Grafana and GLPI Administration Training Course

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

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

• Develop and manage advanced alerting rules in Prometheus.
• Connect Prometheus Alertmanager with external tools using webhooks.
• Automate alert responses to resolve issues more quickly.
• Utilize Grafana to visualize and manage alerts efficiently.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring practices using Grafana and Prometheus.

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

• Master best practices for designing effective dashboards.
• Develop and configure advanced Grafana dashboard components.
• Utilize Grafana templating to create dynamic and reusable dashboards.
• Implement alerting systems to boost operational awareness.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at 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 in Uzbekistan (onsite or remote) is designed for data analysts who wish to use Grafana for monitoring and visualising data.

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

• Set up the necessary development environment to begin creating visualisations in Grafana.
• Configure Grafana for high availability.
• Customise panels and dashboards with data.
• Configure a reverse proxy to ensure fast loading speeds.

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

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

• Gain an in-depth understanding of advanced Grafana concepts and components.
• Leverage template variables and dynamic dashboards for enhanced data visualization.
• Use Grafana Query Language for complex queries.
• Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at 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 Uzbekistan (online or onsite) targets web developers and DevOps engineers who wish to visualize and monitor data using Grafana and Graphite.

By the end 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 Uzbekistan (online or onsite) is designed for intermediate-level Grafana users who want to build interactive dashboards featuring drill-down capabilities, 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 Uzbekistan (online or onsite) is designed for beginner-level IT professionals and DevOps practitioners aiming to learn the fundamentals of Grafana and Prometheus.

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

• Understand the purpose and key features of Grafana and Prometheus.
• Install and configure Grafana and Prometheus in 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 Uzbekistan (online or onsite) is designed for intermediate-level cloud and DevOps engineers aiming to enhance cloud observability using Grafana and Prometheus.

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

• Understand the advantages of integrating Grafana and Prometheus with cloud platforms.
• Set up Prometheus to monitor cloud-based resources.
• Configure Grafana for visualizing cloud service metrics.
• Utilize cloud-native tools and integrations for scalable monitoring.

Grafana and Prometheus are widely recognized as industry-standard tools for monitoring, visualizing, and alerting on IT infrastructure and application metrics through real-time dashboards and integrations.

This instructor-led, live training session (available online or onsite) is designed for intermediate to advanced IT professionals who aim to integrate Grafana with Prometheus and various data sources, while building 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 environments.
• Integrate multiple data sources, including SQL, Elasticsearch, InfluxDB, and cloud APIs.
• Create advanced dashboards using variables, templating, transformations, and alerts.
• Apply best practices in data modeling, performance tuning, and user access control.

Format of the Course

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

Course Customization Options

• To request a customized training session, please contact us for arrangements.

This instructor-led, live training in Uzbekistan (online or onsite) targets 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:

• Understand the purpose and importance 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 Uzbekistan (online or onsite) is designed for advanced-level Kubernetes administrators and DevOps engineers who aim to enhance their monitoring expertise 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 Uzbekistan (online or onsite) is designed for advanced-level DevOps engineers and SREs who aim to effectively manage and scale Prometheus and Grafana in large environments.

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

• Design Prometheus and Grafana for large-scale and distributed environments.
• Enhance Prometheus performance for high-traffic systems.
• Configure Grafana for handling large datasets and complex visualizations.
• Apply advanced troubleshooting and scalability strategies.