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ELK Stack

Course Details
Code: CN1-ELK
Tuition (USD): $2,400.00 • Classroom (3 days)

This intensive three-day hands on course is designed to help working technology professionals master the essential aspects and operations of the ELK stack. The course covers all of the key concepts necessary to deploy and use a production ELK stack solution. Attendees will learn how to integrate data from a myriad of sources, including application containers, using the logstash data collection and filtering engine. The course goes on to detail the process of aggregating and analyzing real-time data using Elasticsearch’s highly available schema-less platform. Students will then gain experience with the integrated Kibana data visualization solution. The course includes 12 hands-on labs to give students practical experience with each element of the ELK stack. Attendees will leave with a clear understanding of the ELK stack and how to use it to extract high value data insights over large scale streaming datasets in real time.

Skills Gained

  • This course is designed to give attendees a comprehensive introduction to the Elasticsearch, logstash, Kibana (ELK) open source log management, real-time analytics and data visualization platform. Upon completion attendees will be prepared to begin designing, building and working with ELK stack solutions.

Who Can Benefit

  • Developers, IT and QA Staff, Technical Managers and DevOps personnel


  • Each attendee must provide their own laptop with the ability to run a 64 bit virtual machine. Unconstrained internet access is also required to complete the labs.

Course Details

ELK Stack

  • Day 1 - ELK Overview and logstash
  1. ELK stack overview
  2. Installing & configuring logstash
  3. logstash inputs & filtering
  4. Formatting & buffering logstash outputs
  • Day 2 - Elasticsearch
  1. Installing & configuring Elasticsearch
  2. Queries & the Elasticsearch DSL
  3. Analyzers, mappings & indexes
  4. Suggestions, Suggestors, Aggregations & Document Modeling
  • Day 3 - Kibana and ELK Summary
  1. Kibana installation & configuration
  2. Exploring Elasticsearch indexes with Kibana
  3. Data visualization, dashboards & discovery
  4. ELK, putting it all together
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