Grafana Comprehensive Training Course

This instructor-led live training, available in Denmark either online or onsite, is tailored for advanced-level DevOps and SRE professionals aiming to refine their alerting and automation capabilities using Grafana and Prometheus.

By the conclusion of this training, participants will be capable of:

• Developing and managing advanced alerting rules in Prometheus.
• Connecting Prometheus Alertmanager with external tools via webhooks.
• Accelerating issue resolution by automating alert responses.
• Utilizing Grafana to visualize and manage alerts efficiently.

This live, instructor-led session Denmark (available online or on-site) is tailored for intermediate DevOps and SRE professionals looking to develop high-impact dashboards and enhance their monitoring workflows through Grafana and Prometheus.

Once finished, participants will possess the skills to:

• Apply best practices for designing effective dashboards.
• Build and configure advanced Grafana dashboard elements.
• Use Grafana templating for creating dynamic and reusable dashboards.
• Implement alerting mechanisms to improve operational awareness.

This instructor-led, live training (online or onsite) in Denmark is designed for intermediate-level developers and DevOps engineers aiming to instrument their applications for effective custom metric exportation and monitoring via Prometheus and Grafana.

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

• Recognize the significance of custom metrics in application monitoring strategies.
• Instrument applications to publish custom metrics for Prometheus ingestion.
• Build and configure Grafana dashboards to present custom metric data.
• Adopt best practices for weaving monitoring into the development lifecycle.

This instructor-led live training, available either onsite or remotely in Denmark, is designed for data analysts looking to leverage Grafana for monitoring and data visualization.

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

• Set up the necessary development environment to create visualizations in Grafana.
• Configure Grafana for high availability.
• Customize panels and dashboards with data.
• Implement a reverse proxy for optimal loading speeds.

This instructor-led live training, conducted in Denmark (online or on-site), targets intermediate data analysts seeking to leverage the advanced features and components of Grafana for sophisticated data visualization and analysis.

By the end of the program, participants will be able to:

• Acquire a deep understanding of advanced Grafana concepts and components.
• Employ template variables and dynamic dashboards to improve data visualization.
• Perform complex queries using Grafana Query Language.
• Master best practices for scaling Grafana, performance optimization, and maintaining high availability.

This instructor-led, live training in Denmark (online or onsite) targets intermediate-level Grafana users aiming to build interactive, drill-down dashboards equipped with dynamic thresholds and contextual updates.

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

• Develop dashboards that react to user interactions, such as clicking a graph bar
• Implement visual drill-downs that update in-place (without opening new tabs)
• Configure pie charts and detailed panels based on selection filters
• Utilize dynamic thresholds that respond to user input and real-time data

This instructor-led live training, delivered Denmark either online or onsite, is tailored for entry-level IT professionals and DevOps practitioners seeking to master the basics of Grafana and Prometheus.

By the conclusion of this training, participants will be equipped to:

• Comprehend the purpose and key capabilities of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux system.
• Configure basic data sources and build dashboards in Grafana.
• Monitor system metrics and visualize data via Prometheus.

This live, instructor-led training in Denmark (delivered online or onsite) targets intermediate-level cloud and DevOps professionals seeking to strengthen cloud observability using Grafana and Prometheus.

By the conclusion of this training, learners will have the ability to:

• Appreciate the benefits of integrating Grafana and Prometheus with cloud ecosystems.
• Configure Prometheus for the supervision of cloud resources.
• Adjust Grafana settings for the visualisation of service metrics.
• Deploy cloud-native tools and integrations to support scalable monitoring.

Tailored for entry-level system administrators and DevOps engineers seeking to build core monitoring capabilities with Grafana and Prometheus, this live training session can be delivered either online or on-site in Denmark.

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

• Comprehend the significance and purpose of monitoring within IT environments.
• Install and configure Grafana and Prometheus to handle fundamental monitoring tasks.
• Construct basic dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Denmark (online or onsite) is tailored for advanced Kubernetes administrators and DevOps engineers looking to refine their monitoring capabilities using Prometheus and Grafana.

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

• Deploy Prometheus and Grafana for Kubernetes monitoring purposes.
• Observe critical metrics for pods, nodes, and services.
• Construct dynamic dashboards to visualize cluster health and performance indicators.
• Implement alerting strategies that enable proactive problem-solving.
• Apply industry best practices for scaling monitoring solutions in Kubernetes environments.

Targeted at advanced DevOps engineers and SREs, this instructor-led, live course in Denmark (online or onsite) provides the skills necessary to manage and scale Prometheus and Grafana within large-scale environments.

By the end of the session, participants will be able to:

• Build Prometheus and Grafana architectures for large-scale and distributed contexts.
• Boost Prometheus performance for high-traffic applications.
• Set up Grafana to process large datasets and complex visual elements.
• Execute advanced troubleshooting and scalability plans.