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A Step-by-Step Guide to Elastic Stack 8: Master Monitoring and Build a Production-Ready Cluster with a Hands On Project
Updated on Sep, 2026
IT and Software , Other IT and Software,
Duration - 4.5 hours
Training 5 or more people ?
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Welcome to the "Elastic 8 Project: Monitoring with Elasticsearch & Kibana" course. This course serves as a comprehensive guide to mastering the Elastic Stack, a powerful suite of tools designed for real-time data searching, logging, and analytics. This course is structured to cater to both beginners and experienced professionals who seek to deepen their understanding and practical skills in Elastic Stack components.
The course begins with an introduction to the Elastic Stack, providing an overview of its components and potential use cases. This foundational knowledge sets the stage for a more in-depth exploration of Elasticsearch, the heart of the Elastic Stack. Students learn about data ingestion, document indexing, and essential CRUD (Create, Read, Update, Delete) operations. Special attention is given to data modelling, mapping, and the intricacies of analysers, tokenisers, and filters.
Practical labs, such as installing and configuring Elasticsearch, are integral to the learning experience. These hands-on sessions ensure that students can apply their theoretical knowledge in real-world scenarios. The course also covers Beats, specifically Metricbeat, including its installation and configuration, accompanied by a lab and slide overviews for a comprehensive understanding.
The Kibana module introduces students to this powerful data visualisation tool. It includes steps for installation, basic configuration, and creating dashboards. This section is pivotal for students to learn how to visualise and analyse data effectively, illustrated through examples like visualising VM metrics.
Security in the Elastic Stack is another critical aspect covered in this course. It addresses Elasticsearch security, including practical steps to enable it and enrol Kibana with security features. Role-Based Access Control (RBAC) is explored, teaching students how to create users and assign roles, ensuring data protection and compliance.
The latter part of the course delves into monitoring and observability. It provides insights into cluster monitoring, health stats, and using Metricbeat for monitoring Elasticsearch. A unique feature is the inclusion of real-time infrastructure monitoring using Elastic Observability and a hands-on project that guides students through deploying a production-ready Elastic cluster.
Overall, this course offers a blend of theoretical knowledge and practical skills, making it ideal for anyone looking to master Elastic Stack for monitoring, logging, and alerting in a real-world environment.
Operating System Knowledge: Comfort with using either Windows, Linux, or macOS, as the course may involve installation and configuration tasks
Basic Command Line Skills: Ability to use the command line or terminal for executing simple commands
Computer System: A computer with sufficient RAM (at least 8GB recommended) and processing power to install and run Elastic Stack components
A Learning Mindset: Eagerness to learn and experiment with new technologies
Check out the detailed breakdown of what’s inside the course
I'm M Khalil, I am a DevOps Engineer with a passion for teaching. I started in the IT field by learning the Linux Operating System and I've been involved with Linux for many years. My first job was a Linux Administrator and I've moved all the way across several roles until I became a DevOps Engineer. I've helped hundreds of thousands of students learn Linux Administration and learn other IT topics.
I spend most of my time researching how to make learning Linux and other IT topics simple and make hard concepts easy to understand. I apply everything I discover into my courses. In my courses, you'll find lots of explanations and I always make sure everything is easy to understand.
I'll be there for you every step of the way to make sure you understand everything.
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