• Online, Self-Paced
Course Description

In this course, you'll learn how to set up various components to build scalable ELK Stacks for analytics and monitoring.

Learning Objectives

Working with the ELK Stack

  • start the course
  • describe data storage methodologies and NoSQL
  • describe Elasticsearch, Logstash, and Kibana and list the components of ELK
  • recall the capabilities of ELK

Understanding ELK Architecture

  • install and configure Elasticsearch on Windows
  • describe the architectural concepts of Elasticsearch clusters and nodes

Working with Indexes and Shards

  • describe concept of indexes and sharding
  • install and work with multinode Elasticsearch, including master and data nodes
  • configure Elasticsearch clusters for storage reliability

Managing Elasticsearch Availability

  • manage Elasticsearch plugins for better cluster management and feature sets
  • define the concept of scalability design and capacity planning in Elasticsearch
  • work with monitoring options and guidelines for cluster monitoring
  • describe concepts of structured and unstructured data management in Elasticsearch

Practice: ELK Single-node Configuration

  • configure single-node Elasticsearch and Kibana

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.