Grafana and Prometheus Training in Copenhagen, Denmark

This hands-on training provides participants with the skills to implement modern observability using Prometheus for monitoring and Grafana for visualization. It covers metric collection, PromQL querying, alerting, and building dashboards. The course combines theoretical understanding with practical labs focused on monitoring infrastructure, services, and application performance.

Prometheus Fundamentals and Metric Collection

Introduction to Observability and Metrics

  Observability pillars: metrics, logs, traces

  Role of Prometheus and Grafana in modern monitoring

  Use cases for infrastructure, applications, and services

Prometheus Architecture and Setup

  Prometheus server components

  Pull model and time-series data storage

  Installing Prometheus in standalone or container mode

  Basic configuration structure (prometheus.yml)

Metric Types and Exporters

  Counter, Gauge, Histogram, Summary

  Node Exporter and custom exporters

  Understanding metric exposition formats

Scraping Targets and Service Discovery

  Static configuration and dynamic discovery

  Job labels and metric organization

  Inspecting targets and troubleshooting

PromQL, Grafana Dashboards, and Alerting

Querying Metrics with PromQL

  Query syntax, filters, and time selectors

  Label selectors and regex filtering

  Aggregations, rates, and averages

Connecting Prometheus to Grafana

  Installing Grafana and configuring data sources

  Navigating Grafana UI

  Setting permissions and folder structures

Building Dashboards in Grafana

  Creating panels and using variables

  Visualizing time-series, tables, and heatmaps

  Using community dashboards and templates

Alerting with Prometheus and Grafana

  Creating alert rules in Prometheus

  Setting thresholds, conditions, and durations

  Configuring Alertmanager for routing

  Grafana alerting features and best practices

Hands-on Exercises

Summary and Conclusion