Grafana and GLPI Administration Training Course

This instructor-led, live training in Kenya (online or onsite) is designed for advanced-level DevOps and SRE professionals looking to strengthen their alerting and automation skills with Grafana and Prometheus.

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

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts to enable quicker issue resolution.
• Use Grafana to visualize and manage alerts effectively.

This instructor-led, live training held in Kenya (online or onsite) is designed for intermediate-level DevOps and SRE professionals looking to develop impactful dashboards and enhance their monitoring practices with Grafana and Prometheus.

Upon completing this training, participants will be able to:

• Understand best practices for designing effective dashboards.
• Create and configure advanced Grafana dashboard elements.
• Leverage Grafana templating for dynamic and reusable dashboards.
• Implement alerting mechanisms to enhance operational awareness.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.

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

• Understand the importance of custom metrics for application monitoring.
• Instrument applications to export custom metrics for Prometheus.
• Create and configure dashboards in Grafana to visualize custom metrics.
• Apply best practices for integrating monitoring into the development lifecycle.

This instructor-led live training, available in Kenya (either onsite or remotely), is designed for data analysts looking to leverage Grafana for monitoring and visualising their data.

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

• Configure the essential development environment to begin creating visualizations in Grafana.
• Deploy Grafana with high availability standards.
• Tailor panels and dashboards using various data sources.
• Set up a reverse proxy to optimise loading performance.

This instructor-led, live training in Kenya (available online or onsite) is designed for intermediate-level data analysts who wish to learn and apply the advanced features and components of Grafana for data visualization and analysis.

Upon completing this training, participants will be able to:

• Develop a comprehensive understanding of advanced Grafana concepts and components.
• Utilize template variables and dynamic dashboards to enhance data visualization.
• Employ Grafana Query Language to execute complex queries.
• Acquire best practices for scaling Grafana, optimizing performance, and maintaining high availability.

This instructor-led live training in Kenya (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.

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

• Understand the difference between observability and monitoring.
• Install and set up the Grafana server.
• Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
• Create, manage, and customize dashboards and charts.
• Use variables and queries to create dynamic dashboards.
• Set up notifications and alerts through Grafana.
• Install and manage plugins to extend Grafana’s functionality.

This instructor-led live training in Kenya (available online or onsite) is designed for web developers and DevOps engineers who wish to visualize and monitor data using Grafana and Graphite.

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

• Aggregate and visualize metrics about systems and applications.
• Create a StatsD client for gathering application metrics.
• Build informative and dynamic dashboards with Grafana.
• Gather insights from back-end performance.

This instructor-led, live training in Kenya (online or onsite) is aimed at intermediate-level Grafana users who wish to build interactive, drill-down dashboards with dynamic thresholds and contextual updates.

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

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

This instructor-led, live training in Kenya (online or onsite) is tailored for beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.

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

• Grasp the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus on a Linux environment.
• Set up basic data sources and dashboards in Grafana.
• Monitor system metrics and visualize data using Prometheus.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate-level cloud and DevOps engineers seeking to enhance cloud observability with Grafana and Prometheus.

Upon completing this training, participants will be able to:

• Grasp the advantages of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus to monitor cloud-based resources.
• Configure Grafana to visualise metrics from cloud services.
• Utilise cloud-native tools and integrations to ensure monitoring scalability.

Grafana and Prometheus are industry-standard tools used to monitor, visualize, and alert on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualizations and alerts across distributed systems.

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

• Install and configure Grafana and Prometheus in production-ready setups.
• Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards with variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Kenya (online or onsite) is tailored for beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.

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

• Grasp the purpose and significance of monitoring in IT environments.
• Install and configure Grafana and Prometheus for basic monitoring tasks.
• Create simple dashboards and alerts to visualize system performance.
• Apply best practices for monitoring system availability and performance.

This instructor-led, live training in Kenya (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.

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

• Set up Prometheus and Grafana for Kubernetes monitoring.
• Monitor key metrics for pods, nodes, and services.
• Create dynamic dashboards to visualize cluster health and performance.
• Implement alerting strategies for proactive issue resolution.
• Apply best practices for scaling monitoring solutions in Kubernetes environments.

This instructor-led, live training in Kenya (online or onsite) targets advanced-level DevOps engineers and SREs who aim to manage and scale Prometheus and Grafana effectively in large environments.

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

• Architect Prometheus and Grafana for large-scale and distributed environments.
• Optimize Prometheus performance for high-traffic systems.
• Configure Grafana for large datasets and complex visualizations.
• Implement advanced troubleshooting and scalability strategies.