Each participant 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.
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.
Participants 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. Participants 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 data sets in real time.
This course is designed for Developers, IT and QA Staff, Technical Managers and DevOps personnel.
In this course, participants will:
- Give attendees a comprehensive introduction to the Elasticsearch, logstash, Kibana (ELK) opensource log management, real-time analytics and data visualization platform.
- Be prepared to begin designing, building and working with ELK stack solutions.
ELK Overview and logstash
ELK stack overview
Installing & configuring logstash
logstash inputs & filtering
Formatting & buffering logstash outputs
Installing & configuring Elasticsearch
Queries & the Elasticsearch DSL
Analyzers, mappings & indexes
Suggestions, Suggestors, Aggregations & Document Modeling
Kibana and ELK Summary
Kibana installation & configuration
Exploring Elasticsearch indexes with Kibana
Data visualization, dashboards & discovery
ELK, putting it all together