Advanced Elasticsearch and Kibana Administration Training Course

The Elastic Stack (ELK) serves as a robust platform for the real-time search, analysis, and visualization of log data derived from diverse sources.

Designed for intermediate-level IT professionals, this instructor-led live training (available online or on-site) focuses on deepening ELK expertise in managing distributed log data, automating alerts, and developing sophisticated visualizations and dashboards.

Upon completion of this course, participants will be equipped to:

• Configure advanced ingestion and parsing workflows from multiple sources, including databases.
• Develop customized Kibana dashboards tailored for specific teams or use cases.
• Implement email notifications and condition-based alerting systems.
• Leverage regular expressions to enhance search precision within logs.
• Manage user roles and access permissions to maintain secure log environments.
• Utilize the Elasticsearch REST API for automation and integration purposes.

Course Delivery Format

• Interactive lectures and facilitated discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• Please contact us to discuss requirements if you wish to tailor this training to your specific needs.

This live, instructor-led session in Denmark (online or on-site) is designed for entry-level IT specialists and developers aiming to utilize Elasticsearch for real-time data storage, search, and analysis.

By the end of the training, attendees will be able to: set up and configure Elasticsearch, perform data indexing and querying, enhance search efficiency, and embed Elasticsearch into their applications.

This live, instructor-led training, offered in Denmark (online or on-site), targets advanced professionals aiming to effectively administer, monitor, and maintain Elasticsearch clusters for peak performance and availability.

Upon completion, participants will be capable of:

• Setting up and configuring Elasticsearch clusters to ensure high availability and performance.
• Monitoring and optimizing Elasticsearch operations.
• Utilizing Kibana and Logstash for advanced analytics and visualization.
• Extending Elasticsearch functionality via plugins.
• Scaling Elasticsearch through clustering and sharding techniques.

Designed specifically for software developers, this instructor-led, live training held in Denmark focuses on constructing robust search and analytics capabilities using Elasticsearch.

The curriculum begins by exploring the internal architecture of Elasticsearch, covering its distributed model and search API. It then transitions into a detailed examination of the platform's core functionalities and strategies for seamlessly integrating it into existing application ecosystems.

Practical, hands-on exercises form a central component of the course. These sessions allow participants to apply their theoretical knowledge in real-time scenarios while receiving direct feedback on their implementation strategies and progress.

This live, instructor-led training is conducted in Denmark and is tailored for system administrators intending to set up an ELK stack (Elasticsearch, Logstash, Kibana). Please note that a minimum of three delegates is required for this course to take place.

The session starts with an examination of ELK architecture and capabilities, followed by live lab work and practical exercises. Hands-on tasks are a crucial element of the training, providing participants with the opportunity to implement their learning while gaining insights into their performance.