Advanced Elasticsearch and Kibana Administration Training Course

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

This instructor-led live training (available online or onsite) targets intermediate-level IT professionals eager to enhance their ELK proficiency. The course focuses on managing distributed log data, automating alert systems, and building sophisticated visualizations and dashboards.

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

• Set up complex ingestion and parsing workflows from various sources, including databases.
• Develop tailored Kibana dashboards to suit specific teams or operational scenarios.
• Establish email notifications and condition-driven alerts.
• Leverage regular expressions to enhance search accuracy within logs.
• Administer user roles and access permissions to ensure a secure logging environment.
• Utilize the Elasticsearch REST API for automation and seamless integration.

Course Format

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

Course Customization Options

• To arrange a customized training session for this course, please get in touch with us.

This instructor-led live training in Romania (online or on-site) is designed for beginner-level IT professionals and developers who wish to utilize Elasticsearch for real-time data storage, search, and analysis.

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 Romania (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 Romania 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 Romania is tailored for system administrators aiming to implement an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of three participants is required for the course to proceed.

The training initiates with a discussion on ELK architecture and functionality, progressing to live lab implementation and practice. Hands-on exercises constitute a vital part of the curriculum, offering participants the opportunity to apply their skills while getting feedback on their progress.

This training introduces Kibana to the users of Elasticsearch.

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

Kibana makes it easy to understand large volumes of data. Its simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.