Kibana: Essentials Training Course

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level administrators and developers who wish to deepen their understanding of Elasticsearch administration, including advanced techniques for dashboard development in Kibana, as well as 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 visualisation types and techniques.
• Implement best practices for Elasticsearch and Kibana administration, optimisation, and troubleshooting.

The Elastic Stack (ELK) is a powerful platform for searching, analysing, and visualising log data in real-time from multiple sources.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT professionals who wish to deepen their ELK expertise in managing distributed log data, automating alerts, and creating advanced visualisations and dashboards.

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

• Configure advanced ingestion and parsing flows from multiple sources, including databases.
• Create customised Kibana dashboards tailored to different teams or use cases.
• Implement email notifications and condition-based alerts.
• Use regular expressions to improve search precision in logs.
• Manage user roles and access rights to ensure secure log environments.
• Interact with the Elasticsearch REST API for automation and integration.

Course Format

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

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in New Zealand (online or on-site) is aimed at beginner-level IT professionals and developers who wish to use Elasticsearch to store, search, and analyse data in real time.

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

This instructor-led, live training in New Zealand (available online or on-site) is designed for advanced-level professionals who wish to effectively administer, monitor, and maintain Elasticsearch clusters to ensure high performance and availability.

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

• Deploy and configure Elasticsearch clusters for high availability and optimal performance.
• Monitor and fine-tune Elasticsearch operations.
• Integrate with Kibana and Logstash for advanced analytics and visualisation.
• Extend Elasticsearch capabilities through plugins.
• Scale Elasticsearch using clustering and sharding techniques.

This instructor-led, live training in New Zealand is designed for software developers who want to build search and analytics solutions using Elasticsearch.

The course begins with an exploration of Elasticsearch architecture, including its distributed model and search API. It then delves into Elasticsearch's core functionality and provides guidance on integrating it effectively into existing applications.

Practical exercises form a key component of the training, offering participants the opportunity to apply their knowledge while receiving feedback on their implementation and progress.

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

The course begins with an exploration of ELK architecture and functionality, followed by hands-on lab implementation and practical exercises. These interactive sessions form a core component of the training, allowing participants to apply their knowledge in real-time while receiving constructive feedback on their progress.