Elasticsearch 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 (available online or on-site) is designed for intermediate-level administrators and developers who want to deepen their knowledge of Elasticsearch administration. Key areas include advanced dashboard development in Kibana and effective system maintenance.

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

• Set up and configure Elasticsearch and Kibana environments for advanced administration and dashboard development.
• Create and manage Elasticsearch indices, mappings, and data models.
• Develop advanced queries and filters to extract valuable insights from Elasticsearch data.
• Design and build interactive dashboards in Kibana using various visualization types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimization, and troubleshooting.

This instructor-led, live training in Tashkent is aimed at software developers who wish to build search and analytics solutions using Elasticsearch.

The training starts with a discussion of the Elasticsearch architecture, including its distributed model and search API. This is followed by an explanation of Elasticsearch's functionality and how to best integrate it into an existing application.

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 implementation and progress.

This instructor-led, live training in Tashkent (online or in-person) is designed for entry-level IT professionals and developers who wish to use Elasticsearch to store, search, and analyze data in real time.

By the end of this training, participants will be able to install and configure Elasticsearch, index and query data, optimize search performance, and integrate Elasticsearch into applications.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level professionals who wish to administer, monitor, and maintain Elasticsearch clusters effectively for high performance and availability.

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

• Deploy and configure Elasticsearch clusters for high availability and performance.
• Monitor and optimize Elasticsearch operations.
• Integrate with Kibana and Logstash for advanced analytics and visualization.
• Extend Elasticsearch functionality with plugins.
• Scale Elasticsearch using clustering and sharding techniques.

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.

This course introduces Kibana to users of Elasticsearch.

Kibana is an open-source analytics and visualization platform designed to integrate with Elasticsearch. Through Kibana, users can search, view, and interact with data stored in Elasticsearch indices. The platform allows for easy advanced data analysis and the visualization of information using various charts, tables, and maps.

Kibana simplifies the understanding of large data volumes. Its straightforward, browser-based interface enables the rapid creation and sharing of dynamic dashboards that display real-time updates to Elasticsearch queries.