Open Source/ELK Master Class - Elasticsearch, Beats, Logstash and Kibana

ELK Master Class - Elasticsearch, Beats, Logstash and Kibana Certification Training Course Overview

Enroll for 4-day ELK Master Class - Elasticsearch, Beats, Logstash and Kibana course from Koenig Solutions. The ELK Stack is a collection of three open-source products – Elasticsearch, Logstash, and Kibana – all developed, managed and maintained by Elastic. Elastic has created an end-to-end stack that delivers actionable insights in real time from almost any type of structured and unstructured data source. ELK Stack is mostly use for business intelligence, security and compliance, and web analytics.

ELK Master Class includes :

  • The Elasticsearch is a NoSQL database based on the Lucene search engine.
  • Logstash is a registry pipeline tool that accepts entries from various sources, performs different transformations and exports the data to several destinations.
  • Kibana is a visualization layer that works at the top of the Elasticsearch. The stack also includes a family of record senders called Beats, which led Elastic to rename ELK as Static Static.

Target Audience:

  • Mobile Developers
  • Software Architects
  • IT Engineers and Developers
  • IT Administrators
  • Web Application Developers

 

Test your current knowledge Qubits42

ELK Master Class - Elasticsearch, Beats, Logstash and Kibana (32 Hours) Download Course Contents

Live Virtual Classroom Fee On Request
Group Training
18 - 21 Oct 09:00 AM - 05:00 PM CST
(8 Hours/Day)

01 - 04 Nov 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 09 Dec 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Special Solutions for Corporate Clients! Click here
Hire Our Trainers! Click here

Course Modules

Module 1: ELK Stack
  • Course Overview
  • Introduction to Stack
  • Stack Components
  • Stack Architecture
  • Use Cases
  • Advantages and Disadvantages
Module 2: Installation and Configuraion
  • Pre-requisites
  • Elasticsearch Installation
  • Kibana Installation
  • Logstash Installation
  • Beats Installation
  • Verify Installation
Module 3: Elasticsearch
  • Introduction to Elastic Search
  • Elasticsearch Fundamentals
  • Elasticsearch Architecture
  • Elasticsearch REST APIs
  • Types of APIs
  • Document APIs
  • Index APIs
  • Search APIs
  • Cluster APIs
  • Aggregation APIs
  • Query DSL
  • Elasticsearch Queries
  • Managing and Monitoring Elasticsearch Cluster
Module 4: Kibana
  • Introduction to Kibana
  • Kibana Fundamentals
  • Kibana Search
  • Kibana Visualizations
  • Kibana Dashboards
  • Kibana Management
  • Alerting Using Watcher
Module 5: Logstash
  • Introduction to Logstash
  • Logstash Plugins
  • Input Plugins
  • Output Plugins
  • Filter Plugins
  • Setup Logstash Pipeline for Ingestion of Data into Elasticsearch
  • Queue Management at Logstash
Module 6: Beats
  • Introduction to Beats
  • Beats Use-cases
  • Filebeat
  • Setup Filebeat for Shipping Logs from Client to Elastic Cluster
Download Course Contents

Request More Information

Course Prerequisites
  • Basic Linux Knowledge