM components
Configure Django application with APM
Summary
7
Kibana Advanced Tools
Kibana Advanced Tools
Timelion
Use cases of Timelion
Dev Tools
Summary
8
Other Books You May Enjoy
Other Books You May Enjoy
Leave a review - let other readers know what you think

APM components

APM mainly consists of four different components, which work together to monitor the application. These components are as follows:

  • APM Agents
  • APM Server
  • Elasticsearch
  • Kibana

We can configure APM Agents as a library for an application, to send application metrics and data to the APM Server, from where data can be pushed to the Elasticsearch Cluster. Once data is pushed to Elasticsearch, we can view and analyze the data using the Kibana APM UI or Dashboard. Now, let's understand what each of these components does and how they can be configured with a different application:

In the preceding diagram, we have three APM Agents, which are sending data to a central APM Server, from where data is pushed to an Elasticsearch cluster, and then using Kibana, we can visualize and analyze this data through the APM UI or the Dashboard of Kibana.

...
Previous Section
End of Section 2
Next Section