ELK Stack

Course Overview

This 3-day, instructor-led course teaches participants how to deploy, manage, and optimize the Elastic Stack (Elasticsearch, Logstash, Kibana) for real-time analytics and observability. Students will learn to build scalable data pipelines, create advanced dashboards, secure deployments, and extend functionality through custom plugins. Hands-on exercises and real-world examples provide practical skills for monitoring, analyzing, and protecting modern IT environments. At the completion of this course, participants will be able to:

• Set up and configure full Elastic Stack environments.
• Build scalable data ingestion pipelines and process data efficiently.
• Create advanced Kibana dashboards for insights and monitoring.
• Implement security, high availability, and fault-tolerance strategies.
• Develop custom plugins and integrations to extend Elastic Stack capabilities.
• Deploy Elastic Stack in cloud and containerized environments.

Schedule

Prerequisites

• Basic knowledge of Linux and command-line operations.
• Familiarity with data concepts, such as databases, JSON, or structured data.
• General understanding of IT infrastructure and networking fundamentals is helpful but not required.

Intended Audience

• System Administrators and DevOps Engineers looking to implement and manage Elastic Stack deployments.
• Data Engineers and Software Developers interested in building scalable data pipelines and analytics dashboards.
• Security Analysts and IT professionals who want to leverage Elastic Stack for observability, threat detection, and compliance reporting.
• Anyone seeking practical, hands-on experience with Elasticsearch, Logstash, and Kibana in real-world enterprise scenarios.