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ELK Stack Operations

Master Elasticsearch, Logstash, Kibana, and Beats for production operations

What you'll learn

Deploy and configure production Elasticsearch clusters
Secure clusters with TLS certificates and role-based access control
Design, deploy, and manage Logstash pipelines for multiple data sources and migration use cases.
Collect logs and metrics using lightweight agents and shippers for centralized observability.
Optimize cluster performance, stability, and resource efficiency.
Manage data lifecycle, resiliency, and recovery for search and analytics clusters.
Analyze access logs to detect anomalous traffic and potential threats.
Optimize runtime configuration and system performance for stability and scale.

Course content

12 sections · 32 articles · 16h total

Prerequisites

  • Basic Linux command line knowledge
  • Docker and Docker Compose fundamentals
  • Understanding of JSON and REST APIs
Docker Engine or Docker DesktopInstall or Podman

Container runtime required for all labs in this course.

Docker ComposeInstall or Podman Compose

Multi-container orchestration used in every hands-on exercise.