Logstash Training in Tashkent

The Elastic Stack (ELK) is a powerful platform designed for real-time searching, analysis, and visualization of log data from multiple sources.

This instructor-led, live training (available online or on-site) is tailored for intermediate-level IT professionals seeking to deepen their ELK expertise in managing distributed log data, automating alerts, and developing advanced visualizations and dashboards.

Upon completion of this training, participants will be able to:

• Configure advanced ingestion and parsing workflows from diverse sources, including databases.
• Develop custom Kibana dashboards tailored to specific teams or use cases.
• Implement email notifications and condition-based alerting mechanisms.
• Leverage regular expressions to enhance search precision within log data.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration purposes.

Course Format

• Interactive lectures and group discussions.
• Extensive hands-on exercises and practical sessions.
• Live implementation in a dedicated lab environment.

Course Customization Options

• To request a customized version of this training, please contact us to arrange a tailored session.

This instructor-led, live training in Tashkent is designed for system administrators who want to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of 3 participants is required for the course to proceed.

The session starts with an overview of ELK architecture and functionality, then transitions to live lab implementation and practice. Hands-on exercises are a vital part of the training, enabling participants to apply their knowledge while getting feedback on their progress.

The Elastic Stack, previously known as the ELK Stack, is a complete suite of open-source tools created for searching, analyzing, and visualizing both structured and unstructured data. This training program is designed to give participants a thorough understanding of the Elastic Stack's core components: Elasticsearch, Kibana, and Logstash. The curriculum explores foundational concepts, installation and configuration procedures, cluster management, advanced analytics techniques, and best practices for production environments.

The course is organized to offer both theoretical knowledge and practical experience, making it ideal for professionals aiming to deploy, manage, and optimize the Elastic Stack in real-world scenarios. Upon completion, participants will possess the necessary skills to design, implement, and maintain scalable and resilient Elastic Stack solutions.