Kibana Visualization Beginner To Pro (Elk & Elasticsearch)

Learn visualization creation & analysis with Kibana & the power of ELK stack (ElasticSearch, Logstash…) Get promotion!

What you'll learn

Learn advanced knowledge about Kibana GUI and how to use Kibana's features to analyze data

Create & read advanced graphs & charts

Overview, installation and basic use of the entire ELK stack (ElasticSearch, Logstash & Kibana)

How to use Kibana Visualizations and Dashboards

Basic conce­pts and terminology of Elasticsearch

Installation of Elasticsearch and Kibana

Live demonstrations

Lab exercises to test your skills

Requirements

Basic Linux and REST API knowledge

Description

COURSE OBJECTIVE  The primary objective of this course is to help students and beginners to learn all the various GUI options of Kibana . In this course, you will learn :How to create and read advanced graphs and charts with Kibana VisualizationsHow to install Kibana How to create and manage Kibana index patterns ELK stack fundamentalsHow to use Kibana Search Filters to get require data How to use Kibana Visualizations and to create dashboardsYou will also get an overview of how to interact with Elasticsearch by using Console and how to use Timelion to do time series analysis of data. In addition to this, I have added a separate section of an Elasticsearch which helps students to understand basics of an Elasticsearch such as its features, Terms and Aggregations along with its Installation procedure. To help students for understanding how the data indexing is happened in Elasticsearch, I have added lecture which contain overview of preconfigured Logstash configuration file. Along with theory part, I have covered practical stuffs performed in the demo machine so that students can try out and understand various course topics better.  WHAT IS KIBANA?Kibana is data exploration and analytics tool of ELK stack. ELK stack is Log Management Platform and a collection of three open-source products Elasticsearch, Logstash and Kibana. All three products are maintained by Elastic Company Company. Elasticsearch is a NoSQL database; Logstash is a log pipeline tool used to export normalized data to Elasticsearch and Kibana is a visualization layer that works on the top of Elasticsearch.Kibana seamlessly integrates with Elasticsearch and provides very effective Visualizations options such as charts, maps, data tables, metric etc. to visualize data. It can be used as handy web interface to setup various business use cases such as Logs and Time series analysis of data, Application monitoring, Business intelligence, Anomaly Detection, Operations intelligence etc.  Data indexing is done by Elasticsearch itself and through Kibana you can visualize it.Even if you have multiple indices in your single Elasticsearch instance, Kibana can work with them seamlessly.  TOP 3 BENEFITS OF USING LEARNING KIBANA1. Powerful Visualization Capabilities: Kibana is a powerful visualisation tool that is integrated with Elasticsearch and allows you to create meaningful graphs and charts by making full use of Elasticsearch’s aggregation functionality. By using Kibana Visualizations, it will be very easier for you to lookup connections and correlations between data. Furthermore, you can create Dashboards to put all required visualizations at once to perform statistical analysis of data. 2. Time Series Analysis of Data and Development Tools : You can use Timelion to perform time series analysis on your Elasticsearch data. You can use its powerful and simple functions to search and visualize data. By using development tools, you can directly interact with Elasticsearch through its powerful but simple REST API and process indexed data.  3. Huge Demand:  ELK stack is a technology through which you can setup variety of use cases of data mining such as log analytics, monitoring systems activity, anomaly detection etc. Due to its various capabilities, there is high demand for log analysis for each service and find where problem happens.  FREQUENTLY ASKED QUESTIONS Will it be required having prior knowledge of Elasticsearch to enroll in this course? No. this course covers a separate section of Elasticsearch which contains basic overview and some important fundamentals of Elasticsearch. Who are you? My Name is Shubham Shah.  I am having 5 years on an experience in Network and Information Security domain in India. I am working as an analyst in Security Operations Center. I am having great experience in Log and Event management, UTM and SIEM device Management, Vulnerability Management, Linux Administration, Open Source Threat Intelligence and Many more.  GUARANTEEIf within 30 days of buying the course you decide that it's not for you, please get a Udemy-backed refund. No questions asked — just press the refund button, and all of your money will be returned to your credit card.   ARE YOU READY TO LEARN KIBANA?Please press the "Take This Course" button and start learning 2 minutes from now!

Overview

Section 1: ELK Introduction

Lecture 1 What is ELK stack?

Section 2: Elasticsearch

Lecture 2 What is Elasticsearch?

Lecture 3 Understanding of basic Elasticsearch Terms

Lecture 4 Installing Elasticsearch

Lecture 5 Configuration and Testing

Section 3: Kibana

Lecture 6 What is Kibana?

Lecture 7 Installing Kibana

Lecture 8 Configurations and Testing

Lecture 9 Accessing and Securing Kibana

Lecture 10 Getting Data in Kibana

Section 4: Interacting with Kibana GUI

Lecture 11 Introduction to Kibana GUI

Lecture 12 Index Patterns

Lecture 13 Data Discovery

Lecture 14 Dashboards

Lecture 15 Interacting with Console

Lecture 16 Timelion

Lecture 17 Some Practical Uses of ELK stack

Section 5: Visualizations

Lecture 18 Visualization - Elasticsearch Aggregations

Lecture 19 Introduction to Kibana Visualizations

Lecture 20 Area chart

Lecture 21 Heat Map

Lecture 22 Bar Chart

Lecture 23 Line chart

Lecture 24 Pie Chart

Lecture 25 Data Table

Lecture 26 Gauge

Lecture 27 Goal

Lecture 28 Metric

Lecture 29 Coordinate Map

Lecture 30 Region Map

Lecture 31 Controls

Lecture 32 Markdown

Lecture 33 Tag Cloud

Section 6: LAB Exercise

Lecture 34 Lab Setup

Section 7: Conclusion

Lecture 35 Conclusion

Lecture 36 Bonus Lecture

Anyone who wants to learn how to use Kibana (ELK stack) to create advanced visualizations (graphs and charts) and how to use Kibana for data exploration & analysis