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Keep shoppingELK Stack 9.2–9.5: Complete Beginner to Production Guide
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ELK Stack 9.2–9.5: Complete Beginner to Production Guide
Learn Elasticsearch, Kibana, Logstash, Beats, Fleet, APM, Monitoring, Alerting, and Production Deployments
Created byRohan Ramchandra Jadhav
Last updated 7/2026
English
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What you'll learn
- Deploy and configure the complete ELK Stack (Elasticsearch, Logstash, Kibana, Beats, and Elastic Agent) on Linux machines.
- Generate and configure self-signed SSL/TLS certificates for Elasticsearch, Kibana, Logstash, and Elastic Agents for secure communication.
- Build end-to-end log onboarding pipelines using Filebeat, Logstash, Elastic Agent, ingest pipelines, and data streams.
- Implement end-to-end metrics and observability monitoring using Elastic integrations, dashboards, alerts, and synthetic monitoring.
- Understand Elasticsearch indexing modes including classic indices, data streams, rollover indices, and lifecycle management policies.
- Learn how AI features are used in Elastic for anomaly detection, AI Assistant, intelligent alerting, root cause analysis, and observability insights.
- Work with AI-powered stream processing and modern Elastic observability workflows for logs, metrics, traces, and security events.
- Deploy and manage production-grade Elasticsearch clusters on Linux servers with multi-node architecture, node roles, scaling, high availability, shard allocatio
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Course content
14 sections • 37 lectures • 10h 37m total length
Requirements
- No prior programming or ELK experience is required. This course is beginner-friendly and covers everything step by step.
Description
Master the ELK Stack (Elasticsearch, Logstash, Kibana) and learn how to deploy, monitor, secure, and manage production-ready Elastic environments from the ground up.
This course is designed for beginners, system administrators, DevOps engineers, Site Reliability Engineers (SREs), monitoring engineers, support engineers, and IT professionals who want to build practical skills in log management, observability, application monitoring, and data analysis using the Elastic Stack.
Starting with the fundamentals, you will learn the architecture of the ELK Stack and understand how Elasticsearch, Kibana, Logstash, Beats, Fleet, and Elastic Agents work together to provide a complete observability platform. No prior ELK Stack experience is required.
In this course you will learn:
ELK Stack architecture and core concepts
Elasticsearch installation, configuration, and security
Kibana installation and Stack Monitoring
Filebeat, Metricbeat, and Heartbeat deployment
Log collection and processing using Logstash
CSV and JSON data ingestion pipelines
Elasticsearch Ingest Pipelines
Fleet Server and Elastic Agent management
Stream data processing and enrichment
Synthetic Monitoring and Uptime Monitoring
Application Performance Monitoring (APM)
Kibana dashboards, Discover, and Dev Tools
AI Agent Builder in Kibana
Kibana Alerts and Elasticsearch Watchers
Elasticsearch upgrade and migration strategies
Production best practices and troubleshooting techniques
By the end of this course, you will be able to deploy and manage Elastic Stack environments, collect and analyze logs, monitor infrastructure and applications, create dashboards and alerts, troubleshoot issues, and confidently operate Elasticsearch clusters in production environments.
You will also learn how to configure monitoring solutions, build observability dashboards, create alerts, analyze logs, investigate incidents, and manage Elastic deployments using modern operational practices. Every topic is explained through practical demonstrations and real-world examples to help you gain hands-on experience.
Whether your goal is to become an Elastic Engineer, DevOps Engineer, Monitoring Engineer, Site Reliability Engineer, Platform Engineer, or Observability Specialist, this course will provide the skills needed to work with Elastic Stack in real-world production environments.
Who this course is for:
- This course is designed for beginners, DevOps Engineers, ELK Developers, Solution Engineers, Site Reliability Engineers (SREs), Linux Administrators, and IT professionals.