Advanced Elasticsearch and Kibana Administration Training Course

The Elastic Stack (ELK) serves as a robust platform for real-time searching, analyzing, and visualizing log data aggregated from diverse sources.

This instructor-led live training, available either online or onsite, is designed for intermediate IT professionals aiming to enhance their ELK proficiency. The curriculum focuses on managing distributed log data, automating alert mechanisms, and developing sophisticated visualizations and dashboards.

Upon completion of this training, participants will be capable of:

• Configuring complex ingestion and parsing workflows for various sources, including databases.
• Designing tailored Kibana dashboards to meet the specific needs of different teams or use cases.
• Implementing condition-based alerts and email notification systems.
• Leveraging regular expressions to enhance the precision of log searches.
• Managing user roles and access permissions to ensure secure log environments.
• Utilizing the Elasticsearch REST API to facilitate automation and integration.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For bespoke training requests, please contact us to discuss arrangements.

This instructor-led, live training in Bulgaria (online or on-site) is aimed at beginner-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 Bulgaria (online or onsite) targets advanced professionals seeking to effectively administer, monitor, and maintain Elasticsearch clusters for high performance and availability.

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

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

This instructor-led, live training in Bulgaria 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 Bulgaria is designed for system administrators who wish to deploy an ELK stack (Elasticsearch, Logstash, and Kibana). Please note that a minimum of three participants is required for the course to proceed.

The training begins with an overview of ELK architecture and functionality, then transitions into live lab implementation and practice. Hands-on exercises are a vital part of the curriculum, providing participants the opportunity to apply their knowledge while receiving feedback on their progress.

This course provides an introduction to Kibana for users of Elasticsearch.

Kibana is an open-source analytics and visualization platform designed to integrate seamlessly with Elasticsearch. It allows you to search, view, and interact with data stored in Elasticsearch indices. You can effortlessly perform advanced data analysis and visualize your information through a wide range of charts, tables, and maps.

Kibana simplifies the comprehension of large data volumes. Its intuitive, browser-based interface enables you to quickly create and share dynamic dashboards that reflect real-time changes in Elasticsearch queries.