Elastic Stack Monitoring: ES, Kibana, Agents/Beats, Logstash

What you'll learn

Understand observability fundamentals and its role in modern systems
Explore how Elastic Stack fits into the observability ecosystem
Set up and use Elastic Stack on Elastic Cloud
Understand the architecture and working of Elasticsearch
Work with indices, documents, shards, and replicas
Perform data operations and manage index configurations
Control mappings and structure data effectively for search analytics
Query and analyse data using Elasticsearch Query DSL
Use Kibana for data exploration and analysis
Build visualizations and interactive dashboards in Kibana
Configure and use Beats for data collection
Work with Elastic Agent and Fleet for centralized management
Set up alerting, rules, and connectors in Elastic Stack
Get started with Logstash for data ingestion and transformation

Requirements

No prior experience needed
Basic Linux familiarity is helpful
An account on Elastic Cloud (14-day free trial available; paid plan required after trial)

Description

Elastic Stack is a powerful platform used for searching, analysing, and visualizing data in real time.
What's in this course?
In this course, you'll learn Elastic Stack using Elastic Cloud, which provides a fully managed environment so you can focus on learning and building instead of handling complex installations.
You'll start with observability fundamentals and understand how Elastic Stack fits into modern systems. Then, you'll move into architecture and setup, deploying your environment on Elastic Cloud. From there, you'll dive deep into Elasticsearch, learning how data is stored, indexed, and queried. You'll perform real data operations, configure indices, and control mappings for efficient search and analytics.
Next, you'll explore Kibana, where you'll analyse data, build dashboards, and create meaningful visualizations. You'll then move into data collection using Beats and Elastic Agent with Fleet, enabling centralized and scalable ingestion.
The course also covers alerting so you can proactively monitor systems, followed by an introduction to Logstash for building flexible data pipelines.
All topics are taught through real, hands-on demonstrations including troubleshooting and fixes, so you learn exactly how things work in real-world environments. By the end, you'll have a complete understanding of Elastic Stack and be able to confidently use it in real observability workflows.
Course Structure
• Concept-based lectures
• Hands-on demonstrations
Course Contents
• Observability Fundamentals
• Elastic Stack in the Observability Ecosystem
• Elastic Stack Architecture & Getting Started
• Elasticsearch Fundamentals & Core Concepts
• Elastic Stack Deployment Options
• Data Operations and Index Configuration
• REST API Fundamentals for Elasticsearch
• CRUD Operations in Elasticsearch
• Search Analytics and Mapping Control
• Kibana Fundamentals & Data Exploration
• Visualizations and Dashboards
• Beats (Filebeat and Metricbeat)
• Elastic Agent & Fleet
• Alerts in Elastic Stack
• Getting Started with Logstash
All sections of this course are demonstrated live, with the goal of encouraging enrolled users to set up their own environments, complete the exercises, and learn through hands-on experience!!

Who this course is for

Beginners who want a structured, step-by-step Elastic Stack learning path
Developers and system administrators diving deep into observability
Students who prefer practical, demo-driven learning
DevOps and cloud engineers who want real-world Elastic Stack skills

Rapidgator
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