Monitoring Kubernetes with Prometheus Training in Copenhagen, Denmark

This instructor-led course equips DevOps engineers, SREs, and platform teams with the skills to monitor Kubernetes clusters using Prometheus and related tools. It covers core monitoring principles, Prometheus architecture, Kubernetes metrics, alerting, dashboards, and best practices for observability in cloud-native environments.

Introduction to Prometheus and Kubernetes Monitoring

Introduction to Monitoring and Observability

  Core concepts: metrics, logs, traces

  Difference between monitoring and observability

  CNCF observability landscape

Prometheus Architecture and Concepts

  Overview of Prometheus components

  Data collection and time series storage

  Service discovery in dynamic environments

  Pull vs push model and exporters

Installing Prometheus in Kubernetes

  Using kube-prometheus-stack or Helm chart

  Components: Prometheus, node-exporter, kube-state-metrics

  Understanding Prometheus configuration and CRDs

Scraping Metrics in Kubernetes

  Auto-discovery of pods, nodes, and services

  Setting up scrape configurations and relabeling

  Using annotations and service monitors

PromQL, Visualization, and Alerting

Querying Metrics with PromQL

  PromQL syntax and query structure

  Working with labels, filters, and aggregations

  Writing queries for pod health, CPU, memory, and service uptime

Visualizing Metrics with Grafana

  Connecting Grafana to Prometheus

  Creating dashboards and using variables

  Pre-built dashboards for Kubernetes monitoring

Alerting with Alertmanager

  Setting up alert rules in Prometheus

  Alert routing and grouping in Alertmanager

  Integrating with email, Slack, and other notification systems

Monitoring Best Practices and Scalability

  Choosing the right metrics and alerts

  Securing Prometheus endpoints

  Federation, remote write, and scaling considerations

Hands-on Exercises

Summary and Conclusio