Elastic 8 Project: Monitoring with Elasticsearch & Kibana

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 analyzers, tokenizers, 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 visualization tool. It includes steps for installation, basic configuration, and creating dashboards. This section is pivotal for students to learn how to visualize and analyze data effectively, illustrated through examples like visualizing 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 enroll 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.