Introduction

The Mastering ELK Stack course is designed for IT professionals, developers, and system administrators eager to unlock the potential of Elasticsearch, Logstash, and Kibana (ELK Stack). Through practical examples, students will delve into key concepts like Logstash pipelines, Docker-Compose configurations, and advanced debugging techniques. The course features two comprehensive case studies to solidify your knowledge by tackling real-world challenges.

Section 1: Introduction

This foundational section introduces the project, providing an overview of the course structure and its goals. It sets the stage for understanding how the ELK Stack integrates with modern data systems and lays the groundwork for subsequent modules.

Section 2: Logstash

Learn the intricacies of Logstash, the central data processing component of the ELK Stack. From exploring microservices to downloading Elasticsearch, configuring application properties, and creating a database, this section provides a hands-on approach to mastering Logstash pipelines.

Section 3: Docker-Compose

This section focuses on containerization with Docker-Compose. Students will tackle key concepts, including YAML-based DB deployment, Docker build triggers, and manual volume creation. Real-world scenarios like deploying WordPress containers and running live websites demonstrate Docker’s versatility.

Section 4: Case Studies

Apply your knowledge to real-world scenarios with two case studies. The first explores the flow of data in an ELK Stack setup, from installing the stack to visualizing service logs in Kibana. The second dives into advanced debugging, troubleshooting Logstash configurations, and showcasing the integration of additional tools like Zepkin.

Conclusion

By completing this course, you’ll gain the expertise needed to implement and troubleshoot ELK Stack setups in diverse environments. The hands-on projects and case studies will ensure you’re prepared to apply these skills in your professional endeavors.

Who this course is for:

• System administrators and DevOps engineers managing log data pipelines.
• Developers seeking to integrate ELK Stack solutions into their applications.
• IT professionals interested in learning containerization with Docker-Compose.
• Anyone looking to gain practical experience with Elasticsearch, Logstash, and Kibana.