The ELK Stack Handbook (With OpenSearch)

You're debugging logs the hard way.

A single app on a single server is manageable. Ten servers? Fifty containers? Log files become a nightmare you can't grep your way out of.

Your current workflow at 2 AM:

$ ssh prod-server-01
$ tail -f /var/log/app.log # nothing obvious
$ ssh prod-server-02
$ grep -r "error" /var/log/ | awk '{print $5}'
# 20 minutes later... still piecing it together

The ELK Stack centralizes every log from every service into one searchable, visualizeable system. You go from reacting to incidents to proactively catching them before they happen.

What you'll learn

🏗️ ELK Architecture: How logs flow from your app through Logstash into OpenSearch and out to dashboards.

⚙️ Logstash Pipelines: Parse, filter, and enrich raw logs before they hit your index.

🔍 Query DSL & Indexing:Search across millions of log events in milliseconds.

📊 Kibana Dashboards: Build visualisations that surface patterns raw log files never could.

🔒 Security & Access Control: TLS, users, roles — features Elasticsearch charges for, free on OpenSearch.

🤖 ML-Powered Anomaly Detection: Let OpenSearch flag unusual patterns before your users notice them.

📈 Scaling OpenSearch: From a single node to a cluster that handles production traffic.

Who this course is for?

✅ Linux / DevOps Engineers: You manage servers and containers and want a proper observability stack without Elastic's licensing fees.

✅ Backend Developers: You deploy apps and want to understand what's actually happening in production when things break.

✅ SRE / Platform Engineers: You need centralised logging across microservices and want a self-hosted solution you fully control.

✅ Teams Migrating Off Elastic: You're moving away from paid tiers and want to get up to speed on OpenSearch fast.

Start learning today

Stop reacting. Start observing.

Everything you need to build a production-grade observability stack. Free, open source, and ready to deploy.

Included with Linux Handbook Pro.