Logstash Training in Madrid

Elastic Stack (ELK) is a powerful platform for searching, analyzing, and visualizing log data in real-time from multiple sources.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to deepen their ELK expertise for managing distributed log data, automating alerts, and creating advanced visualizations and dashboards.

By the end of this training, participants will be able to:

• Configure advanced ingestion and parsing flows from multiple sources including databases.
• Create customized Kibana dashboards for different teams or use cases.
• Implement email notifications and condition-based alerts.
• Use regular expressions to improve search precision in logs.
• Manage user roles and access rights for secure log environments.
• Interact with the Elasticsearch REST API for automation and integration.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Madrid is aimed at system administrators who wish to set up an ELK stack (Elasticsearch, Logstash, Kibana). Note that a minimum of 3 delegates is needed for this course to run.

The training starts with a discussion of ELK architecture and functionality, then moves on to live lab implementation and practice. Hands-on exercises make up an important part of the training and give participants a chance to put into practice their knowledge while receiving feedback on their progress.

The Elastic Stack (formerly ELK Stack) is a comprehensive suite of open-source tools designed for search, analytics, and visualization of structured and unstructured data. This training program is tailored to equip participants with a deep understanding of Elastic Stack components—Elasticsearch, Kibana, Logstash. The course will cover foundational concepts, installation, configuration, cluster management, advanced analytics, and production best practices. The course is structured to provide both theoretical insights and hands-on experience, making it suitable for professionals seeking to deploy, manage, and optimize Elastic Stack in real-world environments. By the end of the course, participants will have the skills to design, implement, and maintain scalable and resilient Elastic Stack solutions.