Course Roadmap

What you'll deploy, configure, and operate — and who this course is for.

10m10m reading0m lab
This course is not a "what is Elasticsearch" introduction — the internet has plenty of those. It's a hands-on operations guide: you deploy real clusters, configure them correctly, secure them, feed data in, and keep them running.

The interactive walkthrough below shows exactly what you'll be doing across each phase.

What you'll do in this course
💻
you
docker compose up
▶
ES
healthy
Phase 2

Spin up your first node

Pull the Docker image, write a 20-line docker-compose.yml, run one command. Elasticsearch is up on port 9200.

Who is this course for

⚙️DevOps / Platform
  • ›Deploy and upgrade clusters without downtime
  • ›Configure ILM policies and snapshots
  • ›Tune JVM and OS settings for production
💻Backend Developer
  • ›Design mappings that fit your data model
  • ›Write match, term, bool, and range queries
  • ›Use the REST API directly — no SDK needed
🔄Data Engineer
  • ›Build Logstash pipelines from any source
  • ›Migrate data between clusters live
  • ›Connect MongoDB, S3, and Kafka
📡SRE
  • ›Read slow logs and hot thread dumps
  • ›Monitor cluster health and set alerts
  • ›Plan and test backup and recovery

What this course is not

  • A deep-dive into query DSL or search relevance tuning
  • A beginner programming course
  • Theory-heavy documentation
Every lesson follows a lab pattern: download config files, run commands, observe the result, understand what happened.

Prerequisites

You'll get the most out of this course if you're comfortable with:
  • Linux command line (navigate, edit files, run commands)
  • Docker and Docker Compose (pull images, run containers)
  • Basic JSON (read and write key-value structures)
  • REST APIs (what a curl -X GET does)

Next Steps

Discussion